The Hidden Cost of AI Workflow Failures

Regulated enterprises are facing a massive, unmeasured financial drain. While AI is excellent at initiating customer-facing workflows, it often fails at completing them, maintaining governance, or providing auditable proof of its decisions.

This benchmark report quantifies the "Cost of Doing Nothing" (CoDN) across five regulated industries, revealing that the median enterprise is carrying $1.5M to $3.4M in annual AI workflow risk exposure.

• Key Takeaways from the Report:

  Financial Impact: Annual exposure ranges from $800K for mid-market firms to over $12M for large enterprises.

• The Completion Gap: Incompletion is the single largest cost component, accounting for 45% to 55% of total exposure.

• Regulatory Risk: For large enterprises, compliance exposure scales non-linearly, with penalty structures that are highly sensitive to transaction volume.

• Five Critical Failure Modes: The report identifies five systemic patterns of failure, including "Unowned Completion," "Velocity-Driven Risk," and "Undefended Decisions".

• The Cost of Delay: Waiting just one quarter to address these failures can cost an enterprise between $200K and $3M.

Download the full report to discover your industry’s specific benchmarks and learn how to move from benchmark to action.