The AI-first Loan Origination System
built for the way LSPs actually operate.
Orchestrator-first. AI architected from Day 1 across BRE, KYC, document understanding, and contactability. Native co-lending. Configurable for every loan type. Releasing June 2026.
- June 2026 Platform release
- AI-native BRE · KYC · Documents · Contactability
- Multi-BRE Native co-lending allocation & switching
Off-the-shelf LOS isn't built for the LSP business model.
The category was built when NBFCs were the system of record. LSP partner taxonomy, system-boundary handoffs, native co-lending, and AI-grade workflows are bolted on top — if they exist at all.
Built for NBFCs, not for LSPs.
LSP capability is grafted on top — partner taxonomy, boundary handoffs, exposure cross-checks. None of that lives in the data model.
Every config change is a vendor ticket.
Weeks of TAT, billable hours, your credit team blocked behind a queue while the market moves.
AI ships in v3, as paid add-ons.
By the time it lands, your ops team has built shadow processes that don't trust it.
Co-lending is a switch, not a system.
Real co-lending needs lender-specific BRE, automated switching, and exposure cross-checks. Most platforms ship one of three.
Origination on Lokta. Servicing on the lender's LMS.
The boundary is the moment the lender generates the Loan Account Number on disbursement. Records before live in Lokta. Records after live in the lender's LMS. Enforced by the data model — not a side document.
Lokta Originate
- Lead capture + quick data entry
- KYC + soft bureau pull
- Field investigation / TVR
- Soft BRE → in-principle approval
- Lender selection
- External dedupe → sanction
- e-Sign + mandate registration
- Operations verification
Lender's LMS
- Disbursement (LAN issued)
- EMI schedule generation
- Repayment processing
- Collections + recovery
- Asset tracking
DATA-MODEL ENFORCED API push at sanction — letter, KFS, customer data, BRE report, supporting documents. eNACH / UPI AutoPay mandate registered. Lender generates the Loan Account Number on disbursement.
Four places where AI is the architecture.
Not a feature.
Most LOS platforms add AI in v3, after launch, as paid add-ons that your operations team ends up routing around. We chose four places where AI is the most expensive thing to retrofit — and built them into the platform from the start.
BRE the credit team authors
Drag-drop rule builder for credit policy, KYC, dedupe, mandate, pricing. Multiple BREs run in parallel with versioning, rollback, and a visual diff between rule versions.
- Multi-BRE — allocation, switching, exposure cross-checks
- Full version history with canvas-overlay diff
- Maker-checker on every rule, audit on every change
KYC + identity, AI-native
Aadhaar / PAN / CKYC / DigiLocker as happy path. AI-OCR fallback for handwritten and vernacular documents. Tampering detection built into the asset DD pipeline.
- Multi-language OCR with vernacular conversion
- Document quality + fraud checks at upload
- Aadhaar face auth with bad-lighting detection
Document understanding, end to end
Bank statements parsed across non-standard formats. AA framework for consented pulls; AI-OCR fallback when AA fails (real-world failure rates run 30–40%). Income consolidation across proofs.
- Multi-aggregator AA with primary/secondary fallback
- AI bank-statement format standardisation
- Cross-document address matching against bureau
Contactability before FI/TVR spend
Pre-KYC reachability score (0–10) from telecom signals — operator, plan, SIM age, network reach, WhatsApp. The BRE uses it to gate FI/TVR spend and route intimations.
- Silent telecom check at OTP — no friction
- BRE-driven gating saves 30–60% of vendor spend
- Graceful fallback to "no signal" with retry
Co-lending is a system. Not a switch.
Real co-lending needs lender-specific BRE rules, automated switching when a primary lender rejects, and exposure cross-checks across the partner network. Most platforms ship one of those. Lokta Originate ships all four.
Lender-specific BRE rules
Each NBFC partner gets its own product types, eligibility, ROI, fees, KYC requirements. Configurable from the front-end — not lender-specific deployments.
Allocation + switching by policy
Co-lending BRE allocates by customer profile, amount, risk score, and lender quota. If the primary rejects, the system fails over to alternates — up to two controlled switches.
Exposure cross-checks
Overlap, regulatory exposure, and partner-level limit checks run during switching. A borrower never stacks across two of your partner NBFCs without you seeing it.
Per-partner workflows
Each lender invokes its own decisioning workflow at routing time — natively, not as a forked codebase per lender.
