[AI READINESS] · LAM TECHNOLOGY · ASSESSMENT

Know what you’re standing on before you “do something with AI.”

An honest read on where your data, processes, people, and platforms sit relative to AI adoption. Fourteen domains, rated and documented — so you know what to fix first, where to start, and which AI investments will actually pay back.

AI READINESS RADAR™

AI Readiness Radar™ is the Insight-phase assessment for the AI Readiness practice, giving you a clear, objective picture of where you stand before you commit to any platform, supplier, or investment. Advisor-led environment review. Per-domain ratings with documented findings. An honest read on which AI bets pay back. A strategy session to act on the results.

The Fourteen Domains

LAYER I Strategy & Governance
Strategy & Vision
Leadership alignment, AI investment framing & executive sponsorship.
Governance & Policy
Oversight structure & governance.
Responsible AI
Bias & fairness, transparency & human-in-the-loop.
LAYER II Foundation
Data Readiness
Data quality, structure & accessibility for AI.
Infrastructure & Platforms
Cloud readiness, compute capacity, integration & scalability.
Security & Compliance
Risk exposure, regulatory posture & data protection.
Identity & Access
Identity governance, privileged access & AI agent identities.
LAYER III People & Tools
Workforce & Adoption
Skills gaps, change readiness, training & AI champions.
Supplier & Tool Landscape
Existing contracts, overlap analysis & vendor consolidation.
M365 & Copilot
M365 readiness, Copilot licensing, tenant config & sensitivity labels.
Use Case Prioritization
Feasibility, business value & sequencing.
LAYER IV Execution & Measurement
Pilot & POC
Pilot scope, success criteria, measurement framework & scale-up path.
Roadmap
12-month roadmap, investment phases, quick wins & dependency mapping.
Measurement
Value tracking.

Why LAM

AI guidance that is grounded, commercial, and outcome-driven. Independent advisory that keeps decisions aligned to your business outcomes, not vendor hype cycles. Practical framing of AI risk, governance, and acceptable use for real organizations. Hands-on support across assessments, supplier validation, and downstream integration. Coverage across data, platforms, security, and operating model readiness.

Who We Help

Built for organizations being asked to “do something with AI” without breaking what already works: mid-market organizations, multi-site enterprises, regulated businesses, private equity-backed portfolios, manufacturing and industrial environments, and professional services organizations.

Example engagements

AI readiness assessment with prioritized roadmap. Data, platform, and governance gap remediation plan. Use-case prioritization and payback modeling. Supplier validation for AI and data platform investments.

JUST ASK LAM

Being asked to “do something with AI”?

AI Readiness Radar™ gives you an honest read on where your data, processes, people, and platforms actually sit — across fourteen domains — so you know what to fix first and which AI investments will pay back. We’ll tell you what we’d assess, what we’d advise against, and where your real AI leverage actually lives.

JUST ASK LAM →