CMC Deployability Diagnostic

2–3% of deployment decision2–12 weeks

One system. One methodology. Binary results.

The question you bring determines the output you get.

What You Get

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

Your Context Profile: Infrastructure state across 6 dimensions

Profile→Gap Analysis→Determination→Build Path
  • Which dimension gaps block deployment
  • Whether each capability is BLOCKED / STRETCH / READY
  • What needs to be built, in what sequence

How We Assess

We assess infrastructure through observable patterns: how your team describes their work, where knowledge lives, how systems connect.

Your requirements are mapped against a systematic database of 400+ AI capabilities. This enables precise gap analysis without months of discovery.

Methodology is falsifiable: Gap ≥2 = infrastructure doesn't exist = will fail. Testable against outcomes.

Process

Your time investment

4–8 hours across the engagement

Our turnaround

2–12 weeks depending on variant

Phase 1

Scoping

  • Define the question
  • Determine variant + scope
  • Identify stakeholders

Phase 2

Assessment

  • Stakeholder interviews
  • System landscape review
  • Context profile scoring

Phase 3

Analysis

  • Gap analysis + determination
  • Build path design
  • Investment modeling

Phase 4

Delivery

  • Draft review
  • Final report
  • Presentation + Q&A

Deliverables

Context Profile

Your infrastructure state across 6 dimensions (0–5 scale)

Gap Analysis

BLOCKED/STRETCH/READY determination per target capability

Build Path

What needs to be built, in what sequence, with investment estimates

Executive Summary

Board-ready summary with determination and recommendations

Presentation

90-minute leadership walkthrough of findings and build path

Gap ≥2 = infrastructure doesn't exist = will fail. Testable.

Sample Output

Excerpt from anonymized diagnostic (Manufacturing, mid-market)

Context Profile: Acme Manufacturing

Current
Required Capacity
Formality
L2
L3
STRETCH
Capture
L2
L4
BLOCKED
Structure
L3
L4
STRETCH
Accessibility
L1
L4
BLOCKED
Maintenance
L2
L4
BLOCKED
Integration
L2
L3
STRETCH

Status: BLOCKED 3 dimensions at category boundary

Timeline: 10-14 months to deployment feasibility

Investment: $160,000 - $400,000

Pricing

2–3% of deployment decision

Scoped to the question — from single-capability fit to full portfolio diagnostic

Floor: $12,000 (minimum for quality delivery)

Range: $15,000 – $300,000

Additional factors that may adjust pricing:

  • •Variant scope (single capability → full portfolio)
  • •Company complexity
  • •Timeline compression
  • •Number of portfolio companies (PE/VC)

Assessment fee credited toward subsequent engagements if you proceed

Diagnostic variants

Same system, different scope. The question you bring determines the output.

Capability Fit

Can we deploy this specific AI capability?

2–3% of deployment decision2–3 weeks
  • Context profile across 6 dimensions
  • Single-capability gap analysis
  • BLOCKED / STRETCH / READY determination
  • Build estimate with alternatives

Vendor Requirements

Which vendor actually fits our infrastructure?

2–3% of vendor 3-year TCO3–4 weeks
  • Vendor compatibility matrix (3–5 products)
  • Per-vendor gap analysis
  • 3-year TCO model
  • Build-path recommendation

Deployment Gap Plan

What should our 12–24 month AI strategy be?

2–3% of AI portfolio budget6–8 weeks
  • Multi-capability analysis (5–10 capabilities)
  • Portfolio priorities with sequencing
  • Investment optimizer (3 budget scenarios)
  • Phased deployment timeline
  • Infrastructure feasibility control before portfolio capital is deployed

Infrastructure Profile

How should we design our AI infrastructure?

1–2% of 5-year infrastructure value8–12 weeks
  • Domain ontology map
  • Schema design + API architecture
  • Integration patterns
  • Migration strategy

Build Sequence

What needs to be built, in what order?

Fixed fee, scoped from assessment4–6 weeks
  • Phase-by-phase build specifications
  • Vendor product selections
  • Resource requirements per phase
  • Dependency mapping

Pre-Acquisition Diligence

PE / VC

What are we actually buying?

0.5–1% of deal value1–2 weeks
  • Target company context profile
  • Red flag identification
  • Valuation impact analysis
  • Post-close infrastructure roadmap

Portfolio Screening

PE / VC

Which portfolio companies can execute AI?

Volume-based per company2–3 weeks
  • Portfolio heatmap (6 dimensions × N companies)
  • Tier ranking: READY / STRETCH / BLOCKED
  • Capital allocation strategy
  • Board-ready summary

Full Portfolio Diagnostic

PE / VC

Per-company roadmaps + portfolio-level allocation.

Per-company rate, decreases with scale4–6 weeks
  • Individual context profile per company
  • Per-company build sequence
  • Cross-portfolio synergy identification
  • Consolidated investment model