GrowIT School of AI·6 min read
Most teams don't need a grand AI programme to start. They need a few well-chosen use cases, clear guardrails and a way to measure whether it worked.
1. List repetitive, text-heavy work
Reports, summaries, first drafts and data clean-up are usually the best first candidates.
2. Pick two and measure the baseline
Record how long the task takes today and how good the output is, so you can compare honestly later.
3. Agree simple rules
Which tools are allowed, what data stays out, and who reviews the output before it is used.
4. Pilot for four weeks
Keep the pilot small, collect examples of wins and failures, and share them with the team.
5. Scale what worked
Turn successful prompts and workflows into shared templates, and train the wider team on them.