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Your AI company. Under your direction.

AI agents work your tickets. You approve what ships.

ORGrove runs a team of AI agents (product manager, developer, QA, security and DevOps) through a controlled delivery pipeline on GitHub. You approve the merge and the release, and you see who is working, on what, and what it costs.

Real capture of the ORGrove 3D Office

Why it matters

The risks we address

As AI produces more software, organisations need clear controls over scope, review, cost and operational outcomes.

Unplanned change
A fix that breaks something next to it; work redone several times.
Unreviewed code
Security holes, leaked secrets, weak tenant isolation.
Silent failure
A scheduled job stops and nobody notices for weeks.
Runaway cost
AI and cloud bills with no owner and no cap.
No audit trail
Nobody can say who decided what, and why.
Lock-in
A process tied to one vendor's tools.

ORGrove addresses these risks through planning, separate reviews, deterministic checks, live monitoring, agent budget gates and an evidence trail on each ticket.

How it works

Eight delivery stages, with people at the gates

ORGrove assigns defined roles to agents and moves each ticket through a controlled delivery pipeline.

Amber marks a human gate: a person decides before the work moves on.

  1. 1

    Ticket

    A request is recorded in the tracker with an accountable owner.

  2. 2

    Plan

    The product manager writes scope, acceptance criteria and the definition of done on the ticket, and asks the owner when a decision is theirs.

  3. 3

    Build

    A developer works on an isolated branch and adds tests.

  4. 4

    QA and Security

    Separate read-only reviewers evaluate the same commit; findings return to development.

  5. 5

    CI gates

    Tests, lint and scans must pass against the current main branch.

  6. 6Human gate

    Human merge

    A person assesses the evidence and merges the reviewed change.

  7. 7Human gate

    Authorised deployment

    The release follows the owner's production authority.

  8. 8

    Sanity check

    A read-only sanity check verifies the live result.

The Office

See your AI organisation at work

Walk through your AI organisation the way you would walk through a real office: who is working, on what, and what each agent is waiting for.

When the team is between tasks, the CTO cabin shows why, from the dispatcher's own decision: a budget cap, a question for you, a work-in-progress limit, a break, or nothing planned.

Call a meeting and tag who should answer. Each tagged lead replies as a separate AI call, and the meeting ends with minutes, decisions and draft tickets that wait for your approval.

Safeguards

Safeguards that cannot be configured away

Organisation-specific choices are expressed through configuration while core safeguards remain mandatory.

Status

What is live and what is coming

As of 28 October 2026

Live
Capability
Ticket-to-deploy pipeline with independent QA and Security review and a human merge
Budget ledger, per-run limits, daily and monthly caps
Deterministic CI gates, protected paths, OIDC cloud access, secret scanning, pinned supply chain
Daily ops health, escape loop, finance reports across AI, GitHub and AWS
Office 2D/3D, "why the team is between tasks", typed leadership meetings with voice
Coming
CapabilityStatus
One planning agent per project; automatic branch updates for agent PRsIn progress
Jira, GitLab, Azure DevOps, Bitbucket and Linear adaptersPlanned
Claude through Bedrock or Vertex; Slack and Teams notificationsPlanned
Self-hosted package with setup wizard; hosted (SaaS) editionPlanned
Marketing, sales and operations departments; team leads with escalationPlanned

This is OpsVision's own report of its operating environment on GitHub and AWS. OpsVision is both the publisher and the first internal user. It is not independent assurance or certification. Source: ORGrove Enterprise product paper (How We Build: Process, Practices and Safeguards), version 1.2, section 13.

Early access

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