New Ricoh research finds nine in ten decision-makers believe their tools, systems, and processes already work together. Three in four employees say their jobs would be easier if they did. That perception gap is now the main drag on AI adoption.
Key Takeaways
Ask an executive whether the company’s technology stack is integrated and the answer is almost always yes. Ask the people who use it all day and a very different picture appears. A new survey from Ricoh puts numbers on that disconnect for the first time at scale, and it lands at an awkward moment: just as companies push AI agents into everyday workflows that depend on the very connections leaders believe already exist.
Ricoh’s 2026 Workplace Technology Adoption Gap survey, released October 21, polled 2,017 full-time workers in the U.S. and Canada in September: 1,511 employees and 506 business and IT decision-makers at director level and above. On almost every measure, the two groups describe different companies.
90% of decision-makers believe their organization’s tools, systems, and processes are connected. Yet 76% of employees say their jobs would be easier if those same tools worked better together. 70% of decision-makers rate their technology as highly or well-integrated across teams such as IT, HR, and Facilities, against 55% of employees. And 55% of employees say the time they spend managing workplace technology tools interferes with their productivity. The tools meant to remove work have become work of their own.
The gap extends to how decisions get made. 71% of decision-makers say their organization usually seeks employee input before rolling out new technology; only 43% of employees say that happens. Three in five employees report a disconnect between the tools their organization considers most useful and the tools that are actually most useful to them. And in a striking admission, 81% of decision-makers say their organization invests in new workplace technology faster than it helps employees learn to use it effectively.
The divide is sharpest on AI. 91% of decision-makers are confident their AI investments deliver expected value, while 53% of employees say AI creates friction or extra work. Of the four tool categories Ricoh tested, AI tools produced the lowest employee-reported productivity gains. Workflow and process-management tools fared little better, with 60% of employees saying they create friction, and 56% saying the same about information and data access tools.
“AI creates value when it makes work easier, not when it adds another layer of complexity,” said Carsten Bruhn, President and CEO of Ricoh North America. Amy Loomis, Group Vice President of Workplace Solutions at IDC, put the risk more directly: “Fragmented technology, data and workflows create avoidable complexity that many employees are left to navigate themselves.”
Other recent research shows where that complexity ends up. Hubstaff’s State of the Workweek 2026, a survey of 1,068 full-time U.S. computer-based workers released October 27, finds 79% use AI tools for work, but only 26% of AI users take on more work with the time they save. Meanwhile 46% say the workload expected of them has risen since they started using AI. 53% receive AI-generated work from colleagues that needs significant correction at least monthly, and 45% spend an hour or more a week reviewing or fixing it. “AI is giving time back to individual employees, but most organizations aren’t capturing it as capacity,” said Jared Brown, CEO of Hubstaff.
The perception gap is not limited to North America. Jabra’s WorkLife 2026 study of more than 6,000 workers in six countries, reported by IT Brief, found 44% of C-suite respondents say their organization has at least three AI adoption measures in place, compared with 14% of individual contributors. 38% of individual contributors say their employer has taken no action on AI or that they are unaware of any, against 10% of top management. 64% of individual contributors have had no AI training or only a brief introduction, versus 26% of top managers.
Leaders are not imagining their investments. They are seeing them from a position where the integrations, the training, and the support are visible and the daily workarounds are not. Ricoh’s data shows what employees do instead: 45% use non-approved tools at least monthly to get work done more easily, and only 66% of employees agree they have clear guidance on responsible AI use, against 90% of decision-makers. “Connecting those components can reduce risk and make the approved path the easiest path for employees to get work done,” said Bob Lamendola, Chief Digital Services and Delivery Officer at Ricoh North America.
None of this means the investments were wrong. It means the scorecard is. Leaders are grading their technology on what was bought and connected on paper; employees are grading it on how many systems they touch to finish a task. Until those two scores converge, every new tool, including every AI agent, will inherit the friction already sitting between them.
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