Providers and distributors of AI-oriented technologies and solutions, on the other hand, can’t afford to be quite as cavalier about employees’ AI misgivings. While they may seem to have come rather quickly, we are seeing clear pain points among users of AI as well as barriers to achieving intended outcomes. And providers and partners who are either unaware of or avoid acknowledgement of known pain points will have a tough time establishing themselves as trusted advisors. And make mistake, for employees, “the underlying capabilities of AI at work remain fragile as 54 percent cite low-quality or misleading AI outputs leading to wasted time and productivity,” showed Accenture’s data. Similarly, new research from Workday shows that while many organizations are realizing gains from AI, a substantial share of that value is being quietly lost to rework and low-quality output. Roughly 37 percent of the time saved through AI, for example, is being offset by rework, according to the SaaS provider of human capital management and financial management platforms. Only 14 percent of employees consistently achieve net-positive outcomes from AI use, showed the Workday data. Accenture, for its part, found that 13 percent of respondent say they “frequently encounter” misleading and low-quality outputs from their AI use. “Employees report spending significant time correcting, clarifying or rewriting low-quality AI-generated content – essentially creating an AI tax on productivity,” said the Workplace study. “For every 10 hours of efficiency gained through AI, nearly four hours are lost to fixing its output.” Interestingly enough, employers aged 25- to 34-years-old, while often assumed to adapt most easily to new technologies, account for nearly half (46 percent) of employees experiencing the highest levels of verification and correction of AI output, hence emerging as a consistent hot spot for AI-related rework. “These employees tend to use AI frequently and with confidence, but they also report spending significantly more time auditing results – adding a hidden layer of work rather than eliminating it,” said Workplace researchers. “In practice, AI accelerates output, while responsibility for ensuring quality remains squarely with the employee.” A lack of consistent accuracy in outputs seems to be creating trust issues that could prove a barrier to further adoption. According to a survey performed for enterprise agentic automation provider Camunda, 84 percent of process automation professionals are worried about the business risk of AI in day-to-day processes when IT does not have the appropriate controls in place (which is often), while 80 percent are concerned about a lack of transparency into how AI is used. What’s more, half of respondents believe untamed agentic AI risks “fanning the flames of poorly implemented processes and automations.” All told, Camunda found that almost three-quarters (73 percent) of organizations admit there is a gap between their agentic AI vision and the current reality. “The promise of agentic AI is undeniable, but trust remains the key barrier to adoption,” said Kurt Petersen, senior vice president, customer success at Camunda. “Right now, exercising caution with agentic AI means many organizations can’t move beyond pilots or isolated use cases. Without clear guardrails and visibility, agents will stay at the edge of the business.” Camunda’s survey bears this out. Eight in 10 process automation professionals said most of their AI agents are chatbots or assistants that simply summarize or answer questions, instead of handling mission-critical use cases. Neary half (48 percent) said their AI agents operate in silos and are not woven into end-to-end business processes. Possibly even more concerning, 39 percent said they flat out don’t trust delegating critical tasks to AI. Likewise, just 27 percent of executives surveyed by Accenture strongly agree that they are comfortable delegating tasks to them. AI Trust Issues: What’s holding your organization back? Business risk of AI in day-to-day processes when IT does not have appropriate controls in place 84% A lack of transparency around how AI is used within business processes 80% Compliance concerns around the use of AI agents 66% Missing internal skills to manage AI effectively 56% Concerns that AI will make poorly implemented processes worse 50% Questions about using agentic AI where it doesn’t add value 42% Don’t trust delegating critical task to AI 39% Source: Coleman Parkes; Camunda Source: Gartner (October 2025) If an AI bubble were to bust, how would it impact your organization’s Investment strategy? Among C-suite repondents Source: Accenture Which, if any, of the following have you done to improve the outputs of Generative AI tools in your company? Source: ABBYY 9-Step PCI Compliance Checklist Source: SecureTrust by VikingCloud 7% 31% 16% 35% 10% Significantly decrease investments (20% or more) Significantly decrease investments (up to 20%) No changes Somewhat increase investments (up to 20%) Significantly increase investment (20% or more) Training staff to better use AI Encouraged teams to share tips and examples for effective use of AI Used AI agents to improve outputs Use process intelligence to improve analysis Used Document AI/intelligent document processing to improve the outputs Set up regular check-ins to review AI use Considering alternative AI tools Used Retrieval augmented generation (RAG) to improve the outputs Asked staff to manually check and correct the outputs Scaling back or removing AI tools that weren’t working We got rid of all AI tools and stopped using AI completely N/A. We have not done anything in particular to improve the outputs of AI tools 50% 43% 36% 35% 35% 33% 28% 25% 25% 20% 18% 2% Install a firewall and VPN Monitor and track user access requests Encrypt data while at rest and in transit Establish a foolproof update schedule Restrict cardholder data with strong password and multi-factor authentication Physically secure any premises where cardholder data is stored Run penetration tests and vulnerability scans Be clear on security policies and keep personnel up to speed Use up-to-date antivirus and anti-malware software to prevent threats 1. 6. 7. 8. 9. 2. 3. 4. 5. Time 17 WINTER 2026 | CHANNELVISION
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