Mike HeapMike is an experienced Product Manager who focuses on all the “non-development” areas of My AskAI, from finance and customer success to product design, copywriting, testing and more.
Table of Contents
- Forethought vs Sierra AI at a glance
- How are Forethought and Sierra AI different from their old 'AI bots'?
- How does an AI customer service agent work inside a helpdesk versus above one?
- How can I use each agent: customer-facing, copilot, or voice?
- Direct replies
- Copilot replies
- Voice
- Which is easier to set up: Forethought or Sierra AI?
- How do Forethought and Sierra AI differ in what they can be trained on?
- 'Static' content
- 'Dynamic' content
- Which has better answer quality, Forethought or Sierra AI?
- What each side actually publishes
- Hallucinations and guardrails
- Is Forethought or Sierra AI easier to improve?
- Which has more features: Forethought or Sierra AI?
- How easy is it to customize Forethought and Sierra AI?
- What about vendor lock-in?
- Do they have any other AI features?
- Tagging and triage
- Agent translation
- Analytics and quality
- What about security, is Forethought more secure than Sierra AI?
- Which costs more, Forethought or Sierra AI?
- The pricing model
- The overall cost
- Conclusion - should I choose Forethought or Sierra AI?
- FAQs
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Forethought is a customer service AI platform, now owned by Zendesk, that still lists 22 non-Zendesk integrations on its own integrations page, including Intercom, Salesforce, Freshworks and Gorgias. Sierra is an enterprise agent platform with no published price that names no helpdesk vendor publicly. Choose Forethought to add AI to a support queue you already own. Choose Sierra when outbound voice and cross-system work decide it, on an enterprise budget.
Forethought's pricing page lists three tiers and no rate on any of them, and Vendr's procurement records show a median contract of $74,483 a year across 69 purchases. Sierra has no pricing page for you to read, and no procurement dataset publishes an observed median or ACV for its contracts. Forethought suits a support team adding AI to a helpdesk it already runs, and Sierra suits an enterprise buying outbound voice and cross-system actions on a six-figure budget.
Each one asks for a different amount of work from you before it answers a ticket.
Full disclosure. I co-founded My AskAI, and we sell an AI agent that competes with both products below. Neither of them is ours.
We help 200+ ecommerce and SaaS businesses run AI support inside the helpdesk they already have. Our agents have resolved over a million tickets between them.
Forethought vs Sierra AI at a glance
Forethought | Sierra AI | |
What it is | Multi-agent support platform, Zendesk-owned | Enterprise agent platform above your systems |
Headline price | No rate published; $74,483 median contract (Vendr, Feb 2026) | Nothing published anywhere |
How you buy it | Sales-gated, via Zendesk Sales, annual only | Sales-gated, no self-serve route, no published rate |
Best for | AI inside a helpdesk you already run | Voice and cross-system actions at enterprise scale |
Not a fit for | Teams under 20,000 historical tickets | Teams that need a price before a sales call |
Biggest limitation | Copilot is a Chrome extension, not in-inbox | Names no helpdesk vendor publicly, no connector directory |
Scorecard | 4 category wins of 11, 3 tied | 4 category wins of 11, 3 tied |
How are Forethought and Sierra AI different from their old 'AI bots'?
TL;DR: Both replaced scripted decision trees with agents that reason and act. They sit at different layers. Forethought is a support-AI platform that plugs into the helpdesk you already run. Sierra is an agent platform that sits above your systems and calls into them.
Forethought was founded in 2017 by Deon Nicholas and Sami Ghoche. Its answer to the decision tree is patent-pending Autoflows, where you write business logic in plain English (the kind of sentence you'd say to a new hire).
The product set on the homepage today is five named agents: Discover, Solve, Triage, QA and the Agentic AI Copilot. QA has been promoted from an add-on to an agent in its own right, and Assist is now the Copilot (older write-ups use the old names). The page leads with a line about a new chapter beginning, because the acquisition by Zendesk was announced on 11 March 2026 and closed on the 26th.
Sierra was founded in February 2023 by Bret Taylor and Clay Bavor, and launched its product a year later. Its core is Agent OS, and Sierra says it is not a helpdesk. I believe them.
It sits above your existing systems and relies on them for ticketing and the inbox. TechCrunch reported in May 2026 that a funding round pushed its post-money valuation above $15 billion.
Forethought installs into your support tool. Sierra treats it as one of the systems it calls. That gap is where I start an evaluation.
Both products review well on G2, and the scores on the doors are close:
Forethought | Sierra AI | |
Rating | 4.3 / 5 | 4.4 / 5 |
Reviews page |
One Forethought reviewer describes the change in the product itself. Bojan S., a Community Engagement Specialist at an enterprise account who uses it daily, wrote on G2 that Forethought:
"has recently evolved from a chatbot provider into a comprehensive multi-agent, omnichannel AI platform"
"the shift from simple automation to proactive, agentic AI that acts on behalf of customers via voice, email and chat."
One Sierra reviewer picked out the control layer:
"What I like best about Sierra is its strong focus on safe, supervised AI agents that can take real business actions while protecting brand integrity, and the founding team pedigree." — a verified user in accounting, on G2
How does an AI customer service agent work inside a helpdesk versus above one?
