US launch campaign For people and HR leaders with a stalled AI rollout · US

AI changed the work. Your talent system has not caught up.

The Adoption Recovery Review reads your stalled rollout through the people system: roles, performance criteria, manager enablement, policy. Ten days, AI-native, and it ends in a recovery decision with a 90-day roadmap. The work a change program used to bill $150,000+ for: $12,500 fixed.

Eightfold AI Capgemini Fortune 100 programs Public sector

$12,500
fixed launch fee, scoped in writing before it starts
$150K+
what the same review billed as a traditional change project
10 + 10
days of engagement, then production to delivery
100%
credited toward an Adoption Reset within 30 days
The problem

The work changed. The talent system did not.

AI entered your workflows faster than any policy cycle. Role definitions, review criteria, and manager playbooks still describe the pre-AI job, so usage stays unofficial, value stays unclaimed, and the way people are managed has not changed.

95%

of enterprise GenAI pilots show no measurable P&L impact.

MIT, The GenAI Divide, 2025
Unchanged

role definitions, performance criteria, and policies still measure the pre-AI work, so AI-augmented output goes unrewarded.

The gap this review closes
Managers

carry the change but hold talking points without decision rights over the workflow beneath them.

The strongest lever, left unequipped
Step 1 · Diagnose

Four ways rollouts stall. The diagnostic names yours.

Twelve questions map your deployment onto four researched archetypes, each read on six criteria. Select one: the profile redraws, and the dashed ring marks the deficit that names it.

The Seam OrganizationCharacteristic profile
Deficit: People voice. Strong single-function ownership; the people function was brought in too late to carry the change into working conditions.
  1. Add workforce-side design to the AI strategy from the start: role redesign, manager enablement, the change work that turns access into usage.
  2. Map the seam between product, operations, and people: where handoffs break and accountability blurs.
  3. The 90-day work: redesign the room the transformation is run from.
Step 2 · Sequence

Thirteen plays. The order decides the outcome.

Your roadmap is drawn from a library of thirteen research-backed intervention plays, sequenced by the Transformation Dynamics Simulation™. Click any play: its dependencies light up on the map and its real model parameters open below.

SPONSORSHIP SETS THE CEILING — won directly, or earned by a demonstrated bottom-up win MOTIVATION OPPORTUNITY CAPABILITY SUSTAIN adoption threshold →

The map is the delivery logic: proof gates before social plays, workflow redesign before capability, sustainment after the threshold. Scroll sideways on small screens.

OpportunityMotivationCapabilitySustainment
SponsorshipManager ChannelWhole ProductWorkflow RedesignProof SeedingPeer ProofInaction CostQuiet PathCapability BuildWhen-ThenPolicyCriteriaRitual & Cadence

Thirteen plays

Four categories, one library.
Click any segment for the play's model detail.

The model, live: sequence is the whole game.

The same five plays, two orders. Run everything at once and the proof-gated plays fire before there is proof. Sequence them and the rollout compounds past the threshold.

All five plays at once, week one: adoption peaks at 31%, then decays to ~24%. The proof-gated plays fire before there is proof, and they misfire.

Step 3 · Deliver

You leave with working documents, not slideware.

Everything below exists today: the instruments in the library are applied to your rollout, and the engagement documents are built with your team during the ten days.

TDcatalyst Vendor FDE governance · 12 questions
  1. Where is the running inventory of everything you build here, and who on our side can read it?
  2. Which of our systems and data will you touch, and who approves each new connection?
  3. What are you allowed to decide alone, and where is that line written down?
  4. Who owns the code, the prompts, and the integrations if we part ways?
  5. What measure of our output, not your activity, will show this worked?
…7 more · before the engineers arrive

