Designing enterprise AI: Balancing centralization and federation for scalable, trusted intelligence

Unlock the architecture behind truly scalable, context-rich enterprise AI

AI is proliferating across CRMs, ERPs, HR tools, and finance platforms — creating both massive opportunity and increasing complexity. This whitepaper explores how leading enterprises are navigating the shift by architecting federated, secure and adaptive systems that meet business needs today while positioning for long-term success.

Learn why AI must be embedded into the systems people already use — and why a federated model that balances centralized governance with decentralized innovation is key to unlocking AI’s full value. You’ll explore:

• How to align your data and reasoning strategies to power intelligent agents
• Why architectural balance is critical to avoid runaway costs and complexity
• What multi-agent systems look like in real-world enterprise use cases
• Key considerations around data trust, governance, model selection and integration

Whether you're just starting your journey or scaling agentic AI, this guide offers a clear path forward — grounded in modern enterprise architecture and designed for business impact.