FOR INVESTORS & PRIVATE EQUITY
AI is no longer optional - it's an infrastructure shift. I help investors and PE firms understand AI readiness and unlock growth opportunities within their portfolio companies.
Book a Confidential DiscussionWhile others debate, early adopters are already compounding their advantage. Inaction creates three silent killers in your portfolio:
While you pay staff to extract data from PDFs and draft emails, your competitors are automating this. Your Cost of Goods Sold (COGS) remains high; theirs drops.
Competitors using AI to predict 'Next Best Action' are converting leads you miss. They are growing faster with the same headcount.
Top talent wants to work with modern tools. Forcing high-performers to do manual drudgery is a major retention risk.
A rapid, structured evaluation of AI readiness across three critical dimensions.
Are they ready? Do staff have the skills to use AI effectively, or are they "playing with chatbots" without real impact?
→ Skills gaps, training needs, adoption barriers
Is the fuel clean? AI is only as good as the data it runs on. Is data trapped in silos, or is it accessible and reliable?
→ Data quality, architecture, accessibility
Are we safe? Is there policy and oversight in place, or are staff using public tools with no guidelines - posing compliance risk?
→ Risk framework, policies, compliance
Most businesses don't know what AI can actually do. I map these patterns to your portfolio companies to identify concrete opportunities.
Compress vast information into concise insights - meeting notes, contract clauses, email chains.
Reduces "Time-to-Knowledge" by up to 80%Create first drafts of text, code, or content - sales outreach, marketing copy, analyst code.
Removes the "Blank Page Problem" and accelerates outputTurn unstructured "messy" data into structured formats - invoices, supplier spreadsheets, documents.
Eliminates manual data entry errors and creates audit trailsUse historical data to suggest the "next best action" - lead scoring, demand forecasting, churn prediction.
Increases conversion rates and optimises resource allocationConversational interfaces that let staff "talk" to internal data - policy questions, financial queries.
Democratises data access across the organisationMost AI projects fail because they start with tools, not problems. My process ensures we build on solid ground.
STEP 1: THE TRUTH
We assess your actual readiness (Data, Skills, Governance) so we don't build on quicksand. We qualify out bad ideas fast.
STEP 2: THE VALUE
We use the 5 Patterns of AI to uncover high-ROI use cases in every department. We don't ask "what can we build?", we ask "where is the friction?".
STEP 3: THE STRATEGY
We prioritise based on Impact vs. Feasibility. We create a clear path to value - ensuring we solve actual business problems, not just IT projects.
Don't spend 6 months building a POC that fails. In just 4 weeks, I'll give you:
Is it worth the cost of an audit to avoid wasting 10x on a failed implementation?
Book a Confidential Discussion