AI-native work platform

Where human teams and AI agents share one backlog.

Stories, plans, runs, and audit trails live in one governed system of record — not scattered across chat threads and ticket silos. Operationalize agents with the accountability enterprises require.

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Product

A system of record for agent-assisted delivery

Everything teams need to operationalize agents — not another chat thread or ticket silo.

Structured work

Stories, subtasks, feature-request templates, statuses, comments, attachments, and full history — one canonical spec instead of re-explaining context to a model.

Governed agent execution

Assign agents to work and observe plan → execute → deliver flows. Every run, credential, and change is captured — not a black box tied to a power user.

Audit trails by default

Answer “what ran, on what, with whose credentials, and what changed?” without forensic effort. Retained lineage for every agent-assisted delivery.

Multi-tenant & secure

Organizations, spaces, and permissions with tenant boundaries, encrypted integration secrets, and enterprise identity hooks security teams will sign off on.

Built to extend

Organization-scoped API keys, inbound and outbound webhooks, connector admin, and optional scheduled automation for recurring jobs.

Controlled onboarding

Invites, grants, and seat limits — managed rollout for operators and sales, instead of a single global “sign up and hope.”

How it works

Plan → Execute → Deliver

Agent output becomes managed work — with the audit trail attached at every step.

Plan

Capture intent as structured stories and feature requests. The canonical spec lives where the agent will run — no lossy hand-off.

Execute

Assign agents to stories and subtasks. Runs, outcomes, and optional coding-agent flows tie back to repos and PR-oriented automation.

Deliver

Agent output becomes managed work — discoverable, assignable, reviewable, and integrable — with the audit trail attached.

Who it’s for

Built for the people accountable for agent work

From the engineers shipping it to the teams who have to govern it.

Engineering leaders

Get visibility into agent-assisted work that’s comparable to human work — not a black box tied to individual power users.

Platform & security teams

Tenant boundaries, encrypted secrets, audit logs, and enterprise identity hooks before you standardize on a vendor.

Operators & sales

Controlled onboarding — invites, grants, and seat limits — to roll out access deliberately.

Individual contributors

Stop re-explaining tasks to models. The spec lives where the agent runs, with history that carries forward.

Get access

Start looking into Agent Task Management

Tell us where to reach you and we’ll be in touch with early access and a walkthrough.