Fleece AI vs Viktor: where should the work happen?
Both put autonomous AI agents on real work across your tools. The difference that matters is where you meet them — and what you can see once they start.
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Viktor is an AI employee designed to live in Slack and Microsoft Teams, and its pricing is workspace-based with shared credits. Fleece AI runs in its own workspace: you chat, build agents and watch every run without adding a chat platform first. Choose Viktor if your team already lives in Slack. Choose Fleece AI if you want the work, the audit trail and the billing in one European app.
By Loïc Jané · Updated August 10, 2026
Two takes on the same idea
Viktor, built by Zeta Labs, describes itself as "the AI employee that lives in Slack and Microsoft Teams, connects to 3,200+ tools, and does the work". That is a clear and deliberate choice: the assistant meets you where your team already talks, and the chat platform is the front door.
Fleece AI makes the opposite choice. The workspace is the product: you brief agents in the app, give them a hierarchy, put them on a schedule, and read back every step they took. Integrations reach 3,000+ apps through the same connector layer, and Slack is one of them rather than the way in.
Neither is a workflow builder. Both replace the node-wiring generation of automation tools with agents you delegate to. So the honest comparison is not about capability lists — it is about where the work happens, what you can inspect afterwards, and who you are buying from.
Fleece AI vs Viktor at a glance
Every Viktor cell below is either quoted from their public pages or observed on a real Viktor account on 7 August 2026. Where we could not verify something, it is not in this table.
| Criterion | Fleece AI | Viktor |
|---|---|---|
| Where you work with it | Its own workspace — chat, agent board and run history in the app. Slack, Teams and 3,000+ other tools connect as integrations. | Positioned as "the AI employee that lives in Slack and Microsoft Teams" (their own homepage). |
| Chat without a chat platform | Available from the first minute, before any integration is connected. | On a Teams-based account tested on 7 Aug 2026, the web chat returned: "Chat isn't switched on for this account. Viktor reads and replies through your team's Slack." Their page adds that how Viktor is set up for your team decides whether chat is offered. |
| Model choice | Pick the model per agent from a catalogue that spans GPT-5.6, Claude Opus 4.8, Kimi K3 and Mistral, and see which one ran each step. | Model settings are configurable at workspace level — their academy dedicates a lesson to "Model Settings: Control How Viktor Thinks". |
| Delegation | Manager agents split a goal across specialist sub-agents, up to three levels deep, and merge the results into one answer. | Agents are configured and run per workspace. |
| Audit trail | Every run records its steps, tool calls and results, with approval gates before anything irreversible. | A usage page reports consumption per workspace. |
| Pricing model | Plans from €49 to €199 a month, billed in euros, with credit packs on top. | Workspace-based credits, explicitly not per seat: "Your team shares the same workspace credits." Unused monthly credits roll over for one month. |
| Who you buy from | Fleece AI SASU, a French company, billing in euros under EU consumer law — including the statutory right of withdrawal. | Viktor, by Zeta Labs, priced in US dollars. |
Choose Fleece AI when
- You want to start working with agents today, without standing up a Slack workspace or getting an admin to approve an app first.
- You need to show someone what an agent did — every step, every tool call, every result — rather than trust a summary.
- Different jobs deserve different models, and you want that decision per agent instead of per workspace.
- One goal should become a coordinated team of agents rather than a single assistant working alone.
- You are in Europe and would rather buy in euros, from a European company, under European consumer law.
Choose Viktor when
- Your team genuinely lives in Slack and has no intention of leaving it — an assistant that answers in the channel you are already in is a real advantage, and that is precisely what Viktor is built for.
- You want a workspace-wide credit pool with no per-seat maths, and your finance team is comfortable buying in US dollars.
You do not have to pick blind
Run one real job through both. Give each the same brief — triage yesterday's inbox, prepare Monday's report, clean up the pipeline — and compare two things: what came back, and how much of the reasoning you can still see an hour later. Fleece AI starts with a 4-day trial, and nothing your agents do irreversibly happens without your approval.
Fleece AI vs Viktor — frequently asked
Yes, for the same job: autonomous AI agents that do real work across your tools rather than only answering questions. The main difference is where you meet them. Viktor is designed around Slack and Microsoft Teams; Fleece AI runs in its own workspace and treats chat platforms as integrations.
No. Chat, agents, scheduled automations and run history all work in the Fleece AI app before you connect anything. Slack and Microsoft Teams are available as integrations among 3,000+ others if you want them.
Yes. Each agent is pinned to a model — the catalogue spans GPT-5.6, Claude Opus 4.8, Kimi K3 and Mistral — and the run history shows which model executed each step, so a slow or expensive agent can be retuned individually.
Viktor sells workspace credits shared across the team, with no per-seat charge, priced in US dollars. Fleece AI sells monthly plans from €49 to €199 billed in euros, with credit packs available on top. Which is cheaper depends entirely on your volume, so compare on a month of real usage rather than on list prices.
Yes. Fleece AI is a French SASU, bills in euros, and operates under EU consumer law — including the statutory right of withdrawal, which is available in the product without going through support.
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