Insights
Written from engagements that reached production — what worked, what didn't, and what it cost to find out.
Guides
The Complete Guide to AI Implementation for Mid-Market Companies
What separates AI projects that reach production from the ones that stall: sequencing, data readiness, evaluation, governance, and adoption.
Read the guide 14 min
AI Strategy for Growing Businesses: What Works, What Doesn't, and What to Do First
How to build an AI strategy that survives contact with your operations: where value actually sits, what to sequence, and which use cases to refuse.
Read the guide 13 min
Business Intelligence for Companies That Are Done Flying Blind
Why most BI projects produce dashboards nobody opens — and what to build instead: decisions first, numbers people trust, reporting that arrives unasked.
Read the guide 14 min
Articles
Why Your AI Pilot Never Reached Production (And What to Do Instead)
Pilots succeed and deployments fail for structural reasons, not technical ones. The four gaps that kill them, and how to scope so they don't appear.
Read 5 min
What 300 Person-Hours Per Week Actually Costs — And How Automation Reclaims Them
How to cost manual process work honestly — loaded rate, error rate, and the scaling constraint — and what changes when 50+ recurring tasks are automated.
Read 5 min
Multi-Agent AI Systems Explained: What They Are and When You Actually Need One
What a multi-agent system is, why splitting work across specialised agents improves accuracy and auditability, and when one model is the better answer.
Read 5 min
The Restaurant Owner's Guide to AI: What's Real, What's Hype, and Where to Start
A practical read on where AI saves a restaurant operator real time and money, what to ignore, and what to fix before buying anything.
Read 5 min
Zero Audit Findings: How to Deploy AI in a Regulated Environment Without Losing Sleep
The architectural decisions that make an AI deployment defensible under audit: redaction, traceability, evaluation evidence, human checkpoints.
Read 5 min
Rather just talk it through?
30 minutes, no pitch decks, no scope documents until the problem is clear.