The platform functions by integrating a proprietary Context Engine that maps an organization’s internal knowledge, ongoing workflows, and historical data. This architecture enables AI to move beyond isolated tasks by understanding the broader operational environment. By connecting to existing infrastructure—including Microsoft Azure AI, Copilot, and Power Platform—the system allows companies to utilize their current investments rather than rebuilding their technology stack from scratch.
Jaam Automation Debuts M. Platform to Orchestrate Agentic Workflows
While 88% of organizations have experimented with artificial intelligence, only 7% have successfully scaled the technology across their operations. London-based jaam automation is attempting to bridge this gap with the launch of M. by jaam, a platform designed to synchronize human workers, existing systems, and AI agents within complex business processes.
Andrew Murphy, chief strategy officer at jaam automation, noted that business context remains a primary bottleneck for widespread AI integration. The M. platform addresses this by allowing companies to introduce automation at a controlled pace, starting with process analysis and moving toward full-scale optimization. As the system monitors decisions and outcomes, it creates a feedback loop that permits organizations to gradually increase AI autonomy while maintaining human oversight. This approach aligns with industry trends toward 'Universal Orchestration,' a concept identified by Gartner as businesses struggle to coordinate multiple AI agents alongside human teams.
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