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Your coding agents and delivery tools stay. ClrSlate governs them.

Agentic executionwith enterprise discipline.

We built ClrSlate to bring the discipline enterprises already run on (owners, decision rights, reviews and evidence) to AI agents, so agents carry the coordination and people keep the decisions.

Invoicing service agent · #payments-eng

Not this one: schema changes are Ana’s to decide. She has the packet.

agentTests pass; the migration adds a column and backfills it
rulesENG-R08: schema changes are beyond the service owner’s limit

Waiting on Ana Okafor · Head of platform

REQ-2214 · Schema change: invoicing service

Approve and mergeApprove with a condition

Escalation matrix

Database schema change

  1. Service ownerabove her limit

    Sofia Brandt · up to changes inside the service

  2. Head of platformdecides · waiting

    Ana Okafor · up to additive and reversible

  3. CTO

    Daniel Ruiz · up to anything above

A vacant seat is skipped to the next one up.

Why now

Agents now produce plans, code and decisions faster than any team can review them. Enterprises already run unpredictable actors at scale: people, through roles, reviews and a chain of command.That discipline has not reached agents. ClrSlate brings it to them.

A seat is a role a person and an agent hold together; the escalation matrix says who decides above each limit, seat by seat.

Your coding agents answer “can it do the work?”.Nobody answers “who owns what it does?”. A chain of command does.

  1. A request

    REQ-2214 · a schema change on the invoicing service

  2. A rule

    ENG-R08 · above the service owner’s limit

  3. Up the escalation matrix

    CTO

    Daniel Ruiz

    Head of platformdecides

    Ana Okafor

    Service ownerabove her limit

    Sofia Brandt

  4. Decided

    Ana Okafor approves, with a condition

  5. Carried out

    Through your tools and coding agents

  6. On the record

    DEC-0917 · who asked, which rule, who decided

Illustration · Halden, a fictional company

Your coding agents know your code.Give them your organization.

The layer above the agents you already run: which seat each works in, whom it answers to, and when it must ask.

Your agents, from whichever vendors you chose

  • Coding agents · one vendor
  • Coding agents · another vendor
  • Agents you built

Your tools, where they are

  • Issue tracker
  • Repositories
  • CI/CD
  • Chat
  • Incident tool
  • CRM

Model how you operate.

Your functions, seats, jobs and who decides, as you run them today.

Organize

REQ-3310 · payouts staging

Four parts, four seats

  • Identity client and rolesLars Nilsen and agentIdentity team
  • Namespace and quotaNadia Petrova and agentKubernetes platform
  • Where it deploysDelivery destinationGitOps
  • How it deploysPipeline environmentCI/CD

A day with an agenton your team.

Each step is one moment: who carries it, and who decides.

A Tuesday at Halden, a fictional software company, with an agent in the invoicing service’s seat beside Sofia Brandt.

OwnersDecision rightsReviewsEvidence

08:40Tue

1 / 8
HA
Requests New request
All 5Needs your attention 1

REQ-2214Schema change: invoicing service

Payments · opened from the repository

New

REQ-2211Dependency upgrade: auth library

Platform

Needs Ana

REQ-2209Release 4.12 readiness

Release

In progress

REQ-2203Incident follow-up: payouts delay

SRE

Running

REQ-2198Access: contractor to staging

SRE

Done

Illustration · Halden, a fictional company

Works in the toolsyou already run.

We build a working model of your organization from the tools you already run, without asking you to change how you operate.

  • GitHub
  • GitLab
  • Azure DevOps Boards
  • Jira
  • Linear
  • GitHub Actions
  • Claude Code
  • GitHub Copilot
  • Cursor
  • PagerDuty
  • Datadog
  • Okta
  • Microsoft Entra ID
  • Microsoft Teams
  • Notion
  • HubSpot
  • Kubernetes
  • Anthropic
Your stack, every tool

How it plugs in

No new inbox, no new tool to learn.

  • 01Connects to your repositories, trackers and chat as an app
  • 02Holds a decision as a check the owner clears
  • 03Asks the owner where they already work, and carries out what was decided

Owners, decision rights,reviews and evidence.

The four disciplines your organization runs on, kept without the chasing.

