HAeX - Professional AI Integration Agency
AI Integration Services That Connect Your AI Tools and Workflows
AI integration means connecting artificial intelligence to the systems your business already runs, your CRM, your finance software, your website, your support desk, so it can actually see your data and act on it. HAeX provides AI integration services to UK businesses that have the tools but not the connections, whether that is linking ChatGPT or Claude to your own information, adding AI to your CRM, or building the connection no vendor has made yet. Nothing gets replaced. Your existing systems simply start working together.
- Your existing systems connected, never replaced
- AI given access only to what it genuinely needs
- Independent, so we connect what suits you
Paid for
Most businesses already pay for AI that cannot see a single piece of their own data
Copy, paste
The most common integration method in British business, and the least reliable
Weeks
A single well-scoped connection is usually a short, contained project
£0
Cost of your first scoping call, and of the readiness assessment
The gap nobody budgets for
You are already paying for AI that cannot reach your data
Look at what your business already subscribes to. There is probably an AI assistant of some kind, licences for a chat tool, AI features bundled into your CRM that nobody has switched on, perhaps a copilot inside your office software. You are paying for all of it.
Now look at what any of it actually knows about your business. Almost nothing. It cannot see your customer records, your pricing, your policies, your order history or your documents. It is powerful, and it is stranded on the other side of a wall from everything that would make it useful.
So people become the bridge. Someone exports a report to a spreadsheet, pastes chunks of it into a chat tool, reads the answer, and types the result back into the system it came from. Someone copies a customer’s details from the CRM into an email because the two do not speak. Somebody keeps two systems in step by hand because no connection between them exists. It works, in the sense that the job gets done. It is also slow, error-prone, and completely invisible on any budget line.
That gap between the AI you pay for and the data that would make it valuable is what integration closes. Not by replacing anything you already run, and not by adding another subscription, but by connecting what you have so the AI can finally see your information and act on it.
Sound familiar?
You are probably here because one of these rings true
Staff are the integration layer
Somebody exports, pastes, reads the answer and types it back. It happens dozens of times a day, nobody logs it, and it never appears in a report as a cost.
Your AI gives generic answers
You tried the assistant your software vendor bundled in. It knows nothing about your customers, your pricing or your policies, so the output is bland and nobody uses it twice.
The connection you need does not exist
Two systems you rely on have no ready-made link, or the AI tool you want cannot talk to the software you actually run. So the plan stalls before it starts.
All three are the same problem wearing different clothes: the intelligence and the information are in separate places.
Worth being precise
What “AI integration” actually means, in practice
The phrase gets used for three quite different things, and the difference matters to what you spend.
Sometimes it means giving AI access to your information, so it can answer using your documents, records and policies instead of general knowledge. This is the most common need and usually the highest value, because it turns a generic tool into one that knows your business.
Sometimes it means adding AI capability into a system you already use, so the intelligence appears where your team already works rather than in yet another browser tab nobody remembers to open.
And sometimes it means connecting two systems that need to share information, with AI handling a step in the middle that requires a bit of judgement rather than a fixed rule.
Most projects are some blend of the three. The useful question on a first call is not which category yours falls into, but something simpler: where is a person currently carrying information between things? That is almost always where the integration belongs.
The difference it makes
What a well-built integration changes
Nothing gets replaced. The tools you already pay for simply start being worth what you pay for them.
AI that knows your business
Answers drawn from your own records, documents and policies rather than generic knowledge, which is the difference between useful and ignorable.
No more human copy and paste
Information moves between systems on its own, so nobody spends their day carrying data from one screen to another.
AI where your team already works
Capability appears inside the tools people already have open, instead of in another tab they have to remember to use.
Fewer transcription mistakes
Every manual re-entry is a chance to get a digit wrong. Removing the re-entry removes the error.
Data handled properly
A sanctioned connection means staff stop pasting company information into public tools to get their work done.
Value from what you already bought
Most businesses do not need more AI subscriptions. They need the ones they have to reach their data.
Our Custom AI Integration Solutions
AI Integration Services That Make Your Existing Tools Work Smarter
These come up repeatedly. If yours is not listed, it is still worth a conversation, because most integration work is variations on the same few patterns.
