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AI for Sales

Objection Handling

Objections are not surprises. It is the same handful every quarter: too expensive, we already use a competitor, security will never approve it, call us next year. The problem is that the good answers live in one or two people’s heads. The rest of the team invents something on the spot, discounts too early, or promises a feature that does not exist — and nobody finds out until the deal is lost and the reason field says “price.”

Skynet turns those answers into something the whole team can reach. Unified memory holds your won calls, your pricing rationale, your security documentation, and your competitive positioning. The agent draws answers from that rather than from a generic script, so what a rep gets is what actually worked here.

How it works

step 01

Mine the answers you already have

Point the agent at your call recordings and notes, your competitive material, and your security and pricing docs. It learns how objections were handled in the deals you won, and where the answers came from.

step 02

Build the response library

For each recurring objection, the agent drafts a response grounded in your own material, with the source attached. You review the library once and correct the ones that miss. From then on it is your answer, not a guess.

step 03

Surface it at the right moment

Before a call, the agent notes which objections this account is likely to raise given their industry and stage. After a call, if a new one came up, it drafts a response and adds it to the library for review.

step 04

Keep it honest

When there is no good answer in your material, the agent says so rather than inventing one. A flagged gap is useful. A confident fabrication in front of a prospect is not.

Build it from a prompt

Describe the coaching you want available on demand.

Newer reps get the answers that took your best people years to work out, with the receipts attached. And the gaps become visible, which is often the more valuable half — you find out which objection nobody has ever really answered.

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