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Custom AI development

Custom AI built around your processes and data.

We design and build custom AI for UK enterprises, from intelligent automation and predictive analytics to natural language processing, document processing and computer vision, all in your existing Microsoft stack. We assess your data first, build and validate the models, then deploy with full handover so the intellectual property and the know-how stay with you.

Related services

What sits around a custom AI build.

Custom AI draws on strategy, platform and governance work. These are the services we pair it with.

Custom AI solutions

Bespoke models for predictive analytics, language and vision use cases.

Custom AI solutions

AI solution design

Architecture, data flows and a proof of concept before the full build.

AI solution design

Azure AI Foundry

The Azure platform we use to build, fine-tune and manage models.

Azure AI Foundry

Copilot agents

Agents that put your custom models in front of staff in Microsoft 365.

Copilot agents

AI data analysis

Reporting and forecasting on the data your models produce.

AI data analysis

AI governance

Policies and controls so custom AI stays secure and auditable.

AI governance and security

8 to 12 weeks

for a focused custom AI pilot

3 to 6 months

for full production deployment, including integration and testing

20+ years

of SharePoint and Microsoft experience

How we work

How a custom AI project runs.

01

Discovery

We look at the business problem and assess your data maturity, and if the data is not ready we help build a data strategy first.
02

Design

We choose the right AI technique, whether machine learning, language processing or document processing, and design the integration with Azure and Power Platform.
03

Build

We build and validate the models, working with smaller datasets through transfer learning where needed.
04

Train

Full documentation, source code and training so your team can maintain and develop the solution independently.
05

Go live

We deploy into your Microsoft environment, complete integration and testing, and provide support after handover.

Case studies

Case studies we have delivered.

Defect data used for predictive maintenance

A defect management app for CalMac built with Power Apps, Power Automate, SharePoint lists and Power BI, giving 1,700 employees across 33 ships instant notifications, an auditable defect trail and trend analysis for predictive maintenance.

Read the CalMac case study

FAQ

Frequently asked questions.

What types of AI do you develop?

Machine learning, natural language processing, intelligent document processing, predictive analytics and AI-powered automation, integrated with Azure and Power Platform.

Do we need large amounts of data?

Not always. We assess your data readiness early and can work with smaller datasets using transfer learning, or help you build a data strategy first.

How long does a custom AI project take?

A focused pilot typically takes 8 to 12 weeks. Full production deployment, including integration and testing, usually runs 3 to 6 months depending on scope.

Will we own the AI models you build?

Yes. All IP created during your project belongs to you, with full documentation, source code and training handed over.

Book a call about custom AI.

Tell us what you are working on and we will come back to you within one working day to arrange a call.