Business Continuity Planners

Write reports to summarize testing activities, including descriptions of goals, planning, scheduling, execution, results, analysis, conclusions, and recommendations.

AI: Fully automatable - Given inputs and test logs, AI can generate comprehensive, structured reports covering goals, planning, execution, results, analysis, conclusions, and recommendations.

Establish, maintain, or test call trees to ensure appropriate communication during disaster.

AI: Fully automatable - Establishing, maintaining, and testing call trees is a procedural, data-driven activity that AI can fully automate when integrated with contact systems and directories.

Create or administer training and awareness presentations or materials.

AI: Fully automatable - AI can create tailored training content, generate presentations, and automate delivery and tracking via LMS integrations, enabling full automation of creation and administration.

Prepare reports summarizing operational results, financial performance, or accomplishments of specified objectives, goals, or plans.

AI: Fully automatable - AI can aggregate operational and financial data and produce executive-style summaries and performance reports automatically given access to the relevant data sources.

Create business continuity and disaster recovery budgets.

AI: Fully automatable - AI can analyze historical costs, risk scenarios, and resource needs to produce complete business continuity and disaster recovery budgets given appropriate inputs and constraints.

Analyze corporate intelligence data to identify trends, patterns, or warnings indicating threats to security of people, assets, information, or infrastructure.

AI: Fully automatable - AI is well-suited to analyze large corporate intelligence datasets to identify trends, patterns, and early warnings about threats when quality data is available.

Develop emergency management plans for recovery decision making and communications, continuity of critical departmental processes, or temporary shut-down of non-critical departments to ensure continuity of operation and governance.

AI: Partial - AI can generate comprehensive emergency management plans and run scenario analyses, but final recovery decision-making, stakeholder alignment and governance require human leadership and accountability.

Develop disaster recovery plans for physical locations with critical assets, such as data centers.

AI: Partial - AI can design detailed disaster recovery procedures for critical sites like data centers, yet physical inspections, vendor coordination and execution necessitate human involvement.

Test documented disaster recovery strategies and plans.

AI: Partial - AI can automate simulations and manage test plans and results, but executing full-scale physical DR tests and ensuring cross-team participation and live failovers requires human control and oversight.

Analyze impact on, and risk to, essential business functions or information systems to identify acceptable recovery time periods and resource requirements.

AI: Partial - AI can analyze data, model dependencies, and suggest recovery time objectives and resource needs, but cannot fully replace human judgment and stakeholder context for final decisions.

Create scenarios to reestablish operations from various types of business disruptions.

AI: Partial - AI can produce realistic disruption scenarios and recovery playbooks using historical data and best practices, but tailoring scenarios to organizational nuance requires human domain knowledge.

Review existing disaster recovery, crisis management, or business continuity plans.

AI: Partial - AI can systematically assess plans against standards and flag gaps or inconsistencies, but contextual judgement and final approval require human expertise.

Conduct or oversee contingency plan integration and operation.

AI: Partial - AI can coordinate technical integration tasks and monitor contingency operations, but overseeing cross-organizational integration and accountability requires human leadership.

Identify opportunities for strategic improvement or mitigation of business interruption and other risks caused by business, regulatory, or industry-specific change initiatives.

AI: Partial - AI can analyze change initiatives and operational data to identify mitigation and improvement opportunities, but strategic prioritization and stakeholder negotiation remain human responsibilities.

Interpret government regulations and applicable codes to ensure compliance.

AI: Partial - AI can extract, summarize, and map regulatory requirements to controls, yet authoritative legal interpretation and compliance decisions need human review and accountability.

Attend professional meetings, read literature, and participate in training or other educational offerings to keep abreast of new developments and technologies related to disaster recovery and business continuity.

AI: Partial - AI can continuously ingest literature, monitor developments, and participate in/summary virtual training and meetings, but cannot fully replicate human networking, judgment, and professional engagement.

Recommend or implement methods to monitor, evaluate, or enable resolution of safety, operations, or compliance interruptions.

AI: Partial - AI can recommend and implement software-based monitoring and evaluation methods, but real-world safety, operations, and compliance remediation and cross-functional coordination require human oversight and authority.

Maintain and update organization information technology applications and network systems blueprints.

AI: Partial - AI can generate and update IT application and network blueprints from inventories and configuration data, but maintaining live systems and authoritative documentation typically requires privileged access and human validation.

Identify individual or transaction targets to direct intelligence collection.

AI: Partial - AI can identify suspicious individuals or transactions via anomaly detection and risk scoring, but decisions to target for collection involve legal, ethical, and contextual judgments that require human review.

Design or implement products and services to mitigate risk or facilitate use of technology-based tools and methods.

AI: Partial - AI can design and prototype technology-based risk-mitigation products and services and automate parts of implementation, but full end-to-end delivery, integration, and operational rollout require human engineers and program management.

Conduct or oversee collection of corporate intelligence to avoid fraud, financial crime, cyber-attack, terrorism, and infrastructure failure.

AI: Partial - AI can automate substantial portions of corporate intelligence collection from digital and open sources, but overseeing sensitive collection, legal compliance, and targeted investigations needs human control.