Data & AI

Turn your data into decisions you can trust.

Our data and AI consulting helps organisations build reliable data foundations, create reporting people actually use and apply AI where it improves productivity, decisions and customer outcomes.

Colleagues collaborating around a table with laptops and documents to work through their data

Common challenges

More data, less clarity.

For businesses where information is spread across systems and AI is being tried without a clear purpose. Reporting takes longer, numbers get questioned and decisions slow down.

Fragmented data

Information sits across systems, teams and spreadsheets.

Unreliable reporting

Numbers differ between teams and take too long to produce.

AI without direction

Pilots start without a clear problem, owner or measure.

Low trust and adoption

People don’t rely on dashboards or AI outputs they can’t verify.

How Kinstone helps

Data and AI consulting that improves how decisions get made.

We bring together data, analytics, AI and business expertise to help you trust your numbers, see what is happening sooner and use AI where it genuinely helps.

Good data and AI consulting starts with the decision or outcome you need, not the tool. We look at where your data comes from, how it is governed and who relies on it, agree what to fix or build first, and stay alongside your team so the reporting and AI you adopt are used, trusted and measured, whatever the size of the business. Data and AI work lands best when it is tied to strategy and transformation priorities and fed by connected systems.

This includes data strategy and foundations, data governance, analytics, and AI strategy, implementation, enablement and optimisation.

A team meeting around a table to discuss reporting and decisions

Strengthen data foundations

Bring your data together and make it reliable.

Build useful reporting

Give teams analytics they can act on.

Apply AI where it helps

Improve productivity, decisions and customer outcomes.

Build trust and adoption

Set clear ownership and help teams use what is built.

Technologies we work with

  • Databricks logo
  • Microsoft logoAzure AI
  • Google Cloud logo
  • OpenAI
  • Anthropic Claude logo
  • Snowflake
  • dbt Labs
  • Microsoft logoPower BI
  • Microsoft logoAzure
  • AWS logo
  • Salesforce logo
  • HubSpot logo
  • Xero
  • Microsoft logoDynamics 365
  • Make
  • Zapier
  • n8n
  • Microsoft logoPower Automate
  • WordPress logoWordPress
  • Google Analytics 4 logoGA4
  • Google Search Console logoGoogle Search Console

Our approach

Diagnose. Design. Deliver. Embed.

01Diagnose
01: Diagnose

Understand your data, systems and where decisions stall.

02Design
02: Design

Define the right data model, reporting and AI use cases.

03Deliver
03: Deliver

Build and implement alongside your team.

04Embed
04: Embed

Drive adoption, governance and measurable value.

Common questions

Before you get in touch.

What does a data and AI consultancy actually do?

We help you work out how your data should support the business, then build the foundations, reporting and AI capability to get there. That covers data quality, integration, analytics and AI use cases, so decisions improve instead of you simply adding another tool.

Where should we start with AI?

Start with a business problem, not a model. We help you list candidate use cases, test each against value, data readiness, risk and effort, then prove a small number first before scaling what works.

Do we need to fix our data before using AI?

Not all of it, but the data behind a use case has to be good enough to trust. We assess what the first use cases need, fix those gaps first and improve the wider foundations over time.

Can you work with our existing platforms and tools?

Yes. We start with what you already use, whether that is a cloud platform, a CRM or spreadsheets, and only recommend new technology where it clearly earns its place.

How do you handle data security, privacy and governance?

We build them in from the start, with clear ownership, access controls, quality checks and sensible rules for how AI uses your data. The approach is sized to your risk, your obligations and your team.

Do you help once AI is in use?

Yes. Alongside strategy and implementation, we help teams adopt AI and then review and tune how it performs. That includes agreeing who reviews and approves AI outputs before they feed important decisions.

How do we get started?

Start with a conversation about the decision or problem you want data and AI to help with. From there we can scope a short assessment to agree priorities and a practical roadmap, then continue into delivery if it makes sense. The engagement is sized to your goals and capacity.

Not sure where to start?

Let’s work through it together

Speak with our team. We’ll share an honest view on where we can help and a practical next step.

John Phung, Data & AI, Kinstone Co
John Phung
Data & AI