Everything we know about making AI work, published.
Five capability guides built from cited research rather than vendor claims. Every figure names its source and year. Every page says where AI is the wrong answer — because on the current evidence, that is most of the time.
Four figures that should shape any AI decision.
Each one names its source and year. If a vendor shows you a statistic without both, ask where it came from — the answer is usually nowhere.
of enterprise GenAI pilots showed no measurable P&L impact
of agentic AI projects Gartner expects to be cancelled by end-2027
of developers now use AI tools — up 14 points year on year
of organisations reported using AI in 2024, up from 55%
Five capabilities, in the order they matter.
Read them in sequence and they build an argument. Land on any one of them and it stands alone.
AI Readiness: What Has to Be True Before You Start
Roughly 95% of enterprise GenAI pilots produce no measurable P&L impact. The two prerequisites that separate the rest are free to diagnose and absent from every vendor deck.
Read the guide →Agentic Workflows: What They Are and When They Survive Production
Gartner expects over 40% of agentic projects to be cancelled by end-2027, naming cost, unclear value and weak risk controls. All three are design decisions.
Read the guide →RAG and Enterprise Knowledge: Making Models Answer From Your Data
RAG is the most over-sold and under-specified term in enterprise AI. What it genuinely fixes, and the part that decides whether it works.
Read the guide →AI-Assisted Engineering: What the Data Says About Speed and Stability
90% of developers use AI tools. 30% report little or no trust in the output. Both findings are from the same study, and both are true.
Read the guide →AI Governance: The Controls That Actually Prevent Incidents
Most AI governance is a document nobody reads. Four controls prevent the incidents that actually happen, and all four are mechanical.
Read the guide →Every statistic on these pages carries its source and year on the chart itself: MIT NANDA's State of AI in Business 2025, Gartner's June 2025 agentic-AI forecast, Google's 2025 DORA report, and Stanford HAI's 2025 AI Index. Where a number comes from our own delivery it is labelled as ours. Nothing is estimated, rounded up, or reused across pages.
Find out where you actually stand.
Six evidence tests across data quality, process definition, governance, integration, adoption and measurement. Four minutes, ungated, and it will tell you plainly if you are not ready.
Run the readiness assessment →Or ask a specific question.
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