- Only 34% of organizations say they trust the actions of their agents
- 77% of companies in ‘agent chaos’ have deployed agents
- These organizations focus on the wrong thing (models and tools)
New Boomi data has claimed that while 86% of businesses have progressed from agentic AI pilots to actual production-level implementation, only 34% trust the actions their agents take.
But these trust issues don’t stem from model intelligence – Boomi argues that data quality, integrations, governance and control may be to blame.
The survey divides respondents into distinct categories, with the bottom quartile for preparedness being referred to as experiencing ‘agentic chaos’. Among those in agent chaos, a whopping 77% are still moving AI agents into production, highlighting a worrying gap.
AI trust is entirely in the hands of businesses
With more than three in four of the companies in agent chaos still pushing ahead with their plans, Boomi warns they could face unexpected costs from compliance fines, lost customers and operational downtime.
On the flip side, the top quartile were categorized as being in ‘agent control’, with more than half (55%) of them saying they are very confident in their agents’ decisions and actions.
Additionally, the report criticizes those in agent chaos for focusing on the wrong thing, with around half (51%) prioritizing the AI model or tool maturity rather than the true causes of mistrust.
“Agents can only be trusted to act on data that has been properly activated, connected and managed, and most companies deployed agents before they did that work,” wrote CEO Steve Lucas.
At the end of the day, Boomi’s data suggests that pressure to demonstrate AI value and ROI can actually lead to premature implementation before the foundations are in place, leaving organizations playing catch-up in a far more ineffective way.
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