TL;DR: Forethought trains per-customer models on your ticket history and answers inside your existing helpdesk. Sierra runs as a layer above your systems, integrates by bespoke API, and orchestrates across channels it owns end to end.
Forethought runs SupportGPT. It trains a separate model for each customer, on that customer's own tickets, rather than pointing everyone at one shared model. When a question arrives it finds the right article first and writes the answer from it, so your own content decides what the customer is told.
It all runs on Amazon's cloud, and a repeat question comes back in a fraction of a second. Personal, health and payment details are stripped out before the model sees them (worth confirming that switch is on in your own account). Forethought has also published its agent framework, AutoChain, for anyone to use.
Sierra runs what it calls a Constellation of Models, with 15+ frontier, open-weight and proprietary models behind every agent. Providers include OpenAI, Anthropic, Meta and Google.
It picks per job: a fast one to look something up, a careful one to sort the request, one that can hold a long policy document in view, and a gentler one when the customer is upset. Supervising agents keep all of them inside your policy, and if one provider goes down the platform switches to another on its own.
In a demo, ask what the customer sees while that switch happens. I have yet to hear a clean answer to it.
Neither product is one model. The question that separates them is what the answers are grounded in.
Our own AI resolution rate benchmark study covers 195 rated deployments across 38 vendors. The median resolution rate across them is 70%.
I use that number with the study's own caveats attached. It is an aggregate, and a directional one, because no two vendors measure the same event and vendors only publish their wins.
The labels split the numbers. Deployments labeled "resolution" sit around 72.5%, and deployments labeled "automation" sit around 61%.
How can I use each agent: customer-facing, copilot, or voice?
TL;DR: Both run a customer-facing agent and an agent-facing copilot. Sierra's voice goes outbound and can navigate other companies' IVR menus. Forethought's voice is inbound, and its copilot comes as a browser extension.
Channel / mode | Forethought | Sierra AI |
Chat | ✅ Team and up | ✅ |
Email | ✅ Professional and up | ✅ |
Voice, inbound | ✅ Professional and up | ✅ |
Voice, outbound | ❌ | ✅ |
Navigating a third party's IVR tree | ❌ | ✅ (Aug 2026) |
SMS | ✅ | ✅ |
WhatsApp | ✅ via Sunshine Conversations | ✅ native |
Apple Business Chat | ❌ | ✅ |
Slack | ✅ Professional and up | ❌ not published |
Mobile | ✅ Team and up | ✅ web and mobile chat |
Publish to ChatGPT | ❌ | ✅ one-click |
Headless / API | ✅ Solve API, Enterprise only | ✅ Agent SDK |
Agent-facing copilot | ✅ Chrome extension | ✅ Live Assist |
Channel switch mid-conversation | — not documented | ❌ not supported |
Direct replies
Forethought's Solve Agent answers across chat, email, voice, SMS, Slack, mobile and a headless API. The gating decides your real price.
Team gets chat and mobile (if email is your main channel, Team is not your tier). Email, voice and Slack start at Professional. The Solve API is Enterprise only.
Sierra's channel list covers chat, voice, email, SMS, WhatsApp, Apple Business Chat and one-click publishing into ChatGPT. One documented limit: a Sierra agent does not switch channel mid-conversation. A voice call cannot become a WhatsApp thread inside the same interaction (worth raising early if your customers hop channels).
Copilot replies
Forethought's Agentic AI Copilot, previously Assist, is a Chrome browser extension that overlays your helpdesk. The rollout is an IT-managed browser extension on every desk, which a 200-agent team should scope early. Forethought also added Browser Agents in October 2025, which take action in browser-based systems that expose no API.
Sierra's equivalent is Live Assist, a human copilot inside the platform with real-time guidance, drafted responses and one-click actions.
Voice
Forethought launched Voice AI in March 2025 with Cartesia, running the same Autoflows engine as chat and email. It is inbound.
Sierra goes both ways, and in August 2026 it added a capability I rate highly. Its agents can now navigate other companies' IVR trees, which is what happens when your agent has to call a carrier or a bank on the customer's behalf. Sierra measured the difference: with the feature on, the overall pass rate rose from 57% to 85%.
Buyers are not universally sold on autonomous voice. One practitioner put it this way on r/business:
"AI can be an ungraded FAQ, but I wouldn't trust it yet for problem solving by itself."
Which is easier to set up: Forethought or Sierra AI?
TL;DR: Neither is self-serve. Forethought wants 20,000+ historical tickets and 30 to 90 days. Sierra runs a sales-led scoping process and a 90-day onboarding. Each one needs something different from you before it works.
Forethought has no self-serve signup. You get a demo, a scoping call and a dedicated implementation phase. Its own FAQ puts most teams fully set up within 30 to 90 days, and adds that "once implementation is complete, you'll be paired with a Customer Success Manager to support ongoing success."
The same page names the volume floor: "Forethought's AI performs effectively with a historical ticket data volume of 20,000+ and requires at least 2,000 email or chat tickets per month to operate smoothly."
Under that, you are outside the recommended operating range before the first call. A team doing 1,500 tickets a month does not clear it (I have sat through that conversation more than once). For basic chat, Forethought can start from help center articles alone, with reduced performance.
There is no free trial either. The pricing page answers the question directly: "Yes, we offer a Proof of Value (POV) instead of a traditional free trial."
