How Much Does Ada Cost in 2026? Ada AI Pricing From Its Own Listings

Ada costs at least $30,000 a year at its own published price on Salesforce AgentExchange, while the median company that buys it pays $72,000 a year according to Vendr's procurement data. Ada puts no price on ada.cx. The only per-conversation price it publishes is on AWS Marketplace, where its travel and hospitality listing charges $0.55 a conversation on a 12-month contract, read October 13, 2026. The $30,000 floor, the $0.55 rate and the $72,000 median are the anchors to budget from.

How much does Ada cost in 2026?

Every figure below was re-read on October 13, 2026 unless the last column says otherwise, and earlier readings are kept so you can see what moved. Five rows are Ada's own marketplace listings (one now gone, one now quote-only), one is procurement data, one is a review directory, and two are places where Ada declines to show a price. None of them is a rate card on ada.cx, because Ada does not publish one there.

Ada's own published floor is $30,000 a year, its one published rate is $0.55 a conversation, and the median company that actually buys it pays about $72,000. If someone quotes you materially below $30,000, they are quoting something Ada has not published for general sale (the $13,500 Azure plan was made for one named customer).

Which Ada does this pricing apply to?

"Ada pricing" is one of the most overloaded queries in software. When we pulled the live US results on September 22, 2026, Google's AI Overview for it answered with the price of Cardano, and three of the four People Also Ask questions were about the coin. This page is about Ada the customer service company at ada.cx, and not the ADA cryptocurrency, not the Ada programming language, not Ada Lovelace, and not the Americans with Disabilities Act. From here on, "Ada" means the CX platform.

Where does Ada publish its prices?

One AWS Marketplace listing no longer shows a price. When we rechecked "Ada AI Agent" on September 25, 2026, and again on October 13, it read "Custom pricing options" and asked buyers to request a private offer for a custom quote. On September 22 it was the most detailed of Ada's listings: sold by Ada, it carried a single pricing dimension called "AI Agent / Conversation Volume" and priced three contract lengths: $35,000 for twelve months, $63,000 for twenty-four and $90,000 for thirty-six. The multi-year figures were exactly the discounts the tabs advertised: $63,000 is ten percent off two years at the annual rate, and $90,000 is just over fourteen percent off three. Annualized, that was $35,000, $31,500 and $30,000. The listing still carries a customer rating of 4.6, from 180 reviews on October 13. Treat those three contract prices as a snapshot of what Ada once listed, not a price you can buy at today.

What that listing did not say, even when it showed prices, is how many conversations $35,000 entitled you to. The dimension was named for conversation volume and then never quantified, so the number was an entry point rather than a rate.

A second AWS listing named the volume, then disappeared. On September 25, 2026 Ada also sold on AWS as "Ada - AI Agent", with a hyphen, offering one tier, "Ada Strategic includes 60,000 conversations", at $33,000 for a 12-month contract. That is $33,000 ÷ 60,000 = $0.55 a conversation. On October 13, 2026 the same URL returned AWS's "Page not found", and a marketplace search for Ada showed only two Ada listings: "Ada AI Agent" and a new one.

The new AWS listing is the first place Ada prints a per-conversation rate. "Ada for Travel & Hospitality - AI Agent for Trip Disruptions", sold by Ada, has one pricing dimension, "AI Agent", described as "Conversation Volume", at $0.55 on a 12-month contract, $0.52 on a 24-month contract and $0.49 on a 36-month contract. It matches the retired Strategic bundle to the cent, so $0.55 looks like Ada's list rate rather than a travel-only price, though the listing itself is pitched at rebooking, refunds and vouchers.

One caution on the longer terms: AWS labels them "save up to 53%" and "save up to 70%", which is what you get if $0.52 covered two years of the same conversation ($0.52 against 2 × $0.55 = $1.10). Ada does not say how a conversation bought on a multi-year contract is counted, so read $0.52 and $0.49 as per-conversation rates for a longer commitment (5% and 11% below $0.55), not as a 53% or 70% discount, until Ada confirms it in writing.

