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Application Impact Analysis Mandate for Resilience in 2025. Application impact analysis: a risk-based approach to business continuity and disaster recovery has suddenly become a highly relevant reference architecture because the failure pattern has changed. Business Continuity and Disaster Recovery used to fail loudly—a system went down, everyone noticed, and you rallied. However, in 2025, systems can stay online while outcomes go wrong. As AI agents and automation accelerate decisions, silent failures now create the biggest risk: wrong approvals, wrong payments, wrong triage, and wrong compliance calls—often fueled by poor data quality, broken integrations, and unseen dependency chains. Consequently, “restoring systems” is no longer the finish line. Leaders must restore correct outcomes, protect decision integrity, and prove accountability across applications, data pipelines, and AI-driven workflows. High-level AIA process (1–7) Scope the key applications and mission-critical services Define outcomes and assign an Intent Owner Tier criticality (what must recover first) Map dependencies (apps, data, integrations, AI) Quantify impact (downtime cost + wrong-outcome cost) Set targets (RTO/RPO + recovery order) Validate + operationalize (scenarios, controls, runbooks)

Application Impact Analysis Mandate

Application Impact Analysis Mandate (AIA) calls for a resilience framework leaders need in 2025, when AI agents and complex dependencies make “uptime” an incomplete measure of safety. This guide explains AIA, compares it to BIA, and delivers a 30-day executive sprint plan to prevent silent failure

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