- 01 · Connect
AI API Integration
Connect AI to your existing systems
Connect AI models to your software so they can securely access information, complete tasks and return useful results automatically. We build the connections that make AI reliable, controlled and ready to scale.
- Connect AI with your existing software and data
- Control access, usage and API costs
- Build reliable connections with sensible error handling
- 02 · Automate
CRM AI Integration
Make your CRM work harder
Bring AI into your CRM to reduce admin and make better use of the information already stored there. Summarise account history, prepare follow-ups and capture key details automatically.
- Reduce manual CRM administration
- Create better-informed sales follow-ups
- Capture customer information more consistently
- 03 · Optimise
ERP AI Integration
Smarter access to your core systems
Connect AI with your ERP to make operational data easier to access and routine processes easier to manage. We keep permissions controlled and human checks in place where accuracy matters most.
- Query ERP data using natural language
- Reduce repetitive checking and updating
- Keep sensitive actions under controlled access
- 04 · Orchestrate
AI System Integration
Bring your systems together
Connect multiple systems so information can move between them while AI handles useful work in the middle. We design the full flow around clear data ownership, controlled access and human oversight.
- Connect systems around a clear workflow
- Define reliable sources for key business data
- Keep people involved where decisions require judgement
- 05 · Extend
ChatGPT Integration
Put AI to work with your data
Connect ChatGPT to your business systems and information so your team can use familiar AI tools with the data they actually need. We create a controlled setup that supports useful work without compromising security.
- Connect ChatGPT with your business data
- Create approved workflows for your team
- Reduce the need for unmanaged AI use
- 06 · Integrate
Claude AI Integration
Connect Claude to the work that matters
Bring Claude into your business workflows where long documents, careful analysis and reliable handling are important. We connect it to the systems and information your team needs while keeping access controlled.
- Work with large documents and business information
- Connect Claude with your existing workflows
- Build controlled, practical AI integrations
How it works
How an integration actually works
What to expect
What working with us looks like
Scoping call
You tell us where people are currently carrying information between systems. We tell you which connection is worth building first, and whether a ready-made option already exists that would do the job for less.
- Free · 30 mins
Map what talks to what
We look at the systems involved, what each holds, and what access each one actually allows. This is where surprises surface, and it is far cheaper to find them now.
- Step 1
Decide the access and the limits
We agree exactly what the integration may read and what, if anything, it may write, keeping permissions as narrow as the job allows.
- Step 2
Build and connect
We build the connection, including the unglamorous parts: what happens when a system is down, what happens to a half-finished task, and how you will know if something breaks.
- Step 3
Test, then run alongside
We test against real cases and run the integration in parallel with the manual way of working until it has earned trust, then it takes over.
- Step 4
Independent by design
We connect what you already run
We are not tied to a platform and we do not resell software, so the integration we recommend is the one that suits your set-up. In practice that means connecting AI models from providers such as OpenAI, Anthropic and Google to the systems you already use, and using automation platforms like Make, n8n, Zapier or Power Automate where a ready-made connection will do the job perfectly well. Where no connection exists, we build a custom one. Where one already exists and works, we will tell you to use it rather than charging you to rebuild it.
No hidden day rates
What AI integration costs
Every project is fixed-price and agreed up front after a free call. Note that connected AI also carries a running cost, since the models charge per use. We will give you a realistic estimate of that before you commit, not after.
A single, well-scoped connection
- a short, contained project
Several systems joined together
- scoped as a project
Custom connection where none exists
- scoped after we look at the systems
If a ready-made connector would do
- we will tell you to use it
First scoping call & readiness assessment
- free
Integration is usually one of the more contained pieces of work we do, which is worth knowing before you call.
Why HAeX
We connect what you have, not what we sell
There is no platform we are paid to push and no software we resell, so the connections we build are the ones that suit your set-up rather than the ones that suit our margins. If a ready-made connector already does the job, we will point you at it and charge you nothing.
HAeX started on the talent side of AI. Having placed more than 200 AI specialists into UK businesses, we have seen where integrations quietly go wrong: permissions granted far more broadly than the task required, no thought given to what happens when a system is unavailable, and nobody able to tell whether the thing is still working six months later. So we scope access narrowly, design for failure, and make it visible when something breaks.
