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AI for Sales

Sales Coaching & Training

Most sales coaching is one call a month, reviewed from a manager’s recollection of a call they half-listened to. The feedback is directional at best — talk less, ask better questions — and it arrives weeks after the habit formed. Meanwhile the manager has eight reps and no time, so the newest person, who needs it most, gets the least of it.

The raw material is already there. Every call is recorded and nobody has time to listen to them. Skynet’s agent does the listening, compares what happened against the patterns in the deals you actually closed, and turns a month of unwatched recordings into feedback a person can act on this week.

How it works

step 01

Set the standard from your wins

The agent studies the calls behind deals you closed. Discovery depth, when pricing came up, how objections landed, how much the customer talked. Your standard, drawn from your own record — not a methodology from a book.

step 02

Review the calls nobody has time for

Every call gets analysed against that standard. The agent notes where discovery was thin, where a buying signal went unanswered, where the rep talked past a close.

step 03

Write feedback with evidence

Each point cites the moment. Not “improve your discovery” but the specific question that was never asked when the prospect opened the door for it. Feedback with a timestamp is hard to argue with and easy to act on.

step 04

Keep the manager in the chair

The agent drafts; the manager reviews, cuts what is unfair, and delivers it. Coaching stays a human conversation. The agent just means it happens with preparation instead of from memory.

Build it from a prompt

Set the standard once, then let it run every week.

Every rep gets coached every week instead of the loudest one getting coached in month three. And the patterns across the team become visible, so you find out that four people fumble the same objection rather than discovering it deal by deal.

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