AI agents
Moveworks competitors fall into four groups
The vendor list is short. The decision is really about how you are billed, how much of your knowledge one platform can see, and what happens when an answer is almost right.
Who are Moveworks' competitors?
Moveworks' closest competitors are Kore.ai, Aisera, Leena AI, Espressive and Atomicwork. Beyond those, the real alternatives are the assistant already bundled with your suite, such as Microsoft 365 Copilot or Atlassian Rovo, enterprise search like Glean, and building on your own stack. Billing model separates them more than features do.
The short version
- The direct substitutes for Moveworks are Kore.ai, Aisera, Leena AI, Espressive and Atomicwork.
- The competitor buyers forget to count is the assistant already bundled with the suite they pay for, which costs nothing new to trial.
- Moveworks publishes per-seat pricing on its own AWS Marketplace listing: $150.00 per user per year for the 1,000 to 2,500 user band on a 12-month contract.
- Per-seat pricing bills you for every employee whether they ask anything or not, so the cheaper model depends on how often people actually ask.
- A deflection rate in a vendor deck was measured on somebody else's ticket mix and somebody else's documentation, not yours.
Who are the direct Moveworks competitors?
Kore.ai, Aisera, Leena AI, Espressive and Atomicwork are the closest substitutes. They sell the same shape of product: an assistant in Slack or Teams that answers employee questions about IT, HR and internal tools, and runs a small set of actions such as a password reset, a software request or an access approval. If you are running a bake-off, these are the names that end up on the same spreadsheet.
The second group is not marketed as a Moveworks competitor at all, which is why buyers forget to count it. ServiceNow, Microsoft, Atlassian and Freshworks all ship an assistant inside software you may already own. It is usually weaker on questions that cross system boundaries, and cheaper by a wide margin, because you have already bought most of it.
The third group answers questions without pretending to close tickets. Glean and Guru sit here, along with the search layers inside the suites. If your real problem is that nobody can find the travel policy, search solves it and you do not need an agent that can reset a password.
The fourth option is a build on your own stack: retrieval over your own sources, your own permission model, actions wired to the systems you actually run. It is the only option where nobody charges you per employee, and the only one you own afterwards. It also needs a named owner, which is the part that gets skipped.
How the four groups differ
| Option | What you are buying | How it is usually billed | Where it tends to break |
|---|---|---|---|
| Moveworks | Employee support assistant for IT and HR, plus a set of actions | Per seat, per year, on an annual contract | Cost scales with headcount, not with how much anyone uses it |
| Kore.ai, Aisera, Leena AI, Espressive, Atomicwork | The same shape of product, with different integration depth | Per seat, sometimes per resolution, quoted on a call | Overlap with tools you already pay for |
| Assistants inside ServiceNow, Microsoft, Atlassian, Freshworks | An assistant bundled into a suite you may already own | Platform tier or add-on licence | It answers from what its own platform indexes, not everything you have |
| Glean, Guru and other enterprise search | Finding and citing the answer across systems | Per seat | Answers the question, does not close the ticket |
| A build on your own stack | Retrieval and actions wired to your systems and your permissions | Engineering time, then inference and hosting | Rots quietly if nobody owns the content pipeline |
What does Moveworks cost, and how do competitors bill?
Moveworks publishes a price on its own AWS Marketplace listing. Under the heading for a 12-month contract it shows a single dimension, '1,000-2,500 users', described as price per user per year, at $150.00. Treat that as one published band on one channel rather than the number you would be quoted after procurement. The shape is the useful part: you pay for headcount, not for use.
The other shape is outcome pricing. Intercom bills its Fin agent per resolved outcome rather than per seat, with a minimum monthly commitment. Fin is aimed at customer support rather than employee support, so it is not a like-for-like swap, but it is the clearest public example of the billing model worth asking every vendor on your list about.
The two models cross over at a usage level you can estimate before you talk to anyone. Pull three months of your ticket log, count the tickets that are repeated questions with a documented answer, and divide by headcount. If that comes to a handful of questions per employee per year, per-seat pricing is expensive per answer and you should push for consumption terms or a smaller seat count. If your service desk is drowning, per-seat looks better and the savings argument gets easier to make honestly.
Is the assistant bundled with your suite good enough?
Often, for the first year, if most of your knowledge already lives in that suite. A bundled assistant can only see what its own platform indexes, so the question is not how good the model is. It is how much of your company's knowledge sits inside one vendor's walls.
That is also why the bundled option is the right baseline rather than the right answer. Turn it on, point it at the wiki, and log every question it gets wrong for a month. 'How does a contractor get access to the billing dashboard' spans an identity provider, a ticketing system and a policy page, and bundled assistants tend to answer from whichever one they can see. The list of questions it could not handle is a better requirements document than anything a vendor will write for you, and it costs you a month and no money.
It also sets a floor on price. If a specialist vendor wants a per-seat fee on top of software you already own, the comparison is not against doing nothing. It is against the included assistant, which is already handling some of the volume for free.
When is building your own worth it, and when is it not?
Build when the questions are specific to systems only you run, when permissions decide what a given person may be told, or when per-seat arithmetic stops making sense at your headcount. Buy when you want a password reset bot, a leave balance lookup and nothing else. Those are solved products, and a home-made version is usually a worse copy of something you can buy this quarter.
Headcount is the quiet variable. These platforms are designed and priced for large employee bases, and the seat bands on public listings start in the thousands. The Census Bureau's Business Trends and Outlook Survey finds AI use concentrated in businesses with at least 20 employees, which tells you the floor for adoption, not the shape of the buyer these contracts were written for. A 60 person company is usually better served by something narrow.
