Services
Strategy that ranks real workflows. Engineers who ship. Governance that says yes safely. Capability that sticks after we leave.
01 — Service
Most AI strategies are a list of tools. Ours is a list of workflows, owners and dollar outcomes — ranked by value and by how ready your data, people and controls actually are.
Outcomes
What you get
02 — Service
We embed a small pod — a lead strategist and forward-deployed engineers — inside your team. We build agents and AI-assisted workflows against real data, in your own AWS, Azure or Google Cloud tenancy, and we don’t leave until they’re running in production and your people own them.
Outcomes
What you get
03 — Service
Good governance is what lets a regulated organisation say yes. We design practical AI policies, controls and assurance that line up with the Privacy Act, the Australian Government’s Guidance for AI Adoption and, for financial services, APRA’s prudential standards.
Outcomes
What you get
04 — Service
Becoming AI-native is a people change before it’s a technology change. We run hands-on programs that give leaders the judgement, and teams the habits, to work alongside agents every day.
Outcomes
What you get
FAQ
No. We’re vendor-neutral and build on the platforms you already use — Amazon Bedrock, Azure AI, Google Vertex AI, Databricks and the frontier model providers. You own everything we build.
Nowhere new. We build inside your own cloud tenancy, in Australian regions by default, using your identity and security controls.
For a well-scoped workflow with accessible data, typically 6–12 weeks from kick-off. The Sprint tells you honestly whether that’s realistic before you commit.
Yes — and we prefer to. Pairing with your engineers is how capability transfers.
No. We handle the inventory, engineering and control design, and work alongside your legal and privacy advisers on the disclosures.
Two weeks, fixed fee, and a production plan you can take anywhere.