  • Owners

    Every job has an owner

    • Name an owner for every service and recurring job
    • Give each seat a person and an agent
    • Cover the seat when its person is away
    • Hand work over when people change teams
    • Know whom each agent answers to
    • Find an owner for the request nobody took

    REQ-3310 · payouts staging

    Four parts, four seats

    • Identity client and rolesLars Nilsen and agentIdentity team
    • Namespace and quotaNadia Petrova and agentKubernetes platform
    • Where it deploysDelivery destinationGitOps
    • How it deploysPipeline environmentCI/CD
  • Decision rights

    Who decides is written down

    • Write down who decides what, up to where
    • Route each decision to the person who holds it
    • Escalate when a change is above a limit
    • Skip a vacant seat to the next one up
    • Stop an agent at a decision it may not take, or stop all of them with one switch
    • Let agents decide inside limits you set, per job

    REQ-3310 · payouts staging

    Above the standard quota

    agentNamespace prepared with quota, network policy and access
    rulesPLT-R04: capacity above the standard quota is spend
    escalationSent to Ana Okafor with the numbers and the reason

    Waiting on Ana Okafor · Head of platform

    Cluster capacity increase for payouts staging

  • Reviews

    Work crosses a review

    • Check a change against policy before it merges
    • Keep the rules versioned
    • Review a change to a procedure
    • Ask for changes and follow them up
    • Review the coding agents’ work, not only people’s
    • Notice the rules that keep escalating

    REQ-3310 · payouts staging

    Checked against the blueprint

    agentChecked against the environment blueprint
    rulesPLT-R01: the request fits the blueprint
    agentFour parts sent to the seats that own them
  • Evidence

    Every decision leaves a record

    • Record who decided, and under which rule
    • Keep what the agent read and checked
    • Link a decision to the ticket, the merge and the deploy
    • Answer an auditor from the record
    • Show leaders what is waiting on people
    • See from the record which rules to change

    Ask the record

    One limit, and why

    Asked
    Why does payouts staging have a larger quota?
    Answer
    Ana Okafor approved it for large batches, to be reviewed after a month
    Records
    REQ-3310 · DEC-1104 · PLT-R04

Illustration · Halden, a fictional company

For founders. For engineering leaders.One platform.

  • Startups

    For founders who decide what matters and let agents carry the rest.

    Founder’s desk

    Waiting on your word

    • A post in your nameFounder brand seat · drafted by its agentYour approval
    • Which concept becomes the live pagePublic website seat · options preparedYour decision
    • A follow-up to a demo requestSales development seatSent by its seat

    Waiting on Piyush Rathi · Founder

    A post in your name, drafted by the founder brand seat

    ApproveAsk for a change
    How a founder-led company runs on ClrSlate
  • Enterprise

    For engineering and IT leaders who run coding agents across teams, on their own terms.

    Your repository host · invoicing-service

    Add entity column with backfill #4812

    • TestsPassed
    • Security scanPassed
    • CClrSlate · waiting on Ana OkaforRequired
    MergeMerging is blocked until the owner decides
    How an engineering organization governs its agents

Early Access

Already running with pilot partners.Open to your company before the public release.

  • Engineering teams and founder-led companies run ClrSlate in pilot today.
  • Early Access opens it to your company before the public release in December 2026.
  • Apply, and we reply within one working day.

Questionswe expect first.

All questions
Is this open to use today?

Yes, through Early Access. Engineering teams and founder-led companies run ClrSlate in pilot today, and Early Access opens it to your company before the public release in December 2026. Apply, and we reply within one working day to set a time.

Is this another AI agent platform?

No. There are plenty of ways to build an agent. ClrSlate is the layer above them: it says which seat an agent works in, whom it answers to, what it may decide and when it must ask a human. The agents themselves can be the ones you already run.

Our coding-agent platform already has roles, approvals and audit logs. What does ClrSlate add?

Those controls govern one vendor’s agent inside the pull request: who may run it, what it may touch, and a log of what it did. ClrSlate answers the question they leave open: who in your organization owns what the agent does, who decides when it is above a limit, and where the decision is on the record. It does that for every agent you run, from whichever vendors you chose, under one chain of command, and across the work that happens outside the repository: strategy, roadmap, releases, incidents, customer escalations, audits. Keep the platform; give its agent a seat.

Start with howyou run today.

Bring one piece of work that breaks at the handoffs: a pull request waiting on three reviewers, an initiative spread across twelve tools, a release nobody owns. We model the seats it crosses, give one of them an agent, and follow one decision to its record.

Agents carry the coordination. People keep the decisions.

“I wanted agents to join my company the way everything else does: owned, governed and accountable. That is what we built, and we run ClrSlate on ClrSlate.”
Piyush Rathi · Founder, ClrSlate