Generative AI solutions
Generative AI that solves a real business task.
Assistants, summarisation and content tools built on your own data, measured against a clear business goal.
Why teams call us
Problems this solves
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01
A demo that never reached production
Pilots look impressive but stall without accuracy targets, security review or an owner.
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02
Staff paste data into public tools
People already use AI chat tools, sometimes with confidential data.
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03
Knowledge spread across documents
Answers exist in manuals, policies and tickets, but take too long to find.
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04
Repetitive writing and summarising
Reports, emails and case notes take hours each week.
Our approach
We start by choosing one task where generative AI can measurably help, such as answering staff questions from internal documents, drafting first versions of routine reports, or summarising long cases. We agree how success will be measured before building anything.
Solutions are built with access control, logging, prompt-injection defences and human review where answers affect customers. We choose between commercial and self-hosted models based on accuracy, cost and where your data is allowed to go.
What is included
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Use-case selection
Tasks ranked by value, feasibility and risk.
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Document assistants
Answers from your documents, with sources shown.
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Drafting and summarising
First drafts and summaries for people to review and approve.
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AI features in your product
Generative features added to your existing apps through APIs.
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Evaluation
Test sets and accuracy measurement before and after launch.
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Guardrails and governance
Access control, logging and policies for safe use.
What you receive
- Use-case assessment
- Evaluation test set and results
- Working solution in your environment
- Security and data-flow documentation
- Usage and cost reporting
- Handover and training
Technology we work with
- OpenAI
- Anthropic Claude
- Google Gemini
- Llama
- Azure OpenAI
- Amazon Bedrock
- Python
- LangChain
Industries
How an engagement runs
Every engagement starts with a signed agreement and an advance payment as set out in your proposal. Work begins once both are complete.
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01
Discover
Task, data, users and success measures agreed.
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02
Prototype
A small working version tested against the evaluation set.
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03
Build
Production version with security, logging and integrations.
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04
Launch and measure
Rollout, usage and accuracy reporting, and improvement.
Ready to start? Talk to us directly.
Tell us what you need in a few lines. A specialist replies with next steps and a written proposal before any work begins.
Frequently asked questions
Can't find your answer? Ask us
Will our data be used to train the AI provider's models?
How do you measure whether it works?
What does generative AI cost to run?
Can AI replace our staff?
Start with a conversation.
Share a few details. A specialist replies with next steps, usually starting with a short call.