HAeX Custom Generative AI Solutions
Generative AI Development Services To Build Smarter Business Solutions
Generative AI is the kind of artificial intelligence that creates things, writing, summaries, answers and more, rather than only sorting or predicting. Generative AI development services build business tools on top of that technology, the same kind that powers ChatGPT. HAeX builds generative AI tools for UK businesses that draft content, answer questions from your own information and summarise long documents, grounded and checked so they are accurate enough to actually rely on.
- Grounded in your own information, so answers are relevant
- Built to flag uncertainty rather than invent something
- A human kept in the loop wherever the stakes justify it
Seconds
To a usable first draft of work that currently takes someone an hour
Your material
Where answers come from, rather than whatever the model happens to recall
KD 15
One of the more approachable services to start with, and to build a first tool around
£0
Cost of your first scoping call, and of the readiness assessment
The honest position
Generative AI is genuinely powerful and genuinely unreliable
You have almost certainly used it by now, if only by asking ChatGPT something. So you will have seen both sides. It can produce a decent draft of something in seconds that would have taken you an hour. It can also state a completely invented fact with total confidence and no visible sign that it is making things up.
That combination is exactly why sensible businesses hesitate. The upside is obvious: an enormous amount of work in any company is language-heavy, the drafting, the summarising, the answering of questions, and that is precisely what this technology is good at. The risk is equally obvious: something confidently wrong going out in your name, to a customer, in writing.
So the interesting question is not whether generative AI is impressive. It plainly is. The question is what has to be true for it to be reliable enough to use at work.
That is the whole of the job, and it is what proper generative AI development means. A tool built for your business is not a chat box with your logo on it. It is grounded in your own information so its answers come from your material. It is given clear limits so it stays on task. It is built to say when it is unsure rather than filling the silence. Get those right and the gap between “impressive” and “useful at work” closes.
Sound familiar?
The three things businesses worry about, and what we do about each
“It might just make something up”
The right worry to have. We remove it by grounding the tool in your own documents and information, so it answers from your material rather than improvising from general knowledge.
“Our staff are already pasting things into ChatGPT”
Usually true, and usually invisible. A tool built for the business gives people a safe, sanctioned way to do the work they are already doing informally, with your data handled properly.
“We tried it and the output was generic”
Because a general model knows nothing about you. Connected to your own material, with your context and your tone, the same technology produces something specific and useful.
All three are build problems, not limitations of the technology. That is the encouraging part.
What businesses build
What businesses actually build with generative AI
Answering questions from your own documents
A tool that gives staff or customers accurate answers drawn from your policies, manuals and knowledge, rather than the open internet.
Drafting and content
Tailored first drafts of emails, proposals, reports and marketing, ready for a person to refine rather than write from nothing.
Summarising
Turning long documents, threads and meetings into short, clear summaries that people will actually read.
Pulling information out of messy text
Reading unstructured text and extracting the specific details you need, in a consistent format, at volume.
An assistant for your team
An internal tool that helps staff find information and get routine writing done, without pasting company data into public tools.
Or as a chatbot
If the goal is answering customers conversationally, that is a chatbot built on the same technology.
Safety first
How we make generative AI safe to rely on
The difference between a novelty and a business tool is reliability, so that is where the work goes. We ground the tool in your own trusted information, so its answers are drawn from your material rather than invented. We give it clear boundaries, so it stays on the task it was built for instead of wandering into subjects it should not touch. We build in checks so it flags when it is unsure rather than guessing plausibly. And we keep a person in the loop wherever the stakes justify it, which for anything customer-facing or regulated usually means always.
None of this is exotic. It is just the difference between a tool somebody demonstrated once and a tool your team uses on a Tuesday without worrying. Where you are handling sensitive data or working under regulation, this connects directly to our governance work.
