Siloed AI use emerges as top barrier to enterprise transformation

By Milan Rojan

New research presented at the House of Lords has suggested that organisations may be undermining the value of artificial intelligence by failing to establish the collaborative frameworks needed to support its effective use.

The study, has examined how businesses are deploying AI across teams and workflows. Findings have indicated that 55% of professionals have identified isolated AI use or the absence of structured human-machine workflows as their primary operational challenge. The research has argued that while AI tools have become widely available, many organisations have yet to develop the processes required to integrate them into day-to-day operations.

Harjiv Singh, Founder and CEO of CambrianEdge.ai, said: “Most organisations spent the last two years asking which AI model to subscribe to, forgetting to ask how their teams were supposed to work with it. Adding AI to a system built for siloed work is like putting electric lights in a building designed for candles; the architecture needs to change, not just the bulbs.”

The preliminary findings have been presented in London by Harjiv Singh, Founder and CEO of CambrianEdge.ai, during an event at the House of Lords. The presentation has been followed by a panel discussion featuring representatives from academia, business and public policy, who have explored the organisational challenges associated with AI adoption.

According to the study, many businesses have continued to rely on individual experimentation rather than coordinated team workflows. The report has referenced separate research from Boston Consulting Group indicating that while 96% of surveyed chief marketing officers have reported AI-driven transformation initiatives, almost half have continued to use AI primarily for isolated tasks.

Lord Raj Loomba CBE DL, Member of the House of Lords and Founder and Chairman of The Loomba Foundation, said: “AI has arrived at a threshold where the technology is ready, but the organisational architecture has not kept pace. If we do not address this through deliberate design, we risk reducing a transformative technology to a mere collection of individual tools.”

The research has tracked 775 users across 104 organisations, including enterprises, marketing agencies, startups, law firms and educational institutions. CambrianEdge.ai has reported that organisations operating within collaborative AI environments have achieved significantly higher engagement levels and stronger operational outcomes than those relying on disconnected tools and processes.

Among the study’s findings, organisations that have implemented five key infrastructure layers shared tool access, formal training, prompt libraries, quality standards and review processes — have reported significantly greater business impact from AI. The research has also found that organisations with defined handoff procedures between AI-generated outputs and human review have been nearly twice as likely to achieve successful project outcomes.

The report has highlighted what it describes as a growing “handoff deficit”, with 62% of surveyed organisations having lacked a formal process for reviewing AI-generated work before deployment. In addition, 27% of organisations have operated without collaboration infrastructure such as shared access, training programmes or quality controls.

The study has further revealed that 18% of organisations have rolled back or abandoned AI initiatives, citing quality issues and adoption challenges. CambrianEdge.ai has concluded that future AI success may depend less on the technology itself and more on the structures organisations have established around it.