Chat with agents
Talk through strategy and it fans out into tasks. Chat proposes the work and waits for your go-ahead — it never runs the task itself.
Vendor invoices, access requests, and exceptions all route to you. Put the queue on a repeatable workflow: agents check each request against policy, clear the in-policy ones, and flag the exceptions for your call, with every approval left on the record.
Private beta. We invite teams in batches and never share your email.
Hand off a recurring job once, then direct, review, and steer it across three surfaces that share one set of tasks.
Talk through strategy and it fans out into tasks. Chat proposes the work and waits for your go-ahead — it never runs the task itself.
Every approval, question, and finished result lands here. Approve or reject in a click and stay in control.
Open any task to read its history, see the plan, and steer an agent the moment the work needs a hand.
Here is one example, start to finish: your operations approval queue. Task Machine handles any recurring operations work the same way — the same deterministic workflow, the same steps, every cycle.
You hand Task Machine the operations approval queue: check each request against policy, approve the ones within your rules, flag any exception that needs your call, and clear the rest.
Brief it once, it runs on every cycle.
Works with
Task Machine turns your brief into a deterministic workflow — check each request against policy, approve the ones within your rules, and let a verifier confirm every approval matches your policy before anything is issued. The same ordered steps every time, pausing only where a step needs your call.
The same deterministic workflow, every time.
Before it acts, Task Machine weighs how far each step reaches. A request sitting in review changes nothing you can't undo; paying a vendor or granting standing access does. It handles the low-stakes work itself and only brings you the exceptions that genuinely carry weight, so you are never pulled in without a reason.
Low-stakes steps never reach you.
The exceptions that need your call wait in one place for your yes or no, each with just enough context to decide in seconds. Approve or reject, and the workflow carries on — every in-policy request already cleared itself. Nothing that spends or grants access happens without you.
You only receive what needs your attention.
You set a spending cap, and the workflow works inside it, tracking every cost against your limit as it runs. It pauses to ask before it would ever cross that line, so the spend is something you decide up front, not something you discover on a bill.
You always stay in control of your budget.
Every approval you give is evidence. Once Task Machine has your queue calls right often enough, it asks to clear the routine requests on its own — and you grant or hold that step up from your inbox. Independence is earned on a track record, never assumed.
You approve less as it earns your trust.
Partway through, the queue kept surfacing new vendors no agent was set up to onboard. Rather than guess, Task Machine proposed a dedicated vendor-onboarding agent to own it — yours to approve or decline. It grows its own team, on your say-so.
It proposes the hire, you approve it.
Its decisions come from one shared knowledge base — your approval policy, past requests, each vendor's terms — the same source your team and every agent work from, not guesses.
One shared source of truth for every agent and teammate.
You make the exception calls that matter while your agents check and clear the routine requests — and they take on more as they earn it. A team of you and your agents, not a company of bots you rubber-stamp from above.
You sign off. The agents do the rest.
Agents act in the services you already run — every connector is a real integration your agents act through.
A sentence or two about a recurring job is enough. We design the playbook that runs it and show you exactly what it saves.
Join the waitlist and we will send early access when the first private beta spots open.
Private beta. We invite teams in batches and never share your email.