NEW REPORTAgent Down: The State of Resilience in Agentic AI Adoption is out now.Read the findings →
FRONTIER AI RISK
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FOR BOARDS AND EXECUTIVES
Can management demonstrate that resilience still holds under the operating model it has today, including the loss of a critical AI capability?
WHAT THE EVIDENCE SAYSThree findings from Agent Down
16%confident of maintaining minimum service levels in a critical service.
39%turned to workforce solutions to recover once the AI failed.
77%expected to breach impact tolerances sooner.
WHAT TO ASK FORFive priorities for organizations adopting agentic AI
1
Test the operating model before committing to itEvaluate the consequences of critical AI failure before making irreversible workforce, technology, or process decisions.
2
Reassess impact tolerancesDetermine whether existing tolerances reflect AI-enabled transaction volumes, dependencies, and available recovery capacity.
3
Establish recovery decisions in advanceDefine the conditions that would trigger alternative vendors, manual processing, external support, or workforce intervention.
4
Understand the human dependenciesIdentify the skills, institutional knowledge, staffing levels, and intervention capabilities required when automated processes fail.
5
Bring evidence into governanceUse scenario testing to demonstrate whether critical AI dependencies can be managed within risk appetite and resilience requirements.
Run Agent Down with your leadership team.See where your own judgment converges and where it differs.
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