Why Most SMEs
Struggle with AI Adoption
-
No visibility on real ROI
-
Teams experiment independently
-
Automation attempts break or stall
-
Tools are tested without a clear plan
-
Leadership lacks a structured roadmap
AI isn’t the issue. The absence of structure is.

What We Do During an AI Audit
An AI Audit is a structured operational review.
We analyse how your business actually works - not how it looks on paper - and identify high-impact opportunities for practical AI and workflow automation.
The 3-Phase Framework
Phase 1 - Discovery Interviews
We speak with:
-
Leadership (goals, KPIs, constraints)
-
Team members (daily tasks, bottlenecks, frustrations)
Focus:
-
Repetitive manual work
-
Double data entry
-
Reporting inefficiencies
-
Human error risk
-
Tool fragmentation
.png)
Phase 2 - Process Mapping & Opportunity Identification
We map your operations
into three core engines:
• Acquisition
• Delivery
• Support
We identify:
-
Time sinks
-
Quality risks
-
Friction points
Each opportunity
is evaluated based on:
-
Business impact
-
Implementation effort

Phase 3 - Roadmap & ROI Model
You receive:
• Prioritised AI opportunity matrix
• Implementation roadmap
• Estimated time savings
• ROI projection
• Clear next-step recommendations
No vague suggestions
No generic advice
Just structured clarity
What
You Receive
Executive summary report
Visual process maps
AI opportunity matrix
Prioritised roadmap
Implementation recommendation
ROI model (cost savings + revenue potential)
Investment depends on scope and team size.
Most SME audits are completed within 2–3 weeks.
Is This
Right for You?
This audit is ideal if:
-
You have up to 50 employees
-
Your team spends significant time on manual processes
-
You’re experimenting with AI but lack direction
-
You want a structured plan before investing further
This audit is not for:
-
Solo operators looking for prompt tips
-
Businesses seeking immediate full AI transformation
-
Companies without internal buy-in

