Free Your Team to Do What Humans Do Best
The north star is simple: reduce friction so teams can serve customers better.
All AI work should trace back to this. Not AI for AI’s sake. Not adoption theater. Operational excellence through reduced friction.
What Friction Looks Like
- Teams spending hours on manual data wrangling
- Knowledge locked in individuals’ heads
- Communication overhead between systems and departments
- Repetitive tasks that drain energy from creative work
- Work repeatedly blocked by missing context
- Customers waiting while teams search, reconcile, and re-explain
The Test
For any AI initiative, ask: “Does this reduce friction for serving customers?”
If the answer is unclear, the initiative is probably technology for technology’s sake.
Why This Matters
The companies that win will not be the ones with the most AI features. They will be the ones where humans can focus on what humans do best: creativity, relationships, judgment, and care.
AI is useful when it removes the drag around that work.
Implication
Look for friction before looking for technology. The best first use cases are usually repeated, annoying, bounded, and close to customer value.
Contrarian To
“We need AI because competitors have AI”
No. You need AI where it makes your people better at serving customers.