AI integration that is accurate, governed and genuinely useful

AI delivers real value when it is built into the systems your team already uses, with clear rules, human oversight and measurable results. We add practical AI features to new and existing software, without the hype.

AI Integration & Automation

What is included

Use-case assessment

Identify where AI will save time or reduce errors, and where it will not, before any money is spent on building.

Document and data extraction

Turn emails, PDFs, forms and chat messages into structured data your systems can use.

Intelligent search

Help staff find answers across documents and records, with results that link back to their source.

Workflow automation

Classify, route, summarise and draft, so routine work moves faster and people focus on decisions.

Governance and safety

Human review steps, audit logs, data privacy controls and cost limits built in from the start.

Provider-neutral integration

Azure OpenAI and other leading models behind a single layer, so you are never locked in to one vendor.

Track record

Experience behind this service

Delivered by our lead engineer in previous roles, for FinTech, SaaS and charity organisations.

  • Structured data from chat conversationsAn AI service that extracts trading strategies and trade details from chat messages between traders.
  • Data ready for AI schedulingStructured, query-optimised graph data models that made AI-driven resource scheduling possible.
  • Privacy-safe test dataAutomated anonymisation of sensitive business data for safer testing and compliance.

Is this for you?

Signs you need AI integration & automation

  • Staff re-key information from emails, PDFs or chat messages
  • Teams spend hours searching documents and records for answers
  • You want to use AI but are concerned about accuracy and data privacy
  • AI pilots have not made it into day-to-day use

Technologies

Tools we use

  • Azure OpenAI
  • Azure AI Search
  • Semantic Kernel
  • .NET 10
  • PostgreSQL
  • Azure Functions

How we work

A clear, step-by-step approach

  1. 01

    Identify

    Find high-value, low-risk use cases.

  2. 02

    Prototype

    Test with real examples and measure accuracy.

  3. 03

    Integrate

    Build into your systems with review steps.

  4. 04

    Monitor

    Track accuracy, usage and cost over time.

FAQ

Questions about AI integration & automation

Is our data used to train AI models?

No. We use enterprise AI services configured so your data is not used to train public models, and processing can be kept in specific regions where the provider supports it.

How do you make sure AI output is accurate?

Each use case is tested against real examples with measured accuracy before launch, and important outputs are reviewed by a person or checked against business rules.

Can AI be added to our existing application?

Usually, yes. AI features can be added through an API or background service, without rebuilding the rest of your application.

Ready to talk about your project?

Tell us what you need and we will respond within one business day with next steps.

Start a project