You've already invested in AI.
The same gap blocked every project.

vendor pilotCRM integrationtraining dataproof of conceptstakeholder buy-inuse case mappingsandbox environmentROI projectionexecutive sponsorpilot teamsuccess metricsadoption ratechange managementadoption frameworkcultural readinessexecutive alignmenttraining programchampion networkcommunication planresistance mappingdata quality auditgovernance modelstakeholder alignmentcurrent statenew platformmigration planRAG architecturevector databaseembedding modelfine-tuningAPI gatewayservice meshinference endpointmonitoring setuptoken limitsdeployment config

PROJECT 1 · $400K · Vendor pilot

Promising results in sandbox

PROJECT 2 · $500K · Consultant engagement

They said culture wasn’t ready

PROJECT 3 · $800K · Platform migration

Different vendor, same problems

PROJECT 1 · $400K · Vendor pilot

PROJECT 2 · $500K · Consultant engagement

PROJECT 3 · $800K · Platform migration

Formality
L2
L3
Capture
L2
L4
Structure
L1
L4
Accessibility
L1
L4
Maintenance
L1
L3
Integration
L1
L3

$1.7M spent. Three projects. Three diagnoses. Same profile.

PATH A: PRODUCT-FIRST

6-12m
3-6m
6-12m
3-6m
18-36m

36-60 months · $2-5M+

The money went up. The infrastructure didn't move.

INFRASTRUCTURE:L1-L2 (flat)

PATH B: INFRASTRUCTURE-FIRST

2-4w
6-9m
9-15m

18-24 months

INFRASTRUCTURE:

Every previous diagnosis was unfalsifiable.
Culture. Adoption. Data quality.
This one is binary: the structure exists or it doesn't.

The CMC Deployability Diagnostic

One system. One methodology. Binary results. The question you bring determines the output you get — single-capability fit, vendor comparison, portfolio screening, or full infrastructure profile. Same 6-dimension model underneath.

Feasibility control before capital is committed.

2–3% of deployment decision2–12 weeks

Typical: $15K–$150K depending on scope

See full scope →

Not sure yet? Check Deployability (free, 10 min)

Frequently Asked Questions

What is a CMC assessment?

A CMC (Context Modelling Capability) assessment measures your organisation's structural coherence across 6 structural levers that determine the operating range for automated decision systems. The assessment compares your coherence profile against the infrastructure requirements of specific AI capabilities — defining your operating range before procurement, not after.

How does CMC differ from standard AI consulting assessments?

Standard AI assessments evaluate technology stacks and vendor fit. CMC measures the structural infrastructure that determines whether AI can function at all — across 6 structural levers covering process documentation, knowledge capture, data standardisation, information retrieval, data currency, and system connectivity. A structural shortfall of 2+ levels in any single lever predicts deployment failure regardless of the vendor or model selected.

What diagnostic formats are available?

CMC offers 8 diagnostic formats across two categories. Operator diagnostics include: Capability Assessment ($15K-$30K), Vendor Requirements Assessment (2-3% TCO), Deployment Gap Analysis ($50K-$150K), Infrastructure Diagnostic ($100K-$300K), and Dependency Sequence Mapping ($40K-$100K). PE/VC diagnostics include: Pre-Acquisition Technical Diligence ($25K-$35K), Portfolio Screening ($60K-$80K), and Full Portfolio Diagnostic (from $80K).

What does "operating range before procurement" mean?

The CMC operating range condition states that the Decision Density of an AI capability must not exceed the organisation's structural coherence in any single lever. If a capability demands high structural coherence in data organisation but the organisation is well below that threshold, the capability is above structural coherence — it will fail regardless of budget or vendor. CMC identifies these binding constraints before the organisation commits to procurement, preventing the 70-85% of AI deployments that fail due to infrastructure gaps.