We teach AI and we build it. The school itself runs on the systems described below, inside a sector where every decision has to be evidenced to an external auditor. This page sets out what we build, how an engagement runs and what the first step costs, which is nothing.
🤖 Large Language Models🏗 RAG and Knowledge Bases⚙️ Process Automation📊 Data Pipelines💬 AI Chatbots🚀 n8n and Zapier🐍 Python☁️ Cloud Deployment
What we bring to a build
Three things worth knowing before you read the service list, stated as plainly as we can put them.
Practitioner-led
Built, not presented
Every engagement is scoped to end with something running: a live system, an automated workflow or a team trained to carry the work on. If the honest answer is that AI will not help with your problem, we say so at the discovery call, before you have paid for anything.
FHEA and MCT
Who does the work
Our Principal is a Fellow of the Higher Education Academy, a Microsoft Certified Trainer and a Senior Lecturer in Computing, and leads every engagement personally. We are a small team, so the person who scopes your project is the person who builds it.
London based
Built to be audited
Our own sector is regulated education, where a decision has to be evidenced, retained for a stated period and explained to an external quality assurer. We build to UK GDPR requirements and design the audit trail in from the start. We do not certify your compliance: your own DPO signs that off, and we give them what they need to do it.
Our services
Four areas. They can be scoped one at a time or run together. Each is quoted at a fixed price against a written scope before any work starts, and the price moves only if the scope does.
01 / Strategy
AI Strategy and Roadmap
Most organisations know they should be doing something with AI and cannot tell which of the ten suggestions in the room is worth the money. We work through your actual processes with your leadership team and produce a roadmap that says what to do first, what to leave alone, and the reasoning for both.
Current-state audit: data, systems, team capability
Use-case identification ranked by impact and feasibility
Build, buy or integrate recommendation for each
12-month sequence with milestones and indicative costs
A short paper your board can read without translation
✓ A ranked list of use cases, with the reasoning behind the order
✓ The cases we recommend you do not pursue, and why
✓ Data protection and regulatory questions raised before any build
✓ A written sequence your team can execute without us
✓ An upskilling plan for the people who will run it
Indicative timescale: 2 to 4 weeks, delivered as a workshop series plus a written report.
02 / Automation
Business Process Automation
Repetitive manual handling is slow, and it introduces the kind of error nobody catches until much later. We map your highest-volume workflows as they actually run, agree with you which steps can safely be automated and which need to stay with a person, and build the first group.
✓ A written map of the workflow as it runs today, before anything changes
✓ Validation rules agreed with you, so exceptions surface rather than pass silently
✓ Every automated step logged, with a full audit trail
✓ A measure of success agreed at scoping and reported against at handover
✓ Designed to take rising volume without more manual handling
Indicative timescale: 3 to 8 weeks, depending on how many workflows are in scope. Scoping can be bought on its own.
03 / Development
Custom AI Development
Off-the-shelf tools solve the general version of a problem, and for a lot of organisations that is the right answer. Where yours is specific to your data, your customers or your regulator, we build for it instead. Which of those two you need is a question we will answer at the discovery call rather than after you have committed.
RAG-powered knowledge bases and internal search
Branded AI chatbots (web, WhatsApp, Teams, Slack)
LLM integrations using Claude, OpenAI or open-source models
Recommendation engines and content personalisation
ML models trained on your proprietary data
Secure deployment on AWS, Azure or your own infrastructure
✓ Architecture built to UK GDPR requirements, with the data flows written down for your DPO
✓ A support period whose length is stated in the proposal
✓ Training for your team on the finished system
Indicative timescale: 6 to 16 weeks, with a demo every fortnight so you see the system before it is finished.
04 / Training
Corporate AI Training
Buying a system does not by itself create the capability to use it. We design in-house programmes for the people who will actually use what you have bought, from the board down to the team doing the work. Where it suits the group, the programme runs towards a regulated NCFE qualification rather than a certificate of attendance.
AI literacy workshops for non-technical staff and leaders
Prompt engineering and LLM use for knowledge workers
Python and data skills for analysts and operations teams
Responsible AI and governance training
Programmes leading to regulated NCFE qualifications
Delivered in person in London or remotely across the UK
✓ Self-paced modules on your own platform or on our Moodle
✓ Blended: online material plus live sessions
✓ A regulated NCFE qualification where the programme suits one
Indicative timescale: from a single half-day session to a 12-week programme.
How an engagement runs
Four steps from the first conversation to a system your team is running without us.
1
Discovery call
Thirty minutes, at no cost. You describe the problem, we ask about the process behind it, and we tell you whether AI is the right answer. Sometimes it is not, and that is still a useful thirty minutes.
2
Scoping and proposal
A fixed price against a written scope, with the deliverables, the timeline and the measure of success in it. The price moves only if the scope moves, and any change is agreed in writing first.
3
Build and iterate
A demo of working software every fortnight. You see the system as it is built rather than at the end, which is the point at which a misunderstanding is still cheap to correct.
4
Handover and support
Documentation, a training session for your team, and a support period whose length is written into the proposal rather than left to be agreed later.
Sectors we are set up for
Our own work is in regulated education, where data protection, auditability and evidencing a decision are not optional. That is the discipline we bring to any sector with the same constraints.
🏫 Education and EdTech🏦 Financial Services⚖️ Legal and Compliance🏥 Healthcare and NHS🏗 Property and Construction🛒 Retail and E-commerce🏢 Professional Services🏛 Public Sector and Local Government
What we can point to today
The services line is new, so there are no client logos on this page and we are not going to borrow any. The work we can show you is our own: the AI review that reads every application to the school, the assistant answering questions on this site, and the reporting the school runs on. Ask at the discovery call and we will walk you through any of them, running, including the parts that took two attempts.
Start with a free AI opportunity review
Sixty minutes online, and a working session rather than a sales call. We look at where AI
would pay back first in your business, and you get a short written summary afterwards that
is yours to use whether or not you work with us.