Our practical guides
ROI, production deployment, choosing the right partner: our guides for deciding with confidence.
The ROI of an AI project, measured before you start
How to calculate and secure the ROI of an AI project: baseline, value levers, formula, pitfalls. The method for deciding before investing, not after.
Read the guide →Why most AI POCs never reach production
Why most AI POCs never reach production, and the method to get there: baseline, adoption, industrialisation, governance.
Read the guide →Where AI really creates value in a fund
Where AI really creates value in a fund: sourcing, due diligence, portfolio monitoring, LP relations. A guide to moving from testing to industrialisation.
Read the guide →Enterprise AI, explained without jargon
Enterprise AI terms explained simply, for business leaders: RAG, AI agent, LLMOps, fine-tuning, POC, sovereign AI. No needless jargon.
Read the guide →RAG or fine-tuning: which one for your AI project
RAG and fine-tuning meet different needs. How to tell them apart, when to combine them, and why RAG is often the best place to start.
Read the guide →Build or buy your AI solution
Generic SaaS, custom development, or both: the decision framework for choosing between buying an AI solution and having one built.
Read the guide →Let's start with a single workflow
The entry point is simple, bounded, and you walk away with something useful either way.
You pick a workflow that costs you time or margin.
Within a few weeks, we diagnose it with your teams.
You leave with a costed plan and a first proof of value.
Whether you take it further or not.