7 Best Agentforce Alternatives (2026): Cheaper AI Agents

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Jul 6, 2026 12:07 PM

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Mike Heap

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Ecomm?

Are there alternatives to Agentforce if I want AI customer service?

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TL;DR: Yes. Agentforce is Salesforce-native and needs Service Cloud, but a whole category of standalone AI agents plugs into any mainstream helpdesk (or runs on its own), most at a fraction of the total cost.

Yes, and there are more than you would think from Salesforce's marketing. Agentforce is a good product if you already live inside Salesforce, but it is a Salesforce-native agent first and an AI customer service tool second. It runs on the Salesforce Platform, it needs Service Cloud (Enterprise or Unlimited edition), and it needs Data Cloud for the Trust Layer and logging.

There is no native integration with Zendesk, Intercom, Freshdesk, HubSpot or Gorgias. Salesforce positions each of them as a helpdesk to replace rather than one to plug into. If you want Agentforce answering tickets inside a non-Salesforce helpdesk, your only route is MuleSoft, which is a separately licensed product on top.

The wider market is full of standalone AI agents that do the opposite. They sit on top of whatever helpdesk you already run, or they run on their own. Most of them cost a fraction of the Salesforce total, and this post reviews seven: Intercom Fin, eesel AI, Forethought, Sierra, Decagon, Ada, and My AskAI.

Before the reviews, it is worth doing the cost math the vendor listicles gloss over, because it is the single biggest reason buyers go looking. Agentforce launched in October 2024 at $2 per conversation, a model SaaStr says "immediately priced out nonprofits, SMBs, and any organization without a large AI budget".

In May 2025 Salesforce added Flex Credits ($500 per 100,000 credits, where one standard action is 20 credits or $0.10), then per-user add-ons later that year ($125 per user per month, or $550 for the Agentforce 1 editions). That is three pricing models in eighteen months, and unused Flex Credits do not roll over.

Four stats about Salesforce Agentforce: three pricing models in eighteen months, a real first-year cost of $200K to $600K, a typical deployment of five to eleven months, and fewer than ten percent of customers scaled beyond a pilot.

Stack it up and a realistic mid-market deployment (say 30 seats) runs $200,000 to $450,000 in year one once you add the Service Cloud licenses, the Flex Credits, and the implementation. A third-party analysis puts the real number for a 50-person team at $447,000 to $600,000 a year, against an advertised figure closer to $75,000. And you pay per conversation or per action whether the agent resolves the ticket or hands it to a human, so an escalation costs you twice.

The other thing to know before you commit: the marketing accuracy numbers and the real ones are not the same. Marc Benioff has publicly pegged Agentforce accuracy at around 93%, but Salesforce's own CRMArena-Pro benchmark found an out-of-the-box agent scored roughly 35% on multi-turn enterprise tasks before customization, and real customer resolution rates cluster nearer 40% to 70% (take any headline accuracy number with a grain of salt).

Adoption tells the same story: Salesforce reported 29,000 Agentforce deals by early 2026, but industry analysis suggests fewer than 10% of customers have scaled it beyond a proof of concept. None of that makes Agentforce a bad product; it makes it an enterprise product with an enterprise bill and an enterprise timeline, which is exactly why the alternatives below exist.

What is the overall comparison of the 7 Agentforce alternatives?

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TL;DR: My AskAI leads at 68/80, then Intercom Fin (65), eesel (63), Forethought (55), Sierra (54), Decagon (53) and Ada (44). The transparent-pricing, fast-setup tools win a cost-driven switch off Agentforce.

I scored all seven on the same eight criteria, each out of 10, from the research notes behind this post rather than from vendor claims. Here is how they land. Columns run highest overall to lowest, and the winning cell in each row is highlighted.

Pricing models grouped: flat per ticket (My AskAI, $0.10); flat per month (eesel, $239 to $639); per outcome (Intercom Fin $0.99, Sierra); and sales-gated six-figure contracts (Forethought, Decagon, Ada).

(scores out of 10)	My AskAI	Intercom Fin	eesel AI	Forethought	Sierra	Decagon	Ada
Helpdesk & CRM integrations	8	9	8	8	4	6	7
Ease of setup & time-to-value	10	8	10	3	5	6	3
Training sources	10	7	9	9	7	8	5
Features	9	9	7	9	9	8	8
Improving over time	9	9	8	8	9	8	6
Security & compliance	6	9	6	8	9	7	5
Maturity	6	9	6	8	9	8	8
Cost & pricing transparency	10	5	9	2	2	2	2
Overall (out of 80)	68 (85%)	65 (81%)	63 (79%)	55 (69%)	54 (68%)	53 (66%)	44 (55%)

The headline: the enterprise agents (Sierra, Decagon, Ada) are genuinely strong on features, security and maturity, but they land where Agentforce does on cost and setup, sales-gated, six-figure, and months to deploy. The three that win a buyer leaving Agentforce for cost and speed reasons are the ones that combine transparent pricing with a fast rollout: My AskAI, eesel, and Intercom Fin. Fin is the most mature of the lot and has the highest published resolution quality; it also charges per outcome, so the bill climbs as the agent gets better.

Here is the same grid in plain words, so you can read a criterion across without decoding scores.

