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This is a working template, not a completed return. Every example row is synthetic and labelled. Replace it with your own records before putting anything in front of a committee. Use your browser's Print → Save as PDF to keep a copy.

RBI MRM draft · evidence-pack template

Illustrative — populate with your own data

Board-ready model-risk evidence pack

A working scaffold for the evidence a regulated lender is expected to keep against RBI's June 2026 draft Guidance on Regulatory Principles for Model Risk Management. Seven templates, each line-mapped to the draft.

Lokta does not validate, certify, or independently assess models. This template organises evidence; it does not produce a regulatory grade. Your model validators, internal audit, and board remain the authority. The June 2026 guidance is a draft out for consultation and may change before it is final.

How to use this pack

  1. Replace every synthetic row with your own assets and records.
  2. Work top to bottom — the inventory feeds tiering, which drives validation and reporting.
  3. Score only what you can evidence today. A policy intention is not evidence.
  4. Keep it live: re-tier at least annually, revalidate on material change, refresh the board summary each cycle.

1 Model & decisioning-asset inventory

Draft paras 6, 7(3), 10, 13(3), 21-24

One catalogue of everything that materially shapes a lending decision — models, BRE rules, scorecards, calculators, spreadsheets, AI use cases, prompts, APIs, vendor tools, and co-lending flows. No asset is used unless it is in inventory.

Synthetic example — replace with your own records
Asset IDNameTypeIntended useOwnerRisk tierStatusLast validated
MDL-014Unsecured PL scorecardML modelApprove / declineHead of Credit RiskHighActive2026-02
BRE-007Income-eligibility rulesetDecision rulesEligibility gateCredit PolicyMediumActive2026-01
VND-003Bureau score (co-lending)Third-partyRisk segmentationPartnershipsHighActiveVendor-attested

Also record per asset: developer / provider, validator, approver, upstream & downstream dependencies, and the latest validation, monitoring, and audit observations.

2 Risk-based tiering

Draft paras 17-20, 52

Tier every asset by materiality, complexity, consumer impact, explainability, and third-party reliance — and for AI, by autonomy in the decision. The tier drives validation priority, approval authority, monitoring frequency, documentation depth, and continuity planning.

Illustrative tiering scheme — adapt the thresholds to your book
TierDefinitionValidation cadenceApproval authorityMonitoring
HighMaterial consumer or capital impact; low explainability or high autonomyPre-deployment + annual + on triggerRisk Management CommitteeMonthly
MediumModerate impact; bounded autonomyPre-deployment + on material changeModel Risk / CRO delegateQuarterly
LowLimited impact; deterministic and explainableAt deployment + periodic reviewModel owner + validatorSemi-annual

3 Ownership & accountability

Draft paras 8-15, 22

Separate the roles. The regulated entity stays accountable for outcomes; owner, validator, and approver must not be the same person for material assets, with three-lines-of-defence coverage.

Synthetic example — name the real accountable individuals
AssetModel ownerDeveloper / providerIndependent validatorApproverSenior sponsor
MDL-014Head of Credit RiskIn-house DS teamModel Risk (2nd line)Risk Mgmt CommitteeCRO
VND-003Partnerships leadBureau vendorModel Risk (2nd line)CRO delegateCRO

4 Validation register

Draft paras 29-33, 46(i); approvals & exceptions 12(1), 18(ii), 34-35

Independent validation before deployment, after deployment, on material change or trigger, and periodically — including for third-party models. Record approvals and any exception approvals with rationale, conditions, and remediation dates.

Synthetic example — one row per validation event
AssetTypeDateNext dueScope & findingsStatusCommittee ref
MDL-014Periodic2026-022027-02Discrimination stable; PSI within thresholdApprovedRMC-2026-02
BRE-007Material change2026-01On changeNew income band; one exception, 90-day remediationExceptionRMC-2026-01

5 Third-party & co-lending dependency ledger

Draft paras 45-48, 51, 53

Accountability is not outsourced. Map every vendor, bureau, LSP, AI provider, API, and co-lending dependency that influences a decision, with due diligence, audit rights, continuity, and exit terms on record.

Synthetic example — replace with your provider contracts
ProviderDependencyDecision impactAudit rightsContinuity / exitLast review
Bureau XScore + attributesHighContractualBCP + 90-day exit2026-03
Co-lender YShared underwriting modelHighJoint audit clauseRun-off agreed2026-02

6 AI/ML controls & human oversight

Draft paras 25, 49-63

For AI/ML and automated decisions, evidence scope, explainability thresholds, bias/fairness/drift controls, challenge or red-team testing, deployment safeguards, human-in-command, overrides, and a suspension or kill-switch path.

Synthetic example — one row per AI use case
Use caseAutonomyExplainabilityBias / drift controlHuman-in-commandOverride / kill-switch
PL scorecardAssistiveReason codes per decisionQuarterly fairness + PSIAdjudicator on edge casesRevert to ruleset
Collections prioritiserAssistiveFeature attributionsMonthly drift watchOps review queueManual queue fallback

7 Board / Risk Committee summary

Draft paras 11-14, 33, 37, 46(ii)

The one-page docket a Risk Committee can act on. Pull each line from the templates above so the summary is always reconcilable to the evidence.

  • Readiness heatmapDimension-by-dimension status, with the gaps ranked.
  • High-risk docketEvery high-tier asset, its owner, and validation status.
  • Validations dueWhat is overdue, due this quarter, and recently cleared.
  • Open exceptionsRationale, conditions, remediation owner, and expiry.
  • Third-party & AI exposureMaterial dependencies and their oversight evidence.
  • Material changes & incidentsWhat changed, what broke, what was learned.
  • Open gapsKnown evidence gaps with owners and target dates.
  • Decisions requestedThe specific approvals the committee is being asked for.