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 12 month transformation programme. We design and implement a practical approach that fits your business.

A close-up view of two colleagues writing notes during a workshop in an office setting. They are viewed through the glass wall of a meeting room, with soft reflections of light visible.

Why data strategy

Unified data is AI rocket fuel.

AI tools are turbo-charged when you feed them with the right data. Kyan is an agency in London that helps you understand and coordinate the data in your business to make it ready for AI.

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 we can create powerful context that feeds your AI systems.

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

Data-driven businesses pull ahead of their peers.

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.

A SaaS app dashboard displayed on a laptop

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.

Hand drawn wireframes are pinned up on a glass wall, with orange post it notes stuck on top that highlight key areas and considerations

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.

A silhouetted man holds up a mobile device displaying the ReShop app in use. Recent payments activity is listed beneath a selected payment method.

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.

An extreme closeup of a man's hand as he holds a mechanical timer device. In the background are softly blurred colourful post it notes.

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.

Let's talk about data