Insights

Plain English on AI, operating models, and what actually pays back.

We write what we would say on a call. Specific systems, specific numbers, real sources. No platitudes, no buzzwords, no pretending the answer is a tool.

Four pieces to start with.

Manufacturing4 min read
ERP for UK specialist manufacturers: when to upgrade, when to wait
Most UK specialist manufacturers we meet are 18 months away from being ready for the ERP they think they need today. Here is how to tell the difference, and what to fix first.
Luke Austin27 May 2026
Recruitment and staffing6 min read
Bullhorn automation that actually pays back: a recruiter's playbook
Most Bullhorn automation work underwhelms because it is bolted onto dirty data and unclear ownership. Here are the three workflows that consistently pay back, and the ones we have stopped recommending.
Nuno Neto27 May 2026
All sectors4 min read
An AI governance policy that fits an SME (and what your acceptable-use policy should cover)
Most SMEs we work with do not need a 40-page AI governance framework. They need a one-page acceptable-use policy that ships in week one, and a quarterly review. Here is the template we use.
Luke Austin27 May 2026
All sectors6 min read
The evidence for operating-model-first AI (and why 95% of pilots fail)
MIT's NANDA initiative found that 95% of generative AI pilots produce no measurable bottom-line impact. BCG found 74% of companies cannot scale AI value. The pattern is consistent, and it is not about the models.
Nuno Neto27 May 2026

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Plain English on AI, operating models, and what actually pays back.

Four pieces to start with.

ERP for UK specialist manufacturers: when to upgrade, when to wait

Bullhorn automation that actually pays back: a recruiter's playbook

An AI governance policy that fits an SME (and what your acceptable-use policy should cover)

The evidence for operating-model-first AI (and why 95% of pilots fail)

Want our view on your operating model?