Approved AI budgets stall on data infrastructure gaps
LLM projects fail when data lives in siloed systems with no catalog, lineage, or quality baseline — discovered after the budget is already committed.
Strategic Enablement
Enterprise AI Readiness
Start with a scored AI Readiness Assessment that maps your strategy, data, skills, and governance maturity — then follow a tier-matched enablement program designed for your specific readiness stage.
Scored Readiness AssessmentMCT-Led DeliveryTier-Matched Enablement90-Day AI RoadmapStrategy, Data, Skills & Governance
Why This Matters Now
The challenges that bring enterprise teams to this conversation
Engineering teams lack production AI skills despite demos working
Teams confident with proof-of-concept demos struggle with Python orchestration, Azure deployment, and prompt evaluation in production-grade implementations.
No AI policy means legal cannot approve regulated-data LLM usage
AI deployment in finance, healthcare, or government requires a documented policy framework before any LLM is permitted to process sensitive or regulated data.
Strategic context: Teams that assess AI readiness before implementation reach production 40–60% faster than those who discover data, skills, and governance gaps mid-project.
Capability Coverage
What the program covers
AI Strategy Readiness Audit
Evaluate strategic alignment, executive sponsorship, and budget-to-outcome mapping before committing to an AI implementation roadmap with hard delivery milestones.
Data Readiness Assessment
Assess data quality, cataloguing maturity, lineage documentation, and infrastructure readiness for AI and LLM workloads against specific use-case requirements.
Skills Gap Analysis by Role
Map current team skills across engineering, analytics, and product roles against the specific capabilities required for your AI implementation targets.
Governance Readiness Review
Evaluate AI policy maturity, responsible AI control coverage, compliance requirements, and accountability structures against your implementation risk profile.
Tier-Matched Enablement Tracks
Match your scored readiness tier to a specific learning pathway — from Early Exploration through to Scaling Adoption — with programs calibrated to your exact readiness state.
AI Adoption Roadmap Planning
Produce a 90-day AI enablement roadmap with skill development milestones, data readiness gates, governance checkpoints, and measurable deployment targets.
Delivery Approach
How we deliver this
01
Assess
AI Readiness Assessment
Complete the scored AI Readiness Assessment to evaluate strategy, data, skills, and governance maturity with a detailed breakdown by readiness dimension.
02
Design
Gap-to-Program Mapping Session
Map your assessment score to a specific enablement program track, with recommendations aligned to your readiness tier and specific implementation targets.
03
Enable
Tier-Matched Program Delivery
Deliver AI enablement programs calibrated to your readiness tier — Early Exploration through to Scaling Adoption — with MCT-led facilitation and lab-based delivery.
04
Adopt
Policy, Baselines & 90-Day Roadmap
Close with a documented AI policy framework, team skill baselines, governance accountability assignments, and a measurable 90-day AI adoption roadmap.
Capability Programs
Programs for this area
Proof & Perspectives
Implementation evidence and strategic context
Strategy6 min read
AI Readiness: The Work That Happens Before You Touch a Model
Organisations that struggle to get value from enterprise AI investments almost never fail because of model capability. They fail because the data is not ready, the teams are not aligned, and the governance layer does not exist. This post outlines the readiness work that precedes meaningful AI adoption.
AI StrategyEnterprise AIData ReadinessGovernance
Read insightReady to Begin
Start your Enterprise AI Readiness program
Work with our team to design an enablement program matched to your team's readiness, platform priorities, and delivery timeline.
Scored Readiness Assessment
MCT-Led Delivery
Tier-Matched Enablement
90-Day AI Roadmap