Forethought's fastest published go-live is much quicker than 30 to 90 days. Grammarly reached 87% deflection with a 4.2 CSAT after roughly a week and a half.
Sierra is sales-led and CSM-guided: demo and discovery, then a scoped pilot, then a 90-day onboarding period with a dedicated support channel. You build in either Agent Studio, the no-code visual builder, or the Agent SDK (my rule: Studio for ops teams, the SDK for engineers). The SDK gives you declarative development, CI/CD and multi-agent orchestration.
Ghostwriter, released on Sierra's own date of 25 March 2026, builds a production-ready agent from SOPs, call transcripts, whiteboard photos, audio or a plain-English description.
Sierra's published go-lives are faster than the 90 days implies (take these with a grain of salt: they are the wins a vendor picks). Vivid Seats went live in four weeks, Next in six, and Singtel in under ten.
Reviewers still cluster their complaints on the learning curve:
"complex configuration challenging, often citing numerous bugs compared to competing products." — a verified user, on G2
Setup is a tie. Neither is self-serve.
Forethought's barrier is the 20,000+ historical tickets it recommends. Sierra's is a 90-day project that needs a named owner and a staffed team.
A third option covers the teams neither of those timelines suits (and if you are under 20,000 tickets, that is you). My AskAI is self-serve, goes live the same day, and trains on the help center you already have. It installs into Zendesk, Zendesk Messaging, Intercom, Freshchat, Freshdesk, Gorgias or HubSpot.
How do Forethought and Sierra AI differ in what they can be trained on?
TL;DR: Forethought names 70+ integrations on a public page you can read before you buy. Sierra claims 40+ pre-built integrations and names none of them.
Training source | Forethought | Sierra AI |
Help center and FAQ articles | ✅ | ✅ |
Historical tickets | ✅ 20,000+ recommended | ✅ support-call transcripts |
Macros and canned responses | ✅ | — not published |
Notion, Confluence, Guru | ✅ named publicly | — not enumerated |
Google Drive, SharePoint, S3 | ✅ named publicly | — not enumerated |
Shopify, Salesforce | ✅ both named | — no vendor named |
CRM, OMS, data warehouse | ✅ CRM data | ✅ via Horizon |
Audio, call recordings, photos | ❌ | ✅ via Ghostwriter |
MCP | ✅ connector listed | ✅ MCP Gateway |
Connector directory you can read before buying | ✅ | ❌ none published |
'Static' content
Forethought's static inputs are historical tickets, help center articles, past agent macros and canned responses, and CRM data. It pulls ahead, for me, because the catalog is public.
The integrations page names 18 knowledge and LMS systems, including Confluence, Notion, Guru, Document360, Glean and Stonly. It adds connectors for Airtable, Amazon S3, Google Drive, SharePoint, Shopify, Snowflake, WordPress and MCP.
Sierra ingests FAQs, policies, SOPs, call transcripts and audio through Ghostwriter (a photo of a whiteboard counts as a source). Expert Answers, added in January 2026, writes grounded articles from conversations the agent has already resolved.
'Dynamic' content
Forethought's Discover Agent analyzes tickets and help center content to find the questions the AI cannot answer. It then auto-generates articles and Autoflows to fill them. The custom Action Builder connects to any public API, so the agent can look up an order or process a refund (an internal system with no public endpoint stays out of reach).
Sierra's real-time layer is Horizon, its agent data platform. It reaches CRM records, order management, subscription platforms and data warehouses, and keeps agent memory across conversations (memory that survives between conversations is rarer than the category makes it sound). The Context Engine followed on 4 August 2026.
One Sierra claim has nothing behind it. Agent Studio's page says: "Leverage 40+ pre-built integrations to instantly connect your agent with third-party knowledge bases, systems of record, and contact centers." There is no connector directory behind it.
Sierra publishes no integrations page at all. It names no helpdesk anywhere on its website, Zendesk and Salesforce included. A buyer cannot check helpdesk coverage before signing.
For teams that want to see the list first, My AskAI trains on your help center and your historic tickets. It also reads Google Drive, Notion, Confluence, SharePoint, OneDrive, Dropbox, Salesforce and Shopify. It installs natively into Zendesk, Intercom, Freshchat, Freshdesk, Gorgias and HubSpot.
Which has better answer quality, Forethought or Sierra AI?
TL;DR: Neither number is comparable to the other. Forethought publishes a case-study spread from 60% to 87% under a headline ceiling of up to 98%. Sierra publishes per-customer figures and no average at all.
What each side actually publishes
Forethought's homepage carries a large stat: up to 98% resolution rate. I read those first two words as a ceiling. The figure comes from Forethought's own 2025 benchmark report, and the page renders it as one.
Six named case studies sit on Forethought's customers index. I read them one customer at a time, because no two of those support queues look alike.
Grammarly reports 87% deflection. YAZIO puts its number at 80%. Kickfin's is 72% self-serve.
YNAB moved from 25% with its previous chatbot to 70% deflection. ActiveCampaign reports 60%+ chat deflection, and Achievers 93% first contact resolution. The one to press a rep on is whichever of the six sits closest to your own ticket mix (the rest are somebody else's queue).
