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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.

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

How it plugs in

No new inbox, no new tool to learn.

  • 01

    An app in your tools

    Connects to your repositories, trackers and chat as an app

  • 02

    A check, not a meeting

    Holds a decision as a check the owner clears

  • 03

    Where people already work

    Asks the owner where they already work, and carries out what was decided

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
Drawn as your tool shows it; ClrSlate adds the line that names the owner.

A day with an agenton your team.

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

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

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

Security and deployment

  1. 01Sign in through your identity provider, and no other
  2. 02Every model call through one gateway, including the model provider your enterprise already contracts
  3. 03Hosted in your cloud region; the record stays in your tenancy
  4. 04What an agent may reach is granted per seat, with an end date, and one switch stops every agent
  5. 05What your security team receives in a pilot

Hosting model, retention default, subprocessors, the app’s permissions and certification status: answered in writing in the pilot’s first week.

Security and deployment

Early Access

Early Access, as a pilot.

  • One team, one piece of work, six weeks; what we measure and what your security team receives agreed up front.
  • Free during Early Access; your organization set up within one working day of your security team’s go.
  • A direct line to the founder, and a say in what is built next; Early Access is kept small for exactly that.
  • At the public release you keep what runs, on the plan you choose.

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