(at a glance)	My AskAI	Intercom Fin	eesel AI	Forethought	Sierra	Decagon	Ada
Helpdesk & CRM integrations	Zendesk/Intercom/Freshdesk/Gorgias/HubSpot, no Salesforce	Native + Zendesk/Salesforce/Freshdesk/HubSpot	100+ incl. Salesforce	70+ tools incl. Salesforce	API only, no native apps	Zendesk/Salesforce/Intercom/Kustomer	Zendesk/Salesforce/contact-center
Ease of setup & time-to-value	~10 min, self-serve	Under an hour, no-code	Under 15 min, self-serve	30-90 days, sales-led	Sales-led, ~90 days	White-glove, ~6 weeks	8-16 weeks, sales-led
Training sources	Helpdesks + wikis + tickets	Help center + URLs + files	100+ sources	Tickets + KB + 18 systems	Docs + transcripts + voice	Knowledge graph + APIs	Structured KBs only
Features	Tasks, User Data, Self-Learning	Procedures, Vision, Voice	Agent, Copilot, Triage	Multi-agent suite	Agent OS + voice	AOPs + Watchtower QA	Reasoning Engine + voice
Improving over time	Self-Learning + Insights	Simulations + Optimize	Simulation + gap reports	Discover + Agent QA	Experiments + Voice Sims	Versioning + Watchtower	Coaching + analytics
Security & compliance	SOC 2 Type II, GDPR	8 certs incl. HIPAA	SOC 2 Type II, GDPR	SOC 2 Type II, HIPAA	ISO 27001 + 42001, HIPAA	SOC 2 Type II, HIPAA	SOC 2, GDPR
Maturity	200+ customers, since 2023	7,000+ teams, category leader	2,000+ companies	Since 2017, Zendesk-owned	$10B, Fortune-50 traction	$4.5B, 100+ enterprises	Since 2016, 5.5B+ chats
Cost & pricing transparency	$0.10/ticket, flat, public	$0.99/outcome + seats	$239-$639/mo flat	Opaque, ~$59.5K/yr	Opaque, $200K+/yr	Opaque, ~$386K/yr	Opaque, $30K+ floor

For context on where the whole field sits, our own AI resolution-rate benchmarks (195 rated deployments across roughly 55 vendors) put the median AI-handling rate at 70%, with most vendors between 56% and 80%. Treat that as a directional gravity point rather than a league table, because every vendor counts a "resolution" slightly differently, but it is a useful bar to hold each of these tools against.

How did I select these Agentforce alternatives?

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TL;DR: Every pick resolves customer conversations on its own and either plugs into a mainstream helpdesk or runs standalone. No Salesforce-only add-ons, no internal-copilot-only tools, no generic bot builders.

Every pick here is a production AI customer service agent that resolves customer conversations on its own and either plugs into a mainstream helpdesk or runs standalone. Selection criteria:

Autonomous, customer-facing resolution rather than an internal copilot alone.

A documented way to deploy, either inside a helpdesk you already run or as its own agent.

A real product with public documentation, rather than a marketing page.

Standalone chatbot builders, internal-copilot-only tools, and Salesforce-only add-ons are out. Platform swaps like ServiceNow and Microsoft Dynamics are out too, because the question is which AI agent to add rather than which CRM to migrate to.

How did I compare these Agentforce AI agents?

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TL;DR: Eight criteria, applied identically: helpdesk and CRM integrations, setup speed, training sources, features, improvement, security, maturity, and cost transparency.

Eight criteria, applied identically to every vendor. I keep answer quality inside each review rather than as a single score, because it depends so heavily on your own knowledge and setup that a number would flatter some tools and punish others.

A spectrum from minutes to months showing time to first live reply: My AskAI and eesel at minutes, Intercom Fin under an hour, Decagon around six weeks, Sierra and Forethought at one to three months, and Ada at eight to sixteen weeks.

Helpdesk & CRM integrations

Where can the agent actually run? Agentforce needs Salesforce, so for an alternative the useful question is breadth: does it deploy inside Zendesk, Intercom, Freshdesk, Gorgias or HubSpot, does it connect to your CRM, and can it run standalone if you have no helpdesk. More surfaces mean fewer dead ends later.

Ease of setup & time-to-value

How long from signing up to the agent answering a real ticket. This is the axis where the enterprise tools and the self-serve tools split hardest: minutes for some, a sales-led project measured in months for others.

Training sources

What knowledge can it learn from. A help center is the baseline; the better tools ingest past tickets, internal wikis (Notion, Confluence, SharePoint), uploaded files, website content and live data from your own systems.

Features

In practice, the capabilities that matter are all agentic: multi-step workflows and actions (refunds, order lookups, account changes), a copilot mode for your team, auto-tagging and routing, analytics, and image handling.

Improving over time

How the agent gets better after go-live: gap detection, simulation against past tickets before you launch, self-learning from human replies, and a QA loop that scores conversations.

Security & compliance

The actual certifications, not "enterprise-grade" hand-waving: SOC 2 Type II, GDPR, HIPAA, ISO 27001, FedRAMP, PCI-DSS. This is where a regulated buyer's shortlist gets cut fast.

Maturity

How long the product has existed, how many customers it runs, and how stable the company is (yes, this counts against us too, since we are the youngest name on the list). A one-year-old agent and a category leader carry different risk.

Cost & pricing transparency

The pricing model and how predictable the bill is: flat per-ticket, per-outcome, per-seat, or a sales-gated six-figure contract. Transparency counts here, because half the reason people leave Agentforce is that they could not forecast the bill.

Is My AskAI a good Salesforce Agentforce alternative?

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TL;DR: My AskAI is an AI agent you add to Zendesk, Intercom, Freshdesk, Gorgias or HubSpot, or run standalone. Flat ~$0.10 per ticket, live in a day, 72% resolution across our base. No Salesforce Service Cloud deployment, no FedRAMP, no voice channel.