Five of those six report deflection or self-serve, and across those five the derived range is 60% to 87%. Achievers' 93% is first-contact resolution, a different metric, so it sits outside that band. That band is our arithmetic, and Forethought publishes no such range itself.
Sierra publishes per-customer figures only (no headline number for me to argue with). On its customers index, Sierra credits Funnel Leasing with handling 94% of inquiries on the first conversation. Ramp is credited with a 90% case resolution rate through automation.
Casper is scaling on a 74% resolution rate. AOL reached 64% case resolution, with most of its inquiries handled entirely by the AI agent. Airtable reports 80% and Wilson 77%.
The 64% to 94% envelope is our arithmetic.
My problem with both is the same. Neither publishes a figure you can compare with the other's.
Each vendor also counts a different event, which is the caveat on our benchmark median. Subtracting one from the other produces a number that means nothing.
Hallucinations and guardrails
Both vendors get asked about hallucinations in a POV. I get asked it on nearly every call too.
Forethought's controls are on the data-handling side. It paraphrases source content to reduce hallucination and verifies facts before responding. It also redacts PII, PHI and financial data by default, meaning customer names, health records and card or bank numbers are taken out automatically, which Forethought claims is a first in helpdesk AI.
The gap is in testing reach. Historical replay covers the Triage classifier and stops short of the answers a customer will see.
Sierra wraps its models in supervisory agents that enforce policy. It adds deterministic guardrails for critical business logic, masks PII, and filters off-limits topics (deterministic is the word I look for on refunds). Sierra frames agent safety as a "systems problem" with multi-layered defenses.
A practitioner put the buyer's version of the worry on r/startups:
"I've been tinkering with a RAG-based chatbot that gives answers from our internal help docs. It will give the correct answer 9 out of 10 times. Sometimes the answers are exceptionally good but every now and then it will hallucinate. Myself and my colleagues will know which answers are hallucinations but my external users (clients) will not."
Is Forethought or Sierra AI easier to improve?
TL;DR: Sierra now runs software-style release governance, with a linter, peer review and split-traffic rollouts. Forethought's loop is Discover finding missing knowledge and Agent QA scoring every interaction, with historical replay available for the classifier only.
Forethought's improvement loop is closed and automated (no human has to spot the gap first). Discover analyzes ticket data and help center content, finds the questions with no answer, then writes the article and the Autoflow to cover it.
Autoflows are natural language, so an iteration takes minutes. Agent QA scores 100% of interactions for empathy, grammar, relevance and resolution quality.
Every customer gets a dedicated CSM (built into the price, one way or another). Upwork reported a 27% increase in CSAT after replacing manual workflows with Autoflows.
Forethought does have historical simulation. Its own documentation covers a feature called Triage LLM Simulations, meaning a practice run of the AI model that reads a ticket and decides where it goes. It says you can "test your Triage LLM models using real historical ticket data" and see "how your model would perform before making it live".
That simulation covers Triage, the classification and routing model. It is capped at 1,000 tickets per run and visible only to Triage Admins (put all three in your POV plan).
Solve's customer-facing answers get a Preview pane, with no history replay behind it. Reviewers describe upkeep that never stops, having to:
The same reviews call CSAT analysis:
Sierra's answer, published on 20 August 2026, is release governance. Sierra describes it as the discipline that carried software teams from a few developers to thousands, applied to the agent development lifecycle.
Three controls came with it, and I ask to see all three demonstrated in a POV. Agent Checks is "a linter for your agent, surfacing warnings as you build based on your journeys and the conversations they generate."
Peer review is the second. Sierra says organizations "can now require peer review before any change releases, just as software teams require approval before a pull request lands."
Split traffic is the third. It lets teams "incrementally roll out a release to a portion of customer traffic before expanding it to everyone".
That sits on top of Explorer, which researches across past conversations, Experiments for testing variants against each other, and Monitors that watch for frustration and mood shifts. Voice Sims and Workspaces complete the set, with GitHub-style versioning, staging pipelines and instant rollback (rollback at that level is rare in this category).
Sierra's counterweight is who does the improving. It runs the delivery work itself.
Customers cannot edit logic or prompts themselves, and changes route through Sierra's team. Agent Studio 2.0 and Ghostwriter may be closing that, with little real-world validation so far. I don't know yet whether they close it.
Sierra takes this row on testing reach. Its staging, peer review and rollback cover the answers a customer sees.
Which has more features: Forethought or Sierra AI?
TL;DR: Forethought's breadth sits inside the support function: triage, QA, copilot, insights. Sierra's breadth runs across channels and systems: outbound voice, proactive campaigns, cross-system actions.
Feature | Forethought | Sierra AI |
Autonomous customer-facing agent | ✅ Solve | ✅ Agent OS |
Ticket classification and triage | ✅ Triage Agent | ❌ not a published product |
Automated QA scoring of interactions | ✅ 100% of interactions | ❌ not a published product |
Missing-article detection and generation | ✅ Discover Agent | ✅ Expert Answers |
Agent-facing copilot | ✅ Chrome extension | ✅ Live Assist |
Developer SDK with CI/CD | — Solve API, Enterprise only | ✅ Agent SDK plus GitHub Actions |
Outbound and proactive engagement | ❌ | ✅ Horizon campaigns |
Action-taking in systems without APIs | ✅ Browser Agents | — via bespoke integration |
MCP | ✅ connector and Headless | ✅ MCP Gateway |
Multi-brand | ✅ 2 or 20 by tier | — not published |
Feature list verifiable before you buy | ✅ | ❌ docs sit behind a login |
Triage and QA are Forethought's two strongest features here. Triage classifies sentiment, intent, urgency, spam, language and product type.
