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.

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The engagements

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.

AI Portfolio Review · 30 days

$20K–$35K

Deliverable: The Portfolio Verdict

Every AI initiative and embedded vendor FDE, inventoried and scored on value, risk, and readiness. Vendors deploy Forward Deployed Engineers faster than most organizations can manage them. You walk away with a scale / hold / kill call on every line item, a governance playbook for working with FDEs, and your team trained into a cadence that keeps pace.

If necessary, flows into an AI Deployments Lead engagement as ongoing advisory retainer.

Adoption Reset · 60–90 days

$40K–$75K

Deliverable: The Adoption Reset Plan

When a deployment launches and adoption stalls. Diagnosis maps your population onto the Adoption Matrix, then draws a sequenced playbook from the intervention library for the cells where usage is actually stuck: proof seeding, manager enablement, workflow redesign, sustainment. Enablement runs through two workshops, AI Strategy for Leaders (half-day) and a two-day Adoption Enablement Workshop for managers and champions. You walk away with usage that holds past the launch quarter, the toolkits your managers and champions keep, and reinforcement they own themselves.

Range scales with the number of enablement workshops.

Try the Transformation Dynamics Simulation™ →

Reorganization Blueprint · 6–10 weeks

$55K–$85K

Deliverable: The Operating Model Blueprint

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.

Currently available for HR / Talent Operations, Delivery / Professional Services, and Customer Success.

Ongoing

Retained Advisory

A transformation still needs governing and reinforcing after handoff, while the internal teams carry it. The retainer is that steering layer: Tom stays engaged on a monthly cadence to keep the change compounding after the fixed-fee work lands.

Governance & risk monitoring — the portfolio governance model, decision rights, and policy guardrails held as models and regulation move.
Change sustainment — reinforcement so adoption doesn’t erode back to baseline; champion-network health and early warning when a segment stalls.
Value-realization measurement — real output tracked (speed, quality, results), not usage, so the investment keeps proving out.
Core-team enablement — periodic upskilling on new capabilities and plays, keeping the internal team ahead of vendor speed.
Portfolio, vendor & operating-model upkeep — fresh scale/hold/kill calls, vendor and FDE relationship governance, and role/decision-right adjustments as new initiatives land.

Six-month minimum

The method behind the engagements

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, drawn on and adapted to where your program is actually stalling: a library of interventions, the playbooks that sequence them, and the toolkits your own people keep.

A library of interventions

A curated set of adoption moves, each matched to a specific stall on the Adoption Matrix and grounded in a named behavioral framework: Diffusion of Innovations, COM-B, Prosci, Self-Determination Theory. Executive sponsorship, proof seeding, workflow redesign, manager enablement, sustainment. Diagnosis picks the few that move your population and sets the order they run in.

Playbooks that sequence them

Sequences built for the situations that keep recurring: an adoption reset after a launch that stalled, governance for working with vendor Forward Deployed Engineers, a reorganization transition that carries the key people with it. The order is where the value sits. Run the same interventions out of sequence and the change decays.

Toolkits your team keeps

The tangible pieces that stay after the engagement ends. Manager one-pagers and talking tracks, champion enablement kits, a whole-product kit of integrations, templates, and function-specific skill libraries, and measurement moved off training completion onto behavior change. Built to be owned and run internally.

The Transformation Dynamics Simulation™ is that library made interactive: sequence the interventions yourself and watch the adoption curve respond, including the point where change becomes self-sustaining.

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.

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 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.

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 fee, 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, week by week rather than at a final readout. Claims are sourced, and each recommendation has a named owner.

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

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