We've invested ₹18L in AI tools to improve enterprise deal conversion.
How many of your ₹3.2Cr opportunities get a structured deal review every week?
I'd have to check.
That pause is where I would start. Before adding more intelligence to the deal, the question worth asking is whether you have extracted the intelligence already sitting inside your salesperson's head.
Your salesperson knows things your systems never will
The most predictive information about a deal usually lives in the salesperson's head, not the CRM. Your CRM knows what was entered. Your AI knows what it can read. Neither knows what the salesperson observed and never wrote down.
What was entered
Stage, value, close date, activity logged. Structured, recordable, and already visible to anything that reads the database.
What actually decides the deal
- → Why the buyer went quiet after the last call
- → Who actually influences the decision
- → Which competitor is already inside the account
- → What the CFO reacted to
- → Where the internal politics sit
- → Whether the stated next step will actually happen
Most of that never reaches the CRM. It is judgement and observation, not recordable fact — which is exactly why no tool reading the database can surface it. The intelligence is in the room, not the system.
The deal review I actually run
A structured review extracts context before any tool is involved. Here is the sequence I use on large opportunities.
The 4-Step Deal Review
The salesperson explains the deal to themselves
Before the weekly review, they record a short audio or video note explaining the deal — not presenting it to me, explaining it to themselves. What do we know? What are we assuming? What could make us lose? What has to happen next? What are we missing? I review the CRM separately, in parallel.
They explain the opportunity again, out loud
In the review, I ask them to walk through the deal a second time. The act of explaining exposes gaps. Things that felt obvious inside their head sound much less obvious when said aloud to another person — and the difference between those two states is where the risk hides.
Then I coach — with questions, not answers
I do not tell them what to do. I ask questions they have not asked yet: What evidence tells us this deal is progressing? Who benefits if they buy? Who loses influence if they buy? What are we treating as fact that is still only an assumption? What would have to be true for the competitor to win?
Only then, use AI
Now bring the tool in. Ask it to challenge the deal, find missing perspectives, suggest questions, stress-test assumptions. AI is genuinely useful here — but as the step that pressure-tests human commercial thinking, after that thinking has been surfaced and coached, not as a substitute for it.
The sequence is the advantage
The order matters more than any single tool in it. Before buying another tool to improve win rate, check whether you are using the intelligence already inside the deal.
CRM gives you recorded information
The structured facts. Necessary, but the least predictive part of the picture on a complex deal.
Your salesperson gives you context
The observations and judgement that never made it into a field. Usually the most predictive input, and the one most companies never systematically extract.
Coaching turns context into decisions
Questions expose the assumptions inside the context and convert it into a sharper read on what to actually do next.
AI challenges those decisions
The final stress-test — missing perspectives, blind spots, questions nobody asked. Powerful last, weak first.
AI is useful. But it should augment commercial thinking, not replace it
The ₹18L is not wasted — but it is sequenced wrong. A tool challenging a deal nobody has properly thought through has very little to work with. The same tool, applied after context has been extracted and coached, has something real to pressure-test. Same spend, different order, materially different return.