QA Agent scores every interaction against rubrics, with 1 rubric on Team, 5 on Professional and 20 on Enterprise. I count classification and QA in the same platform as Forethought's edge.
Sierra's deciding features reach past the support desk. Horizon, launched 16 July 2026, is described by Sierra as "the most significant expansion of Sierra since we launched in 2024", and it brings proactive campaigns that run over days or weeks.
The Agent SDK gives you CI/CD, GitHub Actions and multi-agent orchestration. Sierra has no equivalent to Forethought's Browser Agents.
Forethought's feature list is checkable before you buy: a public tier ladder with per-tier gating, a public integrations page, and a help center a human can read. Sierra's documentation sits behind a login.
The terms behind that wall are explicit. They say: "You may use the Sierra products and documentation we make available to you ("Sierra Products") solely to evaluate them, and Sierra retains all right, title and interest in and to the Sierra Products."
A second line adds: "All Sierra Products are confidential, and you will not use or disclose them other than to evaluate the Sierra Products."
A login wall keeps the pages out of search results. The confidentiality clause means an evaluator who does get in cannot repeat what they read.
How easy is it to customize Forethought and Sierra AI?
TL;DR: Forethought's Autoflows let an ops lead write business logic in plain English. Sierra gives you a developer SDK and, by several accounts, a dependency on Sierra's team for the changes that count.
Autoflows are Forethought's advantage on customization. Test them against your worst refund policy: you describe the policy in English, the agent follows it, and iteration is measured in minutes.
Guided response configuration lets an admin adjust tone, add context and steer how specific topics are handled. The custom Action Builder connects to any public API (public is the operative word, so check your internal systems).
The Workflow Builder needs intents trained before workflows can be created, an ordering constraint that surfaces on day one.
And Triage setup draws consistent reviewer criticism. Bojan S. on G2:
"Forethought Triage LLM Setup can be enhanced, and they can provide better training and support for it!"
The learning curve is the other note I see repeatedly. Another verified user in utilities, also on G2:
"Forethought typically has a higher than expected learning curve, making it a bit challenging to get ramped up and know exactly how to implement it best for specific use cases."
Lea R. wrote in April 2026, on the same page:
"We really like Forethought's flexibility to build highly customized workflows that suit our business needs. The initial setup was very easy, which we appreciated."
Sierra's Agent SDK gives you a dial for each workflow, from free conversation at one end to strict rule-following at the other (I like that the dial exists at all). Reviews keep returning to who actually holds those controls:
"does not allow for client customization as competitors." — a reviewer in mid-market entertainment, on G2
I always ask who turns the knobs. Sierra's controls are built for a developer, and reviewers say that developer is often Sierra's own.
What about vendor lock-in?
TL;DR: Forethought is owned by a helpdesk vendor and still lists 22 non-Zendesk integrations on its own integrations page, including Intercom, Salesforce, Freshworks and Gorgias. Sierra names no helpdesk vendor publicly, has no marketplace app, and integrates by bespoke API.
Forethought is a Zendesk-owned product sold by Zendesk's own sales organization. Zendesk's help center says: "Forethought AI agents by Zendesk is an AI-powered support platform that can operate independent of the Zendesk platform to help any team automate customer service, assist human agents, route tickets, and improve support quality."
You do not need to be a Zendesk customer to buy it, but you do buy it from Zendesk. The same article says: "Forethought plans are available for purchase for any customer. Contact Zendesk Sales." It calls the product "an independent suite of omnichannel AI tools designed for customer support teams, even those that do not use the Zendesk platform."
Descriptions of the old ownership are still in circulation, and I keep running into them. One buyer guide had Forethought as Salesforce-aligned five months after Zendesk closed the deal.
The integration list survived the acquisition. As of 25 August 2026, Forethought's integrations page still lists 22 non-Zendesk tiles under Helpdesks & CRM, a mix of helpdesks, CRMs and contact-center tools (Zendesk, its new owner, is the twenty-third tile): Comm100, Drift, Dynamics365, Freshchat, Freshworks, Front, Gainsight, Gladly, Gong, Gorgias, HaloCRM, Help Scout, HubSpot, Intercom, Jira, Kustomer, NICE, Salesforce, ServiceNow, Talkdesk, TeamSupport and Zammad.
The assurance that Forethought remains available to non-Zendesk customers appears in the 11 March announcement and has not been restated since.
The completion release says nothing about standalone availability or about packaging (worth asking Zendesk Sales to put standalone availability in the order form). Payment terms, separately, are annual only.
Sierra names no helpdesk vendor publicly, has no marketplace app, publishes no connector directory, and has no integrations page for a buyer to read. Its Agent Studio page does advertise 40+ pre-built integrations to third-party knowledge bases, systems of record and contact centers, but it names not one of them (the first thing I put to a Sierra rep).
Every system connection is bespoke API work. Sierra also holds bot-side conversation data while your contact center holds the human-side conversations. There is no unified view across the two (worth asking about in a demo).
