The best AI employees, and what separates them
A narrower list than the agent roundup: these are the products sold as somebody you hire rather than something you build. They differ on three things that matter more than feature lists, which is where it lives, whose credentials it uses, and what it is allowed to do without asking.
The short answer
The three questions that decide this are where the work happens, whose credentials it borrows, and what it may do without asking. A product that lives in its own dashboard is a tool your team has to remember to open. A product that runs on a shared login cannot tell you who did what. And a product with no approval layer is one you either trust with everything or use for nothing.
Where we stand: Sanaf AI Solutions is ours and it is on this list. We have tried to write the other entries the way we would want a competitor to write ours, which means each one links to a comparison that states plainly when that product is the better pick.
How this was put together: Not a hands-on test. No trials, no scores, no benchmarks. Every entry is assembled from our comparison page for that product, written from the product’s own published material on the date shown against it, and each comparison links its sources so every claim here can be traced back to the page it came from.
At a glance
| # | Product | Choose it if | Checked |
|---|---|---|---|
| 1 | Sintra AI | You want to open an app, pick a helper, and get something produced in the next ten minutes. | 2026-09-04 |
| 2 | Viktor | Your team already lives in Slack or Teams and wants to delegate varied, one-off desk work by mentioning an assistant. | 2026-09-02 |
| 3 | Sanaf AI Solutions | You would rather have one employee holding several jobs than pay per bot for each one. | 2026-09-04 |
| 4 | Lindy | You like building automations and want full control over every step and prompt. | 2026-09-02 |
| 5 | Runbear | You want several named agents, one per team, each with its own knowledge base. | 2026-09-02 |
| 6 | Dust | You have people who want to build agents, and equipping each of them is the point. | 2026-09-04 |
| 7 | Salesforce Agentforce | Salesforce is already your system of record and your processes are modelled in it. | 2026-09-04 |
The list
1. Sintra AI
Checked 2026-09-04One employee with a roster, or twelve helpers to pick between.
Choose it if
- You want to open an app, pick a helper, and get something produced in the next ten minutes.
- A flat monthly price with no per-person charge is what you want on the invoice.
- Most of your work is producing content and answers rather than acting inside other systems.
- You would rather review every output yourself than set rules about what may happen without you.
2. Viktor
Checked 2026-09-02An employee with a job, or a shared Slack assistant.
Choose it if
- Your team already lives in Slack or Teams and wants to delegate varied, one-off desk work by mentioning an assistant.
- You want to build things: internal tools, dashboards, code, and reports, produced from a chat message.
- You want a very large connected-app catalog and a browser it can drive, today.
- You are comfortable with a bill that moves with how much you use it.
3. Sanaf AI Solutions
Checked 2026-09-04One hire per workspace, holding as many jobs as you give it.
Choose it if
- You would rather have one employee holding several jobs than pay per bot for each one.
- Your team lives in Slack or Microsoft Teams and will not adopt another dashboard.
- You want its own credentials and a work log, so you can tell what it did from what a person did.
- You want to start it in shadow mode and widen what it may do without asking, rather than trusting it on day one.
4. Lindy
Checked 2026-09-02A hired employee, or agents you build yourself.
Choose it if
- You like building automations and want full control over every step and prompt.
- Your needs are mostly personal productivity: your inbox, your calendar, your meeting notes.
- You want an agent that handles voice calls as part of the flows you build.
- You have someone on the team who will own and maintain the agents over time.
5. Runbear
Checked 2026-09-02One hired employee, or a roster of agents you build.
Choose it if
- You want several named agents, one per team, each with its own knowledge base.
- Per-user permissions matter to you: the agent should only see what the person asking can see.
- You need a vendor with its own audit report and identity provisioning today, not on a roadmap.
- You have someone who enjoys building and tuning agents and will own them over time.
6. Dust
Checked 2026-09-04One hire the team shares, or a seat for everyone who builds agents.
Choose it if
- You have people who want to build agents, and equipping each of them is the point.
- Grounding answers in a large body of company knowledge is the main job.
- You want to mix seat tiers so heavy users get more model access than light ones.
- Your headcount is stable enough that per-seat pricing is predictable for you.
7. Salesforce Agentforce
Checked 2026-09-04A hire for any business, or an agent layer for a Salesforce estate.
Choose it if
- Salesforce is already your system of record and your processes are modelled in it.
- You have an administrator who can configure, test and govern agents properly.
- You need agents that inherit the permission model your company already enforces.
- You are buying for a large organisation where a deployment project is normal and expected.
Questions
- What actually makes something an AI employee rather than a chatbot?
- A job it owns, memory that survives the conversation, and the ability to act in your tools rather than tell you what to do in them. A chatbot answers and stops. If it cannot do the work after the answer, the distinction is marketing.
- Is a cheaper AI employee worse?
- Not necessarily, but compare the billing model rather than the headline. Per seat, per workspace and per unit of work behave very differently as a team grows, and the cheapest option at two people is often not the cheapest at twenty.
- Do any of these work in Microsoft Teams as well as Slack?
- Some do and some are Slack only, and a few live in their own dashboard instead. Each comparison says where that product works, because a product your team has to remember to open is a different proposition from one that is already in the channel.