From unclear workflow to dependable AI system
We map the real work, rank the opportunity, build with controls, and prove the result before expanding.
Five controlled stages
1. Assess. Observe the workflow and establish a baseline for time, quality, rework, and exceptions.
2. Prioritize. Score opportunities for value, feasibility, risk, and adoption. Recommend AI only where it earns its place.
3. Build. Connect approved systems and information with limited access, clear rules, human review, and an exception path.
4. Prove. Test historical examples and edge cases against agreed acceptance criteria. Compare the pilot with the original process.
5. Improve. Train the team, monitor use, repair failure points, and expand only when the evidence supports it.
2. Prioritize. Score opportunities for value, feasibility, risk, and adoption. Recommend AI only where it earns its place.
3. Build. Connect approved systems and information with limited access, clear rules, human review, and an exception path.
4. Prove. Test historical examples and edge cases against agreed acceptance criteria. Compare the pilot with the original process.
5. Improve. Train the team, monitor use, repair failure points, and expand only when the evidence supports it.
Team members supported by each implementation
12,800+
Average reduction in time spent
41%
Shipping velocity after eliminating
3.7x faster
AI Implementation delivered by Frontier Function
2.3M+