How to Use Microsoft Copilot to Support Innovation Roadmaps
Most innovation teams have experimented with Copilot.
Fewer have made it work at the level their role actually demands.
Join us for a 30-minute live session to see how innovation leaders are training their teams to use Copilot as an intelligence engine for their roadmaps.
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Build specialized agents for innovation monitoring (markets, competitors, emerging technologies).
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Connect Copilot to key innovation decisions (opportunities, roadmaps, tech, portfolio).
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Generate on-demand intelligence to replace manual research and support decisions.
- Scale Copilot adoption while maintaining governance, credibility, and trust.
Something worth blocking time for if getting more out of your Microsoft 365 investment is on your roadmap.
Register Today !
Self Diagnosis
Copilot is deployed, but usage remains generic. Why Innovation teams are missing out on its real value.
-> 5 min
AI agents for intelligence workflows
Three types of agents (Retrieval, Task, Autonomous) applied to competitive intelligence and market analysis for innovation.
-> 10 min
Démo : Copilot Studio + Power Platform
Live creation of a specialized monitoring agent, from data sources to a polished deliverable for stakeholders.
-> 10 min
Getting started, risk free
Business model, existing licenses, and a roadmap to launch your first agent as early as next Monday.
-> 5 min
This session is designed for you if you are
- An Innovation Director, Head of Innovation, or strategic innovation leader
- An Emerging Technology, Disruption, or Transformation lead driving future-focused initiatives
- An R&D, Technology, or Innovation team responsible for identifying growth opportunities and market shifts
- Anyone responsible for turning market, technology, and competitive intelligence into actionable strategic decisions
Your organization has invested in Microsoft 365 Copilot. The licenses are active. But without domain-specific specialization, that investment remains underutilized.
Today
- Copilot mainly used for emails and meetings
- Manual, time-consuming monitoring
- Reactive deliverables instead of proactive insights
- AI ROI is hard to demonstrate
After this session
- Specialized agents for CI/MI use cases
- 24/7 autonomous monitoring
- Proactive, scalable intelligence
- A strong business case to expand AI across the organization
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