In today’s fast-paced digital environment, organisations are working to integrate artificial intelligence (AI) into their daily operations. However, a recent iManage report indicates that only a minority have effectively embedded AI into their workflows, despite widespread interest in AI initiatives. The research, based on responses from 3,185 professionals across 26 countries, highlights the gap between AI ambition and practical implementation and underscores the role of knowledge foundations.
Published by iManage, the global study examines the current state of AI maturity among professional services firms. The findings show that organisations with mature and well-governed knowledge foundations demonstrate higher levels of AI adoption and operational performance compared to others.
According to the report, 85% of firms are either piloting, implementing, or actively using AI. However, only 17% have integrated AI into their regular operations. This gap suggests that access to AI tools alone does not ensure consistent deployment. Effective use of AI depends on the strength of an organisation’s knowledge management capabilities.
The report indicates that organisations with higher maturity in knowledge work report stronger business outcomes. Companies with more developed knowledge systems are nearly twice as likely to report year-on-year growth, improved profitability, and better financial performance.
These knowledge-mature organisations are also deploying AI within both operational and client-facing workflows. When customer demand informs AI strategies, firms may be better positioned to respond to changing expectations.
One of the challenges identified in the report is the impact of governance gaps. Many firms experience policy-related incidents due to the use of unregulated AI tools, and some delay broader AI adoption because of security concerns. The findings point to the importance of defined governance frameworks that aim to protect operations while supporting AI integration.
Ongoing investment in document and knowledge management systems reflects an effort to address these governance concerns. While 72% of organisations plan further investment within the next two years, the report notes that outcomes depend on the quality and governance of systems rather than technology alone.
The report highlights the importance of knowledge architecture and structured AI adoption for organisations seeking to remain competitive. As AI moves from experimentation toward broader integration, organisations that develop structured knowledge practices may be better positioned to support implementation.
The iManage Knowledge Work 2026 Benchmark Report provides insight into current practices and trends. It reflects ongoing efforts to combine knowledge management with AI capabilities to support operational and business objectives.
In conclusion, organisations that maintain a structured and well-governed knowledge framework may be better placed to translate AI experimentation into longer-term operational impact.
