SoluLab Company

AI regulatory change management for banks: a walkthrough of Kavach, which traces every RBI circular to a requirement, code change, verification evidence and board report. Full case study: https://www.solulab.com/case-study/ai-powered-regulatory-change-management-platform-for-banking-compliance/ Banks receive a steady stream of RBI circulars, and every one has to be interpreted, implemented, tested and proven. The link between a regulatory paragraph and the system change that satisfies it usually lives in emails, spreadsheets and tickets. Kavach, built by SoluLab, keeps one connected, auditable record instead, with a named human decision at every gate. What you will see in this walkthrough: - How incoming circulars are triaged by domain, impact and owner - How the reasoning engine drafts applicability decisions and testable requirements, and how named reviewers approve each version - How a knowledge graph links every requirement to its controls, procedures, systems and code - How verification runs are tied to a specific build, so a passing test cannot prove the wrong version - How retrospective assessment finds customer accounts affected by a wrong implementation - How Inspection Mode answers "why was this release approved?" from case records Chapters 0:00 Introduction: Kavach, a retail banking copilot 0:42 01 The Banker Workbench 1:18 02 Payments and Disputes: double debit investigation 3:28 03 Card Protection: unrecognised card payment 4:04 04 Customer Onboarding: identity and address mismatch 5:54 05 Lending Copilot: income check and affordability exception 7:29 06 Customer Support: hardship review after job loss 8:43 07 Service Operations: address change and card replacement 9:47 08 Supervisor Evidence: audit trail and operations view 10:24 Closing summary Why AI plus a knowledge graph: AI drafts, people approve. Kavach never approves a requirement or a release on its own, and every approval is recorded in an immutable activity log. Built with: LLM reasoning with retrieval-augmented generation, a knowledge graph, workflow orchestration, React, REST APIs, PostgreSQL and Docker, with Git and CI integration. It can be deployed in the bank's own cloud or on-premises, so regulated data stays in the bank. Who it is for: compliance, risk, engineering, QA, operations and board teams at banks and financial institutions. #RegTech #BankingCompliance #AIinBanking