ManufacturingPredict
GE Predix
Platform built ahead of any evidence business units would adopt it.
Missing layer · No adoption framework existed at all.
Adoption risk intelligence
The adoptionintelligence layer
Organisations don't fail at transformation because they choose the wrong technology. They fail because they have no system for predicting, monitoring or engineering adoption. Budget, governance and technical delivery are tracked in real time. Adoption is not.
Illustrative data
0of 100
Adoption Risk Score
Sites × stakeholder groups
FrontlineManagersOpsFinance
Leeds
Bristol
Glasgow
HQ
Cardiff
Score vs baseline8 wks
Recommended interventions
- Workflow simplificationDeployed
- Visible quick-win programmeRecommended
- Decision-rights clarificationRecommended
Built for transformation programmes in
- Manufacturing
- Healthcare
- Aviation
- Retail
- Finance
- Technology
- Manufacturing
- Healthcare
- Aviation
- Retail
- Finance
- Technology
- Manufacturing
- Healthcare
- Aviation
- Retail
- Finance
- Technology
- Manufacturing
- Healthcare
- Aviation
- Retail
- Finance
- Technology
The problem
Adoption is the one risknobody measures, untilthe programme fails.
Tracked in real time today
- Budget
- Governance
- Technical delivery
- Cyber risk
- AdoptionNot tracked
Across 25 major transformation failures, one root cause repeats: nothing told leadership, before failure, where resistance was concentrated, how severe it was, or what would resolve it. Financial and cyber risk have a live dashboard. Adoption does not.
How it works
Three integrated layers.One continuous signal.
Pre-launch
A baseline Adoption Risk Score per stakeholder group and site, before a single training session runs.
- Org network mapping
- Change-fatigue history
- Readiness diagnostic
- Four-driver scoring
Baseline heatmapIllustrative
FrontlineManagersOpsFinance
Leeds
Bristol
Glasgow
HQ
Cardiff
LowMediumHigh
The continuous signal
One Adoption Risk Score,from first diagnostic to long after go-live.
Illustrative trajectory. Lower is better.
The model
Four drivers.The weakest one tells you where to act.
A complexity spike triggers workflow simplification, not generic training.
- 0130%
Autonomy
How much control people keep over how they work once the change lands. Loss of autonomy is the fastest route to workarounds.
- 0230%
Complexity
How hard the new process or system is to use day to day, relative to what it replaces.
- 0325%
Reward
Whether people can see what they personally gain (time, recognition, fewer frustrations) from adopting.
- 0415%
Governance
Whether decision rights, accountability and support routes are clear enough for people to commit.
Evidence
0
documented transformation failures. One missing layer.
- AutomotivePredict
VW Cariad
Software unit launched without assessing readiness across brands.
Missing layer · No adoption framework existed at all.
FinancePredictASX CHESS replacement
Market participants' readiness was never baselined before build.
Missing layer · No adoption framework existed at all.
- TechnologyPredict
Nokia
Internal resistance to platform change went unmeasured at leadership level.
Missing layer · No adoption framework existed at all.
HealthcarePredictIBM Watson Health
Clinician workflow fit was assumed rather than assessed.
Missing layer · No adoption framework existed at all.
- HealthcareMonitor
NHS NPfIT
Clinical adoption went unmeasured until systems were already live.
Missing layer · Adoption went unmeasured until go-live.
RetailMonitorRevlon ERP
Operational breakdown surfaced only after go-live disrupted supply.
Missing layer · Adoption went unmeasured until go-live.
AviationEngineerBA IT outage
Change proceeded without a readiness gate before cutover.
Missing layer · No resistance or readiness gate before cutover.
- AviationEngineer
Southwest Airlines
Legacy-process resistance was never engineered out before peak load.
Missing layer · No resistance or readiness gate before cutover.
Read the full analysis
The HTIE Adoption Risk Report 2026. All 25 cases mapped to the missing layer.
What you get
Everything needed to treatadoption as a managed risk.
01
Stakeholder & site risk scoring
An Adoption Risk Score for every group and site, with the weakest driver named.
02
Org network mapping
See where influence sits and where resistance can spread.
03
Pulse micro-surveys
Short, frequent check-ins that feed the live score without survey fatigue.
04
Champion sentiment tracking
Early warning from the people closest to the change.
05
Driver-matched playbooks
Interventions tied to the failing driver, deployed to the right segment.
06
Executive & PMO reporting
Board-ready adoption status alongside budget, delivery and risk.
Who it's for
Built for the peopleaccountable for the outcome.
Programme & PMO leads
Adoption tracked with the same discipline as budget and milestones: one score, one baseline, clear variance.
Change & people leaders
Evidence of where resistance is concentrated and which intervention will move it, instead of blanket training.
Executive sponsors
An early, defensible view of whether the investment will land, before go-live rather than after.
Pilot programme
A three-phasepath to validation.
Your existing change tracking stays in place throughout. HTIE runs alongside it.
Phase 1
Retrospective diagnostic
Validate the Predict model against a past transformation with a known outcome.
- Duration
- 3 to 6 months
- You provide
- Data and access
Phase 2
Live monitoring
Run HTIE alongside your existing change tracking during an active rollout.
- Duration
- 3 to 6 months
- You provide
- Data and access
Phase 3
Full-loop pilot
Predict, monitor and engineer, measured against an unpiloted control site.
- Duration
- 3 to 6 months
- You provide
- Data and access
About Humaine Solutions
Making adoptionas measurable as budget.
Humaine Solutions builds HTIE so leaders can see, before go-live, where a transformation will fail to land with the people it's meant for, and act on it. Based in Manchester, UK.
FAQ
Questions leaders ask