The AI Transformation Toolkit

That is the entire program. Before the first session you get a written baseline on the metrics you already run — quota per AE, ARR or accounts per CSM, tickets per support head, implementation cycle time, ARR per employee. Every month after that, the same table gets a new column. By day 90 you are not arguing about whether AI is working; you are looking at a before and an after on numbers your board already tracks. No new North Star, no parallel scorecard nobody owns.

Buy it if your people self-serve. Genuinely. If your team reliably completes optional online training, a role-specific content library is cheaper than this and you should start there. But most mid-market companies are meeting-driven — optional course completion runs close to zero, and the library becomes a line item nobody opens. Content is almost never the constraint. Installation is: who owns which workflow, which numbers move, and what happens when the champion gets busy. That is what this program does, and no platform does it.

It is a flat fee scoped to headcount, not a per-seat number, and it is quoted in writing within two business days of the scoping call. What matters more than the number: if you are not seeing value by day 90, you can end it. Anchor it against the alternatives — an internal head of AI runs $300K+ a year before shipping anything, and a big-firm transformation engagement starts around $500K and ends in a deck.

You walk. That is a real term, not a marketing line. The baseline is written down before we start, so at day 90 there is no argument about what was supposed to move — either the numbers moved or they did not. Most engagements continue into an ongoing advisory cadence, but that is a decision you make with evidence in front of you rather than a renewal you have to negotiate out of.

That is the normal case, and it is the first thing the baseline shows. Each department gets placed on a six-level deployment stack based on what it actually does — not what it bought — along with the specific next decision that unblocks it. A wide spread is not a problem to hide; it usually means somebody in the building has already solved a problem the rest of the company is still paying for, and the constraint is distribution rather than capability.

Two parts. First, the baseline tool runs inside your own environment against connectors you have already approved — your data never moves to us. Second, the program includes the access and governance layer: a rollout model that gates tool access on completed training, an acceptable use policy built from a 15-section clause library, and a review path for anything that touches regulated systems. If you have PCI or similar scope, that gets mapped before anyone gets broader access, not after.

No, and you should be suspicious of anyone who promises otherwise on a 90-day timeline. What actually happens is that capacity gets freed inside teams — the same people handle more accounts, more tickets, faster implementations. Some companies use that to grow without hiring; what you do with it is your call, not ours. We also will not let you overstate the result: in real engagements only a portion of any efficiency gain is attributable to AI, and the baseline is designed to show that honestly rather than hand your board a number that falls apart under a follow-up question.

Probably more than a company that has not started. The tool is roughly ten percent of the problem — the other ninety is which workflows get formalized, who owns them, how one team finds what another team built, and whether any of it shows up in the numbers. This program measures outcomes across whatever stack you already have. It does not sell you a replacement for it.

Three sessions across 90 days — one half-day with leadership, one round of department-specific working sessions, and one reconvene near day 90. Between them, your champions do the building and you get a monthly report. The pre-work is a short survey and whatever data exports you can pull. The first artifact lands before session one, so nobody starts from a blank page.