Disclosure, before anything else
One of the eight products below is mine. I build Nora, and it appears here as entry #1 because this is my list. Every other search result for this query is a vendor listicle written by a vendor; I am saying so out loud rather than pretending otherwise. To keep the page useful anyway, I only quote figures each company publishes itself, I say where Nora is the wrong choice, and where a competitor is better for a given shape of business I name it.
“AI employee” is a marketing phrase, not a product category, and it currently covers four different things: a pack of persona-branded assistants that write copy, a workflow builder with a chat wrapper, a managed agent that lives in your business tools and acts on them, and an enterprise platform sold to a procurement committee. They cost between $16 and $200-plus per user per month, or nothing at all until a salesperson quotes you.
If you run a 10-500 person company, the useful question is not which is best. It is which of the four shapes fits the job you actually want done, because picking the wrong shape is what turns a $60-a-month subscription into six weeks of wasted evenings. Everything below is organised around that.
The comparison at a glance
| Platform | Shape | Published price (Aug 2026) | Best for |
|---|---|---|---|
| 1. Nora | Managed agent in your channels and tools | From $75/month, fair-use model usage included; 2-week free trial, no credit card | Owner-operators who want one assistant across WhatsApp, email and their tools |
| 2. Sintra AI | Twelve persona-branded helpers | $39/month per helper; bundles from $15.60/month on the 12-month plan | Solo founders and small marketing teams who mainly need output produced |
| 3. Lindy | Agent builder, credit-metered | $29.99 / $99.99 / $199.99 per user per month | Teams comfortable wiring their own triggers and steps |
| 4. Vellum | Personal assistant with its own compute | $30 / $100 / $200 per month, plus a free tier | Technical operators who want a self-hostable option |
| 5. Microsoft Copilot Studio | Agent platform inside Microsoft 365 | $200/pack/month for 25,000 Copilot Credits, or pay-as-you-go | Companies already standardised on Microsoft 365 |
| 6. Salesforce Agentforce | Agents on top of Salesforce data | Per conversation, Flex Credits, or per-user editions | Existing Salesforce customers, service and sales use cases |
| 7. Relevance AI | “AI workforce” platform | Enterprise plan, price on application | Larger teams building a fleet of agents with a vendor relationship |
| 8. Ema | Enterprise AI employees for HR, IT, finance | Outcome-based, not published | Enterprises with governance and on-premises requirements |
Every price above is the vendor’s own published figure as of 18 August 2026, and several are promotional. Pricing on this category changes faster than any article can track — check the vendor’s page before you budget, and treat anything I could not verify as unpriced rather than guessing.
1. Nora — one assistant across the channels a small business actually uses
This one is mine, so read it with that in mind. Nora is a managed AI assistant that sits in the places a small business already works — WhatsApp, web chat, email — and connects to the tools behind them, so it can answer, look something up, file it, and follow up without a person in the middle. Public terms: a two-week free trial with no credit card, then from $75 a month, which now includes fair-use Gemini 3.7 Flash, so it works from day one without an AI account of your own. Point it at Claude or GPT instead and you pay that provider directly, at no markup.
Best for: owner-operators and small teams whose problem is that enquiries and admin arrive in five places at once, and who want one thing that covers all of them rather than five automations to maintain.
Where it is the wrong choice: if your company runs on Salesforce and the job is service-case deflection, Agentforce is closer to your data than anything I build. If you are a Microsoft shop and the agent needs to read SharePoint and Teams, Copilot Studio starts inside the tenant and Nora does not. If you want a marketing content factory rather than an assistant that acts, Sintra is a better fit at a lower price. And if you need on-premises deployment with formal governance sign-off, look at Ema.
2. Sintra AI — twelve named helpers, cheapest way in
Sintra sells a roster of twelve persona-branded helpers — a social one, a copywriting one, an SEO one, and so on — each of which can be bought on its own at $39 a month, or taken together in the Sintra X bundle. The bundle is sold on term length: at the time of writing the twelve-month plan is advertised at $15.60 a month against a $52 list price, the three-month at $23.60 against $59, and the one-month at $48.50 against $97. All bundles include 250 monthly credits and a 14-day money-back guarantee.
