AI integration that actually works in your business
We don't sell AI strategy decks. We build the systems — LLM integrations, AI agents, MCP servers, and workflow automation that replaces manual work and compounds over time.
Why work with us
Custom-built not off-the-shelf
Every integration is purpose-built for your stack, your data, and your workflows. No generic chatbot widgets.
Works with your existing stack
We integrate with whatever you're already using — CRMs, ERPs, databases, spreadsheets. No rip-and-replace required.
Set and forget automation
Once deployed, these systems run autonomously. They process data, trigger actions, and handle edge cases without babysitting.
How it works
AI integration is about connecting large language models and machine learning systems directly into your business operations — not as a novelty, but as infrastructure that does real work.
We build systems that read, write, decide, and act on your behalf. That might mean an AI agent that processes incoming support tickets and drafts responses for human review. Or an automation pipeline that extracts data from PDFs, validates it against your database, and pushes clean records into your CRM.
The key difference between what we build and what most agencies sell is that our integrations are production systems. They handle errors gracefully, log their decisions, and scale with your volume. They’re not demos — they’re tools your team relies on every day.
Frequently asked questions
What does an AI integration actually look like?
It depends on the problem. It might be an AI agent that reads incoming emails and routes them to the right team. Or an LLM that processes unstructured documents and writes structured data into your CRM. Or an MCP server that gives your AI assistant the ability to query your database and take actions. The common thread is that a manual process becomes automated.
How long does it take?
Most AI integrations go from scoping to production in 2-6 weeks. Simpler automations like document processing can be live in days. More complex multi-agent systems with custom training take longer.
Which AI models do you use?
Primarily Claude (Anthropic) and GPT-4 (OpenAI), but we're model-agnostic. We choose based on the task — cost, latency, accuracy, and capability all factor in. We also work with open-source models where it makes sense.
What businesses are the best fit?
Businesses with repeatable manual processes, high data volumes, or teams drowning in admin work. We've worked across aged care, property, professional services, logistics, and SaaS — the common thread is operational pain that AI can directly address.
Related services
Ready to get started?
Book a free 30-minute scoping call. We'll tell you honestly whether we can help.
We take on 2–3 new projects per quarter.