Short answer
Learn AI for business by starting from your processes, not from tools. Map where time goes, find repetitive and text-heavy work, learn generative AI well enough to improve that work, then automate one workflow and measure the result in time saved, cost reduced, revenue gained or capacity freed. Put simple rules in place for data and quality before scaling.
By Chandan Maheshwari, AI mentor & consultant, founder of School of AI · Last updated
Key takeaways
- Start from processes and bottlenecks, not from tools.
- The owner should learn AI first.
- Automate one workflow, measure it, then expand.
- Set data and quality rules early.
A business AI roadmap
The sequence used when mentoring business owners.
- Map processes and where time is spent
- Shortlist repetitive, text-heavy tasks
- Learn practical generative AI and apply it to those tasks
- Automate one workflow end to end
- Measure: time saved, errors reduced, revenue or capacity gained
- Write guidelines for data, privacy and review, then scale
Common mistakes
Buying software before the process is clear, automating a broken process, skipping staff training, and treating AI output as final without review.
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