'The trust problem with agentic AI is really a data problem': New report
shows rushing into AI deployment could cost your business big time

Date:
Tue, 21 Jul 2026 12:15:00 +0000

Description:
Rushed AI deployments are causing trust issues data, integrations and governance are more of an issue than capability.

FULL STORY ======================================================================Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Threads Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter Only 34% of organizations say they trust their agents' actions 77% of businesses in 'agentic chaos' have deployed agents Those organizations are focus on the wrong thing (models and tools) New Boomi data has claimed while 86% of enterprises have evolved from agentic AI pilots to actual production-level deployment, only 34% trust the actions their agents are taking.

However those trust issues don't stem from model intelligence Boomi argues that data quality, integrations, governance and controls could be to blame. The research splits respondents into distinct categories, with the bottom quartile for readiness referred to as experiencing 'agentic chaos'. Among those in agentic chaos, as many as 77% are still moving AI agents into production, highlighting a worrying gap. Latest Videos From Watch full video here: AI trust is entirely in the hands of enterprises With more than three
in four of the enterprises in agentic 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 was categorized as being in 'agentic control', and more than half (55%) of them said they're highly confident in their agents' decisions and actions. You may like Breaking free from pilot purgatory. The strategies needed to scale agentic AI Lack of AI governance could force 40% of enterprises to roll back autonomous AI agents by 2027 Why AI coding agents keep stalling before production and the governance controls that fix it

Additionally, the report criticizes those in agentic chaos for focusing on
the wrong thing, with around half (51%) prioritizing AI model or tool
maturity instead of the true causes of distrust.

"Agents can only be trusted to act on data that's been properly activated, connected, and governed, and most companies deployed agents before they did that work," CEO Steve Lucas wrote. Are you a pro? Subscribe to our newsletter Sign up to the TechRadar Pro newsletter to get all the top news, opinion, features and guidance your business needs to succeed! Contact me with news
and offers from other Future brands Receive email from us on behalf of our trusted partners or sponsors By submitting your information you agree to the Terms & Conditions and Privacy Policy and are aged 16 or over.

At the end of the day, Boomi's data implies that pressure to demonstrate AI value and ROI could actually be leading to premature deployment before the foundations are in place, leaving organizations to play catch-up in a far
more inefficient way. Follow TechRadar on Google News and add us as a preferred source to get our expert news, reviews, and opinion in your feeds.



======================================================================
Link to news story: https://www.techradar.com/pro/the-trust-problem-with-agentic-ai-is-really-a-da ta-problem-new-report-shows-rushing-into-ai-deployment-could-cost-your-busines s-big-time


--- Mystic BBS v1.12 A49 (Linux/64)
* Origin: tqwNet Technology News (1337:1/100)