Govern how agents build and deploy software — with approvals, artifacts, and policy controls across every team.
Teams across your organization use different agent workflows, different tools, and different prompts. Agencies and internal teams produce inconsistent quality. Nothing is auditable.
Approvals are scattered across Slack threads and email. Deployment credentials are uncontrolled. There is no central record of what ran, what was approved, or what evidence was produced.
Until agentic development is governed, it stays a liability — not a capability.
Every stage is explicit. Every transition requires approval. Every run produces evidence.
Ingest PRDs and specs. Decompose them into tracked issues and jobs. Work enters the system structured.
Work flows through explicit stages: spec, design, build, QA, release. Each stage has defined inputs, outputs, and approval gates.
Humans remain in the loop. Durable approval records gate every major transition. No stage advances without explicit sign-off.
Every run captures evidence: code diffs, test results, deploy logs, review notes. Attached to stages, reviewable by operators.
Control which tools, runtimes, and MCP servers agents can use — by stage and team. Constrain deployments to approved targets.
See run history, blocked work, approvals, and outcomes across repos and teams from a single control plane.
Workflow orchestration, approvals, artifacts, policy, and operator dashboards.
Stage execution, repo access, secrets, and tools — inside your infrastructure.
Agentic development only becomes credible when it is governed.
Without explicit governance, AI-assisted delivery devolves into prompt theater. The control plane makes governance structural — not aspirational.
Every approval is recorded with who, when, and what was approved. No Slack-thread sign-offs.
Every execution produces a structured run record with inputs, outputs, duration, and status.
Artifacts — diffs, test results, deploy logs — are attached to workflow stages automatically.
Runtime, tool, and deployment behavior is controlled by policy. Agents operate within defined boundaries.
Sensitive execution stays inside customer-controlled infrastructure. Code and secrets never leave your boundary.
Repository allowlists, credential scopes, and environment gates ensure deployments target approved infrastructure only.
Give the harness a product spec and get back a live application — deployed to Vercel, with Supabase provisioned only when the app requires backend capabilities.
The near-term promise is concrete. The governance is structural.
Paste a product spec or PRD. The system ingests and decomposes it into tracked work.
The harness runs through spec, design, build, QA — with approvals and evidence at every stage.
The app deploys to Vercel under policy controls. Supabase is added only when needed.
agentic-harness is now open source. The pipeline engine behind Foundary — MIT licensed, agent-agnostic, production-tested.
Start with one app or one workflow. Expand to platform-level governance as trust is established.
Run the new-app factory on one spec. See the governed workflow in action, review artifacts and approvals, and validate the deployment model.
Onboard additional teams and repos. Configure runtime policies, approval flows, and deployment targets. Our team supports rollout.
Establish the control plane as the standard for agentic delivery across your engineering organization. Centralized policy, enterprise-wide visibility.
We're onboarding design partners who want to standardize agentic software delivery under explicit governance. If you lead platform engineering, developer productivity, or engineering excellence — let's talk.
We'll reach out personally to schedule a walkthrough.
Expect a personal response within 48 hours
to schedule your demo.