Operations transformation, with AI where it earns its place

We make the operating numbers real, assign ownership to the work behind them, and then automate what should be automated. Map, then build, then train, then run -- in that order, every time.

The method comes out of running an operation with the exact problems described here -- KPIs that did not reconcile, processes nobody owned, and automation sitting on top of both. Every step in it exists because one of those problems had to be solved from the inside first. The credential is the operating experience, not a framework bought off a shelf.

We work as a firm, not as a certifier -- not an institute, a university, an accredited body or a standards authority, and we neither hold nor issue a certification.

We use the NIST AI Risk Management Framework as a governance reference. Referencing a framework is not certification by its author, and nobody should describe it that way -- including us.

The brand is the team, not a person. The work is delivered by the firm, and the name on every report is the firm's.

One accountable team does diagnosis, build and measurement. The alternative is integrating two or three vendors yourself, which is the same coordination problem you already have.

We work on three shapes of process and refuse the rest. Lead to cash. Request to resolution. Work to financial visibility. A bounded delivery surface is what lets the same work get cheaper to deliver each time we run it, and refusing work outside those three is a deliberate choice.

We will not run more than ten engagements at once. Senior delivery is the reason. A capped book is what keeps the people who diagnosed your process the same people who build and measure it.

We have written our own exit rules. The version of us that needs them will have reasons not to use them. If the diagnostic says an implementation will not clear 3-to-1, we say no and we stop. If fewer than three diagnostics in ten convert, the offer or the target is wrong and we stop selling. If the median measured benefit is under twice our fees, the price is above the value and we reprice. If delivery is running far over what we estimated, we fix the method before we take on more work. If we cannot name the human who owns a process sixty days into an engagement, we end it rather than keep billing.

The program is capped at ten companies -- the same ten the book holds, not a number on top of it. Each place starts with a paid Operating Diagnostic at $12,500, credited in full against implementation if they proceed.

Partners get pricing locked for 24 months, 20% off the first implementation, and a direct line to the partner running your engagement. In exchange we ask permission to publish a de-identified case study. A positive result is not required, and that permission is a separate piece of paper from the engagement -- it changes nothing about the price, the scope or the order we do the work in. If an engagement is discounted or a fee is tied to a result, we disclose that inside anything we publish about it, as the FTC's endorsement guidance requires.

Performance fees are available after the diagnostic, once a baseline exists: a reduced fixed fee plus a negotiated share of verified benefit over six to twelve months, capped. Before the diagnostic there is no baseline to price against, and a performance fee without one buys an argument about attribution instead of a measurement.

We will not invent a number. We will not put a client's name on this site without written permission. We will not sum capacity released into a headline dollar figure to make a report look better -- hours are reported as hours until a role was actually eliminated or a hire actually avoided. We will not describe a before-and-after comparison as proof of cause. We will not imply an audit, give tax or accounting opinions, or take custody of your funds.

And we will not make renewal depend on holding your operation hostage. Firms that do that get one renewal and no referrals.