AI DATA READINESS SPRINT · 5–10 BUSINESS DAYS

Your data is the foundation for AI.
IS IT READY?

AI initiatives often expose problems that already exist in the data foundation — fragmented systems, inconsistent definitions, poor data quality and unclear ownership. Duke Data Solutions helps organisations identify those gaps and build a practical path toward trusted, governed, AI-ready data.

Data readiness maturity flowRaw sources become governed, then AI-ready through quality, governance, and ownership.DATA READINESS / MATURITY FLOW01—03RAW SOURCESUngoverned · unowned · inconsistentGOVERNEDCatalog · lineage · access controlAI-READYTrusted · explainable · adoptableQUALITY / CONTROL / CONFIDENCEDUKE DATA

DATA QUALITY · GOVERNANCE · METADATA · OWNERSHIP · ARCHITECTURE · AI READINESS

The problem

AI doesn’t fix weak data foundations. It exposes them.

Companies are investing in AI while the underlying data is fragmented, poorly documented, inconsistently defined, difficult to trust, or lacking clear ownership.

01Can we trust our data?
02Who actually owns it?
03What does this metric mean?
04Where does this data come from?
05Is our data ready for AI?

The offer

AI Data Readiness Sprint

A focused 5–10 business day assessment that gives leadership a clear picture of where your data stands and what to fix next.

5–10 day engagement
01

Discover

Map the current data landscape, systems, critical datasets and business priorities.

02

Assess

Evaluate quality, governance, metadata, ownership, architecture and BI foundations.

03

Design

Define the target-state architecture and governance foundations required for AI.

04

Roadmap

Deliver a practical 90-day roadmap prioritised by business impact.

What we assess

The foundations that determine whether AI can scale.

Data Quality

Are critical datasets accurate, complete, consistent and reliable?

Governance

Are policies, controls, responsibilities and decision rights clearly defined?

Metadata

Can people understand what the data means, where it comes from and how it is used?

Ownership

Are data owners, stewards and domain responsibilities clear?

Architecture

Can the current data architecture support scalable analytics and AI?

AI Readiness

Can governed data and trusted business context safely support intelligent applications?

Deliverables

From current state to actionable roadmap.

CURRENT STATE
GAP ANALYSIS
TARGET ARCHITECTURE
90-DAY ROADMAP
Current-state data landscape
Critical data and domain assessment
Data quality and governance gap analysis
Metadata and ownership assessment
Target-state architecture
AI readiness assessment
Prioritised 90-day roadmap

Who it’s for

Built for teams that are serious about AI.

For CIOs, CTOs, Heads of Data, Data & Analytics Leaders and BI Leaders preparing for AI or agent initiatives — especially where data is fragmented across business units.

CIOsCTOsHeads of DataAnalytics leadersBI leadersAI initiative teams

Duke Data Solutions

An independent Data + AI Architecture consultancy focused on trusted data foundations, governance and AI readiness — with expertise across Data Architecture, Data Governance, MDM, Analytics Engineering, BI and AI Readiness.

One clear answer

Before you scale AI, make sure your data is ready.

Let’s identify the gaps between where your data is today and where it needs to be.

Book a 30-Minute Assessment

Contact

Start with a clear view of your data foundation.

Share your current priorities and we'll come back with a focused next step.