Microsoft Shares How Azure AI Is Scaling Expertise Across Marketing
Microsoft is showing how its marketing team is using AI to scale expertise, improve workflows, and keep pace with a rapidly growing volume of work. Using Microsoft Azure Foundry and AI agents, the team is turning expert knowledge and business context into repeatable processes that help people work more efficiently while keeping human judgement at the centre.
Here’s how:
AI Knows More When It Knows Your Business
AI is only as good as the data and business context it can access, from documents and workflows to business systems, communications, and institutional knowledge. Microsoft IQ and Microsoft Foundry help connect this context to AI, allowing agents to work from the same knowledge teams rely on every day.
What If Expertise Could Be Built Into Every Review?
Microsoft turned an expert-defined content review rubric into a repeatable AI workflow using Microsoft Foundry, helping identify gaps and opportunities before content reaches a human reviewer. The approach saves an estimated 2,000 hours annually, while allowing experts to focus on judgment, coaching, and experience rather than repetitive reviews.
Would Your Customers Say the Same Thing?
The AI Messaging Assistant (AMA) helps teams evaluate messaging and positioning from different audience perspectives before it goes to market. Built with Microsoft Foundry, it combines customer insights, product knowledge, messaging guidance, and business context to help teams assess whether messaging is clear, relevant, and actionable.
What Happens When Everyone Has the Same Context?
As launch activity increases and priorities shift quickly, Microsoft uses agents built on Microsoft Foundry to connect planning backlogs, documentation, meeting signals, and operational systems. This gives teams a shared view of important developments and changes, so they can spend less time gathering information and more time deciding what to do next.
The Goal Isn’t to Replace Expertise — It’s to Scale It
Across these examples, the goal isn’t automation for its own sake but making expertise available wherever it can create value. People provide the judgment and strategy, while AI helps scale that expertise across teams and throughout the organisation.
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