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AI Agency Client Delivery

End-to-end framework for delivering AI automation solutions that function as "AI employees that think and act" rather than basic automation.

Delivery Workflow Overview

Discovery → Architecture → Proposal → Implementation → Handoff
↓ ↓ ↓ ↓ ↓
StoryBrand GHL + Voice Pricing & Build & Training &
Messaging AI Design Timeline Test Support

Phase 1: Discovery

Goal: Extract the information needed to build a compelling automation solution.

Discovery Call Framework

Business Context (5 min)

  • What does your business do? Who do you serve?
  • What's your current monthly revenue / deal size / customer volume?
  • What are you trying to achieve in the next 12 months?

Pain Point Extraction (10 min)

  • Walk me through what happens when a new lead comes in today
  • Where do leads fall through the cracks?
  • What tasks eat up the most time for you or your team?
  • What would you do with 10 extra hours per week?

StoryBrand Elements (10 min)

  • Who is your ideal customer and what do they want?
  • What's the problem that stops them from getting it? (External/Internal/Philosophical)
  • What happens if they don't solve this problem? (Stakes)
  • What does success look like for them? (Transformation)

Tech & Integration Assessment (5 min)

  • What CRM/tools do you currently use?
  • Do you have a Google Business Profile? Website?
  • What's your current lead response time?
  • Are you running any paid advertising?

Discovery Output

After discovery, produce:

  1. One-liner: [Character] + [Problem] + [Solution] + [Result]
  2. Pain point summary: Top 3 problems automation can solve
  3. Current state map: Lead flow, response times, drop-off points
  4. Opportunity assessment: Hours saved, leads recovered, revenue impact

Phase 2: Architecture Design

Goal: Design an automation system that delivers measurable value.

Core Components Assessment

Evaluate need for each component:

ComponentIndicatorsTypical Setup
GHL CRMNo CRM or fragmented toolsPipeline, contacts, calendar
Voice AIHigh call volume, missed calls, after-hours inquiriesRetell AI with GHL integration
Workflow AutomationRepetitive tasks, manual follow-upsMake.com/n8n scenarios
Lead CaptureNo forms, poor website conversionGHL forms, chat widget
Review Generation<4.5 stars, few reviewsAutomated review request sequences
Appointment BookingPhone tag, no online bookingGHL calendar + confirmation flows

Architecture Patterns by Industry

Service Businesses (Restoration, Cleaning, HVAC)

Inbound Call → Voice AI Qualification → GHL Pipeline

Lead Scoring → Hot leads: Instant text + calendar link
→ Warm leads: Nurture sequence
→ Cold leads: Long-term drip

Med Spas & Wellness

Website/Social → Lead Capture Form → GHL Pipeline

Automated Consultation Booking → Confirmation + Prep Sequence

Post-Visit → Review Request → Rebooking Sequence

Integration Requirements Checklist

  • GHL sub-account setup
  • Domain/email configuration
  • Phone number provisioning
  • Calendar sync (Google/Outlook)
  • Payment processor (if needed)
  • Voice AI provisioning (Retell/Eleven Labs)
  • Website embed codes
  • Third-party tool connections (Make.com webhooks)

Phase 3: Proposal & Pricing

Goal: Present a clear, compelling offer with appropriate pricing.

Pricing Framework

Starter Tier ($2,000/month)

  • GHL CRM setup + 1 pipeline
  • Basic automation (lead capture → follow-up sequence)
  • Review generation workflow
  • Monthly optimization call

Growth Tier ($3,500/month)

  • Everything in Starter +
  • Voice AI receptionist (Retell)
  • Advanced lead scoring + routing
  • Multi-channel follow-up sequences
  • Bi-weekly optimization calls

Enterprise Tier ($5,000+/month)

  • Everything in Growth +
  • Custom workflow automation (Make.com/n8n)
  • Multiple pipelines / service lines
  • Advanced reporting dashboard
  • Dedicated Slack channel support

Setup Fees

ComplexitySetup FeeTimeline
Basic (CRM + sequences)$1,500-2,5002-3 weeks
Standard (+ Voice AI)$3,000-5,0004-6 weeks
Complex (+ custom workflows)$5,000-10,0006-10 weeks

ROI Projection Template

Current State:
- Leads/month: [X]
- Close rate: [Y%]
- Average deal value: $[Z]
- Current monthly revenue: $[A]

With Automation:
- Lead response time: `<5 min` (vs current [B] hours)
- Expected close rate improvement: +10-20%
- Recovered leads/month: [estimate]
- Additional monthly revenue: $[projection]

ROI: Pays for itself when you close [N] additional deals

Phase 4: Implementation

Goal: Build, test, and deploy the system with minimal client friction.

Implementation Sequence

Week 1: Foundation

  • GHL sub-account provisioned
  • Domain + email configured
  • Phone numbers active
  • Calendar connected

Week 2: Core Workflows

  • Pipeline stages defined
  • Lead capture forms built
  • Initial automation sequences active
  • Basic notifications configured

Week 3: Advanced Features

  • Voice AI trained and tested
  • Lead scoring rules implemented
  • Third-party integrations connected
  • Reporting dashboard configured

Week 4: Testing & Training

  • End-to-end testing (every trigger path)
  • Client walkthrough and training
  • Documentation delivered
  • Go-live checklist completed

Testing Protocol

Test every path:

  1. Submit test lead through each capture point
  2. Verify pipeline movement and automations fire
  3. Test voice AI with multiple scenarios
  4. Confirm notifications reach correct recipients
  5. Validate calendar bookings work
  6. Check edge cases (after-hours, holidays, duplicates)

Phase 5: Handoff & Ongoing

Goal: Ensure client success and long-term retention.

Handoff Deliverables

  1. System documentation: Workflows, triggers, and how to modify
  2. Training video: Loom walkthrough of daily operations
  3. Quick reference card: Key actions and where to find them
  4. Support protocol: How to request changes, escalation path

Monthly Optimization Cadence

  • Review key metrics (leads, response time, close rate)
  • Identify bottlenecks or drop-off points
  • Implement improvements
  • Report wins and ROI to client

Retention Signals

Green (Healthy): Regular system usage, asking about new features, referring other businesses

Yellow (At Risk): Decreased engagement, not responding to check-ins, complaints about results

Red (Churn Risk): No system activity, missed payments, asking about cancellation

Address yellow/red signals immediately with a value conversation.