My AskAI is the AI customer service agent you add to your existing helpdesk, or run on its own, without buying a new platform. That is us, and since we top the scoreboard I will also be straight about where we lose further down. We resolve around 72% of tickets across our customer base on a rolling basis, we charge a flat per-ticket rate rather than per resolution, and most teams are live in a day.

G2: My AskAI scores 4.5/5 from 21 reviews on G2. "Achieved an incredible AI resolution rate of 70%, Saved our team a phenomenal 49,000 hours." via Howard B., Support Delivery Lead.

How does My AskAI integrate and deploy?

We run natively inside five helpdesks: Zendesk, Intercom, Freshdesk, Gorgias and HubSpot. If you do not run a helpdesk, we deploy as our own chat widget on your site, over email, or inside Slack and Teams for your own staff.

There is one gap that matters for this post: we do not run as an agent inside Salesforce Service Cloud (we can pull knowledge from a Salesforce source, but we do not deploy there). If Salesforce is your system of record and you want the agent living inside it, that is Agentforce's home turf rather than ours.

How easy is it to set up My AskAI?

Fast. You point us at your help center, website or Shopify store, and the agent is answering in minutes. A standard setup needs no developer. Connecting your own systems through the User Data API or building Tasks takes a little longer, and that step is paced by your own team's availability rather than by us.

If you have no help center to train on, that is not a blocker either. Our Train on Historic Tickets feature drafts starter knowledge articles from your last 5,000 resolved tickets, so a team with no written docs can still get an agent live from day one.

What knowledge sources can I train My AskAI on?

More than most native helpdesk AIs. Alongside your help center, we connect to Google Drive, Notion, Confluence, SharePoint, OneDrive, Dropbox, Salesforce and Shopify, plus website sync, direct file uploads, custom answers and past tickets. Custom Answers let you pin exact wording for scripted or regulated responses, which is handy when a compliance team needs a specific phrase every time.

What features does My AskAI have?

The core is Tasks and Tools: natural-language workflows that let the agent look up an order, process a refund, or update an account by calling your APIs. You choose whether the agent actions those itself or drafts them for a human to approve, per action, and most teams open up autonomy as their confidence grows. The User Data API is the single biggest lever on resolution rate, because it turns "where is my order?" from an escalation into an instant answer.

Around that sit Self-Learning (the agent drafts new knowledge articles by comparing its replies to your agents' real ones), Insights (which scores 100% of conversations for AI CSAT, not a 2-10% sample), Image Reading, auto-tagging on Zendesk, Intercom and Freshdesk, and a free AI Copilot Chrome extension that drafts replies for your agents with no per-seat charge.

How do I improve my My AskAI responses?

Self-Learning does most of the ongoing work, turning handed-over tickets into fresh knowledge every week. When you want to know why the agent said something, you can ask Echo, the in-dashboard assistant, why it gave any answer and which source it used, and Echo will also make the fix for you (rewriting Guidance, editing a Custom Answer). The big resolution gains land in the first few weeks and then keep climbing as your knowledge fills in.

How secure is My AskAI?

We are SOC 2 Type II certified and GDPR compliant, with AES-256 encryption at rest and TLS in transit, and every customer's data sits in its own isolated container and is never used to train models. You can read our live trust report any time.

Who is using My AskAI?

We founded My AskAI in 2023, and today more than 200 SaaS and ecommerce teams rely on us, with over a million tickets resolved between them, so we are past the early-startup stage even if we are younger than the enterprise names here. RecruitCRM reaches 68% resolution in SaaS support, TravelJoy went from 24% resolution on Zendesk's own AI to 76% after switching to us, and Kriptomat chose us after rejecting Intercom Fin's $0.99-per-resolution pricing as uneconomical at its volumes.

How much does My AskAI cost?

Flat and public. Pro is $199 a month (1,000 credits), Scale is $499 a month (2,000 credits, branding removal, your SOC 2 report), and Enterprise starts at $999, all listed on our pricing page.

A typical chat ticket works out at about $0.10, and crucially you pay per ticket rather than per resolution, so your bill stays flat as the agent gets better instead of rising with it. On a 10,000-ticket month at 75% resolution, that is around $1,299 on Scale, against roughly $7,425 for Intercom Fin at the same volume.

Video preview — I Let AI Agents Resolve 10,000 Support Tickets, Here's How Much It Cost

You can prove all of that before you pay: the 30-day free trial unlocks every feature, with unlimited tickets and no card required.

Where My AskAI loses to Agentforce and the alternatives

I said I would be straight about this, and it is a comparative post, so here is where we genuinely lose:

Enterprise compliance. Agentforce is FedRAMP High with 40-plus certifications and the Einstein Trust Layer. We hold SOC 2 Type II and GDPR, and we do not carry FedRAMP, HIPAA or ISO 27001. If your procurement requires those, we are not your tool.

Salesforce-native depth. If you are already all-in on Service Cloud, Agentforce reads your CRM data natively with no integration work. We do not deploy inside Salesforce, so we cannot match that.

Voice. Agentforce Voice and Sierra's voice are production-grade. We do not ship a voice channel today.

Enterprise scale and logos. Sierra, Decagon and Ada are built for 50,000-plus-conversation deployments with Fortune 500 names and hands-on implementation teams. We are strongest for SMB and mid-market.

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Choose My AskAI if:

You want out of Salesforce lock-in, or you never ran Service Cloud in the first place.

You want a flat, forecastable bill with no per-resolution surprises.

You want to be live on your existing helpdesk this week rather than this quarter.

