Readiness & Maturity.
Seven structured assessments — at three altitudes — to help leaders see where their organization stands, and where the next investment should go.
Three altitudes, one suite.
The assessments deliberately overlap — different roles, different decisions, different depth. Pick the altitude that matches the conversation you're trying to have.
Short, share-friendly reflections to align the leadership team before committing to a direction.
Multi-dimensional scoring across the capabilities that decide whether a program will land.
Deeper, metric-level diagnostics used in delivery — when you've chosen what to build and need to know how ready it is.
Common pathStart with the Decision-Driven AI Transformation executive reflection · then run the relevant Readiness assessment for your program · then use the Latttice AI Readiness Diagnostic on a real data product when you move into delivery.
Where the program will land — or stall.
Trusted Data Product Readiness
- Why
- Trusted data products are the new unit of value — but most orgs don't yet have the decision clarity, governance, or operating model to build them. This shows how close you are.
- Who
- Data leaders, product owners, and architects responsible for delivering reusable, governed data assets.
- When
- Before launching a data product program, or when an existing program is producing assets but not adoption.
- What you'll get
- A maturity score across decision clarity, governance activation, and operating model — plus where to invest next quarter.
Data Product & Mesh Readiness
- Why
- Data Mesh succeeds or fails on operating model — not technology. This grounds the conversation in the seven business dimensions that actually predict adoption.
- Who
- Data platform leaders, domain owners, and CDOs evaluating or already attempting a mesh-style operating model.
- When
- Before committing to a mesh program, or to diagnose why an in-flight mesh isn't delivering federated ownership.
- What you'll get
- A 7-dimension readiness score from domain ownership to federated governance, with the specific gaps blocking adoption.
Find Your Data Catalyst
- Why
- Every successful data-product or AI program has a translator — someone fluent in both business and data. This helps you spot them before you hire externally.
- Who
- CDOs, heads of analytics, and transformation leaders building out a data-product or AI capability.
- When
- When you're scoping a new program and asking 'who can actually drive this internally?'
- What you'll get
- A profile of the translator already in the room — across translation ability, credibility, governance mindset, and decision impact.
AI Readiness
- Why
- Generative AI investment is being committed before the underlying business, data, and governance are ready. This separates AI ambition from AI capability.
- Who
- Executive sponsors of AI initiatives — CEO, COO, CDO, CIO, CAIO — and the teams executing them.
- When
- Before scaling beyond AI pilots, or when board pressure is outpacing organizational readiness.
- What you'll get
- A multi-dimension readiness view across decisions, data, governance, operating model, and technology.
Governance Maturity
- Why
- Most governance programs are documented but not active. This measures whether governance shows up at the point of creation, use, sharing, decision, and AI consumption.
- Who
- CDOs, heads of governance, data protection officers, and AI/risk leaders.
- When
- Before an AI rollout, ahead of a regulatory review, or when policies exist but behavior doesn't match.
- What you'll get
- An activation score across the five points where governance has to live — with the weakest link clearly identified.
Turn readiness into results with Latttice.
Latttice is the Data Tiles software platform for building trusted, AI-ready data products. Explore the product or book a personalised demonstration to see how your assessment results translate into delivery.