RBI Model Risk Management

RBI model-risk readiness for every lending decision system

If you came for the framework rather than the product, start with the explainer and self-benchmark: RBI model risk management framework for NBFCs.

An evidence-ready control plane for the models, BRE rules, scorecards, AI use cases, third-party dependencies, and co-lending workflows behind your lending decisions, so when the board or the regulator asks, the answer and the evidence are already in one place.

Built by the team behind Apache Fineract · Append-only evidence ledger · Four-eyes governance · Human-authoritative by design

Lokta RBI Model Risk Management: board-readiness, the command bar, and a 'needs your decision' inbox.
Why now

The expectations just widened. The evidence work didn't get easier.

RBI's June 2026 draft Guidance on Model Risk Management, with the FREE-AI framework, widens what lenders must govern: a board-approved framework, a complete model inventory, risk tiering, independent validation, AI/ML controls, and accountability for third-party and co-lending models. The hard part was never the policy; it is proving, on demand, what exists, who owns it, what's validated, and what's ready for the board.

Most lenders can answer only by stitching spreadsheets together the week before a Risk Committee. Lokta replaces the stitching with a system of record.

For a clause-by-clause read of what the June 2026 draft actually asks for, see our breakdown of the RBI model risk management guidance. The same reading applied to a second draft, on the proposed revolving-credit restriction for NBFCs, covers what a term-loans-only rule would change about how a book is designed, booked and serviced.

What Lokta does

One control plane, from scattered evidence to a board-ready pack

  1. 01

    Inventory every decisioning asset

    Models, rules, scorecards, AI use cases, vendor APIs, and co-lending, one catalogue.

  2. 02

    Score your readiness

    Against the draft, dimension by dimension, with the gaps ranked.

  3. 03

    Track and close evidence gaps

    A live queue of what's missing, who owns it, and what “ready” means.

  4. 04

    Govern the record

    Approvals, exceptions, and changes with four-eyes sign-off and an immutable trail.

  5. 05

    Generate the board pack

    A Risk-Committee-ready evidence pack in minutes.

Inside the control plane

See where your model-risk evidence actually stands

From one inventory to a board-ready pack: built so the evidence is examination-ready, and a human stays the authority on every assertion.

Inventory

One inventory of every decisioning asset

Models, BRE rules, scorecards, pricing calculators, AI use cases, bureau and vendor APIs, and co-lending dependencies: each with an owner, a risk tier, an evidence score, and a status. The whole decisioning surface in one catalogue, not a dozen spreadsheets.

Lokta RBI MRM inventory: decisioning assets listed with owner, risk tier, evidence score, and status.
Readiness

Readiness scored against the draft, worst gaps first

A live board-readiness score across the twelve RBI model-risk themes, each one ranked, with the agent summarising which gaps to close first to lift the number before the Risk Committee meets.

RBI readiness dashboard showing 64% board-readiness with themes ranked worst-first.
The agent

The agent proposes. A human decides

Ask about your estate and get an answer with citations to the exact record behind every claim. The agent drafts and surfaces; it never approves evidence or activates a control. Nothing moves without a person.

Lokta model-risk agent answering a question with section citations and a human-approval disclaimer.
Board pack

A board-ready pack, assembled from current evidence

Eleven sections (executive summary, readiness heatmap, high-risk assets, validation status, exceptions, third-party exposure), all drafted from what is on record, with citations throughout. The agent never finalises; you review and snapshot it.

Board pack with 86 citations across 11 sections, drafted by the board-pack agent.
Provenance

Every claim traces back to a record

Open Sources on any pack and each line links to the evidence behind it: the validation, the approval, the gap finding, the snapshot. Read-only references, so the pack holds up to the question no one prepared for.

Board-pack Sources panel: every claim traces to a source record you can jump to.
Governance

Four eyes on every action, and two separate steps

The agent's toolbox is read and create-draft only. Every action is logged as Proposed, then Accepted or Rejected by a named reviewer under two-person sign-off. Accepting a draft and activating a control stay gated separately, each requiring its own sign-off.

Agent activity log: proposed, accepted, and rejected actions with named reviewers and statuses.
The full decisioning surface

Built for how RBI defines "model": the whole decisioning surface

The draft's definition is deliberately broad: AI/ML, algorithms, decision rules, calculators, even the spreadsheets that materially shape a lending decision, plus the vendor and co-lending models you are now accountable for.