You want self-learning plus a way to audit exactly why the agent answered as it did.

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Don't choose My AskAI if:

You are committed to the Salesforce ecosystem and want CRM-native data access.

You need FedRAMP, HIPAA or a production voice channel.

You need 50,000-plus-conversation enterprise throughput with named Fortune 500 references and a dedicated implementation team.

Is Intercom Fin a good Salesforce Agentforce alternative?

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TL;DR: Fin is the most-deployed AI agent (7,000+ teams) with the highest published resolution here (~67%, Apex ~76%). It costs $0.99 per outcome plus Intercom seats, with a 14-day trial. Salesforce is acquiring it, which is worth weighing if you are leaving Salesforce.

Fin is the most-deployed AI agent in the category, running for over 7,000 teams, and it has the highest published resolution quality here (it genuinely earns its second place on the scoreboard). It sells as an add-on inside Intercom, or standalone on top of Zendesk, Salesforce, Freshdesk or HubSpot.

One thing to weigh if you are specifically leaving Agentforce: Salesforce signed a definitive agreement in June 2026 to acquire Fin for around $3.6 billion, expected to close in Salesforce's FY2027. Buying the tool you picked to escape Salesforce, only to have Salesforce buy it, is at least worth thinking about.

G2: Intercom Fin scores 4.5/5 from 3,733 reviews on G2. "Fin resolves a high percentage of customer questions autonomously, which reduces ticket volume and frees human agents." via Jan B., an enterprise reviewer.

The gripe you hear everywhere is the flip side of that: cost per resolved conversation can climb at volume.

How does Intercom Fin integrate and deploy?

Deepest inside Intercom itself, but you can run Fin standalone on Zendesk, Salesforce Service Cloud, Freshdesk or HubSpot, and connect live data through Shopify, Stripe and custom APIs. The catch on standalone: Slack and proactive outbound are not supported when Fin runs outside Intercom (a real gotcha if you were planning to run it on top of Zendesk).

How easy is it to set up Intercom Fin?

Quick to switch on (Intercom claims under an hour, and a Zendesk customer cited 30 minutes), no code required. Getting from switched-on to your target resolution rate takes real content work, though; one reviewer started at 28% out of the box before tuning.

What knowledge sources can I train Intercom Fin on?

Help Center articles sync instantly, and you can add internal articles, snippets, PDF and DOCX uploads, and public URLs. One important limit: Notion, Guru and Confluence are Copilot-only, meaning they can assist your agents but cannot power Fin's autonomous customer-facing replies. If your best knowledge lives in Notion, that matters.

What features does Intercom Fin have?

The standout is Fin Procedures, natural-language multi-step workflows with built-in simulation (this replaced the older Tasks surface, which Intercom deprecated in March 2026). Around it sit Fin AI Copilot for agent assist, Fin Vision for reading images like screenshots and receipts, Fin Guidance for brand voice, and Fin Voice. It runs on Intercom's in-house Apex model (their own vertical model rather than a general-purpose LLM), now cited at around 76% average resolution.

How do I improve my Intercom Fin responses?

This is Fin's strongest area. It has batch tests, multi-turn simulations against your Procedures, a controlled percentage-based rollout, and an Optimize dashboard that groups unresolved conversations and generates weekly AI recommendations you can accept or reject. It is the most mature testing loop in this group.

How secure is Intercom Fin?

Broad. Fin carries SOC 2 Type II, ISO 27001, ISO 27018, ISO 27701, ISO 42001, a HIPAA attestation and HDS, plus GDPR and CCPA, all verifiable on Intercom's trust page. The one gap worth noting is PCI-DSS.

Who is using Intercom Fin?

Anthropic runs Fin at 40,000 to 50,000 monthly resolutions (starting at around 51% resolution in month one and climbing toward 58%), and Lightspeed reports up to 65% of conversations resolved. Its customer roster is the strongest in the category.

How much does Intercom Fin cost?

$0.99 per outcome, layered on Intercom seats ($29 to $132 per seat per month), or standalone at $0.99 per outcome with a 50-outcome monthly minimum. There is a 14-day free trial. The recurring complaint across every review surface is that the bill scales with success, and Intercom decides what counts as a resolved outcome, which makes forecasting hard at volume.

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Choose Intercom Fin if:

You run high-volume support with an AI-ready knowledge base and can absorb usage-based billing.

You want the broadest channel coverage and the deepest testing and analytics tooling.

You value best-in-class raw resolution quality and a $1M performance guarantee at enterprise scale.

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Don't choose Intercom Fin if:

You are cost-sensitive or low-volume; the per-outcome bill grows as Fin improves.

Your best knowledge lives in Notion or Confluence, which cannot drive autonomous replies.

You want to avoid Salesforce, given the pending acquisition.

Is eesel AI a good Salesforce Agentforce alternative?

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TL;DR: eesel is a self-serve AI layer on top of your existing helpdesk, live in minutes with a real simulation mode. Flat pricing from $239 to $639 a month, with a 7-day trial. It is text-only, and the real automation sits on the $639 Business tier.

eesel is the fastest and most transparent of the plug-and-play layers. It sits on top of a helpdesk you already run, gives you an AI Agent, a Copilot and a Triage tool, and lets you set the whole thing up yourself in minutes. Its real strength is a genuine simulation mode that tests the agent against thousands of your past tickets before it ever replies to a customer (so you see the deflection rate before launch rather than after).

G2: eesel scores 4.6/5 from 15 reviews on G2. "In the first month, eesel is resolving 73% of our tier 1 requests." via Kim S., a support manager.

How does eesel AI integrate and deploy?

