TDcatalyst Grow · Enterprise & public sector

Most organizations don't have an AI problem. They have a portfolio problem.

Forty pilots, three platforms, no shared definition of done. Adoption that peaks at launch and decays by quarter's end. An org chart designed for work AI has already changed. Grow is fixed-scope consulting that converts that picture into three outcomes: a portfolio with funding decisions made, adoption that holds after the spotlight moves, and an organization that matches the work. Delivered personally by Tom Delaporte — the operator who built an eight-figure workforce exchange customer practice at Eightfold AI, on consulting foundations from Capgemini.

Book a Fit Call See the engagements

The engagements

Three fixed-scope offers. Each delivers concrete decisions.

Every engagement is scoped in writing, priced before it starts, and delivered by Tom personally — no leverage pyramid, no junior team learning on your budget.

AI Portfolio Review · 30 days

Every AI initiative in flight, inventoried and scored against value, risk, and readiness. You walk away with a scale / hold / kill recommendation for each line item, a sequencing roadmap for the next two quarters, and a board-ready readout. Decision-grade in thirty days.

Adoption Reset · 60–90 days

When a deployment launches and adoption stalls. Diagnosis by role and workflow, manager enablement, aligned incentives and policy, measurement shifted from training completion to behavior change. You walk away with usage that survives the quarter after launch — and the number that proves it.

Reorganization Blueprint · 6–10 weeks

When AI absorbs part of the work, roles and decision rights stop matching reality. You walk away with a target operating model, redefined roles and accountability maps, and a sequenced transition plan that brings the key people along.

Organizations that want continuity after a fixed-scope engagement retain Tom on a monthly advisory cadence — portfolio reviews, adoption checkpoints, and organizational calls as they arise.

Proof

Built and delivered at scale.

The engagements above are the productized form of work already done at scale, with commercial accountability attached.

Eightfold AI

Built the workforce exchange customer practice from a standing start into an eight-figure ARR business across Fortune 100 and public-sector clients. Led the Workforce Exchange, Talent Intelligence Platform, and Agentic Scale programs — the deployment, adoption, and workforce work this page offers, run inside live accounts.

Capgemini

Engagement Manager in San Francisco, leading organizational design, change, and M&A integration engagements for global companies, including global pharmaceutical organizations. The reorganization discipline behind the Blueprint engagement was built here, on enterprise-scale programs.

Public sector

Delivered for the DoD Defense Innovation Unit and state labor departments — AI deployment in environments where procurement, policy, and workforce constraints are at their hardest, and where adoption cannot be bought with enthusiasm.

Quantified case studies are shared in the fit call. Track record cited from prior roles; TDcatalyst is an independent practice, not affiliated with or endorsed by any prior employer.

Experimental · Embodied strategic framing

The hardest decisions rarely come clear at a conference table.

Within any Grow engagement, the key working sessions — the portfolio kill decisions, the reorganization trade-offs — can be taken into the field: a facilitated strategy walk on the Pacific coast south of San Francisco. The pace changes what leaders notice and what they are willing to say out loud. It is offered as an experimental component, and the executives who take it tend to repeat 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 to the question the board asks next quarter.

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

How to start

From first call to start of work in two weeks.

Fit 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 scope, fixed price, named deliverables, and the calendar. What you read is what you get; there is no land-and-expand model behind it.

Engagement starts

Work begins within two weeks of signature. Findings arrive in writing as they form, not at the final readout. Every claim traceable, every recommendation owned.

The field — Pacifica coastal ridge

Book a Fit Call

Thirty minutes, video or phone. Bring the program as it actually is — the stalled pilots count as much as the wins.

Book a Fit Call

Start a conversation

Prefer to write. Every note reaches Tom directly.