# AWS and Workato tackle AI agent deployment

> Building AI agents is easy, but deploying them safely across enterprises remains the real challenge.
- Title: AWS and Workato tackle AI agent deployment | Shortify
- Summary: Building AI agents is easy, but deploying them safely across enterprises remains the real challenge. Enterprises struggle to move AI agent pilots into…
- Keywords: agentic ai, aws, workato, ai deployment, enterprise governance, ai agents, business, management, tackle, agent, deployment, Harvard Business Review
- Source: Harvard Business Review — https://hbr.org/sponsored/2026/10/from-bedrock-to-business-the-last-mile-of-agentic-ai
- Published: 2026-10-14T14:07:51+00:00
- Read time: 1 min
- Topics: agentic ai, aws, workato, ai deployment, enterprise governance, ai agents, business, management
## Building agents is easy, deploying them is hard
Organizations have found that building AI agents has become easy, driving increased investment. However, safely deploying agents across enterprises remains difficult, with few enterprises fully trusting AI agents for core business processes.

> safely deploying agents across the enterprise remains difficult
## Pilots stall at the governance gate
Enterprises are launching numerous pilots of AI agents but struggling to get these pilots into production. The barriers to scaling agentic AI are not technology problems, but governance problems.

> The barriers to scaling agentic AI are not technology problems, but governance problems.
## AWS and Workato offer guardrails
Enterprises need guardrails around identity, policy enforcement and data to demonstrate business value and ROI. Enterprises are having success by partnering with AWS for infrastructure and Workato as the control and execution platform.
## Key takeaway

Enterprises struggle to move AI agent pilots into production due to governance barriers, not technology, and are partnering with AWS and Workato to add guardrails around identity, policy and data.