Measure and Own the System

Measure the workflow outcome

Choose the measure that reflects the reason for the project. For enquiry handling, time to the correct owner’s first review may be more useful than the number of AI summaries produced. For document intake, measure complete records, correction rate, and processing time. For reporting, measure preparation time, source completeness, and corrections after review.

Record the baseline before the new system changes the work. Define the population, period, source, calculation, and owner. “Faster response” cannot be audited. “Median hours from website-form submission to the assigned salesperson’s first recorded review, measured weekly from CRM timestamps” can.

Name two owners

The business owner decides whether the workflow produces enough value and accepts its operating risk. The system owner watches runs, resolves failures, manages changes, and brings evidence to the review. One person may hold both roles in a small company, but the responsibilities remain distinct.

Also name the people who approve data access, business rules, and launch. Do not assume a software administrator owns the business outcome because they can configure the tool.

Prepare the launch controls

1. Run the acceptance set with real or appropriately protected cases.
2. Train users on the normal path, review path, and fallback.
3. Confirm logs show the input, rule or output, human action, and failure reason.
4. Document how to pause the system and return work to the current process.
5. Start with a limited source, team, or volume when the consequence warrants it.
6. Set the first review date before launch.

Monitoring is useful when it leads to a decision. Choose a small operating set: volume processed, completion rate, failures by step, review rate, correction reasons, elapsed time, and the primary outcome measure.

Make one decision after 30 days

At the first review, choose one action: expand, revise, stop, or investigate. Expansion requires evidence that the system works within its current boundary. Revision addresses a known problem. Stopping is appropriate when value does not justify the operating load or the risk cannot be controlled. Investigation names evidence the team still needs.

Do not expand because the pilot looks impressive. Review the baseline comparison, failures, corrections, user feedback, and unexpected cases. Record the decision and the owner of the next action.

Capstone: assemble the Automation Decision Pack

Your finished pack should contain:

1. Workflow shortlist and chosen boundary.
2. Current-state map based on a recent case.
3. Value, readiness, and risk scorecard.
4. Repair, Automate, Assist, and Human allocation.
5. First-release brief and acceptance cases.
6. Baseline, owners, launch controls, and review decision.

Use the rubric in the workbook. A strong pack does not need to prove that the system should be built. It needs to support a clear next decision: proceed to technical discovery, investigate a gap, repair the process, or stop.

Choose the next commercial step

If one workflow is clear and the team can answer the brief, move to implementation discovery. If several workflows compete or important evidence is missing, the AI Success Audit compares up to three workflows and recommends a starting system. If the decision requires a cross-functional room, Strategy Day helps the people doing the work choose and map the first move together.

The course has already prepared the material needed for a better first conversation. Bring the Decision Pack rather than a list of tools.

Quick Check

You have completed the course

Your Automation Decision Pack gives colleagues, leaders, and potential implementation partners something concrete to inspect. Keep the assumptions visible and update the pack when real evidence changes.

Source: 90-Day Automation Operating Plan