See what is proposed.
Understand the scope, assumptions and expected effects before anyone authorizes an action.
The control plane for agent-assisted work
Put AI to work.
Keep people
in control.
GovernKey is an AI agent governance platform in development. Turn work requests into reviewable plans, human approval workflows and bounded actions with independently verified outcomes.
Product preview. For people and teams across your organisation.
FROM REQUEST TO REVIEWED OUTCOME
Cross-team reviewIllustration
EXAMPLE / 014Human review
A small change.
A clear path forward.
Prepare an operating brief for a team decision.
- Understand the requestScope and acceptance criteria captured
- Review the proposed planA person decides before work proceeds
- Work within agreed limitsIsolated changes, bounded permissions
- Verify and hand backEvidence alongside a reviewable outcome
One clear scope. One reviewed plan.
People keep the final say.
People keep the final say.
A preview of the intended experience
Human decisionsBounded permissionsIndependent verificationTraceable outcomes
Work that holds up to scrutiny
More than a finished task.
A reason to trust the result.
Our design brings the work, the decisions and the evidence into one understandable journey.
Decide with context.
Review the evidence and the exact permission being requested. Changed work calls for a fresh decision.
Know what happened.
Follow the result back to its inputs, human decisions and independent checks.
How it works
From a work request
to a result you can check.
The intended journey keeps people involved where their judgement matters. Connected workflows are under development.
Make the work clear.
Set an outcome, agree the scope and review the proposed steps, risks and checks before work begins.
Give permission with limits.
The right person reviews the plan. Tools work within the approved resources, time and permissions. Changed scope needs fresh review.
Check the result.
Independent checks support the handoff. Missing evidence, failures and uncertain outcomes return to a person for review.
One process. Different kinds of work.
From the sales team
to the leadership table.
Different teams need different outcomes. The common thread is clear scope, accountable decisions and evidence that stands up to review.
Explore who it’s for ↗ACROSS YOUR ORGANISATIONLeadership sees the why.
Leadership sees the why.
Teams see the next step.
Everyone sees the evidence.
Sales, operations and leadership examples illustrate the broader direction. Engineering is the first implementation workflow; live integrations remain under development.
Leadership
Prepare an operating brief with source evidence, missing information and decisions that need an owner.
Sales
Draft a customer renewal review from approved account context. Keep commitments and outbound messages with the account owner.
Operations
Bring a supplier exception into focus: what happened, what is missing and which next steps need a decision.
Engineering
Take a bounded change through a reviewable plan to a draft pull request with checks. Merge and deployment stay outside the first workflow.
Illustrative workflows. Engineering is the first implementation; broader team integrations are planned.
Trust & boundaries
Keep authority with people.
Keep the evidence close.
The platform is designed to check identity, policy and current context before granting permission. An agent or message cannot authorize itself. Customer data stays within the agreed environment and access boundaries.
Available today: a product preview and tested contract and kernel foundations. Live customer workflows, identity enforcement and production operations are still under development.
Read the platform boundaries and status ↗A few important distinctions
Clear boundaries.
From the beginning.
Is this another coding agent?
No. GovernKey is designed to govern work across replaceable agents and tools. It owns the process and evidence; specialist tools do the bounded work.
What is available today?
This product preview and the platform's tested contract and kernel foundation. Connected customer workflows, identity enforcement and production operations are still being built.
Does it merge or deploy changes?
The engineering MVP ends at a human-reviewed draft pull request. It does not auto-merge, deploy or use production credentials.
Is the product only for engineering?
No. The product is designed for leadership, sales, operations and other teams. Workflow packs provide domain behavior. Engineering is simply the first implementation example, followed by inventory replenishment; broader integrations remain future work.
Plan your pilot
Start small.
Define success clearly.
One useful workflow, one accountable team and a result you can independently check.
Bring a real problem.
Keep the first step bounded.
Shape a candidate workflow with your team: define the outcome, set the boundaries and agree on the evidence you need.
- 01
Name the outcome
What useful result would make this worth doing? Choose something smaller than an entire project.
- 02
Set the boundaries
Which team and system, what data, which permissions and what time or cost limit?
- 03
Name the decisions
Who approves the plan? Who reviews the outcome? Where should uncertain work stop?
- 04
Agree on the evidence
Define the checks, the comparison and the failure cases before the pilot begins.
Talk it through with us.
Send the outcome you have in mind. A person reads every message and replies — no account, no mailing list and no workflow starts from an email.
See the intended experience
What will your team
need to review?
Explore a synthetic example of the decisions, boundaries and evidence before connecting a system.
Open the walkthrough ↗Read-only product preview. No live work is submitted.