• Webinar: From AI Agents to Managed AI Systems (2026)

    Register Now

  • New Executive Playbook: Industrialize AI for Enterprise-Scale Execution

    Access Now

  • Webinar: From AI Agents to Managed AI Systems (2026)

    Register Now

  • New Executive Playbook: Industrialize AI for Enterprise-Scale Execution

    Access Now

  • Webinar: From AI Agents to Managed AI Systems (2026)

    Register Now

  • New Executive Playbook: Industrialize AI for Enterprise-Scale Execution

    Access Now

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Upcoming

Webinar

AI in 2026: From Isolated Agents to Managed, Observable AI Systems

The shift from AI experimentation to enterprise-grade AI operations

6th May 2026, 11 AM UAE/GST

6th May 2026, 11 AM UAE/GST

Enterprises have moved fast with AI in 2025 and early 2026, deploying agents across customer service, operations, document processing, and decision support. Now most organizations run dozens of disconnected agents with no unified visibility, no governance, and no way to measure what's working.

The result? AI agent sprawl. Rising costs. Inconsistent outputs. And growing risk no single team can control.

Leaders are asking harder questions: How do you manage 50 AI agents across 10 teams? Who's accountable when an agent impacts revenue or compliance? What does it take to move from isolated agents to a managed, observable AI operating layer?

This session maps the shift from fragmented AI deployments to orchestrated, observable, and governed AI systems that deliver measurable outcomes at scale.

Key Insights on Managed & Observable AI Systems:

  • Why isolated AI agents create hidden operational risk, cost sprawl, and accountability gaps

  • What "managed AI" actually means in practice — orchestration, monitoring, and lifecycle control

  • How leading enterprises are building observability into their AI systems from day one

  • The architecture shift from single-agent deployments to multi-agent operating platforms

  • How to measure AI system health, performance, and ROI across the enterprise

  • A practical framework for transitioning from AI experiments to production-grade managed AI

Must Watch For:

Enterprise leaders and teams who:

  • Have deployed AI agents across multiple teams or business units without centralized oversight

  • Face growing AI costs with limited visibility into what's driving spend or delivering value

  • Need to demonstrate AI accountability, auditability, and compliance to boards or regulators

  • Are evaluating orchestration platforms to manage multi-agent AI environments

  • Want a clear roadmap from pilot-stage AI to managed, production-grade AI systems

  • Are responsible for AI strategy, infrastructure, or governance at the enterprise level

This is a live session. Seats are limited.

Register now to secure your spot and join the live Q&A with our speaker. A recording will be shared with all registrants after the session.

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Speakers

Akhil Koka

Akhil Koka

CEO, Magure

Pranav Agrawal

Pranav Agrawal

CTO, Magure

Ready to Bring Structure to Enterprise AI?

Ready to Bring Structure to Enterprise AI?

Speak with our experts to see how managed AI and lifecycle observability turn pilots into production-ready systems.

Speak with our experts to see how managed AI and lifecycle observability turn pilots into production-ready systems.

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