AI Readiness

Know where you stand. Start where it counts.

We inspect your data foundation, tech stack, governance and teams, then show you which AI use cases are worth doing and which you’re ready to start.

What we inspect

Six layers, one honest picture.

Most AI projects stall on what’s underneath them. We look at everything an AI system will depend on before you invest in building one.

  • 01Data sources & qualityWhere your data lives, how complete it is, and whether anyone trusts it.
  • 02Data platformWarehouses, lakehouses and models: one view of the business, or many.
  • 03Tech stack & integrationYour systems, APIs and cloud, and how easily AI can plug into them.
  • 04Security & governanceAccess, privacy, policy and risk controls for AI in production.
  • 05People & skillsWho can build, run and adopt AI today, and where the gaps are.
  • 06Use cases & valueThe opportunities worth pursuing, sized and ranked.

Data foundation

From raw data to AI that works.

AI is only as good as what it stands on. We map your foundation layer by layer and show where it’s ready and where it isn’t.

Raw sources

  • ERP
  • CRM
  • Data warehouse
  • SaaS apps
  • Spreadsheets
  • Documents
  • APIs & partners
  • Expert knowledge

Data plane

Unified data model
One trusted view across customers, products and operations.
Trusted metrics & context
Shared definitions, history and expert knowledge.
Connected data access
APIs, lakehouse and real-time data.

Intelligence plane

Analyze & predict
Insights, forecasts and anomaly detection.
Reason & optimize
Business rules, knowledge and recommendations.
Orchestrate & govern
Workflows, evaluation, guardrails and monitoring.

AI applications

Decision support
Better decisions with trusted context.
Workflow acceleration
Faster execution across business processes.
Intelligent experiences
Smarter employee and customer interactions.

Where to start

Business value vs. readiness to start.

Every use case we find is plotted on two questions: how much is it worth, and how ready are you to build it? Select one to see why it sits where it does.

Business value →

Quick winsStrategic betsEasy addsPark for later

Readiness to start →

02 · Quick winsCustomer service agent assist
Value
Faster, more consistent answers on every ticket.
Readiness
Knowledge base is current and tickets are digital. Ready to pilot.

Illustrative. Your matrix is built from what we find in discovery.

How it works

From inspection to a plan you can act on.

  1. 01 · DiscoverListen firstInterviews with leaders and teams on goals, pain points and ideas.
  2. 02 · InspectLook under the hoodA hands-on review of your data, systems, integrations and controls.
  3. 03 · ScoreRate every layerReady, partial or gap, across all six layers, with the evidence behind each.
  4. 04 · PrioritizeMap value vs. readinessEvery use case plotted, so the quick wins and strategic bets are obvious.
  5. 05 · RoadmapFix first, then buildA sequenced plan: what to fix, what to start now, and what to save for later.

What you walk away with

  • Readiness scorecard
  • Data foundation map
  • Tech stack review
  • Prioritized use-case matrix
  • Fix-first roadmap

Before you build, know you’re ready.

I just want to talk to your Chief AI Officer.

Book 30 minutes →