TDcatalyst Grow · Deploy

Most organizations deploying AI have a transformation problem.

The tools are deployed and the work looks the same. That is where programs stall: adoption peaks at launch and decays by quarter's end, and the org chart still describes work AI has already changed. Grow is fixed-fee behavioral and organizational consulting, sequenced so the change compounds. Delivered personally by Tom Delaporte, who built an eight-figure workforce exchange practice at Eightfold AI, on consulting foundations from Capgemini.

3fixed-fee engagements 13interventions in the library 30–90days, scoped in writing

Grow with AI See the engagements

Week 0 · How AI entered

Pick yours

A department-level AI platform: licensed, launched, and stuck at 15–30% adoption, most of it performative.

See the engagement that answers it →

Who it's for

Leaders accountable for how AI enters the operating model.

The typical client is a transformation, AI, technology, or workforce leader at a mid-to-large enterprise or a public-sector organization: someone whose name is attached to the AI line in the budget and facing the questions leadership has to answer next quarter.

Fortune 100 enterprises Public sector Regulated industries Agentic AI programs Workforce transformation

Days 1–10 · Name what stalled

Three fixed-fee offers, each ending in concrete decisions.

Most clients choose one, based on where the transformation is stalling. Every engagement is scoped in writing, priced before it starts, and delivered by Tom personally.

Launch pricing · the entry point The Adoption Recovery Review: ten business days, fixed fee. Not sure which engagement, or not ready for one? Start here: the stall diagnosed, the 90-day roadmap written, credited in full against an Adoption Reset started within 30 days. Assumes a 50–100 person organization, up to 3 executives leading the transformation. The launch cohort builds the case-study base. $25,000 $12,500 Fixed · 10 business days Grow with AI →

Days 11–90 · The reset, sequenced

A fixed fee is possible because the method is already built.

The engagements are not assembled from scratch each time. Behind them sits a standing body of transformation work: a library of interventions grounded in named frameworks, the playbooks that sequence them, and the toolkits your own people keep. The delivery flywheel, the engagement documents, and all thirteen playbooks are on the method page, up close.

Open the method and the instrument library →

Context in, playbooks out, the dashboard reads what lands, and the next move is chosen on that evidence.

The method, made interactive

Sequence the interventions yourself.

The Transformation Dynamics Simulation™ runs the intervention library as a model. Order the plays, watch the adoption curve respond, and find the point where change becomes self-sustaining.

Open the Simulator

Delivered · What this produced before

Built and delivered at scale.

The engagements above are the productized form of work already done at scale, with commercial accountability attached. Behind them are three seats held in sequence: the HR executive who lived with the systems, the consultant who redesigned global organizations, the vendor who delivered the platforms.

Eightfold AI

8-figure ARR practice, built from a standing start

Fortune 500 and Global 500 accounts, and state departments
Workforce Exchange, Talent Intelligence Platform, Agentic Scale
The vendor’s view of why adoption stalls after launch

Capgemini

$2.5B pharmaceutical acquisition, Day-1 ready

4,000-person global sales org, CRM adoption lifted
15,000-person talent group, operating model redesigned
Engagement Manager, San Francisco

Public sector

6 state and territorial labor departments, New York to Puerto Rico

Defense Innovation Unit, Department of Defense (GigEagle)
Procurement, policy and workforce constraints at their hardest
Where adoption cannot be bought with enthusiasm

25 named organizations across five industries and the public sector, over 25 programs delivered. See whoHide

Pharmaceutical & life sciences

Roche / Genentech
Sanofi
Bayer

Technology & consulting

Nokia
Netflix
Capgemini Consulting
iGate

Consumer, retail & travel

Colgate-Palmolive
Kroger
Meijer
Domino’s
Carnival Cruise Line

Industrial & manufacturing

Schneider Electric
John Deere
Applied Materials
W. L. Gore (Gore-Tex)

Public sector, defense & workforce

Defense Innovation Unit (Dept. of Defense)
State of New York
State of Florida
State of Colorado
State of Indiana
District of Columbia
Government of Puerto Rico
Allegis
OneTen

Delivered in prior roles. Quantified case studies are shared in the first call. TDcatalyst is an independent practice, not affiliated with or endorsed by any prior employer.

Before day 1 · How it begins

From first call to start of work.

The first call · 30 minutes

Bring the program as it actually is. The stalled pilots count as much as the wins. You leave the call knowing whether this is a fit and which engagement applies. No follow-up sequence either way.

Written proposal · within a week

Fixed fee, named deliverables, and the calendar. What you read is what you get. No land-and-expand model.

Engagement starts

Work begins within two weeks of signature. Findings arrive in writing as they form, week by week rather than at a final readout. Claims are sourced, and each recommendation has a named owner.

The field — Pacifica coastal ridge

Get started

Bring the program as it actually is.

A 30-minute call, video or phone. The stalled pilots count as much as the wins, and there is nothing to resolve beforehand.

Grow with AI

What the call produces

Your situation, named. Which of the four situations on this page your program matches, and why.
The engagement that fits, or none. AI Portfolio Review, Adoption Reset, Reorganization Blueprint, Retained Advisory, or the honest read that this is not a fit.
Proposal scoping. The key elements a first proposal needs.

Prefer email? tom@tdcatalyst.com