With Sierra you would be rebuilding the integration work itself.
My AskAI installs into Zendesk, Intercom, Freshdesk, Freshchat, Gorgias and HubSpot, so a helpdesk migration does not mean re-implementing the agent, retraining it or rebuilding the integration.
Do they have any other AI features?
TL;DR: Forethought's extras work inside the support org: classification, routing, QA scoring, article generation. Sierra's extras reach customers directly: proactive campaigns, retention offers, outbound calls.
Tagging and triage
Forethought's Triage models cover sentiment, intent and spam on Team, then 6 models plus custom handoff models on Professional. Enterprise adds detection of missing knowledge and automatic Autoflow generation to cover it. Sierra publishes no ticket-classification product (it does not own a ticket queue in the first place).
Agent translation
Forethought's own materials give three different language counts. Its 2021 announcement claimed more than 100 languages. Its Solve chat widget documentation says 28 for automated translation.
A third-party listing says 45+. We are not going to pick one for them.
Multilingual moved down to the Team tier in the 2026 repackaging, so it is no longer a Professional upsell. The widget auto-detects language and can adjust mid-conversation. Solve Email needs multilingual enabled through your CSM, then languages selected in the Workflow Builder.
Sierra publishes 59 languages, with agents switching language mid-conversation in real time. Casper's VP of Operations, Marc Butakis: "With the AI agent, we effectively have 24/7 availability and engage in any language".
Analytics and quality
Forethought's QA Agent scores every interaction, Discover has an insights dashboard with downloadable reports, and an Analytics API is available as an add-on. Reviewers on G2 describe the dashboards themselves as "a bit messy", with limited reporting depth.
Sierra's outward-facing set is Horizon proactive engagement, retention campaigns with A/B results, Insights 2.0 and Monitors. Its partnerships with Plaid in August 2026 and SoftBank Corp in July read to me as distribution signals.
What about security, is Forethought more secure than Sierra AI?
TL;DR: Sierra publishes the wider certification set, including FedRAMP High and PCI DSS 4.0.1. Forethought's differentiator is data handling, with PII, PHI and financial redaction applied by default.
Forethought holds SOC 2 Type II and HIPAA, both audited annually, and complies with GDPR and CCPA. On ISO 27001 its own security page uses adherence language, never a certificate number or an auditor: the wording is that Forethought adheres to industry-leading standards such as ISO 27001, NIST CSF and NIST 800-53. I take that as alignment until Forethought publishes a certificate.
Forethought encrypts with AES-256 at rest and TLS in transit, and it runs RBAC, SSO and customer-specific data segmentation. It also does automatic redaction of PII, PHI and financial data by default, a real-time Trust Report with 24/7 audit-log access, and a bug bounty program.
Advanced security sits at Enterprise, and Forethought does not document what "advanced" adds over standard. Data residency options are undocumented too.
Sierra's trust portal lists ten certifications: ISO 27001:2022, ISO 42001:2023, SOC 2 with a Type II report named, HIPAA, PCI DSS 4.0.1, GDPR, CCPA, CSA STAR, the EU AI Act, and FedRAMP High. The FedRAMP High certification landed on 10 June 2026 with Knox Systems (ask which systems sit inside that boundary).
CSA STAR Level One is a self-assessment, and no external auditor signs it. The SOC 2 Type II report itself is access-gated, so only the title is public.
Sierra also publishes 14 subprocessors with per-subprocessor data residency, and states that its penetration testing is performed at least annually. I ask for the most recent pen-test letter.
Sierra publishes ten certifications and almost nothing else a buyer can verify before a sales process.
Sierra publishes no security page, and its product documentation sits behind a login. Forethought's trust report is open to anyone, and so is its tier ladder, no sales call needed.
Sierra takes this row on breadth alone.
Which costs more, Forethought or Sierra AI?
TL;DR: Forethought publishes three tiers, a stated pricing model and no dollar figure, with procurement data putting the median annual contract at $74,483. Sierra publishes no pricing page at all, and no procurement dataset observes its contracts either.
The pricing model
Forethought's pricing page is a three-tier ladder: Team, Professional (marked most popular) and Enterprise. It states the model in one sentence: "Our pricing model is a blend of platform access fees and an outcome-based pricing cost."
Add-ons are down to three: Multibrand, Analytics API and Discover. Every CTA is "Get a Quote" or "Request a Demo". There is not one dollar figure on the page.
Forethought's co-founder described the model on LinkedIn well before the Zendesk deal, charging primarily against resolutions alongside a base platform fee. No rate has ever been published.
Forethought markets an outcome meter, publishes no rate for an outcome, no definition of what qualifies as one, and no method for verifying the count. I'd want all three of those answers in writing before signing.
The only observed buyer data reports a per-conversation unit. Reconciling the meter it sells with the meter it bills is the audit to run before you sign.
Sierra's model, per Sacra, is a blend of two meters. Sacra describes it: "The company works with clients to determine the optimal pricing blend, typically offering volume-based pricing for routine interactions and outcome-based pricing (pay-per-resolution) for more complex inquiries."
Neither vendor publishes enough for you to forecast your own usage against either meter.
