Copilot · Agents · Data Microsoft partner· Cloud · AI · Security
AI that
ships
Copilot, agents and AI apps that reach production, not another demo.
- Copilot adoption
- Agents and apps
- Data foundations
Six kinds of AI workMicrosoft stack only
Past the
pilot
Most AI projects stop at a demo that impressed a room. We pick use cases that pay, get the data ready and build them to run in production.
Microsoft 365 Copilot rolled out with the permissions, training and measures that make people actually use it.
Agents that answer, route and act inside the tools your teams already use.
Custom applications on Azure AI Foundry, with evaluation, monitoring and cost limits built in.
Microsoft Fabric foundations so AI answers from clean, governed data, not whatever was lying around.
Policies, access controls and testing that let legal and security say yes.
AI designed into your products, services and processes and built for scale, often co-invested by Microsoft.
Same work, three resultsMicrosoft PDMs · Clients · VC & PE
What it
wins you
Seats that get used and Azure AI workloads consuming in your accounts.
We land the workload →AI in your business, with Microsoft co-investing in the build where you qualify.
Built for your sector →Whether the AI in the deck is real, who owns the models and data, and whether the moat holds.
We look under the hood →Four stepsUse case first · Data second
From idea
to adoption
- 01Choose
A workshop to find the use cases with a measurable payoff, ranked by value and effort.
- 02Ready
Data, permissions and security checked so the AI only sees what it should.
- 03Build
The first use case built, tested against real questions and measured against the baseline.
- 04Adopt
Rolled out with training and usage reporting, then the next use case on the list.
Recognised by MicrosoftTransport for NSW · Project Guardian
Project
Guardian
A 12-month trial exploring how AI and advanced sensing can identify potentially dangerous activity along railway corridors, giving transport teams greater visibility of risks and the chance to respond earlier.
- 01Sense
Advanced sensors watch the rail corridor at Kingswood.
- 02Combine
Cloud brings the complex sensor data together in one place.
- 03Detect
AI identifies potentially dangerous activity along the line.
- 04Act
Transport teams see the risk sooner and respond earlier.
Microsoft is proud to be working alongside Transport for NSW and its technology partners 4Zero and Converged Cloud on this initiative, bringing together cloud and AI capabilities to help turn complex sensor data into actionable intelligence.
- Client
- Transport for NSW
- Project
- Project Guardian
- Where
- Kingswood, NSW · rail corridor
- Trial
- 12 months
- Partners
- Microsoft · 4Zero · Converged Cloud
- Our part
- Cloud and AI that turn complex sensor data into actionable intelligence
What people ask firstShort answers · No spin
Is our data ready for Copilot?
Usually not quite. Oversharing is the common problem. We check permissions and sensitivity labels before rollout, not after.
Can Microsoft fund an AI project?
Often, for the right use case and customer. We'll confirm the current program on the first call.
How do you measure whether it worked?
We agree the measure before we build: time saved, tickets deflected, usage or revenue. Then we report against it.
One conversationReply within one working day
Make it
real
Bring the use case. We'll tell you whether it's worth building.
Talk to an AI lead →