Platform
One platform,six parts.
Agents arrive without an organization around them: nobody owns what they do, nobody decides above a limit, nothing is on the record.
Organize
Agents arrive without an organization around them: nobody can say who owns what they do or who decides when they are wrong.
A seat is a role a person and an agent hold together; the escalation matrix says who decides above each limit, seat by seat.
See organize at workThe org chart as it runs
Your organization modelled the way it runs today: its functions, teams and seats, not a new way of working.
A seat for a person and an agent
Every seat on the org chart is designed for two owners: a person who answers for it and an agent that does its work.
Decision rights, per job
Who decides what, up to where, and above that whom, written down before the work starts.
The escalation matrix
A decision above a limit goes to the named seat that holds it, up your chain of command; a vacant seat is skipped to the next one up.
How much an agent may decide is yours to set
Per job and per function, from asking every time to deciding within the limits you write down, with anything above going up your escalation matrix.
A blueprint that runs on ClrSlate alone
For a company with no stack yet: the same organization model, with the platform's own requests, board, knowledge and model gateway doing the work until there is a stack to connect.
Blueprints to start from
Org models, golden paths and playbooks that show how AI-native organizations are structured, to start from and grow into.
Procedures with an owner and a version
The procedures you already follow, with an owner, numbered steps and versions, run by the agent with you at the step that decides.
Roles and functions to start from
Functions with their roles, the jobs they do and who decides, ready on day one and shaped to how you run.
Work
Work crosses teams and tools and loses its owner at every handoff; decisions wait, and nobody can say afterwards who made them or why.
See work at workRequests with an owner
Every piece of work is a request that lands on the seat that owns it; its sub-requests go to the seats that own each part.
A decision record, not an activity log
Who asked, who prepared, which rule applied, who decided and what was done, linked across the ticket, the merge and the deploy.
A desk and a morning brief
Each person starts the day from what was decided, what waits on people, and what needs them, prepared from the record.
Ask the record in plain words
A leader or an auditor asks who approved something and why, and gets the decision, not a list of events.
Automations as jobs that run on a trigger
A job that starts from an event in your tools or on a schedule, runs its steps, and asks the owner at the step that decides.
Backlogs and a board
Each team's backlog, with every item owned by a seat, and a board to run the day from.
Initiatives, workstreams and the daily roll-up
One brief becomes workstreams with owner seats on the right teams' backlogs, rolled back up every day with only the decisions that are yours.
Reviews and approvals by the person who owns them
The agent prepares a decision-ready packet; the person who holds the decision approves, approves with a condition, asks for changes or declines; the approval names the action it covers.
Rules you write, checked before work counts
Your rules, in your words, versioned, and checked against every change before it counts; a rule can send a change up the escalation matrix.
The rules learn from the record
When a rule keeps sending the same kind of change up the escalation matrix, the agent proposes the change to the rule; a person decides.
Agents
Each team adopts its own coding agent with its own rules; the company has agents from several vendors and no one chain of command over them.
See agents at workA seat for every agent, whichever vendor
Every agent you run, from whichever vendors you chose, works in a seat on your org chart, answers to a person, and asks when it must.
Coding agents assigned deliberately to work
A coding agent is assigned to a request or a pull request on purpose, by the seat that owns it, and its work comes back through the same gates as a person's.
One switch that stops every agent
If you ever need it, one switch stops every agent in the organization at once.
Skills and playbooks shared across agents
The way a job is done is written once as a skill or a playbook and used by every agent in every seat that does it; replacing an agent keeps the knowledge.
What an agent learns stays with the seat
Operational knowledge belongs to the seat, not to the agent that filled it; replacing an agent keeps it.
Which models each seat may use, through one gateway
Every model call goes through one gateway; which models a seat may use, with what data, is a rule like any other, asked for through a request.
Platform and delivery
A product team waits days for an environment, a database or a repository because nobody knows who owns the request or what the standard is.
See platform and delivery at workA developer portal
One place to find every service, its owner, its docs and how to ask for what it offers.
A package catalog and shared charts
Approved packages, charts and images, versioned by the practice that owns them; consumers adopt on their schedule and are informed, never surprised.
Cloud projects, clusters and databases as requests
A project, a namespace, a database or more capacity is a request with a standard quota, a classification and a decider; inside the standard the platform seat's agent may provision alone.
Environments as a request
A product team asks once for an environment; the request goes to the seats that own each part, the owner of the standard checks the fit, and the owner of the result accepts it.
Golden paths and templates
A new service, app or repository starts on the golden path: the template, the checks and the conventions the practices own, so a team learns one path instead of several standards.
Pipelines and shared workflows with an owner
Shared workflows owned by the practice that keeps them; a change is a new version that teams adopt on their schedule.
Releases approved by the person who owns them
A release carries its changes linked to their requests, its checks and its approval; the owner approves and the pipeline deploys in the window.
Knowledge, security and identity
What a team knows leaves with the person; access and identity for agents are granted by hand; the auditor is answered from memory.
See knowledge, security and identity at workAccess as a request
Access to a system, for a person or an agent, is a request to its service owner, within the seat's profile, with an end date and a record.
Audit evidence from the record
Who changed what, who approved it, under which rule: linked across the ticket, the merge and the deploy, assembled into an evidence pack the compliance owner releases.
Documentation and wiki that stay with the seat
Runbooks, decisions and the documentation of every service, owned by a seat and kept current by its agent, so knowledge does not leave with people.
Identity for people and agents
An agent gets an identity the way a person does, from the same practice, under the same policy, with the same record.
Secrets and credentials with an owner
Every credential an agent uses has an owner, a scope and an end date, granted through the same request as a person's.
Security findings that become requests with an owner
Findings from the scanners you run arrive as requests on the seat that owns the service; routine ones are fixed inside policy, critical ones reach the security lead the same day.
Sign in through your identity provider
Your people sign in with the identity provider you already run; seats and roles follow from it.
The organization's knowledge graph
Everything the organization owns, who owns it and how it relates: units, seats, agents, repositories, resources and the decisions about them, in one place every agent can read.
Your stack
A new platform usually means a new inbox and a migration. The tools a company runs should stay where they are, and the organization should be modelled from them.
See your stack at workWorks in the tools you already run
Your issue tracker, repositories, pipelines, chat, incident tool, CRM and document store stay where they are; the agent in the seat picks the work up there and answers there.
A working model of your organization, built from your tools
We build the model of your organization from the tools you already run, without asking you to change how you operate.
Connect a tool that is not on the list
We connect to the systems you run, and build the connection before the demo.
How it plugs in
ClrSlate connects to your repositories, trackers and chat as an app: it holds a decision as a check the owner clears, asks the owner where they already work, and carries out what was decided.
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.