BMC Integrates Governed AI Agents into Enterprise Workflows and Mainframe Operations
Event summary
- BMC Software introduced new capabilities on July 14, 2026, enabling AI agents to securely access and interact with enterprise workflows across mainframe, cloud, and hybrid environments.
- The Model Context Protocol (MCP) innovations allow AI agents to connect to production workflows and live operational data while maintaining governance, visibility, policy controls, and human oversight.
- BMC AMI Assistant now includes an MCP-enabled client for secure access to institutional knowledge and live operational data across IT teams.
- Control-M Archive Service expanded to support both self-hosted and SaaS environments, enhancing compliance and auditing capabilities.
The big picture
BMC's latest advancements reflect the growing demand for governed AI solutions that bridge legacy systems with modern cloud and hybrid environments. As enterprises prioritize operational resilience and compliance, BMC positions itself as a key player in enabling secure, scalable automation across complex IT landscapes.
What we're watching
- AI Governance Dynamics
- How BMC's MCP capabilities will influence the adoption of AI agents in highly regulated industries.
- Mainframe Modernization
- The pace at which enterprises integrate AI-driven automation into legacy mainframe environments.
- Hybrid Environment Scaling
- Whether BMC can sustain its leadership in hybrid environment orchestration amid increasing competition.
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