Built around your boundaries
Useful automation needs clear responsibility.
Before a system takes on work, you should understand what it is allowed to do, what it needs your approval for, and what happens when it cannot complete the task.
That is part of defining the solution—not a detail to leave until after it is running.
Four decisions to make before work begins.
1. What job is the system responsible for?
Give the role a specific purpose and a clear boundary. Define where the work starts, what counts as completion, and which decisions belong elsewhere.
2. What information and tools may it use?
Identify the access needed for that job. Discuss the connected systems, the information involved, and the permissions appropriate to the workflow.
3. Which actions need a person?
Make the review points explicit. A routine request and an unusual commitment may need different treatment.
4. What happens when something falls outside the rules?
Name the person or team that receives the handoff. Decide what context they need and whether the workflow pauses until a decision is made.
A boundary you can see.
Illustrative example: a discount request
An AI staff role can prepare an appointment response. A customer then asks for a discount outside the agreed rules.
The workflow routes that request to a person. A draft can help the person respond, but the role does not assume permission to make a new commercial commitment.
The point is not that every business needs the same rule. It is that the rule is agreed and reviewable.
Review the output. Not just the intention.
An automated action, process finding, or proposed improvement should be understandable to the person responsible for it.
During scoping, ask what records are available, who can review them, how corrections are handled, and how the workflow can be paused or changed. The answers depend on the product and implementation and should be confirmed for your setup.
Different solutions need different checks.
Beacon: Be clear about the business being reviewed, the evidence used, and the changes being proposed.
Your AI Staff: Define the role, permissions, approvals, and exception path.
Discovery Studio: Separate facts from assumptions and estimated value from measured results.
AI Process Analyst: Confirm the process with the people doing the work and explain recording and information-handling arrangements before a session.
Questions worth asking
Can all actions require approval?
Discuss the review model during scoping. Requiring approval changes how a workflow operates, and the supported options need to be confirmed for the role and tools involved.
Can we change the rules later?
Rules and responsibilities may need to change as the business changes. Agree how changes are requested, reviewed, and tested as part of the service.
Can you meet our specific security requirements?
Tell us what is required. We assess those requirements against the proposed setup before agreeing the work, including any specific evidence your business needs to review.
Start with your requirements.
Tell us what the system must do, what it must never do, and who needs to stay involved.