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Enterprise Frameworks for Building Agentic AI Systems at Scale
September 11, 2025

Introduction

The conversation around AI has shifted. Enterprises no longer ask whether to use AI, but how to operationalize it at scale. Enter agentic AI — systems built on autonomous agents capable of reasoning, planning, and executing tasks with limited human input. Yet, without the right frameworks, agentic AI initiatives risk stalling in pilot purgatory.

This article explores enterprise-ready frameworks for building agentic AI systems, from orchestration patterns to governance models.

What Is Agentic AI and Why Frameworks Matter

  • Definition: agentic AI as a goal-directed system composed of multiple agents.
  • Key differentiator vs traditional AI: autonomy, orchestration, adaptability.
  • Why frameworks are critical: repeatability, risk management, cost control, compliance.

Core Enterprise Frameworks for Agentic AI

  1. The Orchestration Framework: Multi-agent coordination patterns: planner–executor, supervisor–worker, peer-to-peer. When to use each (enterprise workflows, IT operations, decision-heavy environments). Tools and architectures enabling orchestration (e.g., LangGraph, AutoGen, uTask).
  2. Governance & Risk Framework: Guardrails for compliance (SOC2, GDPR, auditability). Role-based access control and policy enforcement. “Fail-safe” design: rollback, monitoring, incident response.
  3. Evaluation & Quality Framework: Continuous evaluation loops. Golden dataset creation for agent benchmarking. Human-in-the-loop consensus for edge cases.
  4. Scaling & Deployment Framework: Hybrid deployments: on-prem, private cloud, edge devices. Workflow patterns for scaling agents across thousands of transactions per second. Case example: IT incident remediation agents at global scale.

Business Value of Using Frameworks

  • Faster path from pilot → production.
  • Cost optimization through predictable design patterns.
  • Reduced risk in enterprise AI adoption.
  • Improved ROI measurement across multi-agent systems.

Uber AI Solutions’ Perspective

At Uber AI Solutions, we’ve operationalized agentic orchestration frameworks for internal systems — routing, fraud detection, customer ops — and now extend this expertise to enterprises.

Our uTask orchestration platform and uLabel data quality workflows embed governance and repeatability from day one.

Frameworks aren’t optional. They’re the foundation that separates experimental AI agents from enterprise-ready systems.

Learn how Uber AI Solutions can help your enterprise adopt agentic AI frameworks at scale → Book a demo today.