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Mission control for AI-powered software delivery.

Set goals. Plan missions. Orchestrate AI agents. Enforce approvals. Ship with confidence and end-to-end visibility.

Mission board · Customer onboarding

Mission Control: Inputs Goals, PRDs, Backlog, Signals, Data. Outcomes Shipped outcomes, Quality confidence, Velocity, Learning. Governance · Guardrails.

  1. Mission planning: Mission planning · Translate goals into actionable missions with owners, scope, and metrics.
  2. Agent runs: Execution visibility · Track agent runs, tasks, progress, and dependencies in real time.
  3. Approval gates: Approvals and gates · Enforce human-in-the-loop review before sensitive changes.
  4. Release readiness: Delivery governance · Build in security, quality, compliance, and operational checks.
  5. Reporting: Executive reporting · Show status, risk, and outcome rollups for stakeholders.
  • Outcomes aligned Every mission tied to business goals
  • Risk controlled Approvals and guardrails by design
  • Delivery accelerated AI intelligence that drives execution

Command every mission. Confidently deliver every time.

Mission Control gives leaders a single operating surface for planning, execution, approvals, and reporting.

Mission capabilities · 6

  • Mission planning

    Translate goals into actionable missions with owners, scope, and metrics.

  • Execution visibility

    Track agent runs, tasks, progress, and dependencies in real time.

  • Approvals and gates

    Enforce human-in-the-loop review before sensitive changes.

  • Delivery governance

    Build in security, quality, compliance, and operational checks.

  • War-room coordination

    Bring people and agents together when blockers appear.

  • Executive reporting

    Show status, risk, and outcome rollups for stakeholders.

Real-time command center for your delivery engine.

See what matters, act faster, and keep every mission aligned, healthy, and on track.

Illustrative interface, fictional data. Mission view. Mission M-0198, "Payment retry flow", moves from intent to release. Planner, Architect, Builder, Reviewer, Security, QA each finish their part and hand the work on; the release drawer ticks its checks, then the human approver signs off.

Goal, plan, execute, approve, release, learn.

A repeatable path for turning intent into governed delivery.

The mission lifecycle. Follow one mission from Goal to Learn. The bar above the robot fills as each step is ticked; at Approve a person signs it off.

  1. 01 Up next

    Goal

    Define outcome and business impact.

  2. 02 Up next

    Plan

    Break down work and success metrics.

  3. 03 Up next

    Execute

    Agents run, build, and test.

  4. 04 Up next

    Approve

    Review progress and quality.

  5. 05 Up next

    Release

    Deploy safely with checks.

  6. 06 Up next

    Learn

    Capture insights and improve.

One mission. Many leaders. Shared outcomes.

Each stakeholder sees the same mission through the decisions they need to make.

Built for every leader · 4

Product Owners

Align roadmaps to business goals and measure what matters most.

  • Prioritize with confidence
  • Track impact in real time

Engineering Leaders

Deliver faster while preserving predictability and code health.

  • Orchestrate AI agents
  • Remove blockers

QA Leaders

Ensure quality at every step with intelligent gates and approvals.

  • Risk-based testing
  • Release with confidence

Executives

Get outcome-level visibility and risk posture at a glance.

  • Portfolio oversight
  • Data-driven decisions

Keep exploring the platform.

  • Platform

    Agent Orchestration

    Coordinate specialised agents with control, context, governance, and human oversight.

  • Platform

    Knowledge & Memory

    Persistent organizational context for every mission, agent, and team.

  • Platform

    Integration Mesh

    Connect tools, data, and workflows into one intelligent enterprise mesh.

Take control of every mission.

Use Mission Control as the cockpit for AI-powered software delivery.