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   Companies confess their agentic AI goals aren't really working out - and a   
   lack of trust could be why   
      
   Date:   
   Wed, 14 Jan 2026 20:10:00 +0000   
      
   Description:   
   Many companies are still operating AI agents in silos  a lack of trust could   
   be preventing them from setting it free.   
      
   FULL STORY   
      
   Three in four (73%) organizations admit there's a gap between their ambitions   
   and reality when it comes to deploying agentic AI tools , and it's because   
   they lack trust.    
      
   Just to drive that message home, a report from Camunda report reveals that   
   despite 71% of organizations using AI agents, only 11% of use cases reached   
   production last year.    
      
   Business risks (84%), transparency (80%) and regulatory/compliance concerns   
   (66%) are the main hurdles  but businesses are still going all-in on   
   investments, leading to appallingly low ROI.   
      
   Agentic AI isn't being used to its full potential   
      
   Four in five were found to be using AI agents as chatbots or assistants only,   
   with nearly half (48%) admitting that their agentic systems work in silos,   
   lacking full context. Many AI agent applications also require human approval,   
   preventing them from being as effective as the technology suggests.   
      
   "Right now, exercising caution with agentic AI means many organizations cant   
   move beyond pilots or isolated use cases," Camunda Customer Success SVP Kurt   
   Petersen wrote. "Once a foundation of trust is in place, agents can become   
   powerful multipliers inside governed processes instead of siloed copilots or   
   chatbots."    
      
   However, those who did use agentic AI's full capabilities saw strong results   
   95% saw business growth from automation, and nearly four in five (79%) plan    
   to increase automation spend as a result. With tech stacks becoming far more   
   distributed (76% agree), agentic AI could hold the key to tying multiple   
   systems together.    
      
   Camunda says the answer lies in agentic orchestration, which means the   
   combination of deterministic orchestration (fixed rules and workflows) and   
   dynamic orchestration (agentic AI being able to respond and adapt to   
   variables).    
      
   ======================================================================   
   Link to news story:   
   https://www.techradar.com/pro/companies-confess-their-agentic-ai-goals-arent-r   
   eally-working-out-and-a-lack-of-trust-could-be-why   
      
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