Serve more clients. Agents handle the prep and follow-up.

Put research, client reporting, and follow-ups on rails so billable hours go to the work, not the admin, with every client-facing step approved by you.

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Live 198 tasks completed in the last 7 days $0.54 median cost per task 70% approved without human action

Tasks

Up next

2
Medium TAS-1 Research the client's market shift

Client engagements

Operations agent

Client engagements

Medium TAS-2 Prepare the workshop brief

Client engagements

Operations agent

Client engagements

In progress

2
Low TAS-3 Draft the weekly client update

Client engagements

Operations agent

Client engagements

Workflow active

Low TAS-4 Follow up on open decisions

Client engagements

Operations agent

Client engagements

Workflow active

Done

2
Medium TAS-5 Summarize stakeholder interviews

Client engagements

Operations agent

Client engagements

Medium TAS-6 Archive the approved deliverables

Client engagements

Operations agent

Client engagements

Run the work without babysitting every agent

Start work in Chat, handle questions, approvals, and proposals in Inbox, and open Tasks when you need to steer the details or review the full history.

Plan the work and start it from Chat

Talk through the outcome, make a plan, and create the tasks, workflows, playbooks, and company knowledge that follow, all from Chat.

Work through the idea

Discuss the outcome, tradeoffs, and missing details before creating the work.

Create from Chat

Turn the result into tasks, workflows, playbooks, and Library documents from the same conversation.

Keep company context

Bring goals, projects, people, agents, and company knowledge into the discussion when needed.

Handle what needs you from Inbox

Questions, approvals, and proposals arrive with the context and actions needed to handle them. Routine work continues while Inbox holds the items that need your attention.

Questions

Give agents the missing answer so they can continue the work.

Approvals

Review work that needs your sign-off, then approve, reject, or request changes.

Proposals

Review changes agents suggest before anything is created or changed.

Steer every task from plan to completion

Each task keeps its plan, current state, decisions, and history in one place. Blast-radius review shows the potential impact before an agent begins.

Review the plan

See what the agent intends to do and what a finished result must include.

Check the blast radius

Understand how far the work could reach before the agent begins.

Keep the full history

Return to the task for its decisions, comments, runs, and results.

Connect the tools your company already uses

Agents can work through the services your workflows already depend on. Vault keeps credentials encrypted, and agents receive only the access you approve.

Existing tools

Connect agents to the services and accounts your workflows already use.

Encrypted credentials

Saved secret values stay encrypted and cannot be revealed after saving.

Access needs approval

Grant access once, for a limited time, or indefinitely.

Build a team of humans and agents

Give every agent a clear role alongside the people already doing the work. Task Machine can propose another specialist when the work needs one, but the team only changes after you approve it.

Humans and agents

Keep people and agents working from the same tasks, workflows, and company context.

Team leads

Choose a human or agent to coordinate the team and route work to the right teammate.

Team proposals

Let agents suggest a missing specialist while you decide who joins the team.

Decide what each agent can do on its own

Set a workspace default, override it for goals, projects, or individual agents, and cap it for individual workflow steps. Agents can earn a proposal for more autonomy through approved work, but you decide whether their level changes.

Autonomy at every level

Choose a workspace default, then change the limits for goals, projects, agents, or workflow steps that need tighter control.

Approval where it matters

Let agents handle routine actions while important work still waits for your sign-off.

Learned autonomy

Approved work can support a proposal for more autonomy, but only you can apply it.

Put recurring work on repeat

Turn the way your team already handles the work into a workflow humans and agents can run again. You can see what happens along the way and decide where a person needs to step in.

Same workflow every time

Keep recurring work consistent even when different people or agents handle the steps.

Human checkpoints

Let routine steps continue and pause only when a decision needs a person.

Reviewed improvements

Check proposed changes before a new workflow version starts running.

Give each agent the context it needs

Store shared company knowledge in Library and give each agent its own memory for guidance it should carry across tasks. Your team can review and update that context instead of repeating it in every conversation.

Shared knowledge

Keep reusable company knowledge available to people and agents across the workspace.

Memory for each agent

Carry useful guidance from one task into the next without repeating it in every conversation.

Controlled access

Choose which roles, people, agents, or teams can read or manage each Library folder.

Avoid surprise costs from agent work

See when work runs, how long it takes, and what it costs. Set budgets around the work that matters, and Task Machine checks those limits before each new run starts.

Work Timeline

See what ran and when across your work without opening every task.

Every stage in view

See how long planning, implementation, review, verification, and follow-up each took.

Scoped budget limits

Set separate budgets for a workspace, goal, project, team, agent, task, or workflow.

We use Task Machine to run Task Machine

Pulse shows what our agent team gets done, how often it works autonomously, and how little each task costs. The numbers come from the real work behind this company.

Open Task Machine Pulse

Live tasks

2

Tasks completed

Last 7 days

198

Task cost

Median cost per task

$0.54

Autonomy

Agent work approved without human action

70%

Fabian Schucht
“Building is the easy part. Marketing, support, and sales follow-ups kept slipping. I built Task Machine to cover those weak spots with agents I still control. Now I get more done and stay focused on strategy.”

Fabian Schucht

Founder, Task Machine

More about why I'm building this