The Problem
What It Looks Like
- • Everyone's talking about AI but nobody knows where to start
- • Scattered experiments with ChatGPT that don't scale
- • Unclear which use cases are worth pursuing
- • Concerns about data privacy, security, and compliance
- • Vendors promising everything, delivering confusion
What It Costs
- ✕ Analysis paralysis delays any progress
- ✕ Competitors gain AI advantages
- ✕ Scattered experiments waste resources
- ✕ Team frustration and confusion
- ✕ Missed opportunities for efficiency gains
The Real Risk: The risk isn't choosing wrong — it's choosing nothing. While you analyse, competitors implement. The gap widens daily.
Our Approach
Start with business problems, not technology. Identify high-impact, low-risk use cases. Prove value fast, then scale systematically.
Opportunity Assessment
1-2 weeks: Workshop with leadership, identify pain points, map AI use cases to business impact, prioritise by impact × feasibility.
Proof of Value
2-4 weeks: Implement 1-2 quick wins, measure actual impact, build organisational confidence.
Strategic Roadmap
1-2 weeks: Develop 12-18 month roadmap, define governance and compliance, plan team capability development.
Systematic Implementation
Ongoing: Execute roadmap priorities, build internal capability, transfer knowledge, scale what works.
Typical ROI on Quick Wins
Process Automation
Time savings on automatable tasks
Document Analysis
Faster review and processing
Customer Insights
Faster analysis of customer data
Code Development
Productivity gain with AI-assisted coding
Our Offerings
Executive AI Workshop
AI opportunity map (15-20 use cases)
Executive summary (board-ready)
Risk assessment
Comprehensive AI Strategy
Detailed strategy document
12-18 month phased roadmap
Compliance framework (EU AI Act, GDPR)