Every loan type. One configurable platform.
Personal, home, gold, vehicle, SME — every product assembles from configuration, not from a fork of the codebase per asset class. The product type, the borrower segment, the workflow, and the lifecycle features all live in the data model.
Configurable product master
Personal, home, gold, vehicle, SME — every loan type assembles from configuration. Product type × asset class × tenure × interest method × charges × repayment frequency × allocation strategy, all set per product without code.
Per-product workflows
Each product gets its own journey — KYC document set, scoring inputs, approval matrix, pricing rules. Switch from a personal loan to a home loan and the workflow recomposes from the master config, not from a hardcoded path.
Asset & collateral handling
Valuation, custody, hypothecation, lien creation, legal opinion — modelled per asset class. Property database for home, gold valuation for gold, RC / Vahan API for vehicle. New asset types plug into the same 3rd-party API layer.
Borrower segments — built in
Individual, proprietorship, partnership, LLP, private limited, HUF. Each segment gets its own KYC document set, business proof checks, and underwriting flow — without forking the codebase per segment.
Income verification, multi-modal
Salary slips, bank statements (AA framework + AI-OCR fallback), ITR, GST returns, business cash flows. Multi-bureau pulls. Income consolidation across multiple proofs, with reconciliation when documents disagree.
Lifecycle features per product
Top-up, balance transfer, restructure, moratorium, partial prepayment, foreclosure — configurable per product type. Lease structures and lease-cum-loan hybrids supported, with Ind AS 116 / IFRS 16 accounting classification.
Drag-drop. Versioned. No vendor change request.
From P3 onward, your credit / product / ops teams own the configuration surface. BRE rules, master data, workflow stages, approvals, deviation limits, pricing — all self-serve, all under maker-checker.
Drag-drop BRE rule builder
Credit policy teams compose rules visually — credit, KYC, dedupe, mandate, pricing. No code, no developer ticket, no LOS-vendor change request. Version history, rollback, diff visualisation between versions.
Master config UIs
Demographics master (states, professions, income segments), product master (loan type × asset class × tenure), scheme master (interest rate × fee structure × pin-code mapping). All editable from the front-end with bulk upload.
Workflow drag-drop
Move modules in a journey, add data input fields, change branching rules — without disrupting BRE rules and without a vendor change request. Workflow per product type, per customer segment, per application type.
Approval & deviation matrix
Configurable multi-level approval flows by loan product, amount, risk category, branch, and user role. Deviation triggers, escalation SLAs, role-based deviation limits. Admin access for the matrix sits with your team, not the LOS vendor.
Pricing engine, end-to-end
Pre-lender pricing runs on Soft BRE inside Lokta Originate; post-lender pricing runs Hard BRE on the lender system. Risk-based bands per partner policy. Deviation pricing flows through the approval matrix.
Intimation templates
SMS, email, WhatsApp templates — versioned, role-targeted, event-triggered. Templates the AI can reference but never paraphrase, so compliance language stays verbatim.
RBI-grade. Audit-ready. Breakage-aware.
Every loan-origination journey breaks somewhere. The platform is engineered around the breakages, not around the happy path.
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101 breakages, handled by design
Every origination journey breaks somewhere. We've enumerated 101 specific modes across 13 stages — from OTP delivery to chassis-tampering — with a mitigation baked in for each.
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WORM-compliant audit trail
Write-once-read-many on audit logs. Every action — creation, modification, deletion, approval, rejection, role change — captured with user ID, timestamp, source, IP, device. Cross-module structured audit.
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Real-time rule reconciliation
A continuous monitor validates every API, BRE, and workflow rule against a golden-benchmark registry. Catches silently failing steps before they impact live applications.
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RBI DLG 2025 + DPDP compliant
Configurable per-NBFC data-purge windows post-handoff. Work-in-progress auto-purge after 30 days. Field-level PII encryption. Aadhaar / PAN masked across screens, logs, storage.
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Certifications targeted
ISO/IEC 27001 (ISMS), SOC 2 Type II, PCI DSS, ISO 9001. VAPT semi-annually with no High-severity issues open. Aligned with RBI Master Direction on IT Governance.
Same problem. Different architecture.
