Repetitive Administrative Work

Name the outcome and its boundary

Identify stable rules, handovers and exceptions before choosing technology. A process change or an existing system may solve a different part of the problem from an AI assistant.

Name the document or transaction class, permitted data and responsible process owner. Preserve approval and access rules when work crosses systems.

Compare different causal paths

Compare process redesign, changes to an existing system, bounded rules, AI assistance and automation. Each option needs a reason it could change this piece of work, and assumptions that can be tested.

Keep the workload, acceptable quality, human review, integration and ongoing costs visible. A modelled capacity gain becomes financial value only under explicit conversion conditions.

Design a test that can change the decision

• Measure completed work, exceptions, rework and end-to-end time.
• Test ordinary and difficult cases; count supervision and integration costs.

Agree the metric, baseline, threshold, observation source and person responsible for the next decision. A result may support a bounded pilot, more evidence, redesign or stopping.

Keep a testable decision record

Metric and baseline

Measure completed work, exceptions, rework and end-to-end time.

Threshold and failure signal

Agree what would change the decision before observing results. Include unacceptable quality, rights or operating cost, and the evidence that would disprove the hypothesis.

Measurement and responsibility

Name the observation source, period, reviewer and person who accepts the outcome. Preserve assumptions separately from observed results.

Next action and review

Decide whether to test, redesign, expand or stop. A further operating step requires its own permissions and evidence; revisit it when the context changes.

Continue with this question

Explore the calculator · Research method · All research guides