Start at the base of the pyramid
Think of work as a pyramid. Routine work such as data entry, matching, triage and reporting sits at the base. Judgement work like pricing decisions and exceptions sits in the middle. Expert work such as strategy and innovation sits at the top.
AI is most reliable and delivers the fastest payback at the base. Starting there builds the data, trust and habits you need to move up.
Pick processes with clear inputs and outputs
Good first candidates share a few traits:
- High volume and repetitive
- Clear rules or examples of good output
- Digital inputs such as emails, PDFs or system records
- Measurable outcomes such as time, cost or error rate
- A process owner who wants it improved
Check your data and systems
AI needs access to the information people use to do the work. Confirm where that information lives, whether it is reasonably clean, and whether your systems offer APIs or exports the AI can use securely.
Keep humans in the loop
Begin with AI that prepares work for approval rather than acting alone. Set confidence thresholds, log every action and give people an easy way to correct mistakes. Increase autonomy only as accuracy is proven.
Measure payback from day one
Record a baseline before you start: hours spent, cycle time, error rate. Compare after launch. Clear numbers make it easy to fund the next initiative.
A simple first step
An AI audit maps your processes, scores opportunities and produces a roadmap in a few weeks. It is the lowest-risk way to make sure your first AI investment is the right one.