AI integration services that fit your systems.

AI integration is the work of connecting artificial intelligence — including generative AI and large language models — into the software and systems a business already uses, so it works inside the existing workflow rather than as a separate tool. In practice that means wiring AI into your CRM, helpdesk, website, databases or internal apps through their APIs, grounding it in your own data, and building the automation and guardrails that let it do useful work safely.

Good AI integration is less about the model and more about the plumbing around it: getting the AI the right data, putting it where people already work, keeping it accurate and secure, and controlling cost. That engineering discipline is exactly what Avaib brings, drawing on more than 600 projects delivered since 2004.

Consulting decides where AI should go and why; building a model creates the AI capability itself. Integration is the step that connects that capability into your live systems so it actually gets used — the part where most projects stall.

You rarely need to build a model from scratch. For most business problems, integrating an existing model like GPT or Claude into your systems, grounded in your data, solves the job for a fraction of the cost. Avaib does all three under one team, so nothing gets lost in a hand-off.

Yes — that is the core of what AI integration services do, and one of the highest-value things we deliver. Rather than replacing what works, we connect AI into your existing website, CRM, helpdesk, ERP or internal systems through their APIs, so it fits your workflow instead of adding another tool to check.

If a system has an API or a supported integration path, we can almost always connect AI to it. Where one doesn't exist, our engineers can build the bridge, because we're a software company first.

We use retrieval-augmented generation (RAG): instead of relying on what a model happens to know, we connect it to your own documents and records and have it answer from those, with references back to the source. That keeps answers specific to your business and dramatically reduces made-up responses.

We also test against real scenarios and tune the setup before it goes live, so the AI is dependable on the questions your team and customers actually ask.

Security is designed in from the start, not bolted on. We use least-privilege access so the AI only sees the data it genuinely needs, set clear boundaries on what is sent to any model provider, and — where your rules require it — keep sensitive data inside your own environment.

For regulated industries like healthcare and finance, we factor in the specific data-handling and audit requirements your obligations demand, so integration doesn't create a compliance problem.

No — we design integrations to keep you portable. You own the code, your data stays yours, and we build a model-agnostic setup so you can switch between providers like OpenAI and Anthropic if price, quality or availability changes.

The goal is AI that serves your business, not an integration that quietly ties you to one vendor's ecosystem and their pricing.

Token costs are one of the most common surprises with AI, so we build cost control into every integration: spend limits, caching of repeated requests, choosing a right-sized model for each task, and monitoring so you can see usage in real time.

That way the value is clear and the cost is predictable — no quietly spiralling bill at the end of the month.

It depends on scope — a single, focused integration like a chatbot grounded in your data is a small, fixed engagement, while connecting AI across several systems is larger. Avaib's model is senior engineering at a cost-effective rate, typically around USD 25 per hour, which is why businesses in Australia, the US, Canada and the Middle East work with us instead of paying big-firm prices.

Tell us what systems you run and what you're hoping AI could do, and we'll propose a right-sized engagement with a clear scope and a ballpark price, plus a free, no-obligation written estimate.

Yes. AI and the systems around it keep changing — models update, APIs change, your needs grow — so we stay on to monitor, maintain and adapt the integration rather than vanishing after launch.

You get one accountable team for the whole journey, from the first integration through to ongoing support, with a 30-day post-launch warranty on the work we deliver.