Deployment Gap Plan

2–3% of AI portfolio budget6–8 weeks

What should our 12–24 month AI strategy be?

Portfolio optimization across 5–10 capabilities with phased deployment plan.

What You Get

Phase 1Months 1–6Build: Structure + Accessibility
Document SearchReport Generation
Phase 2Months 7–12Build: Capture + Integration
Customer Support AIWorkflow Automation
Phase 3Months 13–18Build: Maintenance + Formality
Predictive AnalyticsDecision Support
Phase 4Months 19–24Build: Advanced Integration
Autonomous AgentsReal-time Optimization
Now24 months

Phased deployment timeline with capability unlocks

Context ProfileMulti-Capability AnalysisPortfolio OptimizationPhased Plan
  • Which capabilities to prioritize (feasibility + value)
  • Investment allocation across 3 budget scenarios
  • Infrastructure build sequence (high-level phases)

How We Assess

We assess your context infrastructure once, then evaluate 5–10 capabilities against that baseline. Each capability gets BLOCKED/STRETCH/READY determination.

Portfolio optimizer balances feasibility (what you can deploy now), value (business impact), and build dependencies (what unlocks what). Three budget scenarios show trade-offs.

Output is falsifiable: build phases have dependency logic. You can't structure what you haven't captured, can't integrate what isn't accessible.

Process

Your time

8–10 hours (interviews + prioritization sessions)

Our turnaround

6–8 weeks

Weeks 1–2

Assessment + Capability Inventory

  • Context profile assessment
  • Capability prioritization workshop
  • Business value validation

Weeks 3–5

Analysis + Optimization

  • Multi-capability gap analysis (5–10 capabilities)
  • Portfolio optimization modeling
  • Build sequence design

Weeks 6–8

Strategy Development

  • Phased deployment timeline
  • Investment allocation
  • Draft review + final presentation

Deliverables

Context Profile Assessment

Infrastructure state across 6 dimensions

Multi-Capability Analysis

5–10 capabilities assessed (BLOCKED/STRETCH/READY per capability)

Portfolio Priorities

Ranked capabilities with feasibility + value rationale

Investment Optimizer

3 budget scenarios with trade-off analysis

Phased Deployment Timeline

18–24 month plan with milestone-based capability unlocks

High-Level Build Phases

Infrastructure work required per phase (dimension-level guidance)

Roadmap is testable against execution. Build phases have dependency logic.

Sample Output

Excerpt from sample strategic roadmap (Professional services, 8 capabilities)

Capability Priority Matrix

#CapabilityStatusBottleneckValuePhase
1Document SearchREADYHighPhase 1
2Report GenerationSTRETCHStructure L2HighPhase 1
3Customer Support AISTRETCHAccessibility L1MediumPhase 2
4Workflow AutomationSTRETCHIntegration L2MediumPhase 2
5Predictive AnalyticsBLOCKEDCapture L2HighPhase 3
6Decision SupportBLOCKEDMaintenance L1MediumPhase 3
7Autonomous PricingBLOCKEDFormality L2HighPhase 4
8Real-time OptimizationBLOCKEDIntegration L2MediumPhase 4

Investment Scenarios

Conservative

$800K

24 months

4 of 8 capabilities

Moderate

$1.6M

18 months

6 of 8 capabilities

Aggressive

$2.8M

12 months

8 of 8 capabilities

Key Insight

Phase 1 build (Structure L2→L3, Accessibility L1→L3) unlocks both Document Search and Report Generation. Shared infrastructure investment: one build, two capabilities.

Pricing

2–3% of AI portfolio budget

Typical portfolio: $2–5M over 18–24 months

$2M portfolio (18mo)$50K (2.5%)
$4M portfolio (24mo)$100K (2.5%)
$6M portfolio (24mo)$150K (2.5%)

Floor: $40,000

Range: $50,000 – $150,000

Additional factors that may adjust pricing:

  • Portfolio budget magnitude
  • Number of capabilities (5–10 standard)
  • Organizational complexity (multi-BU, multi-geo)