How to Identify Which Processes to Automate with AI Employees

Not every process should be automated. The businesses that get the best returns from AI employees are the ones that choose the right processes first — high volume, rules-based, and consuming disproportionate staff time.

This guide provides a practical framework for evaluating your workflows and prioritising them for AI automation.

The Automation Suitability Score

Rate each process on five dimensions, scoring 1-5 for each:

1. Volume

How often does this process run?

• 1 = Rarely (monthly or less)
• 3 = Regularly (weekly)
• 5 = Constantly (multiple times daily)

Higher volume processes deliver faster ROI because the time saving multiplies with every execution.

2. Repetitiveness

How similar is each execution to the last?

• 1 = Every instance is unique
• 3 = Common patterns with regular exceptions
• 5 = Highly standardised with minimal variation

AI employees excel at consistent, predictable work. Processes with high variation require more human judgement.

3. Rules-Based

Can you document the decision logic?

• 1 = Requires intuition and experience
• 3 = Mostly rules-based with some judgement calls
• 5 = Completely definable in if-then logic

If you can write a decision tree for the process, an AI employee can follow it. If you cannot, it probably needs a human.

4. Time Cost

How much staff time does this process consume?

• 1 = Minutes per week
• 3 = Hours per week
• 5 = A significant portion of someone's role

Processes that consume the most time offer the largest savings. A process taking 10 hours per week is worth automating even if everything else scores moderately.

5. Error Impact

What happens when this process goes wrong?

• 1 = Minimal impact, easily corrected
• 3 = Moderate impact, requires investigation
• 5 = Significant financial, compliance, or customer impact

High-impact errors justify automation because AI employees deliver consistency. But they also require more careful deployment and testing.

Interpreting Your Score

• 20-25: Ideal automation candidate. Start here.
• 15-19: Strong candidate. Worth automating after your top priorities.
• 10-14: Moderate candidate. May benefit from partial automation.
• 5-9: Unlikely to justify automation. Keep as manual process.

Common High-Scoring Processes

Across our deployments, these processes consistently score highest:

1. Invoice processing and accounts payable (typical score: 22-25)
2. Customer support ticket triage (typical score: 21-24)
3. Bank reconciliation (typical score: 20-23)
4. Lead qualification and CRM management (typical score: 19-22)
5. Data entry and cross-system synchronisation (typical score: 20-24)
6. Expense categorisation (typical score: 19-22)
7. Report generation (typical score: 18-21)
8. HR document processing (typical score: 17-20)

The Quick Win Strategy

Start with the process that scores highest and has the simplest integration requirements. This gives you:

• Fastest time to measurable ROI
• Internal proof of concept for AI automation
• Organisational confidence to automate the next process
• A foundation of data and learnings for future deployments

Resist the temptation to automate everything at once. Sequential deployment with measured results builds momentum and reduces risk.

How to Run the Assessment

1. List your top 10 time-consuming processes. Ask each department head what their team spends the most time on.
2. Score each process. Use the five dimensions above. Be honest — overscoring leads to poor automation choices.
3. Rank by total score. Your automation roadmap writes itself.
4. Validate the top 3. Map these processes in detail. Document every step, decision point, and exception.
5. Start with number 1. Deploy, measure, optimise, then move to number 2.

Ready to identify your best automation opportunities? Talk to Struan — we will help you assess your processes and build a prioritised automation roadmap.