Short answer
Decision intelligence for training and enablement puts procedures, expert reasoning and guided next steps inside the decisions people make every day, assigns work based on verified skills, captures how experts decide so that knowledge outlasts them, and uses approvals and overrides to find where people need coaching.
Decisions it handles
| Decision | Signal | Context it needs | Authority | Outcome measured |
|---|---|---|---|---|
| Guided procedure | Technician opens a job | SOP, asset history, safety rules | Augmented | First-time fix rate |
| Job assignment | New work order | Skills, certifications, availability | On-the-loop — supervisor | Rework, safety |
| Coaching need | Pattern of overrides or errors | Decision history | Human — manager | Time to proficiency |
| Knowledge capture | Expert approves or overrides | Reason given | Automated capture | Knowledge retained |
How it works
- Connect procedures and people dataSOPs, manuals, LMS, HR skills and work orders.
- Guide in the momentStep-by-step help inside the job, on mobile.
- Assign by skillRight person, right job, with certifications checked.
- Capture expert reasoningEvery override reason becomes teachable knowledge.
- Measure proficiencyOutcomes show who needs which coaching.
Where it fits
Every functionOne layer across the organization.Explore →How we train AIConnect every dot.Explore →Customer supportTriage, answers and proactive outreach with humans in control.Explore →
Key takeaways
- Built on the same decision layer as every other solution.
- Humans keep authority; autonomy is earned.
- Every outcome improves the next decision.
Frequently asked questions
How does decision intelligence help training?
It delivers the right procedure and expert guidance at the moment a person makes a decision, and learns where people need coaching from their outcomes.
Can it capture retiring experts’ knowledge?
Yes. Expert approvals, overrides and the reasons behind them become searchable, teachable knowledge.