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AI for Sales

Lead Scoring & Prioritisation

Most lead scoring is a points table someone built two years ago. Job title gets ten, enterprise domain gets fifteen, downloaded a whitepaper gets five. It never learns from the deals you actually closed, and it can’t see that the account viewed the pricing page four times last week or that a similar company churned in month three. So reps do the real scoring themselves — scrolling the list, guessing, working whoever emailed most recently.

Skynet approaches it from the other end. Unified memory pulls your CRM records, past deals, and connected tools into one place, so the agent compares a new lead against what winning looks like in your business rather than against a generic template. It ranks the list, explains each placement, and leaves the decision to you.

How it works

step 01

Connect the signals

Point the agent at your CRM and the tools that hold buying signals. Skynet builds unified memory across them, so a lead is not a row in a form — it is a company with a history, a size, and a pattern of behaviour the agent can compare against.

step 02

Teach it what a good deal looks like

Describe your best-fit customer in plain language, or just point at the deals you closed last quarter. The agent learns the shape of a win from your own record: which segments convert, which stall, which ones burn a month and go quiet.

step 03

Rank with reasons

The agent scores each lead and writes a one-line justification. Three visits to pricing, headcount in your sweet spot, same industry as your last four wins. A score you can argue with is a score a rep will actually trust.

step 04

Route the top of the list

High scores go straight to a rep with the research already attached. Borderline leads get flagged for a human call. Cold ones drop into nurture instead of eating someone’s morning.

Build it from a prompt

You describe the job once, in the words you would use with a new sales hire.

What you get back is a ranked list your team believes. Reps stop triaging and start calling, the reasoning is visible enough to challenge, and the model keeps pace with your business because it reads the same deals you do.

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