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Helping risk and policy teams accelerate policy coverage reviews with ai-powered virtual assistants
Case Study · Yardstick

Helping risk and policy teams accelerate policy coverage reviews with ai-powered virtual assistants

Faster Document Review Cycles Clearer Visibility into Regulatory Coverage Actionable, Explainable Insights for Review Teams
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About the company

Yardstick, a RegTech initiative backed by FinPACT, is developing AI-powered tools to assist governance, risk, and policy teams in reviewing internal documentation against global regulatory frameworks. Rather than replacing decision-making, Yardstick provides structured insights and document-level analysis to support faster, more confident regulatory reviews - particularly in high-stakes sectors like financial services.

The challenge

The problem statement

01

Regulatory Interpretation Challenges

Regulatory language is complex and inconsistent across jurisdictions, making interpretation difficult.

02

Unstructured Gap Analysis

Teams lack a structured way to identify areas where internal documents may not fully cover regulatory expectations.

03

Traceability Challenges

Maintaining traceability and transparency in reviews is time-consuming and prone to oversight.

04

The approach

How Lyzr solved it

Lyzr developed a Policy Coverage Review Assistant - an AI-powered platform that

Intelligent Document Analysis

Extracts metadata and interprets content from both regulatory and internal documents

Regulatory Mapping & Prompt Generation

Breaks down regulation documents to generate review prompts and mapping cues.

Coverage Gap Analysis

Analyses internal documents to assess coverage depth and identify unaddressed areas.

Structured Evidence & Insights

Provides structured outputs such as evidence excerpts, explanation summaries, relevance scores, and section references, without making any decisions or determinations.

Results

The outcome

Faster Document Review Cycles

Yardstick’s internal policy and standards review processes were accelerated from days to hours, freeing up valuable analyst time.

Clearer Visibility into Regulatory Coverage

The system surfaces which regulatory themes are fully addressed, partially addressed, or missing in internal documents - enabling focused internal action.

Actionable, Explainable Insights for Review Teams

Outputs include supporting evidence, relevant document sections, and alignment scores that help review teams assess internal readiness without overstepping into judgment.

How Lyzr builds enterprise AI on AWS
Behind the scenes

How Lyzr builds enterprise AI on AWS
Security

How Lyzr handled security

01

Compliance

The Lyzr Agent Platform is SOC2, GDPR, and ISO 27001 compliant, supporting enterprise-grade data handling and privacy.

02

Data Residency

All change management data remains securely within NTT Data’s Azure cloud, ensuring 100% ownership and compliance with regional data laws.

03

Reflection Module

Lyzr’s reflection system minimizes model hallucination, ensuring high-accuracy, reliable recommendations in critical workflows.

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