My AskAI vs Ada AI Agent: Pricing & Features (2026)

Created time

Jul 17, 2026 01:28 PM

Title length (<60)

Author

Mike Heap

Last optimised

Ecomm?

What AI can I use to reply to customer support tickets: My AskAI or Ada?

⚡

TL;DR: Both are autonomous AI agents that resolve tier-1 tickets. My AskAI installs inside your existing helpdesk (Zendesk, Intercom, HubSpot, Freshdesk, Gorgias); Ada is a standalone enterprise platform that sits above your helpdesk and contact center.

The two products solve the same headline problem: an AI agent that answers repetitive customer questions so your team doesn't have to. They're just built on opposite assumptions about who's buying.

My AskAI is an AI agent that lives inside your existing helpdesk. You install it from the marketplace of Zendesk, Intercom, HubSpot, Freshdesk or Gorgias, point it at your knowledge, and it starts drafting and sending replies on the tickets you already have. It isn't a helpdesk and never replaces one; it replaces the native AI inside your helpdesk (Fin, Zendesk AI, Freddy, Gorgias Automate, Breeze) at roughly $0.10 a ticket.

Ada (the subject of our full Ada guide) takes the other road. It's a standalone "agentic CX platform" that runs alongside your stack rather than inside it, connecting by API to Zendesk, Salesforce, Oracle Service Cloud, Genesys and NICE while your helpdesk keeps doing human-agent ticketing.

Ada is built for the enterprise, and its own sales page says so: it's "a great fit for companies with at least 300,000 annual customer service conversations." If that isn't you, Ada isn't really pitched at you. I'd read that as a deliberate choice on their part.

Both products review well on G2:

On G2	My AskAI	Ada
Rating	4.5/5	4.6/5
Reviews	21	~170
Reviews page	My AskAI reviews	Ada reviews

So the question I'd actually ask is which one fits the way your team works. That answer lands in a different place for a 300,000-conversation enterprise than it does for a mid-market team on Zendesk.

Video preview — The Best Helpdesk AI Agents of 2026 (Intercom Fin vs Zendesk AI vs HubSpot Breeze vs Gorgias AI)

How does an AI customer service agent work: My AskAI vs Ada?

⚡

TL;DR: Same core loop, ingest your knowledge, answer the customer, hand off to a human when needed. Ada layers a unified Reasoning Engine across voice, chat, email and social; My AskAI focuses that loop on the helpdesk ticket and teaches itself from your agents' replies.

Under the hood, both agents run the same basic loop. You connect knowledge, the agent reads an incoming question, answers what it can, and escalates what it can't to a human with a summary so nobody has to repeat themselves.

A quadrant plotting My AskAI and Ada on price transparency versus company scale. My AskAI sits bottom-right (mid-market, published pricing); Ada sits top-left (enterprise scale, sales-gated pricing).

Ada's version of that loop got a rebuild in February 2026 with its unified Reasoning Engine. You configure one "brain" once and deploy it across every channel, with one model handling the empathetic customer-facing turn while a second works the multi-step task in the background. It's a modern piece of architecture, and it's Ada's answer to the newer "agentic" platforms nipping at its heels.

My AskAI's loop is narrower on purpose. It sits on the ticket, answers inside your helpdesk's own chat, messaging or email channel, and then does the thing I care most about.

It reads what your human agents wrote after a handover and drafts new knowledge from it, which we call Self-Learning. The agent's resolution rate climbs week over week without anyone sitting down to retrain it.

What are the different ways I can use an AI agent in your helpdesk?

⚡

TL;DR: Both do direct customer replies and behind-the-scenes copilot drafting. My AskAI adds an internal-note mode for zero-risk testing; Ada adds voice, which My AskAI doesn't offer.

There's more than one way to put either agent to work, and the modes are where each side's personality shows.

Direct replies

The headline mode for both is the AI answering the customer directly, in chat, messaging or email. On My AskAI that happens inside your helpdesk's native channel; on Ada it happens through Ada's own layer across whichever channels you've connected.

