Claude AI Integration Services
Claude AI Integrations: Connecting Anthropic's Models to Your Business
Claude is a family of AI models built by Anthropic, used through a chat interface or connected directly to business systems through its API. Claude AI integration means wiring those models into the software you already run so they can work with your own documents, records and processes. HAeX builds Claude AI integrations for UK businesses, and we use Claude-class tools in our own daily work, so what follows is a practitioner’s view rather than a sales sheet.
- We use Claude-class tools ourselves, daily
- Independent: we will tell you when another model suits better
- Built so switching provider later is a decision, not a rebuild
Long
Claude handles lengthy documents in one pass, which suits contract and report work
Per use
API costs are charged by usage, so we estimate running cost before you commit
Portable
We build so changing model provider later is a decision, not a rebuild
£0
Cost of your first scoping call, and of the readiness assessment
Starting with the basics
What Claude is, and why a business would connect it to anything
Claude is Anthropic’s family of AI models. Most people meet it the same way they met ChatGPT: through a chat window, asking it things. Used that way it is useful but isolated, because it knows nothing about your business beyond whatever you paste into it.
Connecting Claude through its API changes what it is for. Instead of a person carrying information to it a paragraph at a time, your own systems can send it work directly and use what comes back. A contract arrives and the key terms are pulled out automatically. A long report is summarised the moment it lands. A customer question is answered from your actual documentation rather than from general knowledge.
That is the whole difference between an AI subscription somebody occasionally opens and AI that is genuinely part of how the business runs. The chat window is a demonstration. The integration is the product.
The honest comparison
When Claude is the right choice, and when it is not
We are independent and we do not resell anything, so here is the straight version rather than the brochure one. Claude tends to earn its place on work involving long documents and careful reasoning: reading a lengthy contract in one pass, working through a detailed report, or handling tasks where following instructions precisely matters more than sounding lively. It also has a reputation for being relatively cautious, which is a genuine advantage when the cost of a confident wrong answer is high.
It is not automatically the right answer. If your team already lives inside a Microsoft or Google environment, the assistant bundled into those tools may get you most of the way with far less work. If your requirement is a straightforward customer-facing chatbot, the choice of model matters much less than whether it is properly grounded in your information. And for some specialised tasks, another provider genuinely performs better.
The useful truth is that model choice is rarely the thing that decides whether a project succeeds. Grounding, scope and access control decide that. Model choice is a tuning decision, which is exactly why we build so it can be changed later without starting again.
| Questions | Claude tends to suit | Consider alternatives when |
|---|---|---|
| Document work | Long contracts, reports, policies read in one pass | Short, simple exchanges where any model would do |
| Risk profile | Where a confident wrong answer is expensive | Low-stakes internal drafting |
| Existing stack | You are not committed to one vendor's ecosystem | Your team lives inside Microsoft or Google tools already |
| Task type | Careful analysis and instruction-following | Highly specialised tasks another provider leads on |
What businesses build
What a Claude integration is usually used for
These are the uses that come up most, and that tend to justify the work.
Document review and extraction
Reading contracts, forms and reports as they arrive, and pulling out the specific details your systems need.
Summarising long material
Turning lengthy documents, threads and transcripts into short summaries that people will actually read.
Answering from your own knowledge
A tool that answers staff or customer questions from your documentation rather than the open internet.
Drafting inside your systems
Producing first drafts of replies, notes and reports where your team already works, rather than in a separate tab.
Powering an internal tool
Sitting underneath custom software as the part that reads, reasons and writes.
Or as a chatbot or agent
If the goal is conversation or completing tasks, the same model can sit behind either.
How we build it
How we integrate Claude into your business
Scoping call
You describe the work. We tell you whether Claude is the right model for it, whether another would suit better, and whether an off-the-shelf tool already does the job.
- Free · 30 mins
Decide what it can see
We agree exactly which documents, records and systems the integration may access, keeping it to what the task genuinely requires and no more.
- Step 1
Connect and ground it
We connect Claude through its API and ground it in your own material, so answers come from your information rather than general knowledge.
- Step 2
Set limits and checks
We define what it may and may not do, and build in checks so it flags uncertainty to a person rather than producing something plausible and wrong.
- Step 3
Test on real cases, then launch
We test against your actual documents and awkward examples, confirm the running cost is what we estimated, and put it live with monitoring.
