Switch from Viktor to Task Machine

Viktor is an AI employee that lives in Slack and Microsoft Teams: it runs scheduled tasks, creates reports, and connects to thousands of tools, all from the chat your team already has open. Task Machine also starts from chat — but chat is one of three surfaces, backed by tasks and verified runs. The difference is structure: in Task Machine, recurring work runs as deterministic, verifiable workflows, approvals land in one inbox, and durable tasks hold the work itself. People switch when the work outgrows the thread it was living in.

Why do people switch from Viktor?

• Chat threads are not a system of record. A channel mixes updates, questions, and results, and it all scrolls away. Task Machine keeps durable tasks with the output, the discussion, and the step-level run history attached — findable long after the thread has moved on.
• Approvals deserve their own surface. In Task Machine, approval and question steps from every workflow land in one shared inbox, so what needs your judgment is a queue you clear, not messages you hope you saw.
• A report should come with its run. Task Machine work runs as deterministic, verifiable workflows — explicit steps with verifier checks — and every run has step-level history, so you can see how a result was produced, not just read it.
• Three surfaces, each doing one job. The three-surface workflow (chat, inbox, tasks) separates directing work, approving it, and digging into it, instead of pushing all three through a message stream.

What maps to what?

What do you give up?

Viktor lives natively in Slack and Microsoft Teams today, and that convenience is genuine: no new surface to open, work happening where the team already talks, near-zero adoption cost. Task Machine asks you to adopt an operating layer, and that is only worth it once the work needs structure — recurring workflows, real approvals, and a system of record. If a chat-native assistant covers everything you ask of it, the convenience argument is a fair one.

How does the switch work?

1. List the recurring jobs running through chat — the scheduled reports, the standing requests — and note which ones you later dig through threads to find. Those are the candidates.
2. Join the Task Machine waitlist, connect the accounts those jobs touch, and pick matching playbooks — the catalog covers 123 playbooks across 17 categories.
3. Rebuild each candidate as a workflow: agent steps for the judgment, an approval step where you want the final say, a verifier step where the output has to meet a bar.
4. Run a cycle, review from the inbox, and compare against the old thread using the step-level run history before turning the chat version off.

Common questions

Does Task Machine live in Slack or Teams?

No — Task Machine is its own operating layer with three surfaces: chat, inbox, and tasks. That is the trade: less embedded than Viktor, more structured underneath.

Is chat still part of the workflow?

Yes, and it stays the fastest way to direct work. The difference is what backs it: chat instructions become tasks and workflow runs with history, rather than messages in a channel.

Do agents act without my approval?

Only where you allow it. Each agent has an autonomy level, the default routes consequential actions to your inbox, and token and money budgets alert you at 80% and 100%.