Copilot replies

Both agents can also work behind the scenes, drafting a reply for a human agent to send, so a person still hits the button. My AskAI ships this as Copilot, plus a free Chrome Extension that puts the drafts in front of your agents inside their normal workflow, with no per-seat charge.

Internal note replies

This one is a My AskAI habit I'd point any nervous team to. Before you let the AI talk to a single customer, you can run it in Internal Notes mode: it drafts a reply on every ticket as an internal note the customer never sees.

You sit it side by side with whatever AI you're using today and grade it for a week before you flip it live. It's about as close to a no-risk trial of an AI agent as I've come across.

My AskAI: copilot in Intercom (left) and internal-note mode in Zendesk (right).

Voice

Here's the first place Ada clearly wins. Ada runs a second-generation voice AI for inbound phone calls, wired into contact-center platforms like NICE CXone, Genesys, Amazon Connect, Aircall and Twilio Flex. My AskAI is built for the messaging, chat and email channels your helpdesk routes, and voice isn't something we do, so if phone is a real part of your support load that's a genuine reason to look at Ada.

Which is easier to setup, Ada or My AskAI?

⚡

TL;DR: My AskAI, clearly. You sign up yourself and go live in minutes to a day. Ada is sales-led with an 8-16 week professional-services implementation and no self-serve path.

This is the widest gap between the two, and it's baked into their business models more than their engineering.

With My AskAI you sign up, install the app in your helpdesk, connect your help center and any other knowledge, and you're drafting replies in about 10-15 minutes. Teams switching from Fin or Zendesk AI are usually fully live in under a day (yes, even the ones who assumed it would eat a sprint). There's no sales call in the way, and the 30-day trial means you do all of this before you've spoken to us or paid anything.

Ada is the opposite by design. There's no free trial, no public signup, and no way to start without a sales conversation: you book a demo, go through discovery, get a quote, sign a contract, and then Ada's professional-services team runs the implementation.

Independent reviews put that implementation at 8-16 weeks for a full enterprise deployment, longer if you're wiring in voice and multiple back-end systems. None of that is a knock on the product; it's what enterprise software costs to stand up, and their Playbooks are powerful once designed. I just wouldn't call it a same-week decision.

How do My AskAI and Ada differ in what they can be trained on?

⚡

TL;DR: My AskAI ingests the modern knowledge stack natively, including Notion, Google Drive, Confluence, SharePoint, Slack and past tickets. Ada learns mainly from formal help centers and structured knowledge bases, and doesn't natively connect Notion, Confluence or Drive.

An AI agent is only as good as what it knows, so in my view where each side pulls knowledge from matters more than almost anything else.

'Static' content

My AskAI connects natively to the places modern teams actually keep their knowledge: Google Drive, Notion, Confluence, SharePoint, OneDrive, Dropbox, plus your Zendesk, Intercom or Freshdesk help center (including behind-login articles), website sync, and direct document upload.

The knowledge page in the My AskAI dashboard.

Ada leans toward formal, structured sources. Its integrations page lists knowledge tools like Guru, Helpjuice, Paligo, Contentful and ServiceNow Knowledge, but it doesn't list native Notion, Confluence, Google Drive or SharePoint connectors. If your runbooks live in Notion or your policies sit in Google Docs, that's content Ada can't natively ingest without custom work.

To me, that's one of the clearer day-to-day differences between the two products.

'Dynamic' content

For live, per-customer data ("where's my order", "what plan am I on"), My AskAI connects to your backend through its User Data API and takes actions through Tasks and Tools, with a pre-built Shopify connector for commerce lookups. It can also train on your last 5,000 historic tickets by default, more on request, which is how a team with a thin help center gets a useful agent from day one.

Ada's strength here is breadth of enterprise systems. It connects to more helpdesks than we do (Zendesk, Salesforce, Oracle, Freshworks, Kustomer, Gladly, Help Scout, Gorgias and Dixa), plus CRMs and contact-center platforms. What it doesn't offer is a published way to dry-run the agent against thousands of your past tickets before launch, which My AskAI's historic-ticket training gives you.

