Lab 02 · Process & Data

Fast AI.
Broken Flow.

The AI is fast. The flow isn't — because broken processes and bad data block every handoff. That delay is the Silo Tax, and it's quietly eating your AI Return of Investment and slowing down your business.

Field test · November 2026
live · the silo taxLead-to-Cash
TraditionalSiloed process · junk data
Cash
GenAI tasks taken over0%
Cash in0 days
End-to-endOne process · clean data
Cash
GenAI tasks taken over0%
Cash in0 days
Same order, two process designs — that gap is the Silo Tax.
The Problem

AI Stuck in Your Old Bottlenecks

AI doesn’t fix your slow process—it just inherits it. Instead of speeding up your , Lead-to-Order Cycle it gets stuck chasing the same messy data and broken handoffs your team always faced. The real drag isn’t the tech —it’s the friction you never measure..

Real-World BreakdownA €120,000 manufacturing order — quote to delivered
41days lead time
≈ 11 days real work
≈ 30 days wasted — waiting, re-typing, chasing
What adds value — the work the customer pays for What adds delay — pure waste
Most of those 41 days are dead time — margin lost, patience tested. If your customer saw the bill, they’d never pay it. But you carry it, every single day, in your margin and EBIT.
Which work should you kill—not automate?

Nobody can tell you yet—end-to-end Lead-to-Cash has never been tested by industry, with real teams and real data. The split below is the industry's best guess. Lab02 turns that guessing into measured fact—by industry.

What Adds Valuefor these the customer is willing to pay
  • Packing and shipping
  • Engineering to spec
  • Building and assembling
  • Final quality checks
What Bruns Marginfor these the customer is unwilling to pay
  • Manual handovers and fixes
  • Untangling data messes
  • Re-enter same data
  • Wait in queues

Think it's a small tax? Let's see your total.

Interactive Put in your numbers. Watch the tax add up.
41
11
50
60
hours per month, spent on non-value-adding tasks
Silo Tax per month (€)
A rough estimate from your own inputs — waste days × 8 h × orders a month × loaded hourly cost. Lab 02's simulation produces the real, per-industry number.
The Market Gap

Why nobody can hand you this playbook yet

More than 80% of companies that put GenAI into their value chain — chasing shorter cycle times, lower error rates, fatter margins — get no measurable return; MIT puts the figure at 95% (MIT NANDA, 2025). The cause isn’t the models. EY finds the real barrier is wiring AI into existing processes — it demands process re-engineering and continuous, governed data flow (EY, 2025). Nobody has done that work in the open. Lab 02 does.

Most attemptsLab 02

Tested on one desk — never across the chain

Every study measures GenAI on an isolated task. None has tested where the value-chain gains actually live: inside a Lead-to-Cash process harmonized end to end, across business units and subsidiaries. Lab 02 runs it on the un-siloed chain — the only place cycle time, error rate and margin really move.

Most attemptsLab 02

Your backbone is chosen by who sells it

Which systems should carry GenAI? Today a system integrator steers you to the vendors it holds contracts and capacity with — not the best fit for your business, and never an open search for a better answer. Lab 02 is vendor-neutral and pre-registered, so the operational backbone is chosen on evidence, not commissions.

Most attemptsLab 02

Bolt-on AI just automates the bottleneck

The jobs debate rages — but nobody has redesigned the process for GenAI or built the governed data layer it needs to work. Bolt it onto broken handoffs and dirty data and you automate the problem: not faster, just costlier. Lab 02 rebuilds the process and the data so GenAI runs free, not caged.

Most attemptsLab 02

Old models always miss a pillar

Proven change models exist — but there’s always one pillar missing: sometimes Data, sometimes People, sometimes Culture. Lab02 puts every pillar to the test — People, Architecture, Routines, Culture, and Data — so you finally see what your transformation is really standing on.

Stop guessing. Start measuring what actually moves cycle time, error rate and margin — the truth your value chain has never been given.

