Tech, ExplainedFintech
Product

Regulatory reporting

The reports supervisors demand, often daily.

BEFORE ITAFTER ITRegulatory reportingRegnologyCOVERSCapitalLiquidityRegulator formatsDaily filingsCore banking system↗ DIGITAL BANKINGsends dailybalancesInsurance core system↗ INSURTECHsendspremiumsand claimsData reconciliationsends checkedfiguresrecordseach filingGRC platform↗ GOVERNANCE, RISKAND COMPLIANCECONCEPTS IT USESHuman in the loopBEFORE ITAFTER ITRegulatory reportingRegnologyCOVERSCapitalLiquidityRegulatorformatsDaily filingsCorebanking system↗ DIGITAL BANKINGsends dailybalancesInsurancecore system↗ INSURTECHsendspremiumsand claimsDatareconciliationsends checkedfiguresrecordseach filingGRC platform↗ GOVERNANCE, RISKAND COMPLIANCECONCEPTS IT USESHuman in the loopBEFORE ITCore banking system↗ DIGITAL BANKING↓ sends daily balancesInsurance core system↗ INSURTECH↓ sends premiums and claimsData reconciliation↓ sends checked figuresRegulatory reportingRegnologyCapitalLiquidityRegulator formatsDaily filingsAFTER IT↓ records each filingGRC platform↗ GOVERNANCE, RISK AND COMPLIANCECONCEPTS IT USESHuman in the loop
Regulatory reporting receives daily figures from core banking, the insurance core and data reconciliation, and records each filing in the GRC platform.
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Regulatory reporting is software that turns a bank's or an insurer's records into the reports that its regulators require, in the regulators' own formats. In India, banks report to the RBI and insurers report to IRDAI. Some reports are sent every day, others every fortnight, quarter or year.

The reports answer questions that supervisors ask about every bank. How much capital does the bank have, compared with the risk it is taking? This is called capital adequacy. How much cash could it raise quickly if many customers withdrew money at once? This is called liquidity. How many of its loans are not being repaid? How much has it lent to one company or one group?

Here is why software is needed. A large bank has millions of accounts and loans across many systems. Each report needs figures from many of them, calculated exactly as the regulator's rules say. The rules change often. So the software collects the data, applies the regulator's rules, and produces the report in the required format.

Consider one day's figures at a mid-sized bank. The core banking system sends the balances of every account and loan. The treasury system sends the bank's investments. Data reconciliation has already checked that these figures match each other. The reporting software then calculates the bank's liquidity for the day and checks it against the limits. At the end of each month, it sends the liquidity report to the RBI. If a number crosses a limit, it alerts the team before the report goes out.

Insurers use the same kind of software with their insurance core system, to report their premiums, claims and reserves.

The same software often also prepares reports on crime, which go to a different authority. When AML transaction monitoring confirms a suspicious transaction, the bank must report it to the Financial Intelligence Unit, India (FIU-IND), on FIU-IND's online portal, FINGate.

Now AI is changing this work. A model can read a new regulation and turn it into draft rules for the report. An employee in the compliance team checks and approves them. This is human in the loop. Each filing and any breach is also recorded in the bank's GRC platform.

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