Broadly. It connects to Zendesk, Freshdesk, Intercom, Gorgias, HubSpot, ServiceNow, Help Scout, Zoho Desk, Front and Salesforce Service Cloud, plus Slack, Teams and Discord, a website widget and email. It claims over 100 integrations. The gap is voice: eesel is text-only.

How easy is it to set up eesel AI?

The easiest here. It is fully self-serve, no payment details to start, and G2 users report helpful responses inside 15 minutes. The simulation mode means you can forecast deflection and spot gaps before you go live, which takes a lot of the risk out of a self-serve rollout.

What knowledge sources can I train eesel AI on?

Over 100 sources: Confluence, Notion, SharePoint, Google Drive, Guru, any help center, macros, past tickets (up to 3,000 on Business, unlimited on Custom), uploaded files, product catalogs, public URLs and even YouTube. Source control is granular down to the page.

What features does eesel AI have?

An AI Agent for autonomous resolution, an AI Copilot that drafts replies for verification, and AI Triage that routes, tags and closes tickets and filters spam. AI Actions handle Shopify lookups and API calls. The bulk simulation and gap-analysis reports are the differentiator.

How do I improve my eesel AI responses?

The simulation-plus-gap-analysis loop is the core: it forecasts performance, flags missing training data, and tracks the edits your agents make to drafts as a training signal (so the agent gets better every time your team corrects it). There is an optional structured 90-day rollout from Copilot to Agent to Triage.

How secure is eesel AI?

SOC 2 Type II and GDPR, with CCPA compliance, an EU data residency option, 2FA and regular penetration testing. Its cert list is thinner than the enterprise tools here, with no HIPAA or ISO 27001 published.

Who is using eesel AI?

eesel is an established layer running for over 2,000 companies, with more than 70 million tickets processed to date, so it has a real track record even though it does not publish its funding. Named customers include Ecosa, an ecommerce mattress brand handling over 10,000 tickets a month, Yellowdig in edtech, and Smava, which runs over 100,000 tickets a month in German.

How much does eesel AI cost?

Flat and public, which is refreshing. Team is $239 a month billed annually (Copilot only), Business is $639 a month billed annually (this is where the real AI Agent, past-ticket training and AI Actions live), and Custom is sales-priced for unlimited volume.

There is a 7-day free trial with no card. The one thing to watch is that the meaningful automation sits behind the Business tier, with interaction caps above it.

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Choose eesel AI if:

You already run Zendesk, Intercom or Freshdesk and want to add AI without switching platforms.

You want to self-serve, go live in minutes, and de-risk with a real simulation mode.

You value transparent, predictable flat-rate pricing.

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Don't choose eesel AI if:

You have no helpdesk underneath it; you would be paying for two tools.

You need a voice channel.

Your volume blows past the interaction caps, or your budget cannot reach the $639-a-month Business tier where the automation lives.

Read more: our eesel complete guide, eesel alternatives, and My AskAI vs eesel.

Is Forethought a good Salesforce Agentforce alternative?

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TL;DR: Forethought is a deep multi-agent suite (Solve, Triage, Assist, Discover, Agent QA) on your helpdesk. Pricing is opaque (~$59,500 a year), setup runs 30 to 90 days with a 20,000-ticket minimum, and it is being acquired by Zendesk.

Forethought is the deepest multi-agent suite in this group, a set of coordinated agents (Solve, Triage, Assist, Discover and Agent QA) that sit on your helpdesk. Founded in 2017, it is genuinely differentiated on architecture, with a longer track record than most of this group. The large caveat: Forethought is being acquired by Zendesk (announced March 2026), so its future as a platform-neutral tool is uncertain, which matters if your helpdesk is not Zendesk.

G2: Forethought scores 4.3/5 from 165 reviews on G2. "the most capable Support-focused AI solution we have tried with high-quality built-in analytics and impact forecasting/reporting." via Brendan D., a Chief Customer Officer.

How does Forethought integrate and deploy?

Very broadly: over 70 tools including Salesforce, Zendesk, Intercom, Freshdesk, Gorgias, HubSpot, Kustomer and ServiceNow, plus call-center platforms like Five9 and Genesys, and connectors for Shopify, Slack and Snowflake.

How easy is it to set up Forethought?

It is a project. Most teams are fully live in 30 to 90 days, it is sales-led, and it works best with at least 20,000 historical tickets and 2,000-plus a month. There is no simulation mode to trial responses before going live, which is a real gap next to Fin and eesel.

What knowledge sources can I train Forethought on?

Deep: historical tickets, knowledge-base articles, past agent macros, CRM data, and 18 knowledge and LMS integrations (Confluence, Notion, Guru and more), with an MCP connector for custom data. It trains per-customer fine-tuned models rather than a shared one.

What features does Forethought have?

The core is Autoflows, a patent-pending way to define support logic in natural language rather than decision trees. Solve handles omnichannel resolution, Triage classifies and routes with sentiment and urgency, Agent QA scores 100% of interactions, and Discover spots the questions your content does not answer and drafts articles to cover them. Browser Agents (launched October 2025) can take action in systems that have no API.

How do I improve my Forethought responses?

Discover continuously analyzes tickets and knowledge to flag gaps and auto-generate articles, and Agent QA scores every interaction. The main limits reviewers raise are the lack of a simulation mode and CSAT analysis that leans manual (you end up eyeballing the dashboards yourself).

How secure is Forethought?

SOC 2 Type II, HIPAA and GDPR, with PII and PHI redaction by default. ISO 27001 is referenced but its certification status is not clearly confirmed, and FedRAMP and PCI-DSS are not stated.

