Identify, prove and deploy AI use cases on Azure OpenAI, Azure AI Foundry and Copilot Studio — scoped to outcomes the business can actually measure.
Why this matters
Most mid-market AI initiatives stall not because the model didn't work, but because no one defined what success would look like, what data the workload would touch, or how it would integrate with the systems people actually use.
We run AI implementation as engineering, not theatre: use cases scored against commercial value, scoped to data the foundation can support, built on Azure-native services, with a measured production hand-over.
What it includes
Workshop-led identification and scoring of candidate AI use cases against value, feasibility and data readiness.
Reference architecture across Azure OpenAI, AI Foundry, AI Search and Copilot Studio — sized to the workload.
Content filtering, prompt-injection defence, evaluation harnesses, and human-in-the-loop design.
Single highest-value use case built end-to-end, with measured uplift against a defined baseline.
Hardened deployment, monitoring, cost controls and integration into the systems users already work in.
Use-case intake, evaluation, deployment and governance handed to internal IT and business owners.
Engagement sequence
Candidate use cases scored on value, feasibility and data readiness. Top one or two selected.
Reference architecture, evaluation baseline and responsible-AI guardrails defined.
Selected use case built end-to-end and measured against baseline with real users.
Hardening, integration, monitoring and operating model handed over.
Outcomes
A use case with a baseline-against-now comparison your finance team can defend.
Content filtering, evaluation and human-in-the-loop design built in — not retrofitted.
Intake, evaluation, deployment and governance owned by your team — not by us.
Before you start here
AI implementation depends on identity, data and architecture readiness more than any other service. If those have not been validated, start with a Readiness Conversation — we will sequence the path honestly.
Other transformation services
The next step
Forty-five minutes with a senior architect. We'll ask about your candidate use cases, your data reality and your risk posture — and tell you honestly which to start with.