Orchestration Is Key To Crossing The AI Trust Chasm: Report

At this point, the consensus is clear: While enthusiasm for AI agents remains high, adoption struggles are keeping businesses from realizing the transformational benefits of the technology.

Only 9% of organizations have fully deployed agentic AI, according to the recent “From the Edge to the Core: Bringing Agentic AI to the Heart of the Enterprise” report from Harvard Business Review, Workato, and AWS. The next two years are critical: 86% of respondents are preparing to increase their investments in AI agents, per the Harvard Business Review Analytic Services survey of over 600 IT decision-makers. And as this technology edges closer to the core of business operations, the biggest barrier many companies face is trust.

“Organizations are realizing that AI models alone cannot deliver predictable outcomes. They are investing elsewhere to improve their agentic strategies,” Workato CIO Carter Busse wrote in the report.

Just 6% of respondents said they fully trust agentic AI to securely and accurately handle core, end-to-end processes. Results are better for less mission-critical use cases, and those where employees and AI agents work closely alongside one another. When supervised, trust in agentic AI rises to 30%. And when deployed in a very limited scope, enterprise trust goes up to 43%, per the survey.

To close the trust gap and prepare for increased use of agentic AI, 74% of organizations are either currently working on, or planning to implement enterprise orchestration. Delivered through a unified platform, orchestration helps to solve the three biggest barriers to trust: Context, connectivity, and control.

“If your data is not amplified or orchestrated across your different systems, you get a garbage-in, garbage- out solution. And then when it doesn’t work, people blame the AI,” said Ramanujam Theekshidar, chief digital office, U.S. Electrical Services.