Who is using Forethought?

Grammarly reports 87% deflection and went live in around a week and a half (fast, for a tool this heavy), and D2L closed 30% more cases with 13.7% faster resolution.

How much does Forethought cost?

Opaque. There is no public pricing; procurement data from Vendr puts the median annual contract at around $59,500, ranging from $40,000 to $160,000, billed annually. There is no free trial, only a guided proof-of-value evaluation.

✅

Choose Forethought if:

You are an enterprise or mid-market team with 20,000-plus historical tickets and a $40,000-a-year-plus budget.

You want a true multi-agent suite rather than a single product.

Your helpdesk is Zendesk, Salesforce or ServiceNow and you want omnichannel including voice.

❌

Don't choose Forethought if:

You are under about 2,000 monthly tickets or want self-serve signup and transparent pricing.

You need fast time-to-value; 30 to 90 days with no simulation mode is slow.

You want platform independence, given the Zendesk acquisition.

Is Sierra a good Salesforce Agentforce alternative?

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TL;DR: Sierra is an enterprise Agent OS from Bret Taylor, strong on voice and enterprise action-taking. It runs via API rather than a native helpdesk app, with opaque pricing around $200,000 to $350,000 in year one and no free trial.

Sierra is the marquee enterprise rival, the one Salesforce actually names on a comparison page. Founded by Bret Taylor (a former Salesforce co-CEO) and Clay Bavor, it is an "Agent OS", a standalone autonomous agent layer that sits above your CX and CRM systems across chat, voice, SMS, email and WhatsApp. It is strong on enterprise action-taking and voice, and expensive and opaque on price.

G2: Sierra scores 4.3/5 from 13 reviews on G2. "the efficiency and system integration capabilities, like with CRM and Zendesk, are extremely powerful, maintaining brand-aligned communication flawlessly." via Raf V., a G2 reviewer.

That is a small, unclaimed profile, so lean on the substance more than the score.

How does Sierra integrate and deploy?

Through APIs and its Agent SDK rather than as a marketplace app. It connects to CRM, order management and data warehouses via that SDK, so it can sit on top of a Salesforce or Zendesk stack, but it does not run inside a helpdesk as a native app, and the specific connectors are not publicly listed.

How easy is it to set up Sierra?

It is a guided enterprise engagement, sales-led with a roughly 90-day onboarding. Fast go-lives exist (Vivid Seats in four weeks), but reviewers note a steep learning curve. Its newer Ghostwriter tool (March 2026) is starting to move agent-building toward self-serve.

What knowledge sources can I train Sierra on?

FAQs, policies and SOPs, support-call transcripts, audio recordings and visual content through Ghostwriter, plus real-time data from CRM, order and warehouse systems and persistent agent memory. Its Expert Answers feature auto-generates knowledge articles from resolved conversations.

What features does Sierra have?

A mature suite: Agent Studio with a Journeys workflow builder and GitHub-style versioning, production-grade Voice with Voice Sims for testing under real-world noise, Insights, Live Assist copilot, and supervisory agents that check the primary agent's output before it sends.

How do I improve my Sierra responses?

Its optimization suite is one of the best here: Explorer for deep conversation research, Experiments for A/B testing, Monitors for anomaly and sentiment detection, Voice Sims, and Workspaces for version control and rollback.

How secure is Sierra?

Strong on paper: SOC 2, ISO 27001, ISO 42001 (a rare AI-management cert), HIPAA, GDPR, CCPA and CSA STAR Level One, with PII masking and no cross-org model training, all documented on Sierra's trust page. FedRAMP and PCI-DSS are not listed.

Who is using Sierra?

Rocket Mortgage reports four times higher conversion, and SiriusXM runs it across 34 million subscribers (a genuinely enterprise roster); other customers include Casper, WeightWatchers, SoFi and ADT.

How much does Sierra cost?

Opaque and high. There is no public pricing and no free trial; third-party estimates put it at around $150,000 a year minimum plus $50,000 to $200,000 of setup, so $200,000 to $350,000-plus in year one (firmly in Agentforce's own price bracket, in other words). It is outcome-based, so you pay on resolved outcomes.

✅

Choose Sierra if:

You are a large enterprise with high-volume, multi-channel support including voice.

You need robust compliance like HIPAA and ISO 42001 in a regulated industry.

You want a category leader with proven Fortune 50 traction and outcome-aligned billing.

❌

Don't choose Sierra if:

You are SMB or mid-market, or you need transparent, predictable pricing.

You want self-serve deployment onto an existing helpdesk; Sierra needs custom API work.

You want to edit agent logic yourself without vendor dependency.

Read more: our Sierra complete guide and Sierra alternatives.

Is Decagon a good Salesforce Agentforce alternative?

⚡

TL;DR: Decagon is an enterprise AI concierge built on natural-language Agent Operating Procedures, with a strong always-on QA layer (Watchtower). It integrates with Salesforce and Zendesk, at opaque pricing near a $386,000 median and no free trial.

Decagon is an enterprise "AI concierge" built around Agent Operating Procedures, natural-language SOPs that compile into production workflows, running across chat, email, voice and SMS. It has the strongest G2 sentiment in the group and a genuinely good QA layer in Watchtower. Like the other enterprise tools, its pricing is opaque and high.

G2: Decagon scores 4.9/5 from 18 reviews on G2. "When we launched Decagon for chat, it immediately deflected 75-80% of our tickets." via a G2 reviewer in e-learning.

It is a small sample, so weigh the detail over the number.

