Case Studies

Before. Intervention. After.

Generic claims about AI don't sell — measured outcomes do. These are representative engagement profiles showing how transformation work is structured and what it returns.

Professional services — 100 employees

From spreadsheets to an intelligent operating layer

Before

  • 6 hours/day of manual data entry
  • 5 disconnected systems
  • 3 employees on administrative work
  • Outdated website, poor CRM utilization

Intervention

  • AI document processing
  • Workflow automation
  • CRM integration
  • Custom reporting dashboard

After

  • 70% less manual data entry
  • 2 systems eliminated
  • 40 hours/week saved
  • Faster customer response times

Insurance brokerage — 60 employees

Intake and quoting rebuilt around AI

Before

  • Every submission keyed in twice
  • 48-hour average quote turnaround
  • No visibility into pipeline

Intervention

  • AI extraction from submission PDFs
  • Automated triage and routing
  • Quote assembly assistant
  • Pipeline dashboard

After

  • Quote turnaround under 4 hours
  • 2.5 FTE of admin capacity returned
  • Zero re-keying between systems

Home services — 180 employees

A website that sells instead of describing

Before

  • Legacy site, 0.8% conversion
  • Leads landing in a shared inbox
  • Manual scheduling by phone

Intervention

  • RapidWeb AI rebuild
  • AI qualification and booking
  • CRM sync and automated nurturing

After

  • 3.1% conversion rate
  • Same-day response on every lead
  • Booked jobs up materially quarter over quarter
Example engagement

A 100-person company spending $8M annually

15 employees on repetitive administrative work, 4 disconnected systems, manual onboarding and reporting. Here's how the engagement sequences.

Phase 1

Assessment

$10,000

Phase 2

Transformation strategy

$25,000

Phase 3

Implementation

$125,000

Phase 4

Managed AI services

$7,500 / month

First-year engagement value: ~$250,000

Potential client savings: $300K – $600K per year

What would yours look like?

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