Implementation library
Each guide is the exact project plan we use on real engagements — not a marketing explainer. Start with the Setup guide if you're launching; jump to Post-launch Optimization if you're already live and something feels off.
Guide · Setup · 14 min read
The end-to-end playbook for launching an AI receptionist in 2–3 weeks — without sounding generic on day one.
Guide · Integration · 11 min read
How to wire the AI into your CRM and calendar so calls land as clean records — not duplicate contacts and dropped bookings.
Guide · Call Flow · 13 min read
Vendor templates handle the easy calls. This guide handles the rest — qualification, branching, escalation, and the edge cases that decide whether the AI feels useful or annoying.
Guide · Launch Checklist · 8 min read
Skip an item on this list and you'll find it the hard way. The pre-cut-over verification we run before pointing production calls at the AI.
Guide · Optimization · 10 min read
Most AI receptionist deployments quietly drift in the first 90 days. This is the metrics framework + tuning playbook to catch and fix it.
Suggested reading path
Each guide stands alone, but most teams hit them in this order during a real project.
You're evaluating
Read the Setup guide to understand the project before scoping vendors. Helps you ask the right questions on demos.
Setup guide →You've picked a vendor
The Call Flow Design guide first (decisions you'll make once), then the CRM & Booking Integration guide (what you'll do once you start configuring).
Call flow guide →You're days from cut-over
The Launch Checklist. Don't skip items — they're things we've watched go wrong in production.
Launch checklist →You're already live
The Post-launch Optimization guide. The metrics framework + tuning cadence that catches the drift before it becomes 'we should switch vendors.'
Post-launch guide →