Knowledge Foundations Separate AI Success from Experimentation in Professional Services
Event summary
- iManage’s 2026 Knowledge Work Benchmark Report surveyed 3,185 business and technology decision-makers across 26 countries.
- Only 17% of professional services firms have embedded AI into daily operations, despite 85% experimenting with it.
- Organizations with mature knowledge foundations are nearly twice as likely to report year-over-year revenue growth.
- 57% of respondents cite customer influence on their AI adoption strategies, rising to 74% among knowledge-mature firms.
- 30% of organizations have delayed AI adoption due to security concerns.
The big picture
The iManage report highlights a critical bottleneck in the AI adoption lifecycle: the foundational work of knowledge management. While AI experimentation is widespread, translating that into tangible business value requires a mature knowledge infrastructure, creating a significant competitive advantage for firms that prioritize it. This underscores a broader trend where technological advancement is increasingly dependent on robust data governance and organizational knowledge architecture.
What we're watching
- Governance Dynamics
- The increasing frequency of policy-impacting AI incidents will likely force stricter internal governance frameworks, potentially slowing adoption for firms lacking robust knowledge foundations.
- Client Pressure
- Continued client demand for AI-powered solutions will intensify the pressure on professional services firms to accelerate AI adoption, widening the gap between leaders and laggards.
- Execution Risk
- The substantial investment in new document and knowledge management platforms will need to be carefully managed; simply deploying technology without addressing underlying knowledge governance will not yield the promised results.
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