Nearly 90% of companies report AI investments. Fewer than 40% see measurable gains. The gap isn’t the technology. It’s structure: unclear goals, thin governance, and no realistic plan for what comes next. Teams that jump ahead end up with rework and outputs nobody trusts.

This ebook gives internal audit a sequence. Standardize first. Add intelligence. Then delegate workflows to agents, under human oversight, and connect them across systems. You’ll know which problems to solve at each stage, and which to leave alone until you’re ready.

What you’ll find inside:

• The four-stage model: task-based automation, AI automation, agentic automation, and connected agents

• A readiness checklist for each stage, so you can place your team without guesswork

• Use cases you run every cycle: evidence collection, tie-outs and recalculations, contract and policy review, continuous control procedures, risk assessment, and sampling

• Why skipping stages backfires, and what breaks when you do

• How to ensure defensibility: keeping AI-assisted conclusions accountable and traceable with independent oversight and human sign-off. 

• The metrics that change at each stage, from time saved per task to reliable throughput without added headcount

Submit the form and see what’s ahead in your AI journey.