The overall cost
For Forethought, Vendr is the only observed buyer data, and its page was last updated in February 2026, before the acquisition closed. Treat these as pre-close figures.
Metric | Observed value |
Median annual contract | $74,483 |
Average contract value | $74,482 |
Contract range | $35,670 to $151,400 |
Purchases in the sample | 69 |
Solve, observed unit | $0.50 to $2.00 per conversation |
Assist, observed unit | $50 to $150 per agent per month |
Voice AI, observed unit | $0.10 to $0.50 per minute, or $2 to $8 per call |
Vendr's own sentence on the sample: "Based on data from 69 purchases, with buyers saving 22% on average." Its stat tile puts the saving at 22.4% (near enough identical).
Solve's observed band is per conversation. The pricing page markets an outcome meter.
For Sierra there is nothing for me to model. It publishes no pricing page.
There is no price anywhere on the site, and no menu that leads to one. The homepage uses the word twice, inside one marketing sentence: "Ensure you only pay for the value Sierra delivers with outcome-based pricing."
G2's at-a-glance entry-level pricing cell for Sierra reads "No pricing available". Vendr carries no observed median or ACV for Sierra either, so even the procurement route is closed.
Two rates circulate for Sierra. I keep both out of budgets. A widely repeated ~$1.50 per resolution does not appear on the source page people cite for it, so treat it as an unsourced circulating figure.
And $0.99 per resolved outcome is Intercom Fin's published rate card, misattributed to Sierra by web-grounded AI answers.
The r/SaaS thread that figure comes from is about Fin. I hear the same worry about per-resolution pricing on my own calls, and a buyer in that thread wrote:
"However, I can see this $0.99 for each resolution being solved adding up very quickly."
"Did I just pay $1 for intercom to supply a link to an internal document ?"
Take a team doing 5,000 conversations a month.
Using Vendr's observed per-conversation band, a Forethought buyer can bound that at roughly $2,500 to $10,000 a month before platform fees. Test the top of that against the observed range of $35,670 to $151,400 a year. A negotiated quote lands nearer the bottom of that range.
A Sierra buyer can compute nothing at all, because no public source supplies a unit, a floor or an observed median.
Both vendors are sales-gated (no surprise at this end of the market). Vendr's observed band still gives a Forethought buyer something to model.
My AskAI charges per ticket. Pro is $199/mo with 1,000 credits and $0.12 per credit after, Scale is $499/mo with 2,000 credits and $0.10 per credit, and Enterprise starts at $999/mo.
That works out at roughly $0.10 for a typical chat ticket and $0.15 for email. You can test it first, on a 30-day free trial with all features unlocked, unlimited tickets and no card (yes, even the helpdesk integrations). At the low end of a hard-negotiated Forethought contract, a very large deployment can beat that per resolved ticket, so run your own volume through both.
Conclusion - should I choose Forethought or Sierra AI?
TL;DR: Forethought if you want AI inside a helpdesk you already run and a price ladder you can read before a sales call. Sierra if voice and cross-system actions are the job, the estate is large, and a six-figure year one already fits.
The decision turns on which buyer you are: a support org adding AI to a queue it already owns, or an enterprise wiring an agent across a dozen backend systems and a phone line. Settle that before the demos start.
The eleven categories are modes, ease of setup, training and integrations, answer quality, improving, features, price, customization, lock-in, other AI features and security. Evidence comes from vendor documentation, published pricing pages, dated product captures and G2 reviews (Vendr's procurement records are the only observed contract data on either side). Where a vendor publishes no rate, the price row scores the absence.
(scores out of 10) | Forethought | Sierra AI | |
Modes | 6/10 | 9/10 | Sierra win |
Ease of setup | 5/10 | 5/10 | Tie |
Training/Integrations | 8/10 | 6/10 | Forethought win |
Answer quality | 7/10 | 7/10 | Tie |
Improving | 7/10 | 9/10 | Sierra win |
Features | 7/10 | 8/10 | Sierra win |
Price | 6/10 | 3/10 | Forethought win |
Customization | 7/10 | 5/10 | Forethought win |
Lock-in | 7/10 | 5/10 | Forethought win |
Other AI features | 7/10 | 7/10 | Tie |
Security | 7/10 | 8/10 | Sierra win |
Four rows each, three level. Forethought takes integrations, price, customization and lock-in, all four checkable before signing. Sierra takes channels, improvement tooling, feature reach and certifications.
Let the split decide it. Forethought gives a procurement review more to read, and Sierra earns its place once the evaluation is a 90-day pilot with an enterprise budget behind it.
Choose Forethought if:
- You already run one of the 22 non-Zendesk tools on its integrations page and want AI inside it
- You have 20,000+ historical tickets for it to learn from
- You want ticket classification, routing and automated QA in the same platform as the agent
- You want to read a tier ladder and an integration list before you talk to sales
- You are a Zendesk customer and want the AI its owner is building into the Resolution Platform
Choose Sierra AI if:
- Voice is a primary channel, including outbound
- Agents must act across a large estate of backend systems no single helpdesk owns
- You need FedRAMP High or PCI DSS 4.0.1
- You want software-style release governance over every agent change
- You have the budget and the 90-day runway, and a named enterprise reference in your vertical counts for more than a published price
My AskAI is the third route. It installs into Zendesk, Intercom, Freshdesk, Freshchat, Gorgias and HubSpot, charges a flat rate per ticket, and goes live the same day you sign up.