We aren't naming vendors — this is positioning, not procurement. The dimensions are the ones LSP buyers raise first.
| Dimension | Off-the-shelf LOS | Lokta Originate |
|---|---|---|
| Built for LSP business model | No — built for NBFCs as system-of-record; LSP capability is an add-on | Yes — orchestrator-first; Lokta owns origination through sanction and mandate, the lender's LMS owns disbursement and servicing |
| Time to first end-to-end loan | 6–12 months of customisation, integration, vendor onboarding | 75 days, kickoff to first production loan with a co-design partner |
| Co-lending workflow | Generic; manual configuration; switching often custom dev | Native multi-lender BRE — allocation, switching (max 2 switches), exposure cross-checks |
| AI capabilities | Bolted on as point features post-launch | Architected into BRE, KYC, document understanding, and contactability from Day 1 |
| Configuration ownership | Vendor change request — weeks of TAT, billable hours | Drag-drop BRE, master config UIs — your credit / product / ops teams self-serve |
| Product breadth | Per-asset bolt-ons or vendor change requests for new loan types | Personal, home, gold, vehicle, SME — every product assembles from one configurable product master |
| Total cost over 12 months | Licence + customisation + ops + change requests + integration partner fees | Single-price delivery + monthly releases; you own config from production phase |
Off-the-shelf LOS is the right fit when you operate as the system-of-record and your partner taxonomy is shallow. Lokta Originate is built for LSPs whose next-decade question is — can the platform run multiple partners, switch on policy, ship every loan type from configuration, and roll out new BRE rules without filing a vendor ticket?
Three operators. One stack.
Run multiple lender partners on one stack.
Each partner gets its own product types, BRE rules, KYC, and workflow — without forking your codebase. Origination on you, servicing on them, boundary enforced by the data model.
Aspire to LSP without a 12-month rewrite.
Digitally enabled NBFCs moving toward partner lending get an orchestrator-first stack — without abandoning the on-balance-sheet model where it still makes sense.
Personal, home, gold, vehicle, SME — one platform.
Every product assembles from configuration: KYC, scoring, approvals, asset handling, lifecycle. Add a new line — or a new asset class — without forking the codebase or filing a change request.
Questions buyers ask first.
Release timing, differentiation, integrations, AI position, and configuration ownership.
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When does Lokta Originate release?
June 2026 for the platform. Self-serve drag-drop BRE, master config UIs, full workflow editor, and co-lending allocation + switching land in subsequent monthly releases. The release calendar is fixed and BRD-aligned, so co-design partners can plan against it.
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How is this different from off-the-shelf LOS?
Three things in one platform: (1) Built for the LSP business model — Lokta owns origination through sanction, e-Sign, and mandate registration; the lender's LMS owns disbursement and servicing. The handoff happens when the lender generates the Loan Account Number, and the boundary is enforced in the data model. (2) AI architected from Day 1 across BRE, KYC, document understanding, and contactability — not point features in v3. (3) Drag-drop config so your credit / product / ops teams self-serve, not vendor change requests with weeks of TAT.
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How does co-lending actually work?
A configurable co-lending BRE allocates each application to lender partners by customer profile, loan amount, risk score, and lender quota. If the primary lender rejects at external dedupe or credit underwriting, the system fails over to alternates — up to two controlled switches. Exposure cross-checks run during switching, so the same borrower can't stack across two partners without you seeing it.
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What integrations ship out of the box?
Out-of-box integrations cover what every loan type needs: KYC (Aadhaar, PAN, CKYC, DigiLocker), bureau (CIBIL, Experian), bank statements (AA framework + Perfios fallback with AI-OCR), e-Sign (Leegality, Digio), mandate (eNACH, UPI AutoPay), and telecom reachability (Digitap). Asset-class-specific integrations — vehicle RC / Vahan, property database, gold valuation, insurance providers — plug into the same 3rd-party API layer, configurable without code changes. Add or disable integrations from the front-end, not by filing a change request.
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What's the AI position — really?
AI runs in four places by design: (1) BRE, where the rule canvas itself is configurable and version-controlled. (2) KYC and document handling, where AI-OCR handles handwritten, vernacular, and non-standard documents, and tampering detection runs at upload. (3) Bank statement / income parsing, where AI standardises non-standard formats and consolidates across multiple proofs. (4) Contactability, where a pre-KYC reachability score gates FI/TVR spend. AI never overrides a deterministic check — it pre-processes inputs and surfaces flags for human review where confidence is low.
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Who owns configuration after go-live?
You do. From P3 (August 2026) onward, your credit / product / ops teams self-serve BRE rules, master config (demographics / product / scheme