The best first process to transform with AI is one that happens often, frustrates the people who do it, carries low risk if something goes wrong, and can be measured easily. It is rarely the most strategically important process in the business. Your first project's job is to prove AI works in your organisation and build momentum, not to transform your core operations overnight.
The four tests for a good first process
- Frequency: it happens daily or weekly, so small time savings add up.
- Pain: the people doing it find it tedious or time-consuming, so they want it fixed.
- Low risk: mistakes are caught before they reach customers or decisions.
- Measurable: you can time it today and compare later.
Common first candidates
| Process | Why it often works first |
|---|---|
| Meeting notes and follow-up actions | Frequent, tedious, internal, easy to check |
| First drafts of proposals and reports | Time-heavy, human review is natural |
| Summarising long documents | Saves skilled time, low risk |
| Internal email and correspondence | High volume, easy to measure |
| Research briefings | Repeated preparation work |
| Standard document creation | Rules-based, repetitive |
Processes to avoid as a first project
- Anything customer-facing without review, such as fully automated replies.
- Decisions about people, such as hiring or performance assessment.
- Highly regulated processes where errors carry legal consequences.
- Processes nobody owns, because nobody will drive the change.
- Processes that depend on messy, inaccessible data.
These can come later, with more experience and stronger safeguards.
A simple scoring method
Gather your team leads and list ten to fifteen recurring processes. Score each from 1 to 5 on frequency, pain, safety (5 = lowest risk) and measurability. Add the scores. Your top two or three are your shortlist. Then pick the one with the most enthusiastic owner.
That last step matters. A slightly lower-scoring process with an energetic owner often beats a perfect candidate with a reluctant one.
What success looks like for a first project
- A measurable time saving against the baseline.
- Quality maintained or improved.
- The team now uses the new way of working by default.
- A documented workflow other teams can copy.
- A story you can share to build interest elsewhere.
After the first process
Once the first process is running well, use the same scoring list to pick the next. Over time you will move from simple, internal tasks towards more complex and higher-value processes, carrying the skills and confidence built along the way. For deeper analysis by function, see which business processes benefit most from AI and quick wins with simple AI applications.
Choosing and prioritising AI opportunities is a hands-on part of our Leading AI Innovation & Organisational Transformation course, where you map your own team's tasks and prioritise ideas by value and ease.
Frequently asked questions
Should the first AI project be in our most important area?
Usually not. Start where risk is low and learning is fast, then apply what you learn to more important areas.
How many processes should we transform at once?
One or two at first. Spreading effort across many processes makes it harder to learn, measure and show results.
What if no process scores well?
That is rare, but it may mean the scoring was too cautious or the list was too narrow. Ask frontline staff directly which tasks waste their time.