Vendor FDE governance

In the library
TDcatalyst Review rubric · AI-augmented work
Volume of drafts producedOLD
Judgment on AI-drafted workNEW
Hours logged in the toolOLD
Outcomes shipped, AI in the flowNEW
Course completionsOLD
Capability shown on real tasksNEW
Sequenced late, on purposeCriteria change only after the capability work lands, so nobody is measured against a bar they cannot reach yet.
rewrite the rubric · run the first review against it

Review rubric, redefined

Built with you
TDcatalyst Builder event · day agenda
09:00Vision frame · why this, why us
09:40Problem market · teams pitch real work
10:30Build sprints · pairs, real data
15:30Demos · leaders in the room
Ships by 16:30
Working prototypeon real data, demoed live
Owner + Mondaynamed owner, first cadence set
Demo recordingproof that seeds the next team
0→1 format · repeats monthly

Builder-event playbook

Built with you
Stalled platform

Adoption, made to work

TDcatalyst Recovery Plan
Where the rollout restarts
Deployment review · sample
Copilot · client opsSCALE
Service GenAI assistREPAIR
Contract-review flowRESEQUENCE
Binding constraintManagers were trained, not equipped; usage never entered the workflow.
Success metricWorkflow-embedded use, weekly, owned by Ops.
The 90-day sequence
Wks 1–2 Sponsorship reset Wks 2–5 Workflow redesign Wks 5–8 Peer Proof Relay Wks 8–12 Criteria & cadence
tdcatalyst.com · confidential sample
TDcatalyst Adoption tracking · week 9
47%weekly active +6
31%in-workflow +9
12value cases +3
8/10mgr cadence
wk 1wk 6wk 12
dip at the redesign, then the climb · reviewed in Monday ops

The plan names the pattern and resequences the rollout; the tracker proves the recovery week by week.

Pilot portfolio

Scale, institutionalize, or stop

TDcatalyst Adoption Matrix · worksheet
Precont.Contempl.Prepar.Action
Innov.3%2%1%2%
Early14%11%6%4%
Late9%16%8%3%
Laggards2%8%7%4%
Top stalled cellsEarly Majority · Contemplation (16%) → Peer Proof Relay
enter your percentages · computes as you type
TDcatalyst Pilot portfolio triage
Scale / Institutionalize / Stop
Portfolio governance · sample
Sales-notes agentSCALE
Finance close assistINSTITUTIONALIZE
HR letter generatorSTOP
Decision criteria, applied to every pilot
Value evidence 2+ cases in production Workflow embed >30% in-flow use Named sponsor funds & defends it Cost to serve falls with scale
tdcatalyst.com · confidential sample

For portfolio governance only: every pilot mapped and decided against explicit criteria, written to survive the sponsor conversation.

Starting 0 → 1

Vision, culture, cadence

TDcatalyst Builder event · day agenda
09:00Vision frame · why this, why us
09:40Problem market · teams pitch real work
10:30Build sprints · pairs, real data
15:30Demos · leaders in the room
Ships by 16:30
Working prototypeon real data, demoed live
Owner + Mondaynamed owner, first cadence set
Demo recordingproof that seeds the next team
0→1 format · repeats monthly
TDcatalyst AI charter · 0→1
Vision & culture
We use AI to
We never
Experiments run
90-day cadence
defined together · day one

The charter you define together, the builder events that make it real, the tracker from day one.

Why it holds

Your insights become playbooks. The playbooks get measured.

This is the reason ten days is enough, and the reason the work is not throwaway: an AI-native delivery loop that turns what we learn from your people into customized playbooks, wires each one into your adoption tracking dashboard, and reads the effect of every intervention.

Customized, not templated

Every playbook is written from your interviews, your usage data, and your diagnostic profile: a full adoption and change system, not a binder of generic advice.

Record time, AI-native

Diagnostics, simulation, and drafting run on the practice's own instruments, which is how ten days of engagement replaces a months-long change program.

Wired up, then measured

Deliverables land inside your tracking dashboard, so the effect of each intervention is visible week by week, and the roadmap adjusts to what the data says.