The Salesforce AgentExchange listing sets the floor. Ada's listing there, unchanged on October 13, 2026, reads "Starting at $30,000 per Company/Year", with discounts available for nonprofits, and a single Default Plan card. The listing states the model in Ada's own words: "Ada's pricing uses a consumption based model that includes economies of scale." One oddity worth flagging rather than smoothing over: that Default Plan card also advertises a 14-day free trial, while G2's pricing tab says flatly that Ada does not offer a free trial, and ada.cx offers no self-serve route to one. We could not reconcile those, and we would not budget on the trial existing.

Azure Marketplace lists the highest public price. Ada's own listing on Microsoft's marketplace, "Ada's AI Agent", has one public plan at $250,000 a year on a one-year subscription, with no conversation volume stated. The listing header reads "Starting at $13,500.00/year", but that figure comes from a private plan made for one named customer, so it is not a price you can buy at. We read it on September 25, 2026, and it was unchanged on October 13.

Review directories add a fourth number. Software Advice, part of Gartner's directory network with Capterra and GetApp, listed Ada on October 13, 2026 at "Starting price: $60,000.00 per year", with no free trial and no free version (Capterra showed us a security check that day instead of the page). GetApp showed the same $60,000 a year when we checked on October 14, 2026. The directory names no source and shows "No plan information available", so treat $60,000 as a directory figure that happens to sit near Vendr's median, not as an Ada price.

ada.cx itself publishes nothing. We checked on September 22, 2026, and again on October 13: ada.cx/pricing is not a page in its own right, it redirects to Ada's Book a Demo form. The form asks for a business email, a company name, and one qualifying question, "What is your expected customer contact volume this year across all service channels?", whose underlying field is literally named what_is_your_average_annual_ticket_volume_. Its buckets run 0–99,999, 100,000–299,999, 300,000–499,999, 500,000–999,999, 1M–4.99M, 5M–19.99M, 20M–99.99M and "More than 100 million". That dropdown is the clearest public statement of who Ada expects to sell to.

What counts as a conversation in an Ada contract?

Ada's Service Specific Terms (last updated February 3, 2025, read October 13, 2026) are the only public document that defines Ada's billing units. None of the third-party Ada pricing pages we read quotes them, and they change what $0.55 a conversation buys:

• An email thread is one conversation until it goes quiet for 72 hours. An "Email Conversation" covers unlimited emails between the bot and one end user, and "ends after 72 hours of inactivity". A customer who replies on day four starts a second, separately counted conversation.
• A voice conversation runs from connect to disconnect, for any reason. It starts when the call connects and the caller starts speaking, and ends at disconnection, including a dropped line. Unless the order form says otherwise, fair use is an average call length of seven minutes and up to 100 concurrent calls per bot, above which Ada "reserves the right to charge Customer for any overages and/or suspend the Voice Services."
• Telephony and SMS are billed by Twilio, not Ada, by default. Unless the order form says otherwise, you need your own Twilio subscription and pay its voice and messaging fees on top of Ada's.
• Automated resolutions can still be bought. The same terms say Ada invoices up front "for the number of Automated Resolutions purchased", counted from a sampled average resolution rate, where a resolution is a conversation that is not escalated and is relevant, accurate and safe. Ada's public position since July 2025 favors per-conversation billing, but the resolution unit is still in its terms, so ask which unit your order form uses.
• Renewal, notice and a 10% uplift are in the terms. Ada's Customer Terms of Use (updated August 5, 2026) say orders automatically renew for one-year periods unless either side gives at least 30 days' notice before the term ends, and that fees for a renewal term go up 10% for the same services. Costbench also lists a monthly interaction minimum; we could not find one in Ada's public terms, so check your order form and negotiate the uplift before you sign.

Chat conversations have no separate definition in these terms. Ask Ada for one, including what happens when a chat moves to email.

What do Ada buyers actually pay?

