Solutions

Six capabilities, one intelligence stack

Most engagements use two or three of these together: a voice agent that captures the call, a workflow that routes the structured output into a CRM, a mobile app that lets the field crew add context. We pick the combination that fits your operation, not the one that fits a vendor's catalogue.

Click any tile for the deeper detail: how it works, where it fits, where it doesn't, and what a typical build looks like.

Stack

Model-agnostic, cloud-flexible

We deploy on whichever AI provider and cloud region fits your data, compliance, and cost profile. OpenAI, Anthropic Claude, and Google Gemini are our defaults; open-source models (Llama, Mistral) are an option when data sensitivity or volume calls for it.

On the cloud side we run primarily on AWS, Azure, and Google Cloud, with Sydney as the default region for most NZ work. If you have a different requirement, we meet it.

Integrations

We don't replace what works

Most clients already have years of investment in enterprise SaaS that mostly works. We build into those tools, not around them. We integrate fluently with Microsoft 365, Salesforce, HubSpot, Xero, Pipedrive, Slack, SharePoint, Google Workspace, and most other major business platforms.

If you have a specialist vertical tool (Maximo, Sage, MYOB, Vend, Cin7, etc.), there's almost always an API to work with. The audit confirms feasibility before any build commitment.

Not sure which fits?

The discovery call (free, 30 minutes) is built for exactly that. Tell us what's slowing your team down and we'll point at the capability that fits, or tell you honestly that AI isn't the right answer.