Zendesk AI vs Sierra AI is the nearest neighbor to this comparison. Intercom Fin vs Forethought covers the other side. Each vendor also has an alternatives roundup: one for Forethought, one for Sierra AI.
FAQs
Can Forethought fully replace Sierra AI, or the other way round?
Only when the job is the same one (and it rarely is). Forethought sits inside the helpdesk you already run, with 22 named non-Zendesk integrations, and adds triage, routing and QA around the agent.
Sierra sits above your systems and owns the channel end to end (outbound voice included), which Forethought does not do.
Sierra has no product for AI inside an existing helpdesk with classification and QA attached. If neither is a match because you want a third-party agent inside an existing helpdesk at a flat per-ticket rate, My AskAI covers that case.
What can Forethought and Sierra AI be trained on?
Forethought trains on historical tickets, with 20,000+ recommended, plus help center articles, past macros and canned responses, and CRM data. Its public catalog covers 18 knowledge systems and connectors including Notion, Confluence, Google Drive, SharePoint, Shopify and MCP.
Sierra ingests FAQs, policies, SOPs, call transcripts, audio and whiteboard photos through Ghostwriter, and reaches live systems through Horizon. Forethought's list is public, for me the deciding point. Sierra's "40+ pre-built integrations" claim has no directory behind it.
How long does setup take, and do we need developers?
Forethought quotes 30 to 90 days on its own FAQ, with no self-serve signup and a recommended 20,000+ historical tickets. Sierra runs a 90-day onboarding after a sales-led scoping process, though published go-lives have landed in four to ten weeks.
Neither needs developers for the basic path. Forethought's Autoflows are written in English, and Sierra's Agent Studio is a no-code builder. Both need a project and a named owner (the named owner is the part that goes missing).
Is Forethought or Sierra cheaper for AI customer service?
Neither vendor publishes a rate, and only Forethought has observed contract data you can put a number against.
Forethought | Sierra AI | |
Pricing model | Platform access fee plus outcome-based cost | Blend of volume-based and outcome-based |
What is published | Three tiers, no dollar figures | Nothing at all; there is no pricing page |
Third-party observed cost | $74,483 median annual contract, $35,670 to $151,400 range (Vendr, Feb 2026) | No observed contract data at all; Vendr carries no median or range for Sierra |
Free trial | No; a Proof of Value instead | No |
At 5,000 conversations a month, Vendr's observed band of $0.50 to $2.00 per conversation bounds Forethought at roughly $2,500 to $10,000 a month before platform fees. The observed annual range suggests a negotiated quote lands nearer the bottom. For Sierra, no public source supplies a unit rate, a contract floor or an observed median, so the same calculation cannot be attempted.
Can they handle multilingual support and agent translations?
Sierra publishes 59 languages with mid-conversation switching (one number, one page). Forethought publishes three different counts.
A 2021 announcement claimed 100+, the Solve chat widget documentation gives 28, and a third-party listing gives 45+. Multilingual is included from the Team tier after the 2026 repackaging, and the Solve widget auto-detects language. Solve Email needs it enabled through your CSM first.
How do Forethought and Sierra AI compare on security and compliance?
Sierra publishes the broader set (ten certifications in its trust portal). Forethought's certifications are fewer, and its live trust report is reachable before a sales call.
Certification | Forethought | Sierra AI |
SOC 2 Type II | ✅ | ✅ report named in the trust portal |
HIPAA | ✅ | ✅ |
ISO 27001 | — aligns with | ✅ 27001:2022 |
ISO 42001 | ❌ | ✅ 42001:2023 |
PCI DSS 4.0.1 | ❌ | ✅ |
FedRAMP High | ❌ | ✅ June 2026 |
GDPR and CCPA | ✅ | ✅ |
CSA STAR | ❌ | ✅ Level One self-assessment |
Data residency published | — not documented | ✅ per subprocessor |
PII, PHI and financial redaction by default | ✅ | ✅ PII masking |
Does Sierra AI hallucinate on refunds and policy questions?
Sierra's architecture is built to stop exactly that. Supervisory agents enforce policy across the model constellation, deterministic guardrails cover critical business logic, and filters block off-limits topics. Since 20 August 2026 it has also had release governance: an Agent Checks linter that surfaces warnings as you build, required peer review before a change releases, and split-traffic rollout to a portion of customers first.
In December 2025, a coordinated jailbreak attempt hit more than a dozen customer agents. One retailer's agent answered off-scope topics because a guardrail was misconfigured.
None of that removes the work at your end, and configuration is where I have watched agents go wrong. In a POV, ask to see the guardrail configuration for refunds and policy. Then ask what Agent Checks flags on your journeys, and ask for the split-traffic plan for your first release.
Who owns Forethought?
Zendesk. The definitive agreement was announced on 11 March 2026 and the deal closed on 26 March, making it Zendesk's largest acquisition in nearly 20 years. Zendesk's own help center states that the product "can operate independent of the Zendesk platform" and that "Forethought plans are available for purchase for any customer. Contact Zendesk Sales." As of 25 August 2026, all 22 non-Zendesk integrations are still listed on Forethought's integrations page, alongside Zendesk's own.