How does Decagon integrate and deploy?

It connects to Salesforce (Customer 360 and case creation), Zendesk, Intercom and Kustomer, with voice through Amazon Connect and RingCentral, and an MCP connector for open integration. The gaps: no Freshdesk or HubSpot, no social channels, and its Agent Assist copilot is Zendesk-only. It also needs a separate helpdesk for human handoff.

How easy is it to set up Decagon?

White-glove, with dedicated agent product managers and forward-deployed engineers. Core infrastructure can be up in days, and a full deployment runs around six weeks, but complex workflows still need engineers on hand and there is no self-serve signup.

What knowledge sources can I train Decagon on?

A unified knowledge graph that ingests help-center content (Zendesk, Kustomer, Guru, Confluence), product docs, past transcripts, Salesforce CRM data, internal business APIs, SOPs, Slack, and Shopify and Stripe data. Knowledge Suggestions auto-drafts articles from gaps.

What features does Decagon have?

The core is Agent Operating Procedures plus an AOP Copilot that turns plain-English SOPs into workflows. Watchtower is an always-on QA layer that reviews every conversation against your rubrics and flags fraud or compliance risks (the kind of thing a fintech or healthcare buyer actually cares about), Trace View gives observability, and AI Actions handle refunds, order updates and identity verification.

How do I improve my Decagon responses?

Through iterative AOP refinement, agent versioning with rollback, simulations against AI-generated mock personas, regression testing on historical transcripts, live experiments, and Watchtower's continuous QA. It is a coherent loop, even if some of it is still maturing (the versioning and regression-testing pieces are relatively recent additions).

How secure is Decagon?

SOC 2 Type II, GDPR, and HIPAA with BAAs available, plus AES-256 encryption, zero-day retention with LLM providers, and PII redaction via Google DLP. ISO 27001 and CCPA are not clearly confirmed (the trust badges on the site are image-only, so verify directly if you are in a regulated vertical), and FedRAMP and PCI-DSS are not stated.

Who is using Decagon?

Founded in 2023 and now valued at around $4.5 billion, Decagon runs for over 100 enterprise customers. Substack reports 90% resolution, Chime reports 70% resolution and a doubled NPS, and Bilt Rewards cites a $1.75M cost reduction; Notion, Rippling and Duolingo also run it.

How much does Decagon cost?

Opaque and enterprise-scale. There is no public pricing and no free trial; procurement data puts the median annual contract near $386,000, with a floor around $95,000. It bills per conversation or per resolution (so the bill moves with volume, which is the exact unpredictability a lot of people leave Agentforce to escape).

✅

Choose Decagon if:

You are an enterprise with 50,000-plus annual conversations and multi-channel needs including voice.

You run Zendesk or Salesforce and want deep, SOP-driven workflow control.

You value strong QA and observability and can budget six figures.

❌

Don't choose Decagon if:

You are SMB or mid-market, or you need transparent, predictable pricing.

You run Freshdesk or HubSpot, or need social and WhatsApp channels.

You want a standalone tool that does not need a separate helpdesk for handoff.

Read more: our Decagon complete guide and Decagon alternatives.

Is Ada a good Salesforce Agentforce alternative?

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TL;DR: Ada is a mature omnichannel enterprise agent (chat, voice, email, social) with a strong voice product. Pricing is opaque from a ~$30,000 floor, setup runs 8 to 16 weeks, and it has thinner support for modern knowledge sources, with no free trial.

Ada is a mature, omnichannel enterprise agent platform (the oldest company in this list, founded in 2016) that sits above your helpdesk across chat, voice, email and social. Its strengths are breadth of channel and a genuinely mature voice product; its weaknesses are opaque, sales-gated pricing and thinner support for modern knowledge sources.

G2: Ada scores 4.6/5 from 173 reviews on G2. "You write out what you want, and Ada turns your thoughts into an effective protocol for your chatbot." via Danielle G., a Director of Customer Support.

How does Ada integrate and deploy?

Broad on helpdesks and contact centers: Zendesk (deepest), Salesforce Service Cloud, Oracle Service Cloud, Freshworks, Kustomer, Gladly, Help Scout and Gorgias, plus contact-center platforms like NICE, Genesys and Amazon Connect. The gaps are on the knowledge side: no native Notion, Confluence, Google Drive or SharePoint, and no native commerce connectors.

How easy is it to set up Ada?

It is an enterprise project: sales-led, CSM-heavy, and typically 8 to 16 weeks (longer for regulated or voice deployments). Reviewers note that its Playbooks take significant time and expertise to design, and there is no self-serve start.

What knowledge sources can I train Ada on?

It learns best from structured knowledge bases (Contentful, Guru, Helpjuice, ServiceNow Knowledge and Salesforce Knowledge). It is weaker on less-structured inputs like internal wikis, Google Docs and historical ticket transcripts, and there is no bulk historical-ticket simulation.

What features does Ada have?

The centerpiece is its Unified Reasoning Engine (launched February 2026), a single agent brain replicated across chat, voice, messaging and email. Around it sit Playbooks for multi-step SOP-following workflows, Coaching (where reviewers leave feedback on past conversations the agent learns from), and a mature Voice product.

How do I improve my Ada responses?

Mainly through Coaching, feedback-driven improvement where your team reviews past conversations, plus conversation analytics. It does not publish a bulk-simulation loop (the "run it against your last 5,000 tickets before launch" safety net that eesel, Fin and Forethought all give you), which is a real gap if you like to de-risk before going live.

How secure is Ada?