Here's the same thing as a table:

Can be trained on	My AskAI	Ada
Help center / knowledge base	✅	✅
Past tickets (simulation before launch)	✅	—
Notion	✅	—
Confluence	✅	—
Google Drive / Docs	✅	—
SharePoint / OneDrive	✅	—
Structured KB (Guru, Helpjuice, Paligo)	—	✅
Contact-center / telephony systems	—	✅

Which has better answer quality, Ada or My AskAI?

⚡

TL;DR: Roughly a wash. Both land in the 60-80% resolution band on published numbers, and answer quality from a clean knowledge base is close enough that it won't be your deciding factor.

This is the category where the straight answer is "they're similar," and I'd be suspicious of anyone who told you otherwise.

Ada's published case studies cluster resolution rates between 45% and 84%, with most enterprise customers landing in the 60-80% band. My AskAI runs around 72% resolution on a rolling basis across our customer base.

For context, the field median for AI resolution sits near 70%, so both products are performing where you'd expect a good agent to perform. In my experience the number moves far more with the quality of your knowledge and the mix of your tickets than with the logo on the agent.

So don't pick between these two on a resolution percentage in a marketing deck. Pick on everything else in this post, because on raw answer quality from a well-fed knowledge base you'll get a good result from either.

Which AI agent is easier to improve over time: Ada or My AskAI?

⚡

TL;DR: Ada has the deeper explicit tuning toolkit (Coaching, Playbooks and knowledge review), so it takes this one. My AskAI improves more automatically, from your agents' own replies.

I'll give Ada this category, and I think it's a fair win.

Ada has built serious tooling for teams that want to actively tune the agent. Coaching lets reviewers leave granular feedback on past conversations that the agent learns from, Playbooks encode the exact steps the agent should follow for a given process, and the Reasoning Engine is designed to keep improving on longer, multi-step tasks. If you have a dedicated CX-automation owner who wants to get their hands into the machine, Ada gives them a lot to work with.

My AskAI's bet is different. Most teams don't have that person, so we lean on automation: Self-Learning drafts new knowledge every week by comparing the agent's answer to what your human sent.

And when you want to know why the agent said something, you just ask Echo, the in-dashboard assistant that tells you which knowledge source a reply came from and helps you fix it. It's less of a control surface than Ada's, and for a team without a full-time automation specialist that's usually the point, but if hands-on tuning depth is what you're after, Ada leads here.

Which has more features, Ada or My AskAI?

⚡

TL;DR: Ada has the broader feature set today, including voice, native social channels, Playbooks and contact-center routing. My AskAI covers the support-specific features most mid-market teams actually reach for.

On raw surface area, Ada is the bigger product. I'll grant it that, since it's a decade old and built for enterprise breadth.

Ada covers voice, native social channels (WhatsApp, Instagram, SMS, Messenger), Playbooks for SOP-driven workflows, and deep contact-center routing. That's a lot of ground, and if your support spans phone and every social inbox, Ada reaches places My AskAI doesn't.

My AskAI's feature set is narrower and more support-specific. It covers Internal Notes mode, Tasks and Tools for agentic workflows like refunds and cancellations (which you can run fully autonomously or set to propose-then-approve, your call), Guidance for controlling tone and escalation, Multibrand, live agent translation, and image reading. My AskAI does answer social messages too, through whatever your helpdesk routes to it (a Gorgias or Zendesk Instagram conversation, say).

It just isn't a native social platform of its own, the way Ada is.

Feature	My AskAI	Ada
Direct replies	✅	✅
Copilot / internal-note drafting	✅	✅
Voice / phone	—	✅
Native social channels (WhatsApp, Instagram, SMS)	Via helpdesk routing	✅
Train on past tickets	✅	—
Notion / Drive / Confluence ingestion	✅	—
Historic-ticket simulation before launch	✅	—
Live agent translation	✅	✅
Playbooks / SOP workflows	Via Tasks & Tools	✅
Contact-center routing	—	✅

Is it easy to customize My AskAI and Ada?

