Service
Generative AI Development for UK Businesses: Tools That Draft, Summarise and Answer
Generative AI development means building tools that write, summarise and answer questions using AI models such as OpenAI and Claude. HAeX builds them for UK businesses, grounded in your own documents and checked by your own people. Price is scoped on a call.
- Answers come from documents you approve.
- A person checks anything that goes outside the firm.
- Every build has a UK GDPR and data flow note.
It is the work of turning an AI model into a tool your staff can trust. The model writes or reads. The tool decides what it sees, what it may say and who checks it.
What is generative AI development?
A bare model on its own can invent facts. A well built tool uses your documents, shows its source and holds back when it is unsure.
Is generative AI right for my business?
It fits if your team spends hours reading, drafting or searching text. Contracts, reports, emails, policies and proposals are common examples.
It does not fit if the answer must be exact every time, such as a tax calculation. Then plain code is safer. We tell you which part suits AI and which does not. For wider options, see AI development.
Generative AI development
What do you build?
We build tools that draft, summarise, search and answer inside your own systems.
Examples include:
A search tool over your policies that cites the page
A drafting tool for proposals, using your approved wording
A summary tool for long documents and meeting notes
A triage tool for incoming email
A tool that fills a form from a document
If a tool must act as well as write, see AI agents.
Here is a worked example with assumed figures. It is not a client result.
What does a worked example look like?
Say your team writes 8 proposals a month and each first draft takes 3 hours. That is 24 hours a month. A drafting tool builds the first version from your past proposals and the client brief. A person edits it in about 1 hour. The saving is about 16 hours a month in this example.
We can work through this with your own details on a free call.
How do you stop it giving wrong answers?
We ground it in your documents, show the source and set it to say "I do not know" when the source is missing. We also test it against real questions before launch.
No tool is perfect. We therefore keep a person on anything that leaves the firm, and we log each answer. You can see where it went wrong and fix the source.
How do you use our private documents?
We connect only the folders you choose. The tool searches them when it answers. It does not need to retrain a model on them.
Your documents stay where they are. Permissions follow the people asking, so a junior cannot read a partner's files by asking the tool. We record which provider sees the text in your data note.
How does a project run, step by step?
It runs in four steps.
- 1
Discovery call (30 minutes)
You describe the text work and the documents.
- 2
Audit and quote
We test the idea on a small sample and quote in writing.
- 3
Build
We build in stages and show you a working version at each one.
- 4
Run and improve
We review wrong answers with you and fix the sources.
Model providers charge by use, so there is a running cost as well as a build cost. We estimate it from your volume before you commit.
What does it cost to run?
We pick the right size of model for each task. A small model can handle simple jobs at lower cost. You see the cost each month in plain figures.
Is it safe under UK GDPR?
It can be. Every build has a UK GDPR and data flow note, a DPIA where needed, and named sign off points.
We state which provider processes text, where and what it keeps. See Claude AI integration for how we handle one provider in detail. For a policy, see AI governance and compliance.
What does generative AI development cost, and what is next?
Price depends on the documents, the checks and the systems involved. We scope it on a free call and quote in writing.
Bring an example of the text work that eats your time. This page sits under AI development. For software with AI inside, see AI software development.
Questions that come up
What is the difference between generative AI and automation?
Automation follows fixed steps. Generative AI reads and writes text. Many tools use both.
Will it make things up?
It can, so we ground it in your documents, show sources and test it. A person checks outgoing work.
Can we use ChatGPT or Claude directly instead?
Often yes for personal use. A built tool adds your documents, permissions and logs.
Do you train a model on our data?
Usually no. We retrieve from your documents at the time of the question.
Can it write in our tone?
Yes, from your approved examples. A person still reads the output.
Is a chatbot the same thing?
A chatbot is one use. See our AI chatbots page.
What happens on the call
- 1
You show us the text work that takes the most time
- 2
We say what AI can do and what it should not
- 3
You leave with a short list of what to automate first and a rough idea of cost
Prefer to talk first? Ring 07435 708864.
What you now know
- What generative AI development is
- Whether it fits you
- What we build
- What a week looks like with and without it
- How wrong answers are controlled
- How your documents are used
- How a project runs
- What it costs to run
- How we handle UK GDPR
- What it costs and your next step
Talk through a generative AI tool
The first call is free. We say what it could draft or summarise for you, and how we check it.