From Awareness to Execution: Closing the Regulatory Compliance Implementation Gap

By Jordan Domash, Founder and CEO, Responsiv.

Even under a ‘regulation light’ administration, more than 1,400 new Federal executive orders, final rules, and proposed rules have emerged in 2025 alone. Layer on every potential state and international change, there’s a lot to sift through.

Regulatory teams must then take these often-dense legal texts and quickly interpret and translate this into clear, actionable compliance steps. Advanced technologies, particularly Large Language Models (“LLMs”), combined with centralized workflow platforms, help bridge the crucial gap between regulatory awareness and actionable compliance execution.

Leveraging AI for Initial Regulatory Requirement Extraction alongside Human Validation

Identifying and interpreting requirements from new regulations is a foundational yet painstaking task for legal and compliance teams. Legal texts are often vague, jargon-filled, and open to interpretation. Highly trained LLMs can provide a structured first pass -automatically flagging likely obligations, timelines, and dependencies- before compliance experts step in for final validation and tailoring.

A best practice approach involves a structured two-step process. First, the LLM quickly scans regulatory texts to extract key obligations and requirements, providing compliance professionals with a structured, initial interpretation. Second, these AI-generated extractions are reviewed alongside the original regulatory text, enabling compliance teams to efficiently validate the accuracy and context-specific applicability of each requirement.

This combined approach leverages the speed and consistency of AI while ensuring human oversight and validation, significantly reducing errors and freeing compliance experts to focus on strategic, interpretive and implementation tasks.

Centralizing Workflow: Integrating Extracted Requirements into Actionable Tasks

Fragmented tools such as spreadsheets and email remain the default for many compliance teams. These tools, however, create information silos, risk crucial updates falling through cracks, and lack the transparency necessary for rigorous compliance oversight. When crossing multiple departments, these tools can lead to confusion, inconsistent documentation, and potential non-compliance.

A centralized compliance management platform can help if configured with the following best practices:

1. Establishing a database of requirements clearly mapped to their respective regulations.
2. Creating a workflow to map new requirements to existing ones, ensuring consistency and avoiding duplication.
3. Developing a single source of truth that tracks the status of every new regulation and individual requirement, enabling team updates to be made in one place.
4. Documenting all compliance evidence within a single, centralized repository.
5. Providing permissioned access to the compliance platform, ensuring relevant stakeholders can easily access and update compliance information.

By starting with clearly defined regulatory requirements and validated by compliance experts, a centralized system ensures up-to-date information and accountability. When done right, Tasks – from initial extraction and human validation to assigning responsibilities, tracking evidence, and verifying implementation – are seamlessly integrated into a coherent, single-source workflow. Real-time visibility enables teams to quickly identify outstanding tasks, missed requirements, or potential compliance risks, fostering a proactive compliance culture.

Double Checking Your Work: Leveraging Tailored AI Auditing

AI doesn’t always have to be configured to do the work, it can be even more effective checking your work. This AI-based auditing approach supports compliance teams by addressing key questions:

1. Horizontal Regulatory Scanning: Are you focusing on the most relevant regulations across jurisdictions and domains? Tailored AI can scan across thousands of regulatory updates – federal, state, and international – to flag the ones most likely to impact your organization based on business units, taxonomy and geography. This reduces noise and ensures compliance teams spend time only on what matters most.
2. Comprehensive Requirement Capture: Did you capture all relevant requirements from the new regulations? AI auditors cross-reference requirements extracted by compliance teams, ensuring nothing has been overlooked.
3. Policy Gap Analysis: Are there any gaps within your existing policies relative to the new requirements? AI tools rapidly compare new regulatory requirements with current organizational policies, pinpointing specific gaps requiring action.
4. Requirements-to-Control Mapping: Have all regulatory requirements been effectively mapped to corresponding policies and controls? Tailored AI ensures precise mapping, clearly indicating areas that need additional documentation or updates.
5. Additional Guidance Identification: Is there impactful additional regulatory guidance relevant to your organization? AI systems proactively identify supplemental guidance or interpretations that may influence compliance strategy, helping organizations stay ahead of regulatory changes.

Turning Regulatory Complexity into Competitive Advantage

Staying compliant in today’s fast-moving regulatory landscape requires more than awareness – it demands execution. By combining AI-driven requirement extraction with centralized workflows and tailored auditing, compliance teams can move faster, reduce errors, and stay ahead of change. The result: clear requirements, accountable processes, and confidence that nothing falls through the cracks. With the right system, compliance becomes not just manageable – but a strategic advantage.

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