At 6clicks, we believe that compliance mapping is not just a checkbox exercise. It’s a way for teams to clearly understand their current standing and act with clarity and confidence. Today, I’m excited to share that we’ve taken Hailey’s compliance mapping capabilities to the next level, leveraging advanced large language models to deliver faster, more accurate results with complete transparency. This latest release not only boosts precision but also enhances context and trust in every mapping decision. Let’s explore deeper below:
Hailey’s compliance mapping and gap analysis features enable users to automatically map requirements across different frameworks (provision to provision) as well as map internal controls to specific framework requirements (control to provision). This allows organizations to streamline alignment across hundreds of standards, regulations, and frameworks and easily identify compliance gaps for proactive remediation.
For framework-to-framework mapping, Hailey provides a similarity score or percentage of matching between requirements and identifies:
Matched – completely similar requirements
In Both But Different – partially similar requirements
In Source Only – unique requirements
With Hailey, teams can stay on top of regulatory overlaps and changes and determine their compliance status within seconds, replacing days of manual work and long cycles of regulatory tracking and control alignment.
Powered by the latest LLM technologies, Hailey’s upgraded compliance mapping capability now uses a four-phase prompt process for enhanced accuracy and traceability.
It starts with an initial prompt to compare provisions (or controls to provisions), then moves to the second phase which consists of enrichment prompts for additional context. From there, Hailey runs revalidation passes—two to three additional checks to boost confidence in the mapping.
The result? Every mapping now includes a clear rationale and supporting evidence, helping teams validate alignment faster and with greater assurance.
Hailey’s improved compliance mapping capability introduces several new components to the process, including:
Similarity labels: Replacing numerical similarity scores, Hailey now assigns a clear Yes (match) or No (no match/partial match) label under each mapped provision for easier decision-making.
Confidence indicators: In addition to similarity categories (Matched, In Both But Different, and In Source Only), every mapping now includes a confidence level—High, Medium, or Low—to improve alignment accuracy.
Explanation and validation: Matched provisions now appear under Hailey Suggestions with:
Explanation: A description of why the provisions were matched, including the reasoning behind the similarity category or confidence level.
Validation: The evidence supporting the match.
Provision improvement guidance: Hailey now also provides provision improvements or tailored recommendations on how to strengthen control implementation based on the provision’s specific requirements.
Gap analysis insights: For provisions that don’t completely match (In Both But Different) or are unique (In Source Only), Hailey identifies missing objectives or key elements needed to fully align the two frameworks at the specific provision level.
By combining speed, accuracy, and transparency, Hailey’s enhanced compliance mapping helps teams:
Minimize manual effort – Cut mapping time from days to minutes.
Improve audit readiness – Strengthen audit defensibility with clear rationale and evidence.
Enable proactive compliance – Identify and prioritize compliance gaps for faster remediation and improvement.
Reduce alignment friction – Streamline multi-framework alignment with actionable improvement suggestions.
Strengthen assurance – Build trust in AI-driven results through transparent categorization and confidence levels.
Discover how Hailey AI delivers more efficient and trustworthy compliance outcomes, from faster framework alignment to stronger audit defensibility.