Whitepaper

AI strategy: Enterprise creativity enablement at scale

Fill out the form below to access the exclusive eBook

Enterprise AI is shifting from scattered pilots to unified, scalable systems. Organizations are moving away from building individual agents in isolation and toward platforms that let them generate, manage, and evolve agents through configuration rather than custom code. It marks a change in how intelligence is organized and delivered across the business.

This whitepaper outlines how forward-looking enterprises are making that move. By adopting a platform-first model, with standardized templates, enforced data boundaries, shared tools, and controlled runtimes, teams can deploy agents quickly, maintain consistency, and support a growing set of use cases without increasing operational burden.

As adoption accelerates but capabilities vary widely, the coming 18–24 months will separate companies that establish a durable AI foundation from those that remain fragmented.

Designed for CIOs, CDOs, CTOs, engineering leaders, and transformation owners, this guide details the architectural patterns, tenancy strategies, governance models, risk controls, and roadmap needed to build an enterprise-scale agentic platform.

What you’ll learn

A platform-first approach: How enterprises move from custom-coded agents to configuration-driven, template-based systems that deploy isolated, scalable agents on demand.

The new shape of multi-tenancy: Why shared, isolated, and hybrid tenancy models matter — and how they prevent data leakage, noisy-neighbor issues, and inconsistent agent behavior across teams.

The enterprise reference design: How ServiceNow, Snowflake Cortex AI, LangGraph, Strands, and Bedrock AgentCore fit together to form a governed, multi-tenant agentic platform.

Governance that scales: The role structures, approval flows, lifecycle stages, and access controls that keep hundreds of agents consistent, compliant, and secure across the organization.

A practical risk framework: How to manage exposure across data privacy, brand alignment, operational cost, and architectural drift using a four-pillar risk model.

The path to maturity: A four-stage roadmap that helps organizations progress from isolated POCs to a managed agent portfolio running on a unified, enterprise-grade platform.

Ready to move from scattered agents to a governed, enterprise-grade platform? Download the whitepaper to see how leading organizations are building AI at scale.