The honest framing is that these are excellent drafting tools with strong onboarding, not agents that run your operations. Credits are the thing to watch: 250 a month goes quickly if you use it daily.
Best for: solo founders and one- or two-person marketing teams who want a lot of decent output for very little money, and who are fine being the person who reviews and sends it.
3. Lindy — build your own agents, pay by credit
Lindy is the builder in this list. You wire triggers, steps and tools together into agents, and pay per user per month for a credit allowance: Plus at $29.99 with 3,000 credits, Pro at $99.99 with 15,000, Max at $199.99 with 35,000, and a custom Enterprise tier with HIPAA compliance and a signed BAA. Credits reset monthly and do not roll over; when they run out, credit-using actions pause rather than generating an overage bill, which is a more honest default than most of this market.
The trade is the usual one for builder tools: enormous flexibility, and someone in your company has to own it. If nobody has three or four hours a week for that, an unmaintained Lindy build quietly stops matching reality.
Best for: teams with an operations-minded person who enjoys this work and will keep the builds alive.
4. Vellum — an assistant with its own machine
Vellum sells a personal AI assistant that comes with a small cloud computer attached, which is an unusual and quite practical shape: the assistant has somewhere to actually run things. Plans are Mighty at $30 a month (1 vCPU / 2 GiB, 10 GB storage, $25 of included credits), Super at $100 (2.5 vCPU / 5 GiB, 30 GB, $45 of credits, plus an assistant email address and subdomain) and Ultra at $200 (4 vCPU / 8 GiB, 60 GB, $115 of credits). Usage is billed in credits where $1 equals 1 credit, there is a free tier, and the runtime is open source under an MIT licence, so self-hosting with no platform fee is a genuine option.
Best for: technically confident operators who want an assistant they could take with them, and who value the self-hosting escape hatch more than a polished business UI.
5. Microsoft Copilot Studio — the default if you are already a Microsoft company
Copilot Studio is Microsoft’s platform for building agents, connecting them to business data and publishing them into Teams and other channels. Published pricing has three routes: Microsoft 365 Copilot at $30 per user per month paid yearly, a Copilot Studio pre-purchase pack at $200 per month for 25,000 Copilot Credits (Microsoft advertises up to 20% saving over pay-as-you-go), and straight pay-as-you-go with no commitment.
The advantage is not the modelling, it is the position: the agent already sits where your documents, mail and identity live, and IT already knows how to govern it. The disadvantage is that credit consumption is genuinely hard to forecast before you run something real, so start on pay-as-you-go and only pre-purchase once you have a month of actual numbers.
Best for: companies standardised on Microsoft 365 with an IT function that will own the deployment.
6. Salesforce Agentforce — agents where your customer data already is
Agentforce puts agents on top of Salesforce data for service, sales and support work. Salesforce now offers three commercial models: per conversation, Flex Credits, and per-user editions. Reported figures in 2026 put conversations at around $2 each, Flex Credits at roughly $500 per 100,000 credits (about $0.10 per standard action), and per-user licensing starting near $125 per user per month — and a single org must pick either conversations or Flex Credits, not both. Salesforce’s own pricing page is the only figure worth budgeting against, so check it.
The maths that matters: conversations win when your average interaction is long and multi-step, credits win when it is short. Twenty actions is roughly the crossover.
Best for: existing Salesforce customers. If you are not one, this is not a reason to become one.
7. Relevance AI — an “AI workforce”, sold by a salesperson
Relevance AI pitches an AI workforce — teams of agents with custom actions, unlimited agents and tools, unlimited users and projects, and a dedicated account manager. As of August 2026 its pricing page shows an Enterprise plan with no published figure and a “talk to sales” button, so I am not going to invent one. Treat it as a vendor relationship rather than a subscription.
Best for: larger teams that want a platform partner and have someone whose job includes managing that partner. If you have fewer than fifty people, the sales cycle alone will cost more than the problem.
