Our Team
- Lindsay Smith, CTO - Enterprise software veteran, 20+ years FinTech, former CTO at Telrock
- Robbie MacIntosh, Operations Director - Crisis management and operational transformation specialist
- Spencer Thursfield, Chief Marketing Officer - Brand development, commercial strategy, and cross-sector pattern recognition
Proven Results
- 150% conversion increase: same leads, seven figures in new annual revenue
- 95% faster processing: 3 hours of senior time reduced to 9 minutes
- £200K+ hidden costs uncovered in a single 48-hour engagement
- £15M procurement decision delivered in 48 hours from 1,200 pages
- Live with paying clients since October 2024
Shadow AI Risk Assessment
How much uncontrolled AI usage is happening in your organisation? Diagnose visibility gaps, data exposure risks, and governance maturity.
Why Shadow AI Is a Growing Risk
Your employees are almost certainly using AI tools you don't know about. ChatGPT, Copilot, Claude, Gemini, they're being used with client data, financial records, and sensitive business information outside any governance framework.
This isn't a future risk. It's happening now. In regulated industries, financial services, legal, accounting, uncontrolled AI usage creates GDPR exposure, professional liability risks, and audit trail gaps that most organisations haven't begun to address. For the structural reasons this wave is different from previous shadow IT waves, see Shadow AI vs Shadow IT: Why This Wave Is Different.
This assessment diagnoses the extent of shadow AI in your organisation across three dimensions: visibility, data exposure, and governance maturity. You can't manage what you can't see.
What sector does your organisation operate in?
Some sectors have specific regulatory requirements around AI and data handling.
Related Reading
- Shadow AI vs Shadow IT: Why This Wave Is Different
The structural reason traditional governance approaches will not work
- 8 AI Mistakes Costing UK Businesses Millions
Shadow AI is one of the costliest, see the full list
- Seven Ways to Stop Your AI From Making Things Up
Uncontrolled AI usage amplifies hallucination risks
- You Still Have to Own It
Why AI governance can't be delegated
Related Tools
- AI Policy Generator for Accountants
Create a governance policy to address shadow AI
- AI Policy Generator for Consultancies
Tailored AI policy for consulting firms
- AI Security Training (UK)
Train your team on secure AI usage practices
Frequently Asked Questions
What is shadow AI?
Shadow AI refers to the use of AI tools by employees without the knowledge, approval, or oversight of IT or management. This includes using ChatGPT, Copilot, or other AI tools with company data outside sanctioned channels, creating data exposure and compliance risks the organisation cannot see or manage.
What are the risks of uncontrolled AI usage?
The primary risks are data exposure (sensitive information shared with AI platforms), compliance breaches (particularly under GDPR and sector-specific regulations), and governance gaps (no audit trail, no quality control, no consistent standards for AI-generated work).
How do I know if shadow AI is happening in my organisation?
If you haven't explicitly assessed AI tool usage across your teams, shadow AI is almost certainly happening. The majority of knowledge workers have used AI tools at work, and most have done so without formal approval.
How does this shadow AI assessment work?
It evaluates your organisation across three dimensions: visibility, data exposure, and governance maturity. It takes 5-7 minutes and runs entirely in your browser, no data is collected or stored.