Results & Client Work

AI consulting should end in something measurable.

This page is designed to show the business problems I have diagnosed, the systems put in place and the commercial or operational effect. Replace the marked fields below with verified client numbers as you collect them.

Case study framework

Show the constraint, the diagnosis and the outcome.

01

The problem

What was costing the business time, money, speed or visibility?

02

The intervention

What process, AI system or automation was recommended and implemented?

03

The result

What changed afterwards? Use verified numbers, hours, response times, bookings or revenue.

Case Study 01

AI lead response and follow-up

Use this block for a client where slow response, missed calls or inconsistent follow-up was costing opportunities.

Verified metrics to add
  • [Response time before → after]
  • [Number of leads followed up automatically]
  • [Appointments or jobs booked]
  • [Admin hours removed]
Case Study 02

CRM and workflow redesign

Use this for a business where leads, customers or internal tasks were spread across disconnected tools and manual processes.

Verified metrics to add
  • [Tools removed or consolidated]
  • [Manual steps removed]
  • [Team hours saved]
  • [Visibility or reporting improvement]
Case Study 03

AI voice, customer communication or booking

Use this for an implementation where AI handled inbound or outbound calls, qualification, appointment booking or repetitive customer communication.

Metric 01[Calls handled]
Metric 02[Bookings]
Metric 03[Hours saved]
Metric 04[Conversion]

Want to know what I would find inside your business?

Start with the AI readiness scorecard, then we can decide whether a deeper audit is warranted.