Opaque diffs
Teams compared PDFs by hand; subtle wording shifts in reporting timelines or definitions were easy to miss until an audit or regulator question surfaced them.
iRegu · Document intelligence
Know exactly what changed—before and after the rule moved
Policy and compliance teams were buried in PDFs. When a regulation was amended, they manually diffed clauses and still missed nuances. They needed to compare pre- and post-regulation text effortlessly, pair changes with AI-assisted suggestions and evidence ideas, and map each delta to internal compliance levels—without another consulting project.
Pre / post compare
AI suggestions
Evidence ideas
Compliance levels
What changed for the team
Side-by-side clarity
Versions open next to each other—additions, removals, and moved clauses jump out.
AI accelerates review
Suggested interpretations and next steps—always validated by humans who own the risk.
Mapped to posture
Each material change ties to a compliance tier and control family—not a floating footnote.
Pre vs post
Structured comparison of regulation versions—no more eyeballing two 200-page PDFs.
Effortless compare
Jump to deltas, annexures, and definitions that actually moved.
AI + evidence
Suggestions for likely impacts and the artifacts that would satisfy an examiner.
Level mapping
Map changes to your compliance ladder—from policy to control test to attestation.
The challenge
Regulatory change arrived faster than legal could brief the business—and “we read the circular” was not the same as “we know what to change in controls and evidence.”
Interpretation bottlenecks
Every change sparked the same email chains—without a shared workspace to capture agreed meaning and evidence expectations.
Weak mapping to posture
Even when deltas were known, linking them to internal compliance levels and control tests was ad hoc—so reporting to committees stayed high-level and vague.
From version delta to controlled response
iRegu connects document intelligence to the way your organization already measures compliance maturity.
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Versions
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Diff
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AI assist
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Evidence
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Levels
Pre- and post-regulation views
Load two effective dates or document IDs and review changes in context—chapter, annexure, and cross-references stay aligned.
Effortless comparison
Highlight additions, deletions, and substitutions; filter noise so reviewers spend time on material shifts only.
AI suggestions
Machine-assisted prompts flag likely business impacts, dependencies, and questions for Legal & Compliance to confirm—accelerating triage without replacing judgment.
Evidence suggestions
For each delta, see practical evidence patterns—logs, attestations, committee minutes, samples—that match how your examiners expect proof to look.
Map to compliance levels
Tie changes to your internal ladder—from policy acknowledgment through control testing—so dashboards reflect real posture, not generic “awareness.”
Shareable narrative
Export a defensible story for Risk and the business: what changed, why it matters, and what was done— with pointers to artifacts.
Outcomes
The team traded heroic PDF sessions for a repeatable change pipeline—faster, clearer, and easier to defend.
Earlier detection
Material deltas surfaced in hours, not weeks—buying time to update procedures before effective dates hit operating metrics.
Consistent interpretation
AI-assisted prompts and human sign-off lived in one thread—reducing contradictory advice across regions.
Stronger supervisory story
Compliance levels, evidence, and change history lined up—so “show your work” stopped being a scramble.
See iRegu document intelligence
Walk through scan, compare, and workflow hooks—aligned to your policy lifecycle and control taxonomy.
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