A new commissioned study conducted by Forrester Consulting on behalf of Simpplr highlights a significant "ambition gap" in the enterprise. While three-quarters of IT leaders are eager to adopt AI-powered digital workplace platforms, only 25% have successfully deployed them. The research suggests that the primary obstacle is not the AI models themselves, but a fragmented digital infrastructure that lacks the necessary organizational context and unified data ecosystems to support scaling.
The Gap: 75% of IT leaders want AI-powered workplaces; only 25% have implemented them.
Main Obstacle: 85% cite fragmented data and knowledge systems as the primary barrier to AI success.
Context Crisis: 45% say missing organizational context is why AI fails to meet expectations.
Security First: 78% of organizations require better security frameworks before scaling AI.
Top Priority: 65% are focusing AI investment on employee productivity over revenue growth.
Study Scope: Survey of 310 senior IT decision-makers in North America and the UK (Jan/Feb 2026).
The study emphasizes that "poor AI behavior" is frequently a result of heterogeneous data ecosystems rather than flawed algorithms. Nearly half of respondents identified a lack of organizational context as the reason AI results underperform. For generative and agentic AI to function effectively, unified context is considered nonnegotiable. As organizations layer more AI applications onto disconnected infrastructure, 83% of leaders believe the challenge of unification will only intensify.
"AI is revealing how fragmented the digital workplace is," said Dhiraj Sharma, CEO and co-founder of Simpplr. "You can't scale AI if your digital workplace is disconnected. Most organizations are struggling because their knowledge, workflows, and systems were never designed to work together."
While 63% of IT leaders have documented AI strategies, execution remains a major hurdle. Over half of the respondents struggle with implementing AI observability and testing capabilities. Security also remains the single most cited challenge, with 49% identifying access control risks as a top concern. Leaders are particularly cautious about AI that automatically discovers and connects disparate systems, noting that the infrastructure to support such "agentic" capabilities safely is not yet mature.
Investment in workplace AI is currently driven by operational needs rather than immediate revenue goals. IT leaders are prioritizing speed, agility, and employee effectiveness (65%) over direct revenue growth (43%). The capabilities most in demand include:
Routine Task Automation (51%): Freeing employees for higher-value work.
Information Discovery (50%): Dramatically reducing the time spent searching for data.
To overcome fragmentation, IT leaders are looking toward unified AI-powered platforms that bring knowledge, workflows, and governance into a single foundation. The expected benefits of this move include a 68% increase in productivity and a 55% improvement in both operational agility and employee experience.
By establishing a "EX Knowledge Graph"—a system that synthesizes signals and context across connected apps—organizations can transition from isolated pilots to enterprisewide deployment, finally closing the gap between AI ambition and reality.
Simpplr is the AI-powered intranet for unifying the digital workplace. It brings people, trusted knowledge, apps, and agents into a coherent digital experience. Powered by a proprietary EX Knowledge Graph, the platform synthesizes signals and context across connected systems to deliver relevant answers and actions in the flow of work. More than 1,000 organizations—including AAA, the NHS, and Moderna—trust Simpplr to empower a connected workforce.
TechIntelPro empowers B2B technology decision-makers with the latest industry trends, deep insights, leadership perspectives and actionable intelligence to drive both organizational and professional milestones—and thrive on the tech pulse.