Business Impact Analysis for Generative AI and Agentic AI in Regulated Industries

Document Information

• Template Version: 1.0

• Industry Focus: Generative AI and Agentic AI in Regulated Sectors (e.g., Finance, Healthcare, Critical Infrastructure)

• Purpose: This template assesses the potential business impacts of implementing or disrupting Generative AI (e.g., content generation models) and Agentic AI (e.g., autonomous decision-making agents) systems, including operational, financial, reputational, and regulatory consequences.

• Responsible Parties: Business Continuity Manager, Risk Management Team, IT Operations, Business Unit Leaders

Introduction

Business Impact Analysis (BIA) for AI systems evaluates the consequences of AI system disruptions or failures on business operations. In regulated industries, AI disruptions can have cascading effects on critical processes, customer trust, and regulatory compliance. This analysis supports business continuity planning, risk management, and investment decisions for AI implementations.

Key Objectives:

• Quantify potential impacts of AI system disruptions.

• Identify critical AI-dependent business processes.

• Establish recovery priorities and timeframes.

• Support resource allocation for AI resilience.

• Inform risk mitigation and insurance strategies.

BIA Triggers:

• New AI system implementation

• Major AI system updates or migrations

• Regulatory changes affecting AI use

• Identified vulnerabilities or incidents

• Annual business continuity reviews

BIA Scope and Objectives

Scope

• AI Systems Covered: [List specific Generative AI and Agentic AI systems]

• Business Processes: [List processes dependent on AI systems]

• Impact Timeframes: [Define short-term (hours/days), medium-term (weeks/months), long-term (months/years)]

• Geographic Scope: [Regions or locations affected]