Agentic at Scale — Page 2

Enterprises must treat AI agents as access-controlled systems to pass audits.

Enterprises deploying AI agents must audit and govern external tool connections by December 2027.

Five threat classes demand controls built into design, vetting, identity, and execution phases.

Regulators now require tamper-proof audit trails that most AI deployments cannot yet produce.

Most AI agent productivity gains depend on governance, not model capability.

Governance, not model capability, determines whether enterprise AI agents reach production.

Security and integration costs often dwarf the per-message license fee in enterprise AI deployments.

Agents consume 10-20x more tokens per task, turning cheaper models into bigger bills.

Enterprises now measure AI agent ROI by profit impact, not productivity hours alone.

Finance teams struggle to track AI agent costs across fragmented vendors and business units.

Real-time spend tracking and agent-level quotas prevent cost overruns.