Vendr sells negotiation help rather than a competing AI agent, which makes it the least conflicted source on this page. On October 13, 2026 its Ada entry showed a median annual contract value of $72,000 across 119 purchases, and an average saving of 17% (17.48% in the header tile). The "low" and "high" it displays, $36,211 and $286,200, are the 10th and 90th percentiles of its data, so 80% of recorded purchases sit between them; the full range runs from $5,880 to $646,799. The median has held while the edges move: on September 22 the page read 114 purchases, $36,079 and $309,200, and on September 24, 116 purchases, $36,132 and $300,000.

The header tile's "55 Deals handled" counts negotiations Vendr ran itself; the 119 purchases come from 35 distinct buyers, so many are renewals or add-ons. The page's text says it was last updated in February 2026, so the bands below may be older than the median.

Vendr's deal-size bands, which it describes as first-year cost including implementation:

The same page names the costs that sit outside the platform fee: overage above the contracted volume at $0.10–$0.50+ per conversation in one section and $0.20–$0.50 as the "standard" rate in its FAQ (buyers who negotiate it up front get $0.05 to $0.15), custom integration work at $10,000–$50,000+, premium support and named account management at $10,000–$50,000+ a year, additional languages at $5,000–$20,000+ each, and annual escalation clauses of 3–7%. Those are Vendr's observations of signed contracts, not Ada's published terms, and they are the single biggest reason a $30,000 listing price and a $72,000 median can both be true.

Vendr also sizes implementation by scope: $15,000–$30,000 for a basic build (simple workflows, one or two integrations), $30,000–$60,000 for a standard one (three to five integrations) and $60,000–$100,000+ for complex, multilingual work. It reports that buyers who unbundle implementation cut it by 20% to 40%, and that buyers with a competing quote land 20% to 35% below Ada's first number.

How does Ada model its own per-conversation cost?

Ada does publish arithmetic, just not its own rates. In a July 18, 2025 post by Mike Lidin, its Senior Director of Customer and GTM Activation, Ada argues against per-resolution pricing and works an example at $1.50 per resolution against $0.35 per conversation, over three years at 500,000 conversations growing 10% a year while the automated-resolution rate climbs from 25% to 75%. The table it prints carries the only per-conversation number Ada has put its name to:

Ada's figures, read on ada.cx on September 22, 2026. The arithmetic checks out at both ends: 605,000 × $0.35 is $211,750, and 453,750 × $1.50 is $680,625.

Two things follow. First, $0.35 is an illustration and not a rate card: Ada never says it charges that. Second, $35,000 (the AWS listing's price on September 22) at $0.35 a conversation is 100,000 conversations a year, which lines up neatly with the bottom bucket on Ada's own demo form. That is an inference from two Ada sources rather than a published entitlement, and we would ask Ada to confirm the volume in writing before treating it as one. The rate Ada does publish, $0.55 a conversation on AWS, is about 57% above the illustration ($0.55 ÷ $0.35 = 1.57).

What the other Ada pricing pages say, and where they come from. Most of the figures repeated about Ada trace back to a handful of pages, read on October 13, 2026:

• Fin reports "$1.00 to $3.50" per conversation. Featurebase (updated October 11, 2026) gives the same range per AI resolution, plus $100,000–$300,000+ a year for large deployments. Both sell against Ada, they disagree about the unit, and neither cites an Ada source for the range.
• Sacra, a research firm, describes outcome pricing of "$0.99 to $1.50 per resolved interaction", gross margins in the 60-70% range, a $1.2B valuation from the May 2021 Series C and about $202M raised.
• Costbench (Ada page last updated June 9, 2026) repeats Vendr's median from its 114-purchase reading, lists a "14-day sandbox trial", and counts a $30,000 platform fee as a hidden cost.
• Quiq (updated September 3, 2026) reports the AWS $33,000 bundle, the $60,000 directory price, and an earlier-2026 minimum of 300,000 conversations a year that Ada no longer displays.

