What business process should you automate first?
Find a suitable first automation project using frequency, time spent, exception rates, integration access and measurable outcomes.
Which business workflow should be automated first?
Prioritize a repetitive, well-understood task with clear inputs, predictable rules, an identifiable owner and a measurable baseline. Avoid automating a broken or ambiguous process. Start with a limited pilot that lets a person review unusual cases.
1. Build a short inventory of repetitive tasks
Ask staff which tasks they do repeatedly, not which AI features they would like. Good candidates may include routing incoming enquiries, reconciling structured exports, sending appointment reminders or preparing standard status updates.
What to check
- Write down the trigger, input, decision rules, output and person accountable.
- Count how frequently each task occurs per day or week.
- List the manual minutes used per instance, including checking and rework.
2. Estimate the workload without promising savings
For example, 25 enquiries per working day at four minutes each amount to 100 minutes of manual handling daily, or approximately 8.3 staff hours across five days. That is the workload available to examine, not a guaranteed saving. Human review, failures and maintenance still consume time.
What to check
- Calculate weekly minutes as frequency multiplied by average handling time.
- Separate routine work from exceptions requiring judgment.
- Record current errors, delays and customer-impact measures as well as time.
3. Check feasibility and operational risk
A task may look simple but depend on an unavailable API, messy customer records or decisions requiring human discretion. A useful pilot needs permission to access data, sensible privacy boundaries and a clear fallback when an integration fails.
What to check
- Verify API or export access with actual provider accounts.
- Keep approval steps for ambiguous, high-impact or irreversible actions.
- Define logs, alerts and manual recovery for failed runs.
4. Pilot one workflow and measure the result
Choose a bounded example, document its current performance and compare it with the pilot. Review the entire process, including manual exception handling, rather than counting only the successful automated steps.
What to check
- Measure completion time, error rate, exception rate and cost per run.
- Have process owners review failures and update the rules.
- Expand only after the workflow meets agreed acceptance criteria.
NEXT STEPS.
Learn about our AI automation and workflows approach, or describe your workflow so we can assess what is practical.