The honest constraint on a build is ownership after launch. Content changes, permissions drift, and a system nobody maintains gives confident answers from last year's policy. If no named person will own it next quarter, buy the thing that comes with a support contract and let somebody else carry that.
How do you compare these tools without trusting the deflection number?
Score them on your own questions. Take 100 real tickets from your own log, write the correct answer for each, and include the ones where the correct response is to escalate to a human. Run the same set through every trial. A deflection rate in a deck was measured on somebody else's ticket mix, somebody else's documentation and somebody else's definition of 'deflected'.
Grade two things separately: whether the answer was right, and whether the citation it offered actually says what the answer claims. The expensive failure is not a refusal, it is the answer that is almost right, which a user acts on and nobody logs. In Stack Overflow's 2025 developer survey, more respondents said they distrust the accuracy of AI answers than said they trust it, and that is the population most able to spot a wrong one.
Then price the win in money rather than percentages. Deflection is worth the labour it avoids, so the denominator is a wage. The Bureau of Labor Statistics publishes a median annual wage for computer support specialists from its May 2025 survey of employers. Use that published figure, divide it down to an hourly rate, and multiply by the minutes your own tickets actually take. The result is usually smaller than the vendor's model and still large enough to justify something narrow.
What to ask on the first call
- Are you billing per seat, per resolution or per platform tier, and what happens at renewal when headcount grows?
- Which of our systems do you read on day one, and which need a connector somebody has to build?
- How are permissions enforced: before retrieval, or by filtering what comes back?
- What does the assistant do when it does not know, and can we see that behaviour in the trial rather than the demo?
- When a policy page changes, who owns getting that into the index, us or you?
- Will you run our hundred question set during the trial and show us the per-question results?
Questions people ask
Who is the biggest Moveworks competitor?
Kore.ai, Aisera, Leena AI, Espressive and Atomicwork are the closest direct substitutes, and Kore.ai is the name most buyers see first. The bigger competitor in practice is the assistant bundled with a suite you already pay for, because it costs nothing new to trial and sets the baseline every paid tool has to beat.
Is Glean a Moveworks competitor?
Partly. Glean competes for the question answering half of the job: searching across connected systems and citing where an answer came from. The overlap is weaker on the action half, the password resets and access requests that close a ticket without a human. If your complaint is that nobody can find the policy, search is the cheaper fix.
How much does Moveworks cost compared with the alternatives?
Moveworks' own AWS Marketplace listing shows one published band on a 12-month contract: 1,000 to 2,500 users at $150.00 per user per year. Specialist competitors quote on a call, so the comparison has to be made on billing shape rather than headline price. Ask whether you pay per seat, per resolution or per platform tier, because that decides who carries the risk of low usage.
Should we just use Microsoft 365 Copilot instead?
If most of your knowledge lives in Microsoft 365 and your service desk volume is modest, trying it first is the rational move. The limit is coverage rather than quality: a bundled assistant answers from what its own platform indexes, so questions that cross systems are where it struggles. Run it for a month and keep the log of what it failed. That log is your requirements document.
We have 50 employees. Is any of this for us?
Not the per-seat platforms. They are designed and priced for thousands of employees, and the published seat bands show it. At 50 people the money is better spent on fixing the documentation first, then putting a narrow assistant over your own documents with permissions enforced at retrieval. That is a weeks-long piece of work, not a platform contract.
What should a trial actually prove?
That the tool answers your questions, not that it answers well in general. Give every vendor the same hundred real tickets with known answers, including ones where the right response is to escalate. Score correctness and whether each citation says what the answer claims. A trial made only of happy path demos proves the model is competent, which was never in doubt.
Related on this site
- an internal knowledge assistant over your own sources
- support agents that answer from your documentation and escalate when they should not guess
- getting the knowledge sources in order before anything indexes them
- how we scope a build, and what we will talk you out of
- how we enforce permissions at retrieval, and what we do not hold
Sources
- Moveworks by Moveworks | AWS Marketplace, Vendor-published price table on its own AWS Marketplace listing. The listing has exactly one pricing dimension under the heading '12-month contract': dimension '1,000-2,500 users', description 'Price per user per year', cost/12 months '$150.00'. The price is a bare table cell, not part of a sentence, so the quote is the cell value as published. · Moveworks (seller-published listing on AWS Marketplace), data from 2026
- Large Firms With at Least 20 Employees Biggest AI Users, Business Trends and Outlook Survey (BTOS), a biweekly nationally representative survey of U.S. businesses; this analysis covers BTOS data collected from December 14, 2025 to May 3, 2026, asking whether the business used AI in the past two weeks. · U.S. Census Bureau, data from 2026
- Computer Support Specialists : Occupational Outlook Handbook : U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics program: establishment survey of employers producing median annual wages by occupation, reference period May 2025 (page last modified August 27, 2026). · U.S. Bureau of Labor Statistics, data from 2025
- Intercom Pricing | Plans for every team size, Vendor's own public pricing page. Fin AI Agent is billed per resolved 'outcome' rather than per seat; the page also states a minimum monthly commitment (e.g. 50 outcomes). The figure appears as a price line, not inside a prose sentence. · Intercom, data from 2026
- AI | 2025 Stack Overflow Developer Survey, Stack Overflow Annual Developer Survey, fielded May 29 to June 23, 2025; 49,009 responses from 177 countries used in the results, with 33,244 responses to the AI-accuracy question. · Stack Overflow, data from 2025