Turning complex data into practical, decision-ready systems.

I help organisations design intelligent, cloud-based systems that reduce manual effort and improve decision-making.

My focus is practical AI — systems that bring structure and clarity to complex operations.

Replacing manual Excel processes with shared cloud-based spreadsheets so multiple people can work on the same data without version issues
Automating reports, targets, or summaries that previously took hours to prepare each week
Generating consistent emails or updates automatically from data, instead of copying and pasting
Restructuring data so information is entered once and reused across reports and dashboards
Reducing reliance on individuals by making processes clearer and more repeatable

(Behind the scenes, this may use automation such as scripts or macros — but users don’t need to interact with code.)

The result is less manual effort, fewer errors, and more time spent using information instead of maintaining it.

I use AI in practical, controlled ways to support existing processes — not to replace people or introduce risk.

Examples include:

Automatically summarising long emails, documents, or reports so teams can see key points quickly
Highlighting inconsistencies or missing information in spreadsheets and documents
Turning unstructured information (emails, notes, files) into structured, searchable data
Helping teams review large volumes of information faster without manual checking
Supporting decision-making by surfacing relevant information at the right time

AI is used to reduce review time, improve consistency, and support better decisions, not to automate judgement or create black-box systems.

AI is always applied within clear business rules, with humans remaining in control of final decisions.

Many organisations already use Google Workspace or Microsoft 365, but only a small part of what they offer is used day to day.

I help teams understand and make practical use of the tools they already pay for, without overwhelming them or changing how they work.

This typically includes:

Showing teams simpler ways to work with shared files, data, and collaboration tools
Helping staff understand which tools to use for which tasks
Introducing reporting and visualisation tools where they add value (e.g. dashboards instead of manual reports)
Supporting the practical use of built-in AI features to save time and reduce manual effort
Helping teams feel confident using systems, rather than working around them

The focus is always on practical usage, not technical theory or one-off training sessions.

Helping teams get more value from Google Workspace or Microsoft 365, including reporting, automation, and built-in AI tools
AI-assisted automation using Google Workspace
Migrating and structuring business data across cloud platforms (Google Workspace / Microsoft 365)
Cloud-based systems for reporting, data structuring, and operational workflows
Data structuring and decision-support systems
Process automation to reduce errors and rework
Practical use of Generative AI in business workflows

I work closely with teams to design solutions that fit how they actually operate — not generic software implementations.

My approach is practical, iterative, and focused on delivering systems that people can use with confidence.

I typically work with:

A UK-registered consulting company providing AI and cloud-based systems and automation.

If this sounds relevant, I’m happy to have an initial conversation to understand your situation.