Proactive AI gap analysis for Indian industry.
Global incident trackers document AI failures after harm occurs. India’s TEC incident reporting standard (TEC 57090:2025) deliberately leaves proactive compliance and enforcement outside its scope. Enterprise GRC startups sell private tools behind NDAs.
The Compliance Ledger fills the vacuum: we examine live automated decision systems in sensitive Indian domains (lending, hiring, healthcare, ed-tech) and publish evidence-qualified gap analysis against statutory law and the open SutraCheck rubric—before failures occur.
Deterministic classification. Zero LLM hallucination.
Audit outcomes are not prompted into an AI model. Public findings are fed into SutraCheck’s deterministic rule engine, verifying statutory compliance against coded Indian legal provisions.
[SUTRACHECK-CORE-CLASSIFIER v0.4.2]
TARGET_PROFILE: "FinTech Automated Lending / Retail Credit Scoring (Composite IN-01)"
JURISDICTION: "India (Union) · Sector: RBI Regulated Entities / LSP Intermediaries"
>>> DOMAIN_RISK_EVALUATION
- Domain: "Consumer Financial Credit Allocation"
- Severity Tier: HIGH (Statutory impact on fundamental livelihood and financial access)
- Sensitive Vectors: [Algorithmic Exclusion, Asymmetric Data Ingestion, Black-Box Denials]
>>> COLUMN_A: BINDING INDIAN LAW (STATUTORY)
- Mandate CPA-2019 / RBI-DLG-2022 (Grievance Redressal for Algorithmic Rejections): GAP_DETECTED
Evidence: "No public evidence of algorithmic appeal or grievance escalation in public privacy policy."
- Mandate DPDPA-2023 Sec 5 (Notice & Profiling Transparency): GAP_DETECTED
Evidence: "No public disclosure indicating automated ML risk profiling at consent capture."
- Mandate RBI-DLG-2022 (Regulated Entity & Lending Service Provider Disclosure): SATISFIED
Evidence: "Partner NBFCs explicitly identified in application disclosures and footer."
>>> COLUMN_B: SUTRACHECK VOLUNTARY SUTRA RUBRIC (ACCOUNTABILITY)
- Pillar 1 (Demographic Bias & Fairness Audit Transparency): GAP_DETECTED
Evidence: "No publicly verifiable demographic parity or fairness benchmark reports."
- Pillar 3 (Human-in-the-Loop Escalation for Borderline Rejections): GAP_DETECTED
Evidence: "Zero-touch straight-through processing; no human review conduit disclosed."
- Pillar 4 (Adverse Action Explainability & Plain-Language Reasons): PARTIAL_DISCLOSURE
Evidence: "High-level factor categories listed in FAQs without individualized actionable rationale."
MATRIX_RESULT: 2 BINDING GAPS | 2 VOLUNTARY GAPS | 1 PARTIAL | 1 SATISFIED
Why proactive, public evaluation is missing.
Every existing initiative in the ecosystem is either reactive or private. Nobody is publishing public, evidence-qualified gap analysis before disaster strikes.
Incident Trackers & MIT
Databases like the AI Incident Database and MIT's classifier catalog harms post-catastrophe. None specialize in Indian jurisprudence, and none evaluate compliance before a breach.
TEC Standard (TEC 57090:2025)
India's Telecommunications Engineering Centre issued standard TEC 57090:2025, but it explicitly confines itself to incident database schemas and taxonomy, leaving proactive compliance auditing and enforcement outside its scope.
The Compliance Ledger
Proactive, evidence-qualified, public evaluation. Applying the SutraCheck two-column rubric against publicly verifiable disclosures to identify statutory and voluntary gaps before harm occurs.
Latest Published Analysis
Composite — Automated Underwriting & Alternative Credit Scoring
An evidence-qualified gap analysis of an archetypal Indian digital lending platform utilizing machine learning models to score creditworthiness and automate loan approvals. Evaluated against binding Indian statutes (DPDPA 2023, Consumer Protection Act 2019, RBI Digital Lending Guidelines) and voluntary SutraCheck governance pillars.
The 6 Non-Negotiable Features
How The Compliance Ledger maintains rigorous defensibility and objectivity across every published gap analysis.
Public Selection Methodology
Non-arbitrary criteria: sector risk classification (lending, hiring, healthcare, ed-tech), verifiable public documentation, and regulatory relevance.
SutraCheck Engine Output
No freehand essays. Public facts are fed into the SutraCheck classifier engine, publishing the actual terminal matrix alongside analysis.
Enforced Hedged Syntax
No bare verdicts. Findings are structurally locked to: "no public evidence found of [X], as of [date], based on [source]."
7-Day Right of Reply
Pre-publication notification window for named subjects to submit factual corrections or disclosure updates, published verbatim.
Opt-In Self-Review Track
Forward-looking AI platforms can voluntarily request a Ledger review as tangible proof of transparency and compliance readiness.
Permanent Version History
Company practices evolve. Re-evaluations are published as dated entries to the permanent record, mirroring our changelog discipline.
The Comprehensive Guide to Indian AI Governance & Auditing
Our definitive technical and regulatory manual detailing how The Compliance Ledger and SutraCheck evaluate automated systems against the DPDPA 2023, RBI digital lending rules, and voluntary benchmarks.
The Indian Regulatory Matrix
Analysis of DPDPA 2023 Sections 5, 6, and 9; RBI credit underwriting limits; and the statutory scope of TEC 57090:2025.
Read chapter→CHAPTER 03Deterministic Rule Engines
Why stochastic LLM-as-a-judge fails in legal audits, and how SutraCheck achieves zero-hallucination repeatability.
Read chapter→CHAPTER 04The Two-Column Matrix
Segregating enforceable statutory liabilities (Column 1) from voluntary governance and ethical aspirations (Column 2).
Read chapter→Frequently Asked Questions
Key insights regarding our deterministic engine, Indian statutory scope, and the 7-day pre-publication Right of Reply.
How does the Ledger differ from global AI trackers?
Global trackers catalog harms retrospectively after catastrophe and map to EU/US laws. The Compliance Ledger evaluates live Indian deployments proactively before harms occur.
Do you inspect private code or proprietary weights?
No. We evaluate only publicly verifiable documentation: terms of service, privacy notices, engineering blogs, API disclosures, and regulatory filings under Indian transparency mandates.
How does the 7-day Right of Reply operate?
Named subjects receive an advance copy 7 business days prior to release. Corrections and updated documentation are verified, and company statements are published verbatim alongside the report.
Transparency, Legal Directives & Communications
The Compliance Ledger operates with complete structural independence, strict adherence to India's DPDPA 2023 data principal rights, hedged evidentiary standards, and open communication desks.
About Us
Our institutional mandate, structural independence from SutraCheck, and proactive gap analysis doctrine.
Contact Us
Pre-publication right of reply, statutory grievance officer, editorial feedback, and press inquiries.
Privacy Policy
Zero tracking cookies, data minimization, and Data Principal rights under the Digital Personal Data Protection Act.
Terms & Conditions
Our hedged evidentiary standards, citation licensing, disclaimer of legal advice, and jurisdiction rules.
Turn proactive transparency into a competitive advantage.
Does your company operate automated decision-making in India? Request an opt-in Ledger evaluation. Demonstrate proof of transparency to regulators, enterprise partners, and end users.