Deploying AI Agents At Scale

3 Patterns to move beyond Proof of Concept

AI agents are moving from experimentation into real business workflows. But for data and AI leaders, the challenge is no longer just building a successful pilot — it is scaling agents securely, reliably and with access to trusted enterprise data.

This guide explores practical patterns for deploying AI agents at scale, including:

How to identify agent use cases that can move beyond POC
The role of governed, high-quality data in successful AI agent deployment
Different agent patterns, including data agents, conversational agents and multi-agent systems
How to balance innovation with security, governance and operational control
Examples of organisations applying agents to deliver measurable business outcomes

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Date: 1.8.2018

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