SSearcherSignal

Post-Close Thesis

Find practical AI improvements before the first 100 days.

Turn a target's operating pain into a first-cut improvement thesis for the first 100 days after close.

Thesis Builder

Describe the operating leak.

Keep the thesis practical. The goal is not a vague AI roadmap. It is a short list of workflow improvements a new owner can review with operators after close.

Target context

Output

Preview thesis

Operating read

For a 18 person HVAC and specialty trades, the first AI opportunity should be operational discipline before automation. Start with the workflow that leaks calls, estimates, follow-up, or bookkeeping time.

First projects

  1. Capture missed calls and owner-inbox requests into one triage queue with response ownership.
  2. Turn estimate notes, photos, and job history into a quoting checklist before pricing review.
  3. Automate follow-up reminders for open estimates, renewals, and stale customer requests.
  4. Reconcile invoices, job notes, and bookkeeping categories before month-end close.

Questions before underwriting value

  • Which workflows in HVAC and specialty trades consume owner time every week?
  • Which systems are authoritative today: QuickBooks, shared inbox, spreadsheet dispatch board?
  • Who changes the process after close, and what training is required?
  • Which improvement can be tested in 30 days without disrupting customers or employees?

Educational operating ideas only. Do not treat this as an ROI estimate, investment advice, legal advice, or labor advice.