Regulatory Affairs Managers

Maintain current knowledge of relevant regulations, including proposed and final rules.

AI: Fully automatable - AI systems in 2025 can continuously monitor official sources, detect proposed and final rule changes, and produce summaries and alerts, enabling largely automated maintenance of regulatory knowledge.

Train staff in regulatory policies or procedures.

AI: Fully automatable - AI can create, deliver, and assess interactive training modules, simulations, and updated policy content at scale, enabling fully automated delivery of regulatory training materials.

Monitor emerging trends regarding industry regulations to determine potential impacts on organizational processes.

AI: Fully automatable - AI can continuously ingest regulatory sources, detect emerging trends, and produce impact analyses and alerts for organizational processes with high coverage and timeliness.

Evaluate regulatory affairs aspects that are specifically green, such as the use of toxic substances in packaging, carbon footprinting issues, or green policy implementation.

AI: Fully automatable - AI can assess toxic substance risks, perform carbon footprinting analyses, and evaluate green policy compliance, enabling comprehensive regulatory evaluations of 'green' aspects.

Monitor regulatory affairs trends related to environmental issues.

AI: Fully automatable - By 2025 AI can continuously ingest regulatory publications, news, and guidance, classify and summarize trends, and generate alerts and briefings with minimal human intervention.

Direct the preparation and submission of regulatory agency applications, reports, or correspondence.

AI: Partial - AI can draft and assemble regulatory applications, reports, and correspondence, but directing preparation and executing official submissions require human oversight, signatures, and strategic decisions.

Review all regulatory agency submission materials to ensure timeliness, accuracy, comprehensiveness, or compliance with regulatory standards.

AI: Partial - AI can perform comprehensive automated reviews for completeness, formatting, and many compliance checks, but nuanced legal interpretation and final regulatory assurance typically require expert human judgement.

Provide regulatory guidance to departments or development project teams regarding design, development, evaluation, or marketing of products.

AI: Partial - AI can synthesize regulatory requirements and draft tailored guidance for teams, but contextualized, risk‑sensitive regulatory advice for product strategy often needs human expertise and accountability.

Formulate or implement regulatory affairs policies and procedures to ensure that regulatory compliance is maintained or enhanced.

AI: Partial - AI can draft regulatory policies and recommend procedures informed by regulations and best practices, but implementing, enforcing, and adjusting policies across an organization requires human leadership and change management.

Manage activities such as audits, regulatory agency inspections, or product recalls.

AI: Partial - AI can coordinate documentation, scheduling, analysis, and support for audits, inspections, and recalls, but cannot fully manage onsite inspections, negotiations with regulators, or legally consequential recall decisions.

Communicate regulatory information to multiple departments and ensure that information is interpreted correctly.

AI: Partial - AI can generate and disseminate regulatory information and produce tailored explanations, but ensuring correct interpretation, resolving disputes, and achieving interdepartmental alignment require human facilitation.

Develop regulatory strategies and implementation plans for the preparation and submission of new products.

AI: Partial - AI can synthesize regulatory requirements, precedents, and generate draft strategies and implementation plans, but cannot fully replace human judgment and accountability in tailoring high‑stakes regulatory strategy.

Provide responses to regulatory agencies regarding product information or issues.

AI: Partial - AI can draft and fact‑check responses and automate routine queries, but human review and formal sign‑off are required for official communications and complex regulatory interactions.

Investigate product complaints and prepare documentation and submissions to appropriate regulatory agencies as necessary.

AI: Partial - AI can triage complaints, identify patterns, and draft investigation reports and submissions, but on‑site investigation, technical testing, and final regulatory determinations require human oversight.

Review materials such as marketing literature or user manuals to ensure that regulatory agency requirements are met.

AI: Partial - AI can review marketing copy and manuals for likely regulatory issues, flag non‑compliances and suggest revisions, yet final legal and contextual judgment remains with humans.

Implement or monitor complaint processing systems to ensure effective and timely resolution of all complaint investigations.

AI: Partial - AI can implement and monitor complaint‑processing workflows, automate triage and SLA tracking, but ensuring effective resolution across complex investigations requires human management and intervention.

Oversee documentation efforts to ensure compliance with domestic and international regulations and standards.

AI: Partial - AI can organize, generate, and audit documentation for cross‑jurisdictional compliance, but the oversight, resolution of discrepancies, and final accountability rest with humans.

Participate in the development or implementation of clinical trial protocols.

AI: Partial - AI can assist in designing and drafting clinical trial protocols, simulate outcomes and propose statistical plans, but ethical, clinical and regulatory approvals require human experts and oversight.

Develop and maintain standard operating procedures or local working practices.

AI: Partial - AI can draft and update SOPs based on regulations and best practices and help with version control, but tailoring procedures to local operations and assuming ownership is a human task.

Establish regulatory priorities or budgets and allocate resources and workloads.

AI: Partial - AI can analyze workloads, generate budget scenarios, and recommend priorities, but cannot assume managerial authority or accountability to fully set and allocate budgets without human decision-making.

Establish procedures or systems for publishing document submissions in hardcopy or electronic formats.

AI: Partial - AI can draft procedures and design publishing workflows for hardcopy and electronic submissions, but implementing, validating, and owning those systems for compliance requires human oversight.

Contribute to the development or implementation of business unit strategic and operating plans.

AI: Partial - AI can model scenarios, run data-driven analyses, and generate strategic recommendations, but contributing to and implementing business-unit strategy requires human leadership and cross-functional negotiation.

Coordinate internal discoveries and depositions with legal department staff.

AI: Partial - AI can assist with scheduling, document preparation, and logistics for discoveries and depositions, but cannot manage legal judgment calls, privilege determinations, or sensitive attorney-client coordination.

Evaluate new software publishing systems and confer with regulatory agencies concerning news or updates on electronic publishing of submissions.

AI: Partial - AI can evaluate software capabilities and summarize regulatory updates about electronic publishing, but formal conferral with agencies and authoritative interpretations still require human representation.

Develop relationships with state or federal environmental regulatory agencies to learn about and analyze the potential impacts of proposed environmental policy regulations.

AI: Partial - AI can analyze proposed environmental policies and recommend engagement priorities, but developing and maintaining relationships with regulators and navigating political context requires human interpersonal work.

Monitor regulatory affairs activities to ensure their alignment with corporate sustainability or green initiatives.

AI: Partial - AI can monitor regulatory activities and flag misalignments with sustainability initiatives, but ensuring alignment through policy changes, enforcement, and organizational buy-in needs human action.

Represent organizations before domestic or international regulatory agencies on major policy matters or decisions regarding company products.

AI: Not automatable - Representing an organization on major policy matters demands legal authority, negotiation, advocacy and political judgment that AI cannot provide or be accountable for.