AI-Ready Data

Analytics and AI are only as good as the data under them. We build one trusted foundation, from standard, reusable recipes, that serves reporting, analytics, machine learning and AI, with governance and quality built in from the start.

The challenge

Foundations, not adoption, set leaders apart.

Gartner expects organizations to abandon 60% of AI projects that aren’t supported by AI-ready data through 2026 (Gartner, February 2025). We start from a benchmarked maturity assessment, shape the strategy and target architecture, and stand up governed, self-serve data products the business can trust and reuse.

  1. Gaps in governance, integration and readinessThese stall analytics and AI at scale. We close them first, so the rest of the work has solid ground.
  2. Fragmented, duplicated tools and dataDuplication drives cost up and trust down, which makes it harder to act on AI with confidence.
  3. Inconsistent self-serveOwnership is unclear and quality varies, so it’s hard to trust what teams build on their own.

The opportunity

Treat data as a governed product.

  • Build once and reuse everywhere, with certified data products serving BI, machine learning and AI.
  • Cut cost and tool sprawl with standard, automated platform recipes.
  • Get value sooner with governed self-serve that gives domains freedom within enterprise standards.
  • Make data a strategic asset, with clear ownership and an architecture ready for what’s next.

How we help

A recipe-based path to AI-ready data.

01

Maturity assessment

We benchmark your data and AI capabilities against peers, using industry-standard maturity models.

02

Data strategy and target architecture

A business-aligned strategy, operating model and modern target architecture.

03

AI opportunity identification

We profile your data against priority use cases to find feasible, high-value AI opportunities, with a business case and roadmap.

04

Data product readiness

Trusted, reusable data products with quality, lineage and policy built in.

05

Self-serve enablement

Governed self-serve, so domains move fast within enterprise standards.

06

Recipes

Reusable building blocks (tools, configuration, steps, automation and controls) that standardize and speed up delivery.

What you get

A trusted, AI-ready data foundation.

  • A peer-benchmarked maturity assessment and scorecard.
  • A business-aligned data strategy, operating model and target-state architecture.
  • A prioritized AI opportunity map with a business case and roadmap.
  • Certified, governed data products ready for BI, machine learning and AI.
  • A recipe catalogue and a governed self-serve platform pattern.

Case study · A top-20 US regional bank

Refreshing the data strategy and architecture of a top-20 US regional bank

A regional bank with an established data platform asked us to refresh its data strategy for analytics and AI. We benchmarked its maturity against peers and designed the target architecture and operating model the bank adopted as its data roadmap.

2.3 to 3.3
Data maturity uplift over two years, on a peer-benchmarked model
Adopted
As the bank’s go-forward data roadmap
Fewer tools
Through standardized tooling and reusable recipes

Read the case study

Questions

What buyers ask us.

What is a recipe?

A self-contained, reusable building block (tools, configuration, steps, automation and controls) that standardizes how data products and platform capabilities are built, so delivery is faster and more consistent.

Do we have to rebuild our platform?

No. We start where you are, assess maturity and modernize step by step on the stack you’ve chosen, such as Databricks, Snowflake or cloud-native services.

What makes a foundation AI-ready?

The metadata, quality, governance and context that AI needs, so the same trusted data products serve BI, machine learning and AI.

Where do we start?

With a rapid maturity assessment and opportunity scan that produces a prioritized roadmap with a business case.

How do you handle security and compliance in financial services?

Governance and controls go into the foundation from day one, not afterwards. Our approach comes from years of work in regulated financial services, so we design for your security and compliance requirements from the start.

Our mind

Related reading.

All posts

Next step

Tell us what you need to get into production.

Someone senior reads every message and replies to set up a short call.