AI Integration
Your AI finally knows your business.
We connect AI to your CRM, help desk, databases, and internal files, so it works with what you already run instead of asking you to replace it. If a built-in feature already does the job, we'll tell you.
The answers are already in your systems. AI just can't see them.
- “ChatGPT is smart, but it knows nothing about our customers.”
- “Our data lives in five places.”
- “We tried an AI add-on and it can't see half our records.”
- “We can't replace the CRM we have.”
Your customer history lives in the CRM, the support history in the help desk, the numbers in accounting, and the know-how in a shared drive nobody can search. A general assistant can't reach any of it, and the add-on your vendor sold you only sees its own corner. Replacing everything to fix that isn't realistic, and it shouldn't be necessary.
AI integration for the systems you already run
These are examples, not a fixed list. What we connect depends on where your data lives and what you need AI to do with it.
Your CRM
Customer records, deal history, and notes, so AI can answer questions about an account and write summaries straight back into the record.
Your help desk
Past tickets and how they were resolved, so new replies are drafted from what has actually worked for your customers before.
ERP, accounting, and inventory
Orders, stock, invoices, and financials, so questions about the business are answered from your real numbers instead of last month's spreadsheet export.
Your databases
The data your own apps and tools store, made available to AI with access limited to exactly what each task needs.
Internal documents and shared drives
Policies, manuals, contracts, and proposals, so your team can ask a question and get an answer from your own documents with the source attached.
Email and calendars
Conversations and schedules, so AI can see the context around a customer or project and prepare what someone needs before a meeting.
Older systems with no clean way in
Many older systems were never built to connect to anything. We can often reach them through database access, file exchange, or a small adapter we build, and we'll tell you honestly if we can't.
In practice, that might be an assistant that answers questions from your own records, summaries written back into the CRM so nobody has to type them, or support replies drafted from how similar problems were solved before.
Your data stays under your control.
Connecting AI to your business shouldn't mean handing it the keys to everything. We design every integration around four rules.
Only what it needs
AI gets access to the specific data a task requires, not your whole system.
Read-only first
Where possible, we start with read access, so AI can look but can't change anything until you decide it should.
Your permissions still apply
We build it so that if a person can't see a record in your CRM today, the AI working for them can't either.
You choose the model and where data goes
You decide which AI provider is used and where your data is sent and stored, and you can change that choice later.
How we work
You don't need a long consulting contract first. A focused first integration often takes four to eight weeks, depending on how many systems are involved and how clean the data in them is. If you're earlier than that and still deciding where AI fits, our guide on how to implement AI in your business covers the steps that come before integration.
Take stock of your systems and data
We list every system involved, what data it holds, how clean that data is, and how it can be reached. This is where we find out honestly what's possible before anything gets built.
Connect a first slice and test it on real records
We connect one system for one use case first, then test it against your real records so you can see whether the answers are right. Then we add the next piece.
Hand it over
You get the connectors, the documentation, and monitoring that shows what the integration is doing. It's yours to run, and we can stay on to maintain it if you want.
Everything we connect is yours.
The connectors, the code, the configuration, and the documentation all belong to your business. We don't keep licensing claims on anything we build for you, and it's documented well enough that another developer could take it over. Your systems stay where they are, and the bridge between them and AI is yours too.
Sometimes the built-in feature is the better answer.
You may not need us at all.
If your CRM or help desk already has an AI feature that does what you need, use it. If ChatGPT or Claude has an official connector for your tool, or there's an MCP server for it (a standard way for AI assistants to plug into other software), that may be all you need for asking questions about a single system. We'll say so on the first call. We help when you need AI working across more than one system, over data the built-in feature can't reach, or with rules about who is allowed to see what. For more on that tradeoff, read about when custom beats off-the-shelf tools.
Use a built-in feature or official connector when:
- You only need AI on one tool.
- You mostly want to ask questions, not change records.
- The feature already covers the data you care about.
Bring us in when:
- The answer needs data from several systems at once.
- The data sits somewhere the built-in feature can't reach.
- Different people are allowed to see different things.
Frequently asked questions
AI integration services connect AI to the systems your business already runs, like your CRM, help desk, accounting software, databases, and shared files. Instead of an assistant that only knows what's on the public internet, you get one that answers from your own records, drafts work using your own history, and writes results back where your team already works. Nothing has to be replaced for it to work.
Yes. Keeping the CRM you have is usually the whole point. We connect to it through its API or, where needed, its database or exports, so AI can read customer records and history and, if you want, write summaries or updates back into it. Your team keeps working in the same screens they use today, and the CRM stays the place where your data lives.
There are three routes. An official connector or an MCP server, which is a standard way for AI assistants to plug into other software, works well when you want to ask questions about one tool and don't need AI to change anything. A no-code tool can link a few apps with simple rules. A custom integration pays off when you need AI across several systems, or when it has to respect who is allowed to see which data.
It can be, if the integration is designed carefully. We give AI access only to the data a task needs, start with read-only access where possible, and keep the permissions you already have, so nobody can see through AI what they couldn't see before. You choose which AI provider is used and where your data goes, and every action is logged so you can review it.
Often, yes. Many older systems can still be reached through direct database access, scheduled file exports, or a small adapter we build to sit between the system and the AI. We check whether it's feasible early, while we take stock of your systems, and if one can't be connected reliably, we tell you before you've invested in building around it.
It depends on how many systems are involved and how clean the data in them is. A focused first integration, with one or two systems and one clear use case, often takes four to eight weeks. Connecting several systems with messy or inconsistent data takes longer. We scope it honestly before we start, and you see a first slice working on your real records early.
You do. The connectors, the code, the configuration, and the documentation all belong to your business, and we keep no licensing claims on any of it. It's documented so your own team or another developer can maintain it. If you'd like us to keep supporting it, we can, but you're never locked in to us.
If your CRM's built-in AI does what you need, use it. It's already connected, and someone else maintains it. Built-in features usually see only the data inside that one product, though. When you need answers that combine your CRM with your help desk, accounting, or documents, or you need control over which AI model is used and who sees what, a custom integration is the better fit.
From the blog
Ready for AI that knows your business?
Tell us which systems you run and what you wish AI could do with them. We'll tell you honestly whether a built-in feature already covers it, or whether it's worth connecting and what that would take.