📣 What we actually say — and whether it gets answered
every outbound message grouped by what it says, once the
names and dates are stripped out. The big groups are the automations.
Reply rate = how many of the people who got it wrote back inside 72 hours.
Press Run.
Ask the CMO
🧭 Pipeline
Where every upcoming visit stands — green is done, red needs a human. Manual steps are tappable.
Loading flows…
🏷 Designation Engine
Rules first (payments → Patient, replies/bookings → Lead, silent bulk-origin → Junk),
AI on the ambiguous, you rule the rest. Nothing writes to GHL until you approve a group.
Every decision is ledgered with its receipt.
Proposals — approve to write to GHL
Run a scan to see proposals.
Needs a human eye
—
Ledger — every decision, with receipts
Loading…
✋
Actions required
Answer what the data can't see — everyone can help here
0
Loading…
🧠
The analysis
What the Scholar knows now — and how it's moving results
Loading…
🔒
Decisions
Everyone weighs in — the final call is owner logins only
0
Loading…
Parked — "not now", never "never" (0)The ledger — every learning event (owners)
💬 Assistant✕
Tell me what you want done — I'll show you before anything happens.
Try: "find availability Saturday" · "text her the directions" · "send him the photo link" · "add a note that…"