In today's fast-paced digital world, organisations are striving to integrate artificial intelligence (AI) into their daily operations. However, a recent iManage report shows that only a minority have effectively embedded AI into their workflow, despite a high level of interest in AI initiatives. This research, spanning 3185 professionals in 26 countries, highlights the gap between AI ambition and actionable progress and emphasizes the crucial role of strong knowledge foundations.
Unveiled by iManage, this global study sheds light on the current state of AI maturity among professional services firms. The findings revealed that organisations endowed with mature, well-governed knowledge foundations significantly excel in AI adoption and business operations compared to their peers.
According to the report, 85% of firms are either piloting, implementing, or actively utilizing AI. However, just 17% have successfully woven AI into their regular operations. This disparity suggests that the mere availability of AI tools doesn't guarantee their consistent, effective deployment. Instead, the ability to harness AI's true potential relies on the strength of an organisation’s knowledge management capabilities.
iManage underscores that organisations with higher maturity in knowledge work achieve more significant business outcomes. Companies with robust knowledge systems are almost twice as likely to report year-on-year growth, enhanced profitability, and improved financial performance.
Similarly, knowledge-mature organisations are effectively deploying AI within both operational and client-facing workflows. When customer demand shapes AI strategies, these companies are more agile and responsive, ensuring they meet evolving expectations.
One of the notable challenges identified in the report is the slowing effect of governance gaps. Many firms encounter policy-impacting incidents due to unregulated AI tools, with some delaying AI adoption over security concerns. These findings stress the need for well-defined governance frameworks that safeguard operations while facilitating seamless AI integration.
The ongoing investment in document and knowledge management systems reveals a proactive approach to addressing these governance concerns. While 72% of organisations are planning further investments within the next two years, iManage points out that outcomes largely depend on the quality and governance of available systems rather than technology itself.
The research serves as a reminder that strategic investments in knowledge architecture and AI aren't optional—they are essential for sustaining competitiveness. As AI transitions from experimentation to scalable integration, those who cultivate a culture of knowledge and innovation stand at the forefront of the digital transformation landscape.
The iManage Knowledge Work 2026 Benchmark Report is more than just a snapshot of current practices. It is a call to action for organisations seeking to propel themselves into a future defined by AI-driven insights and decision-making.
Ultimately, the secret to sustainable AI success lies in creating a robust, well-governed foundation. Through comprehensive knowledge management, organisations are set to reinvent themselves, leveraging AI advancements to drive further growth and foster stronger client relationships.
In conclusion, companies that create and uphold a solid organisational knowledge structure will be best positioned to pivot AI experimentation into long-term, transformative impact.
