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AI for Sales

Pipeline Hygiene

Every sales org has the same ritual: a message before the forecast call asking everyone to update their deals, followed by a half hour of reps changing close dates to the end of next month. The data gets touched, not corrected. Duplicates pile up, deals sit in stages they left weeks ago, and the pipeline that leadership plans against describes a company that does not quite exist.

The fix is not more nagging. It is to stop asking people for information the system could already work out. Skynet’s agent reads the calendar, the email threads, and the meeting notes, updates what it can infer, and reserves the human ask for the things only a rep knows — like whether the champion is actually going to fight for this.

How it works

step 01

Fill in what it can see

Meetings held, emails exchanged, next steps agreed on a call, contacts who joined the thread. The agent writes these into the record from the sources directly, so the basics are never stale.

step 02

Check records against the process

Deals in a stage with no next step, close dates in the past, opportunities missing an owner, duplicates of the same account. The agent finds them on a schedule and lists them with the specific problem named.

step 03

Ask a person only when it must

Where the answer is judgement rather than fact, the agent asks the rep — one short question in Slack, not a form. Two seconds to answer beats a Friday spent in a spreadsheet.

step 04

Propose, do not overwrite

Corrections to anything meaningful come as a proposal. The agent tells you what it wants to change and why; you approve. Nobody wakes up to an agent having rewritten their pipeline overnight.

Build it from a prompt

Say what clean looks like and let the agent hold the line.

The pipeline gets accurate as a side effect of work already happening, rather than through a ritual everyone resents. Reps answer a question or two a week instead of doing data entry, and the forecast is built on records that match reality.

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