SOC 2, GDPR and CCPA are stated. ISO 27001, a HIPAA BAA and PCI-DSS are not clearly confirmed, and data residency is not documented, so a regulated buyer should verify specifics directly.

Who is using Ada?

Tilt reports 84% automated resolution on chat and IPSY cites a 943% ROI; other customers include Wealthsimple, Square and Pinterest.

How much does Ada cost?

Opaque, with an enterprise floor. It uses a platform fee plus per-resolution pricing, sales-gated, with an estimated floor around $30,000 a year and typical enterprise deals of $100,000 to $300,000-plus. There is no free trial and no self-serve start, and "resolution" is a contractual variable rather than a published definition (so, firmly enterprise territory).

✅

Choose Ada if:

You are an enterprise with 300,000-plus annual conversations wanting one agent across chat, voice, email and social.

You already run a separate ticketing or contact-center stack and want an AI layer above it.

You value hands-on, CSM-led onboarding and SOP-driven Playbooks.

❌

Don't choose Ada if:

You are mid-market or SMB; the floor and the 8-to-16-week rollout exclude you.

Your knowledge lives in Notion, Confluence, Google Drive or SharePoint.

You need transparent public pricing, a free trial, or a self-serve start.

Read more: our Ada complete guide and Ada alternatives.

Which Salesforce Agentforce alternative is best?

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TL;DR: My AskAI for a cost-and-speed switch off Salesforce; Intercom Fin for the highest resolution (though Salesforce is buying it); eesel for the cheapest self-serve layer; Sierra, Decagon or Ada for a like-for-like enterprise agent.

There is no single winner here, and I will not pretend otherwise: the right pick depends entirely on why you are leaving Agentforce in the first place.

If you are leaving Agentforce because of cost, lock-in and the timeline, My AskAI is the pick, and that is the reader most of these searches represent: a flat per-ticket bill, live on your existing helpdesk in days, no Salesforce required. If you want the highest proven resolution quality and can absorb a bill that grows with success, Intercom Fin is the one to beat, with the caveat that Salesforce is buying it. If you want the cheapest, fastest self-serve layer on top of an existing helpdesk, eesel is hard to beat.

If you are a large enterprise that genuinely wants a like-for-like enterprise agent, with voice, named Fortune 500 references and a hands-on implementation team, then Sierra, Decagon and Ada are the real substitute set, and you should expect the same six-figure, sales-led profile as Agentforce itself. And if you are already deep in Service Cloud, have the enterprise budget, and have the partner capacity for a multi-month build, then staying on Agentforce is a perfectly defensible call. The whole point of this list is that most teams searching for it are not that reader.

If you want to see where you would land, you can start a free trial and have My AskAI answering your tickets today, then decide.

FAQs

Can I use AI for customer service without Salesforce?

Yes. Every tool in this post except Agentforce itself runs without Salesforce. Some, like My AskAI, eesel and Intercom Fin, deploy inside a mainstream helpdesk (Zendesk, Intercom, Freshdesk, Gorgias or HubSpot) or standalone; others, like Sierra, Decagon and Ada, sit above your existing stack via API. You do not need to be a Salesforce customer to run a capable AI agent.

Do you need Salesforce Service Cloud to use Agentforce?

Effectively, yes. Agentforce runs on the Salesforce Platform and needs a Service or Sales Cloud license (Enterprise or Unlimited edition) plus Data Cloud. You can embed its chat widget on an external site, but the agent itself lives inside a Salesforce org, so there is no way to run Agentforce without the underlying Salesforce stack.

Which Agentforce alternatives are cheaper than $2 per conversation?

Most of them, though they price differently. My AskAI is a flat ~$0.10 per ticket regardless of resolution; eesel is a flat monthly fee from $239 to $639; Intercom Fin is $0.99 per resolved outcome. The enterprise tools (Sierra, Decagon, Ada) are sales-gated six-figure contracts, so "cheaper per unit" is not the right lens for them.

How does outcome-based pricing differ from Agentforce's per-conversation pricing?

With outcome-based pricing (Intercom Fin, Sierra) you pay only when the agent resolves something, so an escalation to a human is free. With Agentforce you pay per conversation or per action whether or not it resolves, so an escalation costs you twice. Flat per-ticket pricing (My AskAI) is different again: you pay a small fixed amount per ticket, and because it does not rise with resolution, your bill stays flat as the agent improves.

Which is the best enterprise AI agent to replace Agentforce: Sierra, Decagon or Ada?

They are close, and it comes down to your priorities. Sierra leads on voice and compliance breadth (including ISO 42001), Decagon leads on workflow control and QA (its Watchtower layer), and Ada leads on omnichannel maturity. All three are sales-gated and land in the same six-figure, multi-month territory as Agentforce, so if cost and speed are why you are leaving, look at My AskAI, eesel or Fin first.

Which Agentforce alternatives can deploy without a long implementation?

The self-serve tools. My AskAI and eesel are both live in minutes to a day with no developer required, and Intercom Fin can be switched on in under an hour. By contrast, Forethought (30 to 90 days), Ada (8 to 16 weeks), Sierra (around 90 days) and Decagon (white-glove, around six weeks) are all sales-led projects.

Do any Agentforce alternatives offer a free trial?

Yes, which is notable because Agentforce does not (it is sales-led, with only a free developer edition). My AskAI offers a 30-day free trial with all features and unlimited tickets and no card, eesel offers a 7-day trial with no card, and Intercom Fin offers a 14-day trial. The enterprise tools (Sierra, Decagon, Ada, Forethought) are demo-only with no self-serve trial.

7 Best Salesforce Agentforce Alternatives (2026)