Azure AI automation, agents that run business processes end to end, and AI-first contact centers. Each practice serves a named Microsoft FY27 conversation.
Talk to an engineerAgentify your business processes
Design customer journeys that carry through to business action. Extend the contact center already in place or build on Dynamics 365 Contact Center, with explicit human handoffs and governed agents.
Explore contact centerAgentify your business processes
Connect finance, HR, IT and service processes from intake to approved action. Define the owner, the exception path and the evidence before agents take the work on.
Microsoft Copilot Studio and Power Platform orchestrate workflows; Microsoft Foundry agents and MCP-enabled extensibility connect scoped tools. Human approvals remain explicit.
Ubiquitous innovation
Build a unified, governed data and AI estate
Build applications and agent systems around your data, with evaluation and telemetry in the architecture. Start with the decision the application must support, then define how it earns trust.
Microsoft Foundry, Foundry IQ and Fabric form the proposed application and data foundation. The engagement includes model and retrieval evaluation, operational telemetry and a runbook your team can use.
Establish a trusted and secure platform for AI
Make identities, owners, data access and escalation visible before expanding agent autonomy. Design a trusted foundation for the agents already working and the ones you plan to activate.
Microsoft Agent 365 anchors the reference governance model. We map identity and data controls, approval boundaries, evaluation gates and the operational evidence your team needs.
A proposed architecture is a starting point. Capability, permissions and availability are validated as part of the engagement.
Agree the outcome, the boundary and how we will know it worked.
Instrument the current process so the result has something honest to be measured against.
Work inside your boundary, on your identity and data, with evaluation and telemetry designed in.
The running system, its runbook and its evidence — and a team of yours that can run it.
Tell us what has to change, what makes it difficult, and how you will know it worked.