⚡

TL;DR: My AskAI gives you self-serve knobs on tone, persona and rules you can change yourself in minutes. Ada's builder is powerful but changes often route through its customer-success team.

Customization is where My AskAI's self-serve DNA shows up again.

With My AskAI, the controls are yours to turn. Guidance lets you write plain-language rules for tone, terminology and when to hand off, and Custom Answers let you pin exact wording for the answers that have to be exact. You can change any of it yourself in a couple of minutes, and Echo will even write and merge the Guidance for you if you'd rather ask than click.

Ada's no-code builder and Playbooks are capable. The recurring note from reviewers, though, is that meaningful changes usually go through Ada's customer-success team. For a large enterprise with a managed relationship that's often fine, even preferred; for a mid-market team that wants to tweak a handover rule on a Tuesday afternoon without opening a ticket, it's friction.

What about vendor lock-in?

⚡

TL;DR: My AskAI runs inside whichever helpdesk you already use and moves with you if you switch. Ada is a standalone platform that requires a separate helpdesk underneath it, so it's a second system to unpick if you leave.

Lock-in is the quiet cost nobody adds up in the demo.

Because My AskAI lives inside Zendesk, Intercom, HubSpot, Freshdesk or Gorgias, you keep your existing stack, agents, macros, tags and routing. And if you ever change helpdesk, the trained agent (your custom answers, guidance and tasks) moves across to the new one, so you're not rebuilding from scratch.

Ada is a standalone platform that sits above a helpdesk it doesn't provide, so it always assumes you're running (and paying for) a separate ticketing or contact-center tool underneath. That's a reasonable model at enterprise scale. It does mean Ada is a second platform to rip out and reimplement if you ever move on, on top of the helpdesk migration itself.

Does Ada or My AskAI have any other AI features?

⚡

TL;DR: Both auto-tag tickets and handle multiple languages. Ada adds sentiment and voice analytics plus native social; My AskAI adds live agent translation. Ada has the broader spread.

Beyond the core agent, both products carry a grab-bag of extra AI, and Ada's is wider.

Tagging

Both can classify tickets automatically. My AskAI's AI Tagging works natively inside Zendesk, Intercom and Freshdesk (and Freshchat), reading the incoming message and sorting it against your existing tags. Because tagging is billed separately at $0.05 per tag, you can even use it to route a class of tickets to a human without paying the full conversation cost.

Agent translation and languages

My AskAI supports 95 languages auto-detected per message, plus a live-translation feature that lets an agent read and reply to a customer in a language they don't speak. Ada handles multilingual support across its channels through the Reasoning Engine too, so this one's a genuine tie.

My AskAI translating a customer message in Intercom.

Sentiment and voice analytics

Here's where Ada's extra surface area shows. It layers sentiment and CSAT signals and voice analytics on top of its channels, which fits its contact-center customers, and combined with native social that breadth is why Ada takes this category.

What about security, is Ada more secure than My AskAI?

⚡

TL;DR: Ada holds the broader compliance grid (SOC 2 Type II, SOC 3, HIPAA, PCI and AIUC-1). My AskAI holds SOC 2 Type II and GDPR, which covers most B2B SaaS and ecommerce buyers. If you need HIPAA or PCI, Ada wins this outright.

This is Ada's second clear win, and if you're in a regulated industry it might be the only category that matters.

Ada runs a full public trust center with a broad, downloadable grid: SOC 2 Type II and SOC 3, HIPAA, a PCI attestation, and AIUC-1 (the AI-specific standard Ada was first to earn), alongside GDPR, with downloadable penetration-test reports. It's the compliance profile of a company that sells to banks, telecoms and healthcare-adjacent enterprises, and it shows. The one notable gap is ISO 27001 / ISO 42001, which Ada doesn't hold, having bet on AIUC-1 instead.

