The AI Adoption Paradox: Proven Gains, Stalled Execution
New proprietary research from Fieldguide reveals why firms see measurable AI benefits yet remain stuck in pilot mode, and what it will take to scale.
Why audit & advisory firms struggle to turn vision into execution.
Scaling AI in Audit and Advisory: Why Firms Struggle to Turn Vision Into Execution
A data-driven report for audit & advisory leaders
Firms agree that AI can transform audit and advisory work—but most still haven’t scaled it. This report reveals why AI in auditing and advisory delivers real benefits, why AI audit initiatives stall, and what separates the firms that move from pilots to full operational execution.
Inside the Report
- Why firms believe in AI, but execution consistently breaks down
- The cultural, workflow, and data barriers slowing AI audit adoption
- How AI can help audits reduce manual work and burnout
- How firms are unlocking stronger AI for audit insights
- A practical framework to assess and improve AI readiness
Why It Matters
Audit and advisory work is under rising pressure. Leaders overwhelmingly agree that leveraging AI in auditing and advisory improves speed, quality, and team sustainability—yet the gap between belief and execution keeps widening. This report explains what’s driving that gap and how leading firms are closing it.
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