- Step 4
The question everyone should ask
What happens to your data
Before connecting any AI model to business information, it is worth understanding exactly what leaves your systems, where it goes, and what the provider does with it. Terms differ between providers and between consumer and business tiers, and they change, so we confirm the current position for your specific setup rather than repeating something we read a year ago.
What we control is the part that matters most in practice: we send only the information a task actually requires rather than handing over wholesale access, we keep write permissions separate and deliberately narrow, and we document what the integration touches so you can answer the question confidently when someone asks. For regulated work, or anything involving personal data, this connects directly to our governance practice.
No hidden day rates
What a Claude integration costs
Two costs, and we are clear about both. The build is fixed-price, agreed up front. The running cost is charged by usage, because you pay the model provider for what you use, and long documents cost more to process than short questions. We estimate that figure realistically before you commit, and we design to keep it sensible rather than letting it surprise you.
A single, well-scoped integration
- a short, contained project
A tool built around it
- scoped as a project
Ongoing running cost
- charged per use by Anthropic
First scoping call & readiness assessment
- free
Why HAeX
We use these tools ourselves, which changes what we can tell you
We use Claude-class tools in our own work every day, which means our view of where they are strong and where they are irritating comes from using them rather than from reading the marketing. That is worth something when you are deciding what to build, because the honest limitations rarely appear on a provider’s website.
HAeX started on the talent side of AI. Having placed more than 200 AI specialists into UK businesses, we have also seen the failure patterns often enough to design around them: access granted far too broadly, running costs nobody forecast, and integrations built so tightly around one provider that changing model later means starting again.
And because we are independent and resell nothing, we will happily tell you that a different model, or no integration at all, is the better answer for your situation.
Practitioners, not resellers, using these tools daily.
Built to stay portable, so switching provider is a decision.
Running cost estimated before you commit, not after.
Access kept narrow, limited to what the task needs.
Shaped around your sector
Where Claude integrations tend to fit
- Healthcare
Careful work on lengthy administrative documentation, with information governance leading the design and firm limits around anything clinical.
- Financial services
Document-heavy review and summarising within FCA expectations, with a human sign-off wherever judgement or advice is involved.
- Retail & e-commerce
Product content, supplier documentation and customer replies produced at a volume a small team could not manage by hand.
- Manufacturing
Turning dense 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
- AI Integrations
The full service this sits within, including CRM, ERP and ChatGPT.
- Generative AI Development
Building a tool around the model rather than just connecting it.
- AI Chatbot Development
If the goal is answering customers conversationally.
- AI Governance & Compliance
Working with personal data or under regulation?
Client words
What working with HAeX feels like
Questions, answered
Frequently asked questions
A Claude AI integration connects Anthropic's Claude models to your business systems through the API, so they can work with your own documents, records and processes rather than only answering in a chat window. It is the difference between an AI subscription someone occasionally opens and AI that is part of how the business actually runs.
Claude tends to suit work involving long documents and careful reasoning, such as reading a lengthy contract in one pass, and it is relatively cautious, which helps where a confident wrong answer would be costly. That said, model choice rarely decides whether a project succeeds. Grounding, scope and access control decide that. We recommend based on your task, not on anything we resell.
Yes, and that is the main reason to integrate it rather than just using the chat interface. We connect it to your documentation, records and systems so it answers from your material, and we scope that access to exactly what each task requires rather than granting broad permissions.
There are two costs. The build is a fixed price agreed up front. The running cost is charged by usage directly by the provider, and it varies with how much text is processed, so long documents cost more than short questions. We estimate that realistically before you commit and design to keep it sensible.
Not the way we build. Models and pricing move quickly, so we design integrations so that changing provider later is a decision rather than a rebuild. Some work is always involved in switching, but it should be measured in adjustments rather than starting again from nothing.
The honest answer has two parts. The provider's terms determine what happens to data sent to them, and those differ between tiers and change over time, so we confirm the current position for your specific setup rather than relying on old information. What we control is sending only what a task needs, keeping write access narrow, and documenting what the integration touches so you can answer that question confidently yourself.
Find out whether Claude is the right fit
Book a free 30-minute call. Describe the document-heavy or language-heavy work you want to take off your team. We will tell you whether Claude suits it, whether another model would do better, what the build and running costs look like, and whether something ready-made would already solve it.