Stop guessing if your AI is working. Track it. Prove it. Scale it.
Services
We do three things: audit what you have, build a clear roadmap, and measure what actually works. No strategy deck collecting dust. No guessing which projects matter. Just decisions you can defend and outcomes you can track.
How can we help you?
AI Strategy
AI Investment Tracking Tool
AI Governance assistance
01
Where can AI actually move your business forward?
We Find Your AI Wins
Most organisations are sitting on AI opportunities they haven’t mapped yet. We audit what you have, understand what matters to you, and hand you a prioritised roadmap — ranked by business impact, not hype.
Who it's for
How it works
- Audit your existing tools, data, and workflows
- Understand your business priorities and constraints
- Map AI opportunities across your operations
- Deliver a roadmap ranked by impact and feasibility
SMEs and mid-market teams who are already using AI tools but lack a clear view of where to invest next. Particularly useful before a board conversation or budget cycle.
02
Your AI could become your biggest liability.
Your AI Safeguards
AI does everything faster — including failing. We conduct a structured risk assessment across your AI portfolio, covering technical and business dimensions, so failures don’t happen at scale.
Who it's for
How it works
Organisations with live AI projects or tools in production that haven’t formally assessed their risk exposure. Especially relevant for regulated industries or customer-facing deployments.
- Assess your tools, processes, and active AI projects
- Identify technical and business-level risks
- Produce a clear risk overview with severity ratings
- Provide practical mitigation strategies per risk
03
How do I know which AI investments are actually paying off?
Measure What Matters
Most AI projects don’t fail loudly — they quietly underdeliver. We give you a live view of which tools and projects are earning their place, and which ones you should cut.
Who it's for
How it works
CEOs and founders at SMEs funding multiple AI initiatives but with no structured way to track what’s working. Also relevant for data leads who own the reporting function.
- Connect your data sources — ERP, cloud costs, revenue
- Set up your AI project portfolio with key metadata
- Track ROI and projected future returns on each initiative
- Make kill-or-fund calls backed by data, not gut feel