MIT NANDA. (2025). The GenAI divide: State of AI in business 2025. Massachusetts Institute of Technology, Project NANDA.  ·  Ernst & Young. (2025). EY AI Pulse Survey & Responsible AI insights. EY US.

Our Hypotheses

The bets behind Lab 02 — and why process and data aren't optional

We don't guess. Five research questions, pre-registered on OSF as directional hypotheses and built to be broken, not just confirmed. Track each bet: the stall we see in the field, the two things we think break it, and why — if none can be disproven — redesigning the process and unifying the data stops being a project and becomes mission-critical.

Our Methodology

Lab 02, Unfiltered: From Idea to Proof

We show our work — every stage, every decision. Follow the story from the first hypothesis toward the field test, and see exactly how Lab 02 will deliver proof you can trust.

The Relationship We Test

Does redesigning the process — on unified data — actually move lead-to-cash speed? We run a traditional siloed process head-to-head against an end-to-end redesign, and watch what it does to cycle time.

moderatorSingle Source of TruthUnified data layer vs fragmented CRM / ERP
Does the redesign pay off on any data? Single Source of Truth is the make-or-break: on one unified, governed data layer the speed gain is large — on fragmented CRM/ERP data it collapses.
predictorProcess Condition
SiloedEnd-to-End
direct effect
outcomeLead-to-Cash Cycle Timeper order · days
indirect effect
Process Condition
mediatorNumber of Handoffs
Cycle Time
Handoffs are the mediator — every transfer between a role, silo or system is dead time. Collect them up and the cycle gets shorter.
This is the headline relationship. The full variable map — every independent and dependent variable, the mediator and the moderator — publishes with our OSF pre-registration, planned for Aug 2026.
Pre-registration on OSF · planned Aug 2026 Field test · November 2026
Where This Leads

Lab 02 is where most lose their grip

Lab01 got you to base camp—Lab02 is where the real danger starts. On Westerman’s risk slope, Level 2 is the dead zone: most companies stall or slide back. Digital transformation isn’t a switch—it’s a steep, exposed climb. The rewards get bigger, but so do the risks. Survive Level 2, and you earn real competitive advantage. Hover or tap tap to see why most slip—and what it takes to summit.

Reward → AI maturity →
3–5 yrs
to master the risk slope from Level 1 to Level 3. That's the runway your company needs to reach the top — where industry leaders are made and market share is won. Miss it, and you'll be chasing the frontrunners who already claimed the peak.
80%
get stuck and burn out at Level 2 — the messy middle where most transformations fail. Siloed processes, weak data governance, outdated roles, no digital backbone, culture that resists change. This is where the wheels come off — and most never recover.
Unlock real value

Lab02 isn’t theory — it’s your playbook.

We’re building three breakthrough tools to break silos, fix your data, and finally make end-to-end GenAI a reality. The fourth? That’s what Lab02 will reveal—because in the risk zone, the real answers are found, not guessed.

T1

L2C Reference Process Atlas

Peer-reviewed, industry-specific blueprints with live data and GenAI touchpoints. Download, adapt, and act—no paywall, no guesswork.

Cuts wasted silo tax
T2

GenAI Integration Decision Map

No more guessing where to plug in GenAI. This tool shows you exactly where GenAI will move the needle—complete with confidence levels, not hype..

Prioritize GenAI where it works
T3

Job Transformation Forecaster

See which roles change, how, and where. Forecasts role shifts and future skills, so you can get ahead—before disruption hits.

Maps your readiness for Level 3

Level 2 isn’t a checkpoint—it’s the danger zone. Crack it now, and you’re not just talking transformation—you’re outpacing the 80% who stall out.

Tools ship to partners first — immediately after the field study validates what actually works. Partners get the edge before anyone else: GenAI optimized process blueprints, higher data quality, and clear proof of readiness for the next GenAI leap. Want that advantage on your side? Become a partner now →

Partner seats available

Stop paying a tax
you never agreed to.

Put your team in the only field study that exposes the real cost of siloed AI — and walk away armed to slash it.

Field Test March & April 2027 For E2E Process Teams ~4.5 h per team