8. Ema — the enterprise end of “AI employee”
Ema uses the phrase most literally: AI employees that own workflows across HR, IT and finance, with a named recruiting agent, on-premises deployment options, role- and attribute-based access control and immutable audit trails. Pricing is described as outcome-based and is not published. It is worth understanding even if you will never buy it, because Ema is where the category’s language comes from, and it explains why so much “AI employee” marketing sounds like it was written for a CIO. It was.
Best for: enterprises with governance requirements and a procurement process. Explicitly not an SMB product.
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Which of the four shapes do you need?
- A content factory. The job is producing drafts — posts, emails, listings, product copy. Sintra is built for exactly this and costs the least. Do not buy an agent platform for it.
- A builder. You have a specific multi-step workflow in your head and someone who will maintain it. Lindy, or Copilot Studio if the data lives in Microsoft 365.
- A managed assistant. The job is “handle the incoming, act on it, keep the systems in sync” and nobody wants to maintain a builder. Nora is my answer to this; Vellum is the technical operator’s version.
- An enterprise platform. Governance, audit trails, on-premises. Ema, Relevance AI, Agentforce.
Two questions cut this faster than any feature table. Can it act, or only draft? and who owns it in month three? Nearly every failed rollout I have been called into failed on the second one.
What these platforms cost once you include the parts nobody prices
The subscription is rarely the real number. Model usage is billed separately on most of these — Nora is the exception, since its price now covers fair-use Gemini 3.7 Flash — and the setup hours, the internal owner, and the month-one corrections are on you in every case. I broke that down properly, with the four costs vendors leave off the page, in what an AI employee really costs in 2026. If the question is narrower — a single assistant for a small company rather than a workforce — the numbers are in AI assistant cost for small business.
The other cost nobody quotes is integration. Every platform above advertises a connector count; none of them explain month one, when logins expire quietly, permissions turn out to be scoped far too wide, and two of your tools have no usable API at all. That is the subject of connecting an AI assistant to your business tools, and it is worth reading before you sign anything annual.
If you want to see what a deployment looks like end to end rather than in a pricing table, how I set AI employees up walks through the actual sequence.
When none of these fit, and you should build instead
Buying beats building most of the time, and I say that as someone who sells builds. Commission a custom system only when one of three things is true: the work depends on a system none of these platforms integrate with, the data genuinely cannot sit on a vendor’s infrastructure, or the per-seat or per-conversation meter is attached to a number that is about to grow much faster than your headcount.
If that is you, the cost estimator gives a realistic range in about thirty seconds, and custom AI for small business describes what that engagement looks like at SMB scale. If it is not you, take the free trial on whichever platform above matches your shape and spend the money elsewhere.
Common questions
What is an AI employee, actually?
A managed AI agent that owns a recurring job rather than answering one question at a time. The distinction that matters commercially is whether it can act — read your inbox, update the CRM, send the reply — or only draft text for a human to paste. Platforms that only draft are assistants with a better name.
How much does an AI employee cost per month in 2026?
Published self-serve pricing in August 2026 runs from about $16 a month per specialist helper at the discounted annual end (Sintra AI) to $29.99-$199.99 per user per month on credit-metered platforms (Lindy), with Nora at $75 a month flat. Enterprise platforms such as Ema and Relevance AI publish no price at all. The headline figures are not like-for-like: model usage is billed separately on top of most of them, while Nora now includes fair-use Gemini 3.7 Flash in its price.
Do AI employee platforms replace staff?
Not in any deployment I have run. They absorb the repetitive middle of a role — triage, data entry, first-draft replies, chasing — and hand the judgement calls back. The honest measure is hours returned to a named person each week, not headcount removed.
Should a small business buy a platform or commission a custom build?
Buy first. If a $75-a-month product covers the job, a custom build is a worse deal in every dimension. Commission a build when the work depends on a system nobody integrates with, when the data cannot leave your infrastructure, or when the platform fee scales with a number that is about to grow fast.