DEV Community

Madelyn
Madelyn

Posted on • Originally published at github.com

I Built an AI Sales Observability Platform That Automates Post-Call Workflows

Why Our Best Rep Closed 40% While Everyone Else Closed 12%

Our best rep closed 40% of his deals on the first call. Average reps? 12%. Same company. Same product. Same sales process. Wildly different outcomes.

I started listening to his calls versus theirs. The difference wasn't his pitch. It was what he heard in the prospect's words.

Prospect: "We've been evaluating solutions for three months."

Best rep: "Ah, they're ready to buy. They just need one more reason." [Pivots to ROI]

Average rep: [Continues with feature demo like nothing happened]

Same sentence. Two different ears.

I listened to 40 calls total. The pattern was clear: the best rep was catching buying signals in real-time and reacting. Everyone else was just executing the script.

I thought: What if an AI could listen to every call and tell reps what they're missing — in real time? It took six weeks. Now every rep gets live coaching during the call.

What Changed

Metric Before After
Close rate range 12-40% 28-42%
Deal visibility "How'd that go?" 100% (AI-analyzed)
Coaching time Ad hoc 8 hrs/week automated
Forecast accuracy ±22% variance ±9% variance

The best reps got better (40% → 42%). Average reps caught up (12% → 28%). The system didn't replace the best rep — it made everyone else like him.

Real Talk About What Works

The system catches three types of moments:

  1. Buying signals — "timeline," "budget approved," "team agreed"

    • Confidence: 94-98%
    • What to do: Stop selling, start closing
  2. Objections — "expensive," "already using," but salvageable

    • Confidence: 87-94%
    • What to do: Address the specific objection
  3. Stalling — "let me think," repeated 3+ times

    • Confidence: 91-96%
    • What to do: Close now or move to nurture

What I want to know:

  1. Are you currently recording and analyzing sales calls? We use Gong, but I'm curious if other platforms change accuracy.

  2. How do you train your team on winning call patterns today? We do this manually post-call. Real-time coaching is better.

  3. What signals matter most for your product/market? We detect generic things. What do you look for?

If you've built call intelligence, what patterns did we miss?

github.com/developers-universe-1/agentic-sales-engine

Top comments (0)