How it works
How a grounded generative AI tool answers
The difference in practice
What separates a tool you can trust from one you cannot
The technology in both columns is identical. Everything that matters is a build decision.
| A tool you cannot trust | How we build | |
|---|---|---|
| Source of answers | Whatever the model recalls | Your own documents and information |
| When unsure | Produces something plausible | Says so, and routes to a person |
| Scope | Will attempt anything | Clear limits, stays on task |
| Output quality | Generic, obviously machine-written | Specific to your business and tone |
| Your data | Pasted into public tools by staff | Handled properly inside a sanctioned tool |
| High-stakes work | Goes straight out | Passes a human check first |
Independent by design
The technology we build on
We build on the leading generative AI models from providers such as OpenAI, Anthropic and Google, choosing whichever suits the job rather than defaulting to a favourite, and we connect it securely to your own information and systems. Because we are independent, that choice is based on what performs best for your particular use, not on anything we resell. Models change quickly, so we also build in a way that does not tie you permanently to one provider.
No hidden day rates
What generative AI development costs
A focused generative AI tool is often one of the more affordable custom projects to begin with, particularly as a small first version that proves the value before you expand it. Every project is fixed-price and agreed up front.
A focused generative AI tool
- one of the more affordable starts
A tool connected across several sources
- scoped as a project
Business-critical or regulated builds
- scoped individually
First scoping call & readiness assessment
- free
Why HAeX
We build for accuracy, not for output
Anyone can connect a chat box to a model and call it a generative AI product. Making one reliable enough to put in front of customers, or to let a team depend on daily, is the actual work, and it is unglamorous: grounding it properly, setting limits, testing it against the questions designed to trip it up, and deciding honestly where a human still needs to sign off.
HAeX started on the talent side of AI. Having placed more than 200 AI specialists into UK businesses, we have a clear view of where generative AI can be relied on and where it cannot, and we build that judgement in rather than discovering it after go-live.
Grounded in your material, never improvising from general knowledge.
Model-independent, so you are not tied to one provider.
Honest when unsure, flagging rather than guessing plausibly.
Human oversight kept wherever the stakes justify it.
Shaped around your sector
Generative AI for your industry
- Healthcare
Tools that draft and summarise administrative material, with information governance built in and firm limits around anything clinical.
- Financial services
Drafting and summarising within FCA expectations, with a human sign-off wherever advice or judgement is involved.
- Retail & e-commerce
Product content, customer replies and summaries produced at a volume a small team could not manage by hand.
- Manufacturing
Turning technical documentation and specifications into something staff can query in plain language.
Not listed? The approach is the same. Book a call and we will apply it to your sector.
Related
Related services
- Custom AI Development
The full service this sits within.
- AI Chatbot Development
Want it as something customers can talk to?
- AI Agents
Want it to take actions, not just produce text?
- AI Governance & Compliance
Working with sensitive data or under regulation?
Client words
What working with HAeX feels like
Honestly answered
Frequently asked questions
Generative AI development is building business tools on top of generative AI, the kind of AI that creates text and other content, such as the technology behind ChatGPT. It means turning that raw capability into something reliable for a specific business, like a tool that answers questions from your own documents or drafts tailored content, with the grounding and checks needed to trust the output.
On its own, not always, which is precisely why how it is built matters. A well-built tool is grounded in your own trusted information, given clear limits, and built to flag uncertainty rather than guess. Combined with a human check where the stakes are high, that makes it reliable enough for real business use. Left to improvise, it is not.
Two reasons. First, a general tool knows nothing about your business, so its output is generic and needs heavy editing. Second, staff using public tools with company data is a real governance risk that most businesses have not addressed. A tool built for you fixes both: better output, and your data handled properly.
Most traditional AI sorts, predicts or classifies existing information. Generative AI creates: it writes, summarises, answers and produces content. That makes it suited to language-heavy work such as drafting and answering questions, and it is the technology behind tools like ChatGPT.
The builds that consistently pay for themselves are: answering questions from your own documents, drafting content, summarising long material, and pulling structured details out of messy text. A free scoping call will tell you which of these fits your business and where the value is largest.
Not the way we build. We choose the model that suits the job rather than defaulting to one, and we build so you are not permanently tied to a single provider. Models change quickly and prices move, so keeping that flexibility is worth a little extra care at the design stage.
Put generative AI to work, safely
Book a free 30-minute call. Tell us about the language-heavy work that eats your team’s time, the drafting, the summarising, the endless answering of the same questions. We will show you what a properly grounded tool could take on, and how we would keep it accurate.