Cross-industry
Blueprints that apply in any sector: finance, HR, operations and IT.
What Cross-industry teams are working on
Some problems are not sector problems. Every organization has a finance close, a service desk, a hiring process and a pile of documents nobody has time to read, and every one of them is now asking the same question about AI: on what data, under whose governance, and how do we know it is right?
The blueprints here are the ones that apply anywhere: the data estate on Fabric, Copilot rollout and the governance that has to precede it, knowledge assistants and agents, invoice and procurement automation, service desk triage, and the MLOps and responsible-AI framework underneath.
Is our data ready for Copilot, or will it over-share?
Can we put one governed estate under the reporting?
Which processes are worth an agent, and which are not?
How do we keep models monitored once they are live?
Where Cross-industry work concentrates
Across the 30 solution blueprints on this page.
What this sector leans on more than the rest of the catalogue does.
Blueprints ready to adapt
The practices behind this work
What the Cross-industry solutions on this page are built with.
Guides from our Data & AI practice
Building business agents with Copilot Studio: where to start
How Copilot Studio agents use knowledge, tools and topics, where they can be published, which governance to set first, and how to choose a first use case.
Automating paperwork with Azure Document Intelligence: models, confidence and human review
How to automate document-heavy processes with Azure Document Intelligence: prebuilt or custom models, confidence thresholds, human review, workflow integration and data residency.
Governing AI agents in the enterprise: identity, permissions and approval
How to govern AI agents with Microsoft Entra Agent ID, least-privilege access, monitoring, content safety guardrails and a practical approval process.
Working in Cross-industry?
Talk to an architect who has delivered in your sector.