Knowledge Foundations Fuel AI Use, Growth, and Client Trust, New iManage Study Finds

Why It Matters

Mature knowledge foundations turn AI pilots into measurable business outcomes, giving firms a competitive edge in profitability and client confidence.

Key Takeaways

• Knowledge‑mature firms twice as likely to achieve revenue growth.
• Only 17% embed AI into everyday operations.
• 74% of mature firms cite client demand driving AI use.
• One‑third face policy incidents from unregulated AI tools.
• Professionals waste 37 minutes daily searching for information.

Pulse Analysis

In today’s AI‑driven landscape, the differentiator for professional services is no longer the ability to experiment but the depth of their knowledge infrastructure. iManage’s Knowledge Work Maturity Model (KWMM) provides a roadmap for governing, connecting, and activating knowledge across people, processes, and technology. Firms that have invested in structured repositories, taxonomy, and metadata can surface the right content at the right time, creating a fertile ground for AI models to learn from high‑quality, trusted data. This foundation accelerates model training, reduces bias, and ensures that AI outputs align with regulatory and client expectations.

The report highlights a stark disparity: 85% of firms are testing AI, yet merely 17% have woven it into routine workflows. Governance gaps are a primary culprit, with nearly one‑third reporting policy‑impacting incidents from unregulated tools and 30% delaying adoption over security concerns. Unchecked AI can amplify existing friction, leading to compliance breaches and eroding client trust. Implementing clear AI policies, audit trails, and continuous monitoring transforms experimentation into reliable, repeatable processes that safeguard both data integrity and brand reputation.

Looking ahead, investment in new document or knowledge‑management platforms is expected to rise to 72% within two years, but technology alone won’t deliver results. Organizations must pair platform upgrades with disciplined knowledge governance to unlock AI’s full potential. Firms that achieve this synergy can expect higher productivity—cutting the average 37‑minute daily search time—and stronger client relationships, as AI‑enhanced tools become trusted extensions of professional expertise. In a market where client demand now drives 74% of AI initiatives among mature firms, the strategic imperative is clear: build the knowledge foundation first, then scale AI for sustainable competitive advantage.