Saurabh’s Original Framework
Decision-First AI Method
Do not start with the model. Start with the decision.
Developed by Saurabh Jaiswal as part of the AI for Real Work methodology, this method helps teams avoid tool-chasing and build AI around real decisions, risks, users, and measurable outcomes.
Core idea
Many AI projects fail because they begin with a tool or model. Real AI value starts by identifying the decision that needs to become faster, safer, smarter, or more consistent.
The 5 steps
Step 1
Define the Decision
Clarify what decision the AI system is supporting or improving.
Step 2
Map the Risk
Understand what can go wrong if the AI output is incorrect.
Step 3
Choose the AI Role
Decide whether AI should assist, advise, automate, or escalate.
Step 4
Validate the Output
Check the answer before it influences action.
Step 5
Measure the Outcome
Track whether AI improved speed, quality, cost, or decision confidence.
Why it matters
AI without a decision target becomes a demo. Decision-first AI turns AI from experimentation into business impact.
Real-world use
Use this for loan scoring, risk review, support routing, document classification, candidate screening, operations planning, and compliance workflows.
Final takeaway
The best AI system is not the one with the newest model. It is the one that improves the right decision.