Launch economics

The $150K review, at launch pricing.

This diagnostic, simulation, and roadmap work is what a traditional change project scopes into its first phase and bills six figures for. AI-native delivery collapses the cost, and the launch campaign passes the difference on: fast, inexpensive, and professional enough to defend in front of your board.

Traditional change project, phase one$150K+ · a quarter or more

A consulting team on site for months, interviewing toward a deck.

Internal working groupmonths of employee-hours

Cross-functional and part-time; the review rarely ends in a decision.

Adoption Recovery Review$12,500 · decision in ~4 weeks

Senior, independent, AI-native. A decision and a sequenced roadmap, produced while your team keeps its day jobs.

US launch campaign
$12,500 fixed

The work a change program used to bill $150,000+ for.

Engagement window10 business days
Your team's involvement3–5 hrs / day
Production & delivery+2 weeks
100% of the fee is credited toward an Adoption Reset started within 30 days of delivery.
Discuss a stalled AI deployment
One engagement at a time. 30-minute call, no proposal unless there is a fit.
Where it leads

The Adoption Reset: the roadmap, delivered in 90 days.

The Review hands you the plan. The Reset executes it with you: interventions run in sequence, tracked on the dashboard, adjusted as the data comes in. For a people leader it usually starts in one of four places.

Talent platform

An Eightfold-class talent platform stalled after launch.

Licensed for skills-based talent decisions; recruiters and managers still run the old workflows beside it.

The Reset re-sequences the rollout around the talent workflows the platform was bought for: workflow-embedded use past the plateau, license spend defensible at renewal.

Enterprise AI seats

Copilot seats rolled out; roles and criteria never moved.

Log-ins happened. Job architecture, review rubrics, and reward signals still describe pre-AI work.

The Reset redesigns roles before retraining people and rewrites the criteria: AI-augmented output becomes what gets measured and rewarded.

Policy & practice

The AI policy exists on paper; practice runs ahead of it.

Usage outpaces the policy, and managers improvise the rules team by team.

The Reset codifies policy and standards from real practice, sequenced after adoption is real: rules people actually follow, owned and enforced.

HR goes 0 → 1

Your own people function moving into AI-native work.

No stalled rollout to recover: the mandate is an AI-native HR function, from a standing start.

The Reset runs the 0→1 arc: charter, builder events, and a tracking cadence that makes the new way the normal way in 90 days.

The Review fee is the down payment. Start a Reset within 30 days of delivery and 100% of the $12,500 is credited against it. Targeted briefs per situation are in preparation; the entry point for all of them is the same 30-minute call.

Common questions

Before you ask.

Vendor adoption teams are measured on your deployment; this review is measured on whether the work changed. The two are complementary. Only an independent assessment reads the rollout against your outcomes rather than the vendor's usage dashboard.
Many organizations start there. The structural limitation is that internal reviews take months of senior time and rarely end in a decision, because every initiative already has an internal owner. Independence and the instrument stack are most of what the review provides.
Both, in the right order. Policy and performance criteria are sustain plays in the model: they are codified after the capability work lands and adoption is real, so they reinforce a norm instead of legislating one that does not exist yet. The roadmap sequences them for you, with owners.
This is the entry point, sized to fit inside an existing program budget. It stands alone, and if the larger work is warranted, the full fee is credited against it.
Tom Delaporte
Tom Delaporte · Founder, TDcatalyst

Every engagement is delivered personally. Built the workforce exchange practice at Eightfold AI from a standing start to eight-figure ARR across Fortune 100 and public-sector accounts; led organizational design and change at Capgemini; ran HR and transformation programs across five countries.

Eightfold AI · 8-figure ARR Capgemini · org design & change Operator · 5 countries CCMP · SAFe

Track record cited from prior roles. TDcatalyst is an independent practice, not affiliated with or endorsed by any prior employer.

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Bring the deployment as it actually is.

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