Data & AI Readiness

Most AI projects don't fail because the technology doesn't work. They fail because the data underneath isn't ready. Messy, scattered, locked in systems that don't talk to each other. We help you understand what you've got, get it in order and make it ready for AI. Getting your data strategy right doesn't need to be a twelve month transformation programme. We design and implement a practical approach that fits your business.

Data strategy and AI readiness

Why data strategy

Understand it. Fix it. Make it work.

Data strategy used to need a team of data scientists and a six figure budget. It doesn’t anymore. The tools have caught up and modern AI has made the work faster and more accessible. What you need now is someone who understands your business, your systems and what AI ready data actually looks like.

Data audit and assessment

We dig into what you’ve got, where it lives and what shape it’s in. Scattered spreadsheets, disconnected CRMs, legacy databases, duplicated records. We map it all out so you can see the full picture before making any decisions.

Data architecture

We design how your data flows, connects and stays clean across your systems. The right structure means your teams spend less time hunting for information and more time using it.

Data governance

We help you define who owns what, how quality is maintained and how you stay compliant. Clear rules, clear ownership, no ambiguity. Good governance doesn’t need to be onerous when designed specifically for you.

Data platform engineering

We build or improve the infrastructure your data sits on. Whether that’s BigQuery, AWS, Azure or something else entirely, we work with the tools you already have and help you get more out of them.

AI ready data

We prepare your data specifically for AI. Structuring, labelling and making it accessible so models and agents can actually use it. This is where data strategy turns into competitive advantage.

We work with the platforms your data already lives on

The data advantage

The numbers are clear. Data-driven businesses pull ahead.

More likely to outperform peers

2x

Outperform with a data strategy

60%

More likely to reach advanced AI maturity

3x

Report stronger revenue

65%

Source: AWS / 451 Research / S&P Global Market Intelligence, 2024

Meet the team

01

Understand your data

We start by mapping what you have. Where it lives, how it moves between systems, what’s clean and what’s not. No assumptions. Just an honest picture of where you stand today.

Data strategy and AI readiness

02

Design the architecture

We work with your team to design how data should flow, connect and stay consistent across your business. Built around the tools and systems you already use, not a wholesale rip and replace.

Data architecture design

03

Build and connect

We do the engineering. Connect your platforms, set up governance, tidy what needs tidying and put the foundations in place so your data is accessible, reliable and ready.

Data platform engineering

04

Prepare for AI

We structure and prepare your data so it works with models, agents and automation. This is the step that turns a tidy database into a genuine competitive advantage.

AI ready data preparation

Why Kyan

We understand product, engineering and data as one thing. Your data strategy isn't a standalone project that gathers dust. It connects directly to the AI, automation and product work that creates real business value. That is what makes us different from a pure data consultancy.