Map the workflow
Define inputs, outputs, exceptions, and the decisions that must stay with a person.
Azure AI Integration & Workflow Planning · Utah & remote
Connect AI to a workflow your team can actually run.
For teams exploring Azure AI, start with a specific business process, the systems it touches, and how the people responsible will review and maintain the result.
What we can scope
Start with the work, not a tool for its own sake.
Plan integrations
Review data sources, access permissions, existing applications, and the boundaries for information handling.
Evaluate before rollout
Agree on representative test cases, review failure modes, and assign owners for monitoring and ongoing changes.
These are example use cases, not claims about a particular client engagement.
Before implementation
The design depends on your Azure environment, data sensitivity, available services, security policies, and operating costs. We scope those with your team before implementation.
Does every automation need generative AI?
No. A rule-based integration may be more reliable and easier to maintain. AI is worth considering when the task requires it and the team can evaluate its outputs and manage exceptions.
Choose a useful first step.
Our workflow pilot is intended for teams considering an implementation budget of $10,000 or more. Scope and pricing depend on your project.
Check pilot fit →Explore workflow automation →Microsoft 365 Workflow Automation →Power BI Reporting & Data Workflow Planning →Microsoft 365 Copilot Implementation & Readiness →
Microsoft, Microsoft 365, Copilot, Azure, and Power BI are trademarks of Microsoft. Product names describe the technologies discussed and do not imply an endorsement.