My AskAI holds SOC 2 Type II and GDPR, with AES-256 encryption at rest, TLS in transit, isolated data per customer, and a promise that your data is never used to train models. The full report and DPA are on My AskAI's trust report under NDA. For most B2B SaaS and ecommerce teams that's the exact bar their security review is checking for, but if your buyer's checklist has HIPAA or PCI on it, Ada carries certifications we don't, and that's the fair comparative point on this axis.

Which costs more, Ada or My AskAI?

⚡

TL;DR: My AskAI publishes ~$0.10/ticket you can read and start today. Ada publishes no price at all, requires a 300,000-conversation-a-year minimum, and negotiates a volume-based contract (independent data puts the median around $73,500/year) with no trial to measure your volume first.

Pricing is where the two philosophies collide hardest, so it's worth being precise.

The pricing model

My AskAI is per-ticket and public. You pay roughly $0.10 a ticket (every two AI replies is one credit), the plans are on the pricing page at Pro $199/mo, Scale $499/mo and Enterprise from $999/mo, and the bill stays flat as the AI gets better. You pay when the AI works, and the bill holds steady as its success rate climbs.

Ada is conversation-based and private. Its pricing page is a sales-consultation form, and the one hard fact on it is the qualifier that Ada is "a great fit for companies with at least 300,000 annual customer service conversations." Fun fact: Ada argues in its own blog for conversation-based pricing over per-resolution, yet it publishes no rate, no tiers, and no billing-time definition of what a "conversation" is. You find all three out inside a sales negotiation.

Ada's pricing page (a sales-consultation form)

The overall cost

Because Ada doesn't publish numbers, the most reliable figures come from independent procurement data. Vendr records a median Ada contract of about $73,500 a year across 112 purchases, ranging from roughly $36,000 to over $318,000. Since Ada bills per conversation handled rather than per conversation resolved, that cost doesn't rise as your resolution rate climbs, but it also isn't a number you can check before you're deep in a sales process.

My AskAI's math is on the page. A team doing 10,000 tickets a month at a 75% resolution rate lands around $1,299/mo on Scale, and you can model your own volume before you talk to us because the rate is public.

The sharper point sits at the bottom of the market: at 10,000 tickets a month you're well below Ada's 300,000-conversation-a-year floor, so Ada won't quote you at all. My AskAI will serve you at 1,000 tickets or 100,000, and you'll always know the price.

And you don't have to take my word for any of it. My AskAI's 30-day free trial unlocks every feature with unlimited tickets and no card, so you connect your helpdesk, run the agent against your real tickets, and see your own resolution rate and cost before you commit. Ada has no trial and no self-serve tier, so with Ada the first time you see it work on your data is after you've signed.

Conclusion - should I choose Ada or My AskAI?

⚡

TL;DR: My AskAI wins overall for mid-market teams that want transparent pricing, fast self-serve setup and helpdesk-native deployment. Ada wins for 300,000+-conversation enterprises that need voice, omnichannel and the deepest compliance grid.

Let's tally the categories.

Four key figures comparing My AskAI and Ada: My AskAI is $0.10 per ticket with a published price, Ada requires a 300,000-conversation-a-year minimum, My AskAI is live in about a day versus Ada's 8 to 16 weeks, and My AskAI offers a 30-day free trial while Ada offers none.

ㅤ	My AskAI	Ada	ㅤ
Modes	8/10	8/10	Tie
Ease of setup	9/10	5/10	My AskAI
Training/Integrations	8/10	7/10	My AskAI
Answer Quality	8/10	8/10	Tie
Improving	7/10	8/10	Ada
Features	7/10	9/10	Ada
Price	9/10	4/10	My AskAI
Customization	8/10	7/10	My AskAI
Lock-in	8/10	5/10	My AskAI
Other AI features	7/10	8/10	Ada
Security	7/10	9/10	Ada

Read the scorecard and the split is clear. My AskAI wins five of the eleven categories: ease of setup, the knowledge sources you can train on, price, customization and lock-in. It ties two more, modes and answer quality.

Ada earns its four wins where it's clearly stronger, in improvement tooling, raw feature breadth, the extra AI surface, and compliance. This isn't a clean sweep, and I wouldn't want it to be, because these products aren't really fighting over the same customer.