Nothing replaced, your existing systems simply start working together.
Designed for failure, because systems go down and tasks get interrupted.
Access kept narrow, limited to what the task genuinely needs.
Independent, with no platform we are paid to recommend.
Due diligence
Questions to ask anyone building you an AI integration
The right-hand column is simply how we answer them, and why businesses end up choosing us.
| Ask them… | The common answer | The HAeX answer |
|---|---|---|
| What data will the AI be able to see? | Vague, or broader than necessary | Only what the task needs, agreed in writing before we build. |
| Can it change things, or only read? | Often unclear until afterwards | Write access is separate, deliberate and kept as narrow as possible. |
| What happens when a system is down? | Not considered | Designed in from the start, including half-finished tasks. |
| How will we know if it breaks? | You find out when someone complains | It is monitored, and failures are visible rather than silent. |
| What does it cost to run? | Only the build price is quoted | We estimate the ongoing per-use cost before you commit. |
| Is there already a connector for this? | Rarely mentioned | If one exists and works, we will tell you to use it. |
Shaped around your sector
AI integration for your industry
What can safely be connected, and how tightly access must be controlled, differs considerably by sector.
- Healthcare
Connecting AI to clinical and administrative systems with information governance leading the design, and access limited tightly to what each task requires.
- Financial services
Integrations scoped to sit within FCA expectations, with auditability and read-only access wherever write access is not genuinely needed.
- Retail & e-commerce
Connecting your store, stock and support systems so customer questions and order information stop being carried between them by hand.
- Manufacturing
Joining operational and back-office systems, including the ERP work that generic integration tools tend to handle badly.
Not listed? The approach is the same. Book a call and we will apply it to your sector.
A quiet checklist
If three of these sound familiar, integration is the missing piece
- Someone regularly exports data, pastes it into an AI tool, and types the result back
- Two systems hold the same information and a person keeps them in step
- An AI project stalled because the tool could not reach the data it needed
- You have been told the connection you need does not exist
- You pay for AI features nobody uses because they know nothing about your business
- Staff paste company information into personal AI accounts to get work done
- Your CRM record is patchy because updating it is somebody's least favourite job
Client words
What working with HAeX feels like
Questions, answered
Frequently asked questions
AI integration means connecting artificial intelligence to the systems your business already runs, so it can use your real data rather than general knowledge. In practice that covers three things: giving AI access to your information, adding AI capability inside a system your team already uses, and connecting two systems with AI handling a step in the middle. Most projects are a blend of those.
No, and that is rather the point. Integration connects what you already run instead of replacing it. If a system you rely on has no ready-made connection available, we build a custom one rather than suggesting you move to something that does.
It is, provided the access is scoped properly, and that is a build decision rather than a matter of luck. We give an integration access only to the information its particular task requires, keep write access separate and deliberately narrow, and agree all of it in writing before building. Where data is sensitive or regulated, this connects to our governance work.
They overlap and are often done together. Integration is about connection: making sure AI can reach your systems and information. Automation is about the work itself: having repetitive tasks run without a person doing them. An automation usually needs an integration underneath it to be possible at all.
Whichever suits the task. ChatGPT is often the quickest route because teams already know it. Claude is a strong choice where accuracy and careful handling of long documents matter. Because we are independent, we recommend based on fit rather than on anything we resell, and we build so that changing provider later is a decision rather than a rebuild.
A single, well-scoped connection is usually one of the more contained projects we do. Joining several systems is scoped as a larger project. Do bear in mind that connected AI also has a running cost, because the models charge per use, and we will estimate that for you before you commit rather than leaving you to discover it.
With wherever a person is currently carrying information between two things. That is almost always the connection worth building first, it is usually contained enough to finish quickly, and the time it gives back is immediately obvious to the people doing the carrying.
Stop paying for AI that cannot see your data
Book a free 30-minute call. Tell us where your team currently exports, pastes and re-types between systems. We will tell you which connection is worth building first, what it would take, and whether something ready-made would already do the job.