Blog
Notes on diagnosing, prioritising and aligning digital investment.
Short, practical writing from the Forever Foundry Process™: what AI Compass™, Slid3rs™ and FlowRoom™ actually change.
12 October 2026
Do not automate a process nobody would design today
AI agents make it easier to automate an existing process. That does not prove the process deserves to survive. Redesign from the outcome backwards.
11 October 2026
What stops when your most experienced person is unavailable?
When work waits for the one person who knows the answer, expertise becomes a queue. Find the knowledge bottlenecks before buying an AI assistant.
9 October 2026
Your CFO should help choose the AI problem, not just approve the budget
Finance is often brought into AI only to approve a number. Involve the CFO before the business case is written, so value is defined, not just checked.
8 October 2026
The fastest AI build can create the longest dependency
A supplier can build an AI agent fast. The harder question is who can adapt it six months later. Design for ownership before delivery begins.
6 October 2026
AI agents are being given ongoing responsibilities
When an AI agent manages ongoing work, leadership must decide where that responsibility starts, where it ends and who stays accountable for the outcome.
5 October 2026
AI is not killing consulting. It is changing what clients should pay for.
AI is not ending consulting. It is changing what clients should pay for: evidence from across the organisation and decisions leadership will fund.
28 September 2026
The best AI model is a business decision, not a league table
Choosing an AI model before defining the work puts technology first. Define the outcome, errors and cost per case, then let the evidence pick the tools.
25 September 2026
AI can write your requirements. Who checked they were the right ones?
AI can write a polished RFP before anyone has understood the problem. Build the evidence behind the requirement before you ask suppliers to price it.
23 September 2026
AI began delivering value when the conversation moved to business performance
Microsoft's own AI rollout stalled on adoption and began paying off when it started from business outcomes. Give every AI investment a measure that matters.
21 September 2026
A better prediction is only valuable if you can act on it
A supplier-delay prediction is worthless if nobody can act on it in time. Start with the decision, then decide whether prediction is the right investment.
18 September 2026
The real AI scaling problem is deciding what not to scale
Most organisations do not have an AI ideas problem. They have too many pilots competing for the same money and attention. Scale outcomes, not experiments.
16 September 2026
Your AI agent needs a spending limit. Not just a job description.
An AI agent can pursue a goal and still make a decision your business would never approve. Agree its decision limits before switching it on.
14 September 2026
Your next AI opportunity might be hiding between two teams
Cross-team handoffs create work nobody logs as an AI opportunity. Here is how to measure the effort between departments before choosing what to automate.
1 September 2026
Turn complexity into clarity: aligning leadership without another deck
A ranked list means nothing if leadership does not believe it. Here is what changes when alignment is built into the decision, not presented after it.
25 August 2026
Why IT and the business always rank priorities differently
When technical and commercial teams score the same list separately, the gap between their rankings is the most useful data you will get all year.
18 August 2026
How to tell if a problem is worth solving before you act on it
Most reprioritisation fails before day one because the problem was assumed, not measured. Here is what AI Compass™ tests before anything gets ranked.
Start here