For AI service providers · Guide
How to create repeatable AI services without copying client data
Make a service repeatable by saving its procedure, acceptance criteria and review process. Replace the client context and reconnect authorized accounts for every new client. Agentic Workers can run configured agent work, but a complete workspace clone and automatic client setup are not assumed.
By Agentic Workers Team · Published · Updated
Responsibilities and evidence
Agree on the owner and retain a safe evidence reference for each responsibility.
- Service scope
- Provider drafts; client accepts. Evidence: agreed output and stop conditions.
- Account ownership
- Client and provider confirm owners. Evidence: account inventory without secret values.
- Configuration
- Provider sets up the intended workspace and agent. Evidence: reviewed settings.
- Action review
- Named reviewer checks supported actions. Evidence: request and decision.
- Acceptance
- Client or delegated reviewer checks the result. Evidence: accepted artifact.
- Exit
- Account owner and provider remove access. Evidence: handoff and denied-access check.
1. Extract the stable procedure
After a successful pilot, write the input requirements, output format, decision rules and exception path. Keep client-specific names, facts and credentials out of the reusable instructions. Label sample data as fictional.
2. Adapt and retest
Create the next client’s workspace, add its approved context and connect its accounts. Run the same acceptance case with new client data. Verify account selection and approval behavior rather than assuming a copied instruction is a complete deployment.
3. Maintain the service version
Record changes to instructions and the acceptance checklist. Recheck affected clients when a tool or output requirement changes. Keep the operator and support owner clear; repeatability is a maintained process, not a one-time template.
Example provider workflow. Adapt it to the client’s agreed scope.
- 01
Step 1: Extract the stable procedure
- 02
Step 2: Adapt and retest
- 03
Step 3: Maintain the service version
Fit and limitations
- Good fit
- Providers applying this process to an agreed client service.
- Poor fit
- Treating this checklist as an automatic product feature or a substitute for a client agreement.
- Known limits
- These are operating recommendations. Test each supported product path in the target workspace and plan. Examples are not performance, pricing or security benchmarks.
Sources and evidence
Documentation establishes the scope of a claim. It does not replace an acceptance test in your client’s environment.
| Source | What it supports | Checked |
|---|---|---|
| Team workspace setupProduct documentation | Teams organize agents and connected tools by workspace. Verify membership and the active workspace before setup. | |
| Schedule a recurring jobProduct documentation | Configure and test the schedule, time zone, agent and supported result destination. | |
| Read an agent run recordProduct documentation | Inspect available tool calls and execution details within the relevant workspace. A completed run is not proof of an accepted result. |
Questions providers ask
Who is responsible for the result?
The provider names an operator; the client names the person who can accept the deliverable. The platform does not replace those responsibilities.
What evidence should we retain?
Keep the source date, workspace and agent, expected output, review decision and artifact reference. Exclude credentials and unnecessary personal data.
When should we stop and review?
Stop when the account, recipient, output or permissions differ from the agreed scope, then resolve the exception before continuing.
Set up one client service
Set up the client workspace, connect its tools and review the first deliverable. Use a tested delivery path, such as Telegram, so the client can receive work in chat. Track operating costs and review effort before pricing a recurring service.
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