Ship with AI, without losing the decision trail

Engineering teams are already delivering with coding agents. TaskForce governs the decisions around them — turning an outcome into a validated run, keeping the reasoning, and putting a human on every step.

Run your first workflow See the run

The problem

AI made generating code cheap. It didn't make the decisions cheaper.

Your team can produce a spec, an approach or a pull request in minutes now. What still costs you is the chain around it: why this approach, what it trades off, what it conflicts with, who signed off — and where that reasoning goes once the PR is merged.

Today that context lives in threads and people's heads, and it evaporates at every handoff. TaskForce keeps it: every decision has a reason, a human approves it, and the next run starts from what was actually decided.

What a run looks like

From an outcome to a reviewed delivery

You describe the outcome. Specialized agents work the path; your team approves each checkpoint; your coding agent builds it.

Full intent-to-deploy orchestration is Planned; the board, smart assignment, approvals, memory and analytics ship today.

Fits your stack

It sits on what you already use

Your board and repo

Boards, issues and cycles in real time, alongside the repositories your team already ships from.

Collaboration

Your coding agents

Claude Code, Cursor or Copilot are assignees like anyone else — routed the work, reviewed the same way.

Smart Assign

Your decisions, kept

Architecture calls, trade-offs and rejected alternatives stay as context the next run can read.

TaskForce Memory

Your delivery, measured

Throughput, resolution time and workload from the board itself — plus where work gets sent back.

Analytics

Give TaskForce one outcome

Take something you were going to spec by hand this week, and see the governed run come back. Free to start.

Run your first workflow Book a demo