Once the unit is fixed, those figures disagree less than they seem to. At a 50% automated resolution rate, Ada's $0.55 a conversation is $1.10 per resolution ($0.55 ÷ 0.5), inside Sacra's range; at 25%, it is $2.20, inside the Fin and Featurebase range. The per-resolution numbers can be the same price as the per-conversation one, divided by a resolution rate nobody states.

What does Ada cost per conversation at 3,000, 10,000 and 50,000 conversations a month?

Assumptions you can rebuild: chat and email only, no voice minutes or Twilio fees, Ada's published $0.55 a conversation (AWS, 12-month contract, read October 13, 2026) as the list rate, the $30,000 AgentExchange price as the minimum contract, and Vendr's implementation bands for year-one setup. List arithmetic is from published figures; anything using Vendr's bands is an estimate.

At 3,000 a month, the floor does the damage: the list rate would bill $19,800, but the smallest published contract is $30,000, so each conversation costs $0.83 before setup and $1.25 to $1.67 in year one once implementation is added.

At 10,000 a month, list arithmetic lands at $66,000, close to Vendr's $72,000 median. At $0.55, that median buys $72,000 ÷ $0.55 = about 130,900 conversations a year, or roughly 10,900 a month, which suggests the typical Ada buyer is around this size.

At 50,000 a month, list and Vendr disagree by more than two to one. List arithmetic gives $330,000. Vendr's mid-sized band (25,000 to 100,000 conversations a month) puts the platform fee at $70,000–$150,000, which is $0.12 to $0.25 a conversation ($70,000 ÷ 600,000 and $150,000 ÷ 600,000), or $95,000–$200,000 in year one with implementation ($0.16 to $0.33). That gap is what volume commitments and negotiation buy, and nobody publishes where inside it you will land.

None of these figures includes the 3% to 7% annual escalator Vendr says Ada contracts typically carry, overage above the contracted volume, extra languages ($5,000–$20,000+ each, per Vendr), or Twilio's charges for voice and SMS.

Why does Ada bill per conversation instead of per resolution?

Ada championed automated resolution as the metric the category should be judged on (did the AI actually resolve the issue, or did the customer simply give up?) and it markets an automated resolution rate of up to 83%, a figure it put out over BusinessWire in May 2024 and repeats on its AWS listing. It then concluded that resolution is the wrong thing to bill on, and moved to conversations. If you read a write-up saying Ada charges per resolution by default, it is out of date, although Ada's terms still let an order form buy automated resolutions up front (see what counts as a conversation, above).

Both models are defensible and they put the risk in different places. A per-resolution price pays the vendor only when the agent succeeds, so the vendor carries the risk of a weak agent, but it earns more for everything counted as resolved, and the vendor usually owns that definition. A per-conversation price removes the definition argument and gives you a forecastable bill, and it moves the risk onto you: Ada earns the same whether the conversation ended well or badly, so its incentive is volume. Our breakdown of AI agent pricing models and the narrower comparison of per-action versus per-resolution billing go through the trade-offs in more detail.

How does Ada's price compare with Fin, Zendesk AI and Macha?

Each vendor bills a different unit, so the first table lists what each one publishes and the second turns those rates into a yearly bill at the same three volumes as above. All prices were read on October 13, 2026.

For the yearly bill, assume the AI handles every conversation and 60% of them end in something Fin or Zendesk bills (a resolution or, for Fin, a billable handoff). Ada and Macha bill every conversation or ticket whatever the outcome. Zendesk is modeled on Suite Professional with 10, 30 and 100 agents, which includes 1,200, 3,600 and 10,000 resolutions a year (10 × agents × 12, capped at 10,000). Help desk seats, which you pay with or without AI, are left out.

The resolution rate moves these numbers most. Fin and Zendesk bill less when fewer conversations resolve, while Ada and Macha do not. At a 40% rate, Fin at 3,000 a month is 14,400 × $0.99 = $14,256, and Zendesk is (14,400 − 1,200) × $1.50 = $19,800.

