Automating Business Workflows with Auditable Agentic AI

The Agentic Opportunity: High-Value Use Cases

Generative AI has revolutionized individual tasks, but the next frontier—Agentic Process Automation—promises to autonomously execute entire multi-step business workflows.

However, this leap forward brings significant risk. Gartner predicts that over 40% of agentic AI projects will be scrapped by 2027 due to immature governance and unclear ROI. Without a robust framework for auditability, autonomous agents risk regulatory failure, opaque decision-making, and unmonitored data leakage.

Don’t let your initiative become part of the 40%.

This technical guide provides the blueprint for building Auditable Agentic Workflows—systems that combine the reasoning power of LLMs with the strict governance of Knowledge Graphs. Discover how to deploy agents that don't just act, but provide an immutable, verifiable chain of custody for every decision they make.

What You Will Learn in This Guide:

• Real-World Implementation Blueprints: See how IoT Incident Support and Financial NIGO Resolution workflows are automated using Squirro’s GraphRAG and Agent Framework.
• The 4-Layer Enterprise Architecture: A detailed technical breakdown of the Security, Deterministic, Agentic, and Enterprise layers required for safe automation.
• Graph-Based Workflow Governance: How to use Knowledge Graphs and industry standards (like BPMN) to create a "Single Source of Truth" for your agent’s logic.
• The 9 Critical Risks of Autonomous Agents: From "Ghost Errors" to "Model Drift," understand the specific liabilities of non-auditable AI and how to neutralize them.

Complete the form to access the full guide and discover the technical strategies required to build resilient, high-value autonomous agents.