A focused task to test
Choose one task and examples of a good answer. We test whether AI is suitable before planning a wider rollout.
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AI development & integration
Help people find information, summarise documents or draft replies. We build AI features into websites, apps and internal tools, with a clear way to check their work.
Discuss an AI ideaA conversation is a good place to start. No technical brief needed.
An illustrative summary with the original kept beside it for review.
Who we can help
What we can build
We agree the features and responsibilities for your project before starting.
Choose one task and examples of a good answer. We test whether AI is suitable before planning a wider rollout.
Make the feature available where people work. We agree what information it can use, who can access it and how the result is presented.
Let people check results and correct mistakes. We define what happens when information is missing, an answer is wrong or a service is unavailable.
How we work with you
Start with a repeatable task and agree what a useful result would look like.
Choose approved information, sample inputs, review responsibilities and limits.
Compare the output with the source and assess running costs, response time and errors.
Decide together whether to improve, extend or stop the trial based on what it demonstrates.
Before you decide
Document volume, model usage, connections and testing affect costs. The AI provider may charge separately for use; we discuss these ongoing costs early.
We identify what data the task needs, whether it may be shared with a provider and who is allowed to use it. Sensitive information needs an agreed handling plan.
Models and source information change. Agree who reviews results, updates the content, monitors costs and decides when the feature needs further testing.
Your questions
No. Start with the task and examples. We compare suitable options against answer quality, cost, speed and your information-handling requirements.
Yes. It can produce inaccurate or incomplete answers. We design a review step and a way to handle uncertain results. It should not quietly make consequential decisions that people are responsible for.
Yes. A limited trial with agreed examples can help you decide whether the feature is useful before investing in a larger system.
The work can include LLM provider integration, retrieval from approved documents and evaluation against agreed examples. Retrieval helps the model use relevant information; it does not guarantee an accurate answer.
Start a conversation
Share your idea, your current setup or the task you want to improve. We’ll help you work out the next step.