Most governance tools were built to watch AI models. Lokta was built for lending decisioning: deterministic BRE rules, scorecards, pricing logic, and third-party dependencies sit in the same catalogue as your AI use cases, governed the same way, because that is the surface a supervisor will examine.

Mapped to the draft

Line-mapped to the June 2026 MRM draft

Every readiness dimension and gap in the self-benchmark traces back to a specific expectation in RBI's June 2026 draft. No generic global checklist retrofitted to India: purpose-built for the RBI examination your board is preparing for.

RBI draft expectationWhat we map it toDraft paras
A complete, up-to-date model inventoryEvery decisioning asset in one catalogue13(3), 21-24
Independent validation on recordA validation register, dates, scope, findings29-33, 46(i)
Accountability for third-party & co-lending modelsA dependency ledger, audit rights, continuity, exit45-48, 51, 53

See the full question-to-paragraph map & methodology

Built right

Governance you can trust, because it's governed itself

Append-only evidence ledger

Every action is preserved with who, what, when, and source. Records cannot be quietly altered or deleted.

Four-eyes on every assertion

Validation, approval, exception, tier confirmation, and decommission all route through two-person sign-off.

Human-authoritative by design

Assistive agents propose and surface. They never approve, alter evidence, or activate a control without a person. Every agent action is logged.

You stay the authority

Lokta is your evidence system of record. Your validators, auditors, and board remain the decision-makers: we organise and ready the evidence, and they render judgment on the models.

Built for

The people accountable when the regulator asks

  • CROs
  • Heads of Compliance
  • Model-risk & credit-policy teams
  • Data science leaders
  • Internal audit
  • CTOs
  • Founders of fintech lenders

Designed for Middle Layer NBFCs, co-lending partners, and fintech lenders who carry the same accountability as a large bank, without a large bank's model-risk department.

How it works

Up and running on uploads, not a six-month integration

  1. 01

    Upload

    Your assets and existing records, with guided templates.

  2. 02

    See your readiness

    On a live dashboard, scored against the draft.

  3. 03

    Close the gaps

    From a prioritised queue, with owners and "ready" criteria.

  4. 04

    Generate your board pack

    Evidence-ready, in minutes.

Find out where your model-risk evidence stands today.

Take the RBI MRM draft self-benchmark. 10 questions, anchored to the June 2026 draft. Get your readiness score instantly. No email needed to see where you stand.

Take the self-benchmark →
Product evaluation

Evaluate your model-risk evidence workflow with Lokta

RBI Model Risk Management is available now. Share your institution type and role, and we will arrange a product evaluation and readiness walkthrough.

Prefer a general conversation? Talk to us

We'll only use this to arrange the evaluation and readiness walkthrough. No spam.

FAQ

Questions a risk officer asks

The sharp ones: compliance, independence, third-party scope, integration, and the draft itself.

  • Does Lokta make us "RBI compliant"?

    No tool can. Lokta helps you build and maintain the evidence and readiness a lender needs to demonstrate its model-risk governance: the inventory, the validations on record, the approvals, the gaps, and the board pack. Compliance is your board's determination; we make it provable.

  • You also build lending technology. Can you be our governance system?

    Lokta RBI MRM is your own system of record: it organises and evidences the controls you run. Your validators, auditors, and board remain the independent authority over your models. We do not validate or certify models; we make the evidence examination-ready. Where required, your data stays walled from any other Lokta product.

  • We use third-party and co-lending models. Are those covered?

    Yes. That is a core reason Lokta exists. Vendor, bureau, and co-lending dependencies sit in the same catalogue as your own assets, with ownership and oversight evidence tracked against the draft's expectation that accountability is not outsourced.

  • Do we need to integrate our systems first?

    No. Start with guided uploads and get a readiness dashboard and board pack from day one. Deeper source-system evidence APIs are available when you are ready.

  • Is the June 2026 guidance final?

    It is a draft, out for public consultation. Lokta is built around evidence and board-readiness that serve your Risk Committee today, and we track the guidance as it finalises so your mapping stays current.

Founder-led adoption

Adopt the agentic loan servicing platform.

Lokta is built for enterprise deployment, VPC or single-tenant cloud, with an audit trail in every state change. We work with a select group of institutions through a founder-led model: deep adoption, deliberate scope, a delivery window the team commits to in writing.

Talk to us

Evaluate your model-risk evidence workflow with the Lokta team.