SAGIRBook a discovery call

Insights

Field notes on lean, AI-enabled transformation.

Written from live engagements rather than a research desk — what worked, what the AI tooling actually saved, and where the model has limits.

Featured · AI in practice · Aug 2026

AI-driven consulting: what actually changes in the delivery model

A breakdown of where AI removed effort across four engagements — synthesis, requirements, test cases — and the two places it created new review burden instead of removing it.

Read the piece →

article imagery — 4:3

All pieces

AllAI in practiceOperating modelDeliveryRegulated industries
The one-lead model: why single accountability beats the pyramidWhere multi-tier consulting structures lose information, what that costs in elapsed time, and the engagement sizes where a single lead genuinely cannot scale.Operating model
Jul 2026
Building MVPs faster with AI — and where it still pays to slow downA practical account of compressing an eight-week design phase into two, and the three review gates we added back after the first attempt.Delivery
Jun 2026
Using AI on client data in a regulated institutionThe tooling agreement, data-handling boundary and review discipline we bring to every engagement — and the questions procurement teams should be asking.Regulated industries
May 2026
Adoption is a number, not a training sessionHow to instrument a new workflow so post-launch adoption is measurable, and what the 60-day curve usually tells you about the design.Delivery
Apr 2026
Scoping the thinnest slice that proves valueA repeatable method for cutting a twelve-month roadmap down to a three-week MVP without losing the business case behind it.Operating model
Mar 2026

One note a month, from live engagements.

No newsletter cadence for its own sake — it goes out when there is something worth writing down.

Next step

Bring one problem. We'll scope it in two weeks.

Book a discovery call Read the approach