Connecting AI models and agents to the systems that actually hold your business — ERP, CRM, SharePoint, databases and your website — with proper permissions, full audit logging, and no vendor lock-in.
A general chatbot that knows nothing about your stock levels, your customers or your contracts is a novelty. The value appears the moment AI can read your actual systems and act inside them.
That's the work we do: the plumbing between the model and your platforms, built so it stays reliable when the data is messy and the volume is real.
The fastest way to create a data breach is an AI assistant that reads everything and answers everyone. We build integrations that inherit your existing access rules.
AI that reads live stock, orders, pipeline and customer history — and writes back into the same systems when a task completes.
Your policies, contracts and archives indexed so staff get cited answers instead of searching folder trees by hand.
Plain-language questions turned into safe, read-only queries against your operational data, returned as answers or charts.
Assistants on your own site that answer from your real product, pricing and policy content — and escalate cleanly to a person.
Grounded answers with citations back to source documents, so staff can verify rather than take the model's word for it.
Where a system has no usable API, we build the layer that gives it one — including legacy software with no modern interface.
The major commercial providers and self-hosted open models. We build so the model can be swapped later, keeping you free to move as pricing and capability change.
Yes. We index your content so answers come from your actual documentation with citations showing the source — not plausible text you can't verify.
Queries run under the permissions of the person asking, so nothing surfaces that the user couldn't already open. Every query and retrieval is logged.
Often still workable — via database reads, scheduled exports or middleware we build around it. We assess feasibility honestly and tell you when an integration would be too fragile to be worth it.
Tell us what platforms hold your data. We'll map what's possible, what it costs to run, and what's genuinely worth integrating first.
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