Deployment operating model
AI that runs reliably in the way your organisation needs.
We design the operating model around your systems, data, risk requirements and team. You can retain ownership, share responsibility or ask us to run it.
Operational workflow
- Your systems and dataExisting tools, access boundaries and data location inform the route.
- Agreed operating modelHosting, controls and handover are defined before delivery begins.
- Clear responsibilityYour team owns it, we run it, or responsibility is shared.
Some of the businesses we build and operate for
How this actually works
No 40-page RFP. Most projects start with one conversation and a short scoping document. Here's the shape of it.
We talk about the problem
A 30-minute call to understand what you actually need AI to do, where your data lives, and what good looks like. No jargon required.
We build and connect it
We handle the models, infrastructure, security, and the integrations into the tools you already use. You stay informed without being bogged down.
We run it or hand it over
Fully managed, co-managed, or owned by your team. Start one way and move to another as your capabilities grow.
Operating model decision
Decide how the service should run
Choose the operating model that gives your team the right control without creating unnecessary operational overhead.
Optional context for the conversation
Bring the context that changes the architecture
Deployment decisions depend on systems, data, controls and the people who will run the service. Bring this context to a working session and we will recommend the least-complex model that fits.
- Where does the relevant data live today?
- Who needs operational control after launch?
- Are there specific security, hosting or procurement constraints?
Technical assurance
Deployment considerations
The practical questions that shape ownership, data handling and operating responsibility. Specific controls are agreed against the service you need.