§ About

I advise operational leaders who have to live with the decisions they make.

I've spent the better part of a decade inside mid-market companies at the moment of technology commitment. Not advising from the outside — in the rooms where the decisions get made, with people who have to live with the outcome.

Most AI failures I've observed weren't AI failures. They were diagnosis failures — operating models that didn't catch up, data that didn't exist, processes that shouldn't have been automated in the first place. The framework I use — Shift in 5 — came from enough of those failures to recognize the pattern.

I don't sell tools, chatbots, or technology stacks. I sell diagnosis, strategy, and the discipline to make AI adoption land inside an operating business.

Base
Portugal (Algarve) · Texas
Travel
Travels on-site for client engagements · worldwide
Availability
2 of 6 slots Q2 2026
ABE NADIMI · PORTRAIT PLACEHOLDER
§ 01 — Operating Beliefs

Six things I have stopped arguing about.

01

Diagnose before you prescribe.

The hardest discipline in consulting. Everyone says they do it. Almost nobody does.

02

Don't automate broken work.

AI makes broken processes faster, which makes them worse. Redesign first.

03

Quick wins earn the right to transform.

Shipping a small, real result in week eight buys the trust required to change how work gets done in month twelve.

04

Data readiness before AI.

The Ground phase exists because most failures are data failures dressed up as AI failures.

05

The operating model, not the technology, is the constraint.

The tools are rarely the problem. The decisions the organization hasn't made yet are the problem.

06

You can't outsource the judgment.

AI can scale the execution of good judgment. It cannot replace the judgment itself. That distinction matters at every level of the organization.

§ 02 — Scope

What this practice does not do.

  • Sell software, platforms, or AI tools
  • Implement chatbots, copilots, or AI-native products
  • Replace your existing vendors or technology team
  • Produce roadmaps that require a year of IT work before anything moves

This practice is scoped to diagnosis, strategy, and the decisions that make AI adoption land inside an operating business.

§ 03 — Engagements

How the work gets done.

Every engagement starts with discovery. Before any deliverable, we establish what is actually happening inside the business — not what the technology narrative says should be happening. That's the Ground phase of the Shift in 5 framework.

Work is scoped, named-expert, and delivered in prose — not decks. The advisor on the proposal is the person doing the work. Engagements run in phases, with clear decision points, so neither side is locked into something that isn't working.

Ready to have the conversation?

No pitch. No deck. We talk about where you are, what you've tried, and whether this approach fits what you need.