Dennis Zielke & Rene Pajta

Building Blocks for Agentic Solutions in your Enterprise

Treat your AI agents like digital employees. Give them identities, permissions, and robust memory to create real business value.

Building Blocks for Agentic Solutions in your Enterprise
#1about 2 minutes

Moving agentic AI from proof of concept to production

Enterprises struggle to productionize AI agents due to challenges in communicating value, selecting stable technology, and ensuring legal compliance.

#2about 3 minutes

A three-pillar strategy for enterprise AI implementation

A successful enterprise AI strategy requires aligning business outcomes with technology choices and operationalizing development through standardized processes.

#3about 4 minutes

The architectural layers of an enterprise agentic platform

An agentic platform is built on layers including user experience, a runtime, shared memory, and registries for discovering tools and other agents.

#4about 2 minutes

Designing a multi-layered memory strategy for AI agents

A robust memory strategy involves managing session-based context, persistent agent knowledge, and long-term organizational memory to enable hyper-personalization.

#5about 3 minutes

Four patterns for orchestrating multi-agent collaboration

Agents can collaborate through direct connections, as orchestrated tools, within a sequential workflow, or via a decoupled event-driven architecture.

#6about 2 minutes

Implementing human-in-the-loop for agent oversight

Semi-autonomous agents require human-in-the-loop processes for critical decision-making, with interventions designed for the user's specific work context.

#7about 5 minutes

Establishing agent identity for governance and security

Managing agents at scale requires establishing a clear identity for each agent to govern permissions, audit actions, and secure interactions.

#8about 2 minutes

Understanding the maturity levels of agentic AI

The evolution of agentic AI progresses from simple chatbots to semi-autonomous agents with human oversight, which is the current focus for delivering business value.

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Matching moments

Key takeaways for implementing AI agent solutions
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Agentic AI Systems for Critical Workloads

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