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June 14-15, 2026
Mumbai, India
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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.


Sunday June 14, 2026 3:45pm - 4:10pm IST
As enterprises scale AI operations to support hundreds of agents and thousands of users, they inevitably hit an architectural wall. The friction points fall into three categories: visibility, control, and reuse. Teams struggle to discover existing agents and MCP servers across a large organization, platform teams need to govern publication and enforce security, and siloed groups waste time rebuilding capabilities that already exist. Without a centralized registry, agent sprawl grows, compliance risk increases, and critical knowledge stays trapped in local teams. In this session, we will share how the Motorola Solutions Platform Engineering team addressed this bottleneck by building a shared discovery and governance layer for internal AI resources. We will unpack the patterns behind our internal MCP catalog, including agent and prompt versioning, team-based visibility controls, approval workflows, and automated security scanning before resources are broadly shared. We focus on what broke early, and what won trust first. Attendees will leave with a practical, vendor-agnostic blueprint for making MCP resources easier to discover, safer to publish, and more reusable at enterprise scale
Speakers
avatar for Kushagra Mittal

Kushagra Mittal

Software Engineer, Motorola Solutions
Passionate software engineer based in Bangalore, India. Currently a part of team where we lead the effort in AI R&D for the organization.
avatar for Dhruv Agarwal

Dhruv Agarwal

Software Engineer, Motorrola Solutions
Innovative Software Engineer at Motorola Solutions R&D, focused on the future of AI and digital authenticity. Expertly navigating the frontier of MCP, A2A, and C2PA to deliver secure, scalable, and durable software at industry-leading speeds. REVA University Alumnus (9.03 CGPA) with... Read More →
Sunday June 14, 2026 3:45pm - 4:10pm IST
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