Choose Ada if:

You're handling 300,000+ conversations a year and want an enterprise platform built for that scale.

You need voice or phone AI, or true omnichannel across WhatsApp, Instagram, SMS and Messenger.

Your security review requires HIPAA, PCI or AIUC-1.

You already run Salesforce, Oracle, Genesys or NICE and want deep contact-center routing.

You're happy with a managed, professional-services-led rollout and price isn't the deciding factor.

But if you want transparent per-ticket pricing you can read today, you want to be live inside the helpdesk you already run this week, you keep your knowledge in Notion or Google Drive, and you'd like to prove it against your own tickets on a free trial before paying anyone, that's My AskAI, and it's who we built it for.

If Ada's enterprise weight is more than you need, it's worth seeing the wider field of Ada alternatives. And if you're weighing the mid-market AI agents against each other, our My AskAI vs Intercom Fin comparison covers the other end of this decision.

FAQs

Can My AskAI fully replace Ada for AI customer support?

For the tier-1 job Ada does inside a mid-market team, reading tickets, answering the repetitive ones and escalating the rest, yes, My AskAI does that inside your existing helpdesk at a published per-ticket rate. Where My AskAI doesn't replace Ada is at the top end, since voice, native omnichannel and contact-center routing at 300,000+ conversations a year are Ada's territory, well outside what we sell.

What can My AskAI and Ada each be trained on?

My AskAI natively ingests Notion, Google Drive, Confluence, SharePoint, Dropbox, your help center and your last 5,000 past tickets. Ada learns mainly from formal help centers and structured knowledge bases (Guru, Helpjuice, Paligo, Contentful, ServiceNow) and doesn't natively connect Notion, Confluence or Drive.

Source	My AskAI	Ada
Help center	✅	✅
Past tickets	✅	—
Notion / Confluence / Drive	✅	—
Structured KB (Guru, Helpjuice)	—	✅

How long does setup take, and do we need developers?

My AskAI is about 10-15 minutes to install and connect, with no developer needed for a standard setup, and most teams are fully live within a day. Ada is a sales-led, professional-services implementation that independent reviews put at 8-16 weeks.

How do My AskAI and Ada pricing models compare?

My AskAI is per-ticket at ~$0.10, published on the pricing page, and flat as the AI improves. Ada is conversation-based with no public price and a 300,000-conversation-a-year minimum; independent procurement data (Vendr) puts the median contract near $73,500/year.

ㅤ	My AskAI	Ada
Model	Per ticket	Per conversation
Headline rate	~$0.10/ticket (public)	Not published
Minimum	None	~300,000 conversations/year
Free trial	30 days, all features	None

Can they handle multilingual support and agent translations?

Both do. My AskAI auto-detects 95 languages per message and adds live agent translation so a human can reply in a language they don't speak. Ada handles multilingual support across its channels through its Reasoning Engine.

How do My AskAI and Ada compare on security and compliance?

Ada holds the broader grid: SOC 2 Type II, SOC 3, HIPAA, PCI and AIUC-1, via a full public trust center. My AskAI holds SOC 2 Type II and GDPR, which meets most B2B SaaS and ecommerce security reviews. If your checklist requires HIPAA or PCI, Ada carries certifications My AskAI doesn't.

Will I be locked in to one helpdesk?

With My AskAI, no. It runs inside Zendesk, Intercom, HubSpot, Freshdesk or Gorgias, and the trained agent moves across if you switch. Ada is a standalone platform that sits above a separate helpdesk, so it's an extra system to reimplement if you migrate.

Does each one offer a free trial?

My AskAI does: 30 days, all features unlocked, unlimited tickets, no credit card. Ada doesn't offer a trial or a self-serve tier, so evaluation happens through a sales process.

My AskAI vs Ada AI agent: Features, Pricing, and Results (2026)

What AI can I use to reply to customer support tickets: My AskAI or Ada?

How does an AI customer service agent work: My AskAI vs Ada?