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The platform

Build, deploy, and run the AI work

Three products carry a workflow from scope to production — with owners, release evidence, and a value record attached the whole way.

The model

Build → Deploy → Run

One operating record carries the work across all three.

  1. 1

    Frame

    Scope the work.

  2. 2

    Weave

    Ship with checks.

  3. 3

    Trace

    Run with control.

Capabilities

A catalog by domain and delivery tier

An illustrative slice of the catalog — capabilities ramp independently by domain, marked Starter / Standard / Senior. Not every capability is GA.

Capability catalog

19 capabilities · 6 domains

Illustrative catalog — capabilities shown by domain and delivery tier; not every capability is GA.

  • Engineering Lifecycle

    5/5
    Test generationSeniorAPI design reviewSeniorMigration validationSeniorRelease notesStandardPR checklistStandard
  • Docs & Brand

    3/3
    Docs architectureStandardBrand consistencyStandardDiagram standardsStandard
  • Ops & Media

    3/3
    Runbook generationStandardIncident analysisStandardAsset managementStarter
  • Security

    3/3
    Security reviewStandardCompliance evidenceStandardDependency triageStarter
  • Workflows

    3/3
    Definition-of-ready checkStandardEstimate / sizingStarterPrioritizationStarter
  • Research

    2/2
    Market / competitor scanStarterRoadmap evaluationStarter
Integrations

Connect the systems the work touches

GitHub is live today; the rest are on the roadmap via MCP and Nango. Status is shown per connector — no implied breadth.

100+ integrations, powered by Nango

HubSpot
Salesforce
Pipedrive
Close
Productive
Monday
Asana
Basecamp
Jira
Linear
GitHub
GitLab
Shortcut
Slack
MS Teams
Discord
Notion
Confluence
Google Docs
QuickBooks
Xero
Stripe
BambooHR
Gusto
Rippling
Harvest
Toggl
Clockify
Claude MCP
OpenAI
HubSpot
Salesforce
Pipedrive
Close
Productive
Monday
Asana
Basecamp
Jira
Linear
GitHub
GitLab
Shortcut
Slack
MS Teams
Discord
Notion
Confluence
Google Docs
QuickBooks
Xero
Stripe
BambooHR
Gusto
Rippling
Harvest
Toggl
Clockify
Claude MCP
OpenAI
By role

What each executive gets back

The same operating record, read four ways — the pain, the question, and the deliverables per role.

  • CTO / Head of AI

    Owns what gets built

    AI-built work outruns ownership, review, and support.

    What is being built with AI, and who owns it once it matters?

    • Included: Output inventory
    • Included: Policy gates
    • Included: Owner map
    • Included: Refusal posture
  • CFO / Audit

    Owns the spend

    AI spend grows faster than the evidence behind it.

    What did our AI workflows cost, save, and put at risk?

    • Included: ROI per workspace
    • Included: Cost attribution
    • Included: Finance-ready export
    • Included: Budget alerts
  • COO / VP Ops

    Owns the operation

    Teams lean on automations no one owns.

    Which AI workflows are running the business, and where do they need support?

    • Included: Command center
    • Included: Variance detection
    • Included: Rolling forecast
    • Included: Engagement health
  • CISO / Risk

    Owns the exposure

    AI reaches sensitive systems before security knows.

    Which output changed what, who approved it, and can we contain it?

    • Included: Provenance
    • Included: Security signals
    • Included: Refusal posture
    • Included: Change trail

See the AI work mapped to your roles

We'll map your first workflow in Week 1 — pricing on the call.