Negotiation is the other variable. Only Ada's rows carry implementation fees, an escalator and overage on top, and only Ada's large-volume row has a published procurement band that undercuts its list price.

Two of Ada's long-standing rivals now sit inside larger companies. Salesforce completed its acquisition of Fin on September 10, 2026, and Zendesk now sells Forethought, which matters on a multi-year horizon. Our Decagon, Sierra and Forethought guides cover the other quote-only platforms in the same bracket, and the best Ada alternatives covers the ones that publish.

What is Ada, and how does its AI agent work?

Ada is an AI customer service automation platform, founded in Toronto in 2016 by Mike Murchison and David Hariri. It became a Canadian unicorn in 2021 and has raised roughly $200M from investors including Accel, Bessemer Venture Partners and Spark Capital. By its own numbers it has deployed 550+ AI agents and powered more than 6.4 billion interactions, for brands including Ancestry, Cebu Pacific, IPSY, monday.com, Pinterest, Square, Sky and YETI.

The architecture centers on what Ada calls the Reasoning Engine: the layer that interprets a question, retrieves knowledge from connected sources, plans the steps needed, runs safety checks, then responds or acts. Around it sit Playbooks (multi-step standard operating procedures the agent follows using live data), Coaching (you review past conversations, give feedback, and the corrections apply forward), a no-code visual builder, and channel coverage that genuinely includes voice alongside chat, email, social, ticketing and SMS. It is a standalone platform: the agent lives in Ada and reaches out to your help desk and back-end systems, which is the structural difference to tools that sit on top of a help desk you already run.

What do users say about Ada?

Ada's reviews tell two different stories depending on who is reviewing.

On G2, where reviewers are the support and CX professionals who build and run the agent, Ada scores 4.6 out of 5 from 173 reviews, checked September 22, 2026. The praise centers on onboarding, the builder and the account teams. One G2 reviewer, a CX and support admin writing in 2025, said "the onboarding academy is fantastic and has provided users with the opportunity to upskill themselves as an AI agent builder," and another highlighted process automation: "Ada's playbooks feature allows for the easy implementation of existing SOPs into successful flows without having to build complex ones from scratch." Ada's AWS Marketplace listing carries a separate 4.6 from 180 reviews (October 13, 2026). On Capterra it sits at 4.7 out of 5 from 15 reviews as of September 21, 2026, on a much thinner base. Pricing transparency is the recurring complaint even among people who like the product.

On Trustpilot, where the reviewers are end customers who hit an Ada-powered bot, the score collapsed to roughly 2.0 out of 5 when our research checked it in June 2026. Trustpilot bot-walled a re-check in September 2026, so treat that as a June reading on a small base. The complaints are about loops and escalation. One review puts it bluntly: "I've never seen a product so ruthlessly dedicated to wasting a person's time." Another describes the mechanism: "This bot will send you in an endless loop… if they need me to come back in 8 hours just tell me and don't end the chat and make me start over again."

That split is the single most important thing to understand about Ada's reviews. It is not a contradiction so much as two populations: buyers and builders who value the platform's depth, and consumers who meet the bot when they are already frustrated and want a human. Read it as a reason to invest in clean escalation paths rather than as a verdict on the software.

What goes wrong with Ada, and how do you fix it?

Most of what goes wrong after launch is configurable, and Ada's own documentation is unusually candid about where the product stops. These were read at docs.ada.cx on September 20, 2026.

1. The bot loops and the customer cannot reach a human. This is the gap between the two review populations. The fix is the Handoffs part of the build, and it is what teams under-invest in. In Ada a Handoff is a first-class object that defines how the agent escalates a conversation to a human or another system, and passes the context along. Build one per escalation scenario instead of a single catch-all, put a Handoff block inside Playbooks so a failing process ends in a person instead of a retry, turn on transcript summaries, and check each handoff integration separately, because Salesforce, Zendesk Chat and Zendesk Messaging are configured and can fail independently. Then test what customers actually type: "agent", "human", "this isn't working".

1. Half your knowledge never made it in, and nothing told you. Ada's web import documentation lists its limits plainly, and each is a silent gap: it scrapes public pages only, so anything behind a login is invisible; articles over 100KB are truncated; the crawler follows links five levels deep; an agent caps at 50,000 articles and a single web source at 1,000, and "if your AI Agent reaches either number, the import will stop"; sites that block crawlers, skip semantic HTML or rely on JavaScript and geo-based redirects "may cause the scraper to retrieve unexpected, or incomplete content"; URLs cannot exceed 1,024 characters. Use a knowledge-base integration wherever one exists and keep the scraper for content that lives nowhere else.

1. The answer is technically correct and useless. A customer asks why their card was declined and gets pointed at a general "Common Payment Issues" article. Ada uses that exact example in its own knowledge best practices, noting the article is accurate but "doesn't always provide the exact answer end users are looking for, leading to unnecessary frustration or escalations." The prescribed fix is structural: split one broad article into focused ones, title them with the words customers use, and put the causes and steps inside each. To find which articles need it, open Analytics › Topics & Intents, sort by AR Opportunity, take one high-volume topic with a low AR rate, and read three low-CSAT conversations in it.

1. A tool quietly does nothing, mid-conversation. Ada's tool limits explain two failure modes, both silent by design: a call gets about 30 seconds, after which the agent stops waiting and continues without the result; and a response gets about 60,000 bytes, beyond which the agent drops the whole result instead of reading part of it. A third is subtler: tool descriptions cap at 4,096 characters, and a longer one is cut off during discovery. Return the fields a conversation needs instead of a whole record, keep calls inside 30 seconds, and write short, distinct descriptions.

1. The agent answers in the wrong language, or will not switch. Autodetect on chat and email needs at least three meaningful words and 20 characters in a Latin-script message before it will switch, so short messages stay in whatever language the conversation started in. Some pairs are switch-disabled because the detector finds them too similar (Malay and Indonesian, Simplified and Traditional Chinese, Spanish and Catalan, Croatian and Serbian), and once a conversation is in Haitian Creole, Tagalog or Bosnian, detection cannot switch out. Put the language picker in front of customers in the chat Settings menu. And if your help content is multilingual, do not reach for the web scraper: Ada states that "multi-language content is not supported" in web import and "all scraped articles are currently set to English, regardless of the original page language."

1. You cannot trial it. Ada offers no self-serve signup, and the only route in is a sales conversation, so you cannot run it on a slice of your queue before signing. The procurement fix is to ask, in the first call and in writing, for the rate and the unit separately, the annual minimum, what counts as a conversation on voice versus chat, whether the platform fee includes a volume of them, and what the escalator is. Then price the same volume against a vendor that publishes, so you know what the opacity is costing you.

How we researched this

On September 22, 2026 we read Ada's AWS Marketplace listing, its Salesforce AgentExchange listing, Vendr's Ada entry and G2's Ada pricing tab in a real browser, and confirmed that ada.cx/pricing redirects to Ada's demo form; the marketplace figures and the Vendr median in this post are our own first-hand reads of those pages, not repeats of another publisher's numbers. On September 25, 2026 we rechecked the marketplaces in a browser: AgentExchange still showed "Starting at $30,000 per Company/Year", the "Ada AI Agent" AWS listing had replaced its contract prices with custom pricing through a private offer, a second AWS listing, "Ada - AI Agent", showed $33,000 for 60,000 conversations, and Azure Marketplace showed Ada's own "Ada's AI Agent" listing with a $250,000 public plan. We searched AWS, Azure and Salesforce marketplaces by name. We re-read Ada's own July 2025 pricing post for its worked example and checked its arithmetic. Product limits come from docs.ada.cx, read on September 20, 2026. We are not an Ada customer and Ada offers no trial we could verify, so nothing here comes from our own instance of the product. ada.cx answers scripted requests with a Cloudflare block, so its pages were read in a browser; the marketplace and procurement pages are linked directly.

On October 13, 2026 we re-read every price on this page in a browser: AgentExchange, both surviving AWS listings plus AWS's marketplace search for Ada, Azure Marketplace, Vendr, Software Advice, ada.cx/pricing, Ada's Service Specific Terms and Customer Terms of Use, and the Fin, Zendesk, Macha and eesel pricing pages. That is when we found the $33,000 AWS listing removed, the new $0.55-a-conversation travel listing, and Vendr's range move to 119 purchases. Zendesk's pricing page served UK pricing to one of our fetches, so its US dollar figures come from the browser read. We also read the pages AI assistants currently cite for Ada's cost (Featurebase, Quiq, Costbench, Sacra and Vendr) and list what each claims, with its date, above. Every cost per conversation on this page is our own arithmetic from those published figures; the 60% resolution rate and Zendesk agent counts are assumptions, stated where they are used. This page has no worked example: we are not an Ada customer, so the first-hand evidence is our dated reads and screenshots of Ada's own listings.

Who is Ada best for?

Large enterprises with high conversation volume, multiple channels including voice, and the budget and internal resources for a managed, automation-first platform. It suits teams that want a standalone AI agent sitting across many channels and back-end systems instead of one help desk. Organizations comfortable with enterprise procurement: annual contracts, a sales cycle, and an implementation that Fin's Ada pricing page puts at 8 to 16 weeks.

Ada is the wrong fit if you are an SMB or mid-market team, since the published floor is $30,000 a year before implementation; if you need self-serve onboarding or a genuine trial; or if your support already lives almost entirely inside one help desk and you would rather add AI to that than adopt a separate platform.

Where does Macha fit next to Ada?

Ada is a destination: the agent lives in Ada, and you connect your help desk to it. Macha is the opposite shape: an AI agent layer that runs on top of the help desk you already have: Zendesk, Freshdesk, Gorgias, Front, HubSpot or Intercom (see Macha on Zendesk). It is not a help desk and not an Ada replacement at Ada's volumes.

The pricing contrast is the cleanest way to see the difference. Ada bills per conversation on a contract you negotiate, with a published floor around $30,000 a year. Macha is one plan priced on monthly ticket volume, $299/month for 750 tickets, about $0.40 per ticket at every tier, billed monthly, and it's done for you: the Macha team analyzes your past tickets, builds the knowledge base and the agent, and runs it in safe mode until the drafts are right. That price includes setup and a dedicated success manager who handles your changes, on the trial and every plan. A ticket is one thread between Macha and one person, charged once no matter how many messages it takes. At 3,000 tickets a month that is $14,388 a year, against Ada's $30,000 floor before implementation. Above 10,000 tickets a month the price is custom, so at the 50,000-a-month volume modeled above Macha has no published number either, which is worth saying plainly instead of implying a comparison nobody has published. Where Macha does compete is the band Ada's demo form calls 0–99,999: a team doing a few thousand tickets a month, already on one of those help desks, that wants AI inside it rather than beside it. The honest watch-out is that it is only as good as the knowledge and systems you connect to it; connecting them takes about 15 minutes, and the Macha team does the rest.

If you are weighing AI options specifically around Zendesk, our best AI Zendesk alternatives comparison goes deeper, and the tiers are on our pricing page. You can try the approach with $50 of free usage (about 125 tickets), no credit card, no time limit at dashboard.getmacha.com/signup.

Ada is one of the 14 products we score on the same 30-point rubric in our roundup of the best AI chatbots for customer service.

Frequently asked questions

How much does Ada cost? Ada's own published floor is $30,000 a year on its Salesforce AgentExchange listing, and its only published rate is $0.55 a conversation on a 12-month AWS Marketplace contract ($0.49 on 36 months), both read October 13, 2026. Azure Marketplace lists a public plan at $250,000 a year. Vendr, which tracks signed contracts, puts the median buyer at $72,000 a year across 119 purchases, with the middle 80% between $36,211 and $286,200. Ada publishes nothing on ada.cx itself, and the AWS listing that sold 60,000 conversations for $33,000 was removed between September 25 and October 13, 2026.

Is Ada AI free? No. Ada offers no free plan and no self-serve signup. Ada's AgentExchange listing advertises a 14-day free trial, but G2's pricing tab states that Ada does not offer a free trial, Software Advice listed "no free trial" on October 13, 2026, and when we loaded ada.cx on September 22, 2026 every signup path led to the demo form, so do not plan around it.

What is Ada's pricing per month? Ada sells annual contracts, not monthly plans. The $30,000 AgentExchange floor works out to $2,500 a month. At the $0.55 AWS rate, 3,000 conversations a month would be $1,650, but the floor still applies; 10,000 a month is $5,500. Vendr's $72,000 median is about $6,000 a month.

Does Ada charge per conversation or per resolution? Per conversation. Ada popularized automated resolution as a metric, then argued publicly against using it as a billing unit, on the grounds that definitions vary between vendors and a per-resolution bill rises as the agent gets better. Its terms still allow an order form to buy automated resolutions up front, so check which unit your contract uses.

What is Ada's price per conversation? $0.55 on a 12-month contract, $0.52 on 24 months and $0.49 on 36 months, from Ada's travel and hospitality listing on AWS Marketplace, read October 13, 2026. It is the only per-conversation rate Ada has published; its July 2025 pricing post used $0.35 as an illustration. Third parties quote $1.00 to $3.50, but that range is per resolution or per interaction, depending on who you read.

Why is there no Ada pricing calculator? Because Ada publishes no rate card to calculate from. The closest public substitutes are the AgentExchange floor, the $0.55 AWS rate and Vendr's banded data; the demo form's volume dropdown is what Ada uses to segment you before quoting.

Is Ada worth it for a small business? Generally no. With a $30,000 published floor, annual contracts, implementation measured in weeks and a demo form whose smallest volume bucket runs to 99,999 contacts a year, Ada is built for large organizations. Smaller teams usually fit better with native help-desk AI, or with an AI layer on top of the help desk they already run.

What should I negotiate on an Ada contract? Vendr's observed levers, from its Ada page: multi-year terms (20% to 30% off list), volume commitments (15% to 25% lower per-conversation rates), annual prepayment (a further 5% to 10%), a cap on the 3% to 7% annual escalator, overage negotiated down from $0.20 to $0.50 a conversation to $0.05 to $0.15, implementation unbundled and scoped separately (20% to 40% lower), and a competing quote on the table (20% to 35% below Ada's first number).

What should you budget for Ada?

Ada is one of the most mature AI customer service platforms on the market, genuinely omnichannel including voice, enterprise-grade on security, and responsible for pushing the category from deflection toward real automated resolution. The pricing is opaque on its own website but it is not unknowable: Ada publishes $30,000 a year on AgentExchange and $0.55 a conversation on AWS, and the median company that signs pays about $72,000. Budget from those, not from a competitor's estimate, and ask Ada to put the rate, the unit and the included volume in writing before you compare it to anything.

Sources: AWS Marketplace: Ada AI Agent · AWS Marketplace: Ada - AI Agent (prodview-cceqobd3az73i, removed by October 13, 2026) · AWS Marketplace: Ada for Travel & Hospitality · Azure Marketplace: Ada's AI Agent · Software Advice: Ada · GetApp: Ada · Ada: Service Specific Terms · Ada: Customer Terms of Use · Salesforce AgentExchange: Ada · Vendr: Ada pricing · G2: Ada pricing · G2: Ada reviews · Ada: Unpacking AI agent pricing · Ada: Book a Demo · Fin: Ada CX pricing · Featurebase: Ada.CX pricing · Quiq: Ada CX pricing · Costbench: Ada · Sacra: Ada · Salesforce completes acquisition of Fin · Fin pricing · Zendesk pricing · eesel AI pricing · Ada product documentation at docs.ada.cx