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.

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.
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.

Technologies we work with

Azure AI- OpenAI

- Snowflake
- dbt Labs
Power BI
Azure


- Xero
Dynamics 365- Make
- Zapier
- n8n
Power Automate
WordPressGA4
Google Search Console
Our approach
Diagnose. Design. Deliver. Embed.
01Diagnose
Understand your data, systems and where decisions stall.
02Design
Define the right data model, reporting and AI use cases.
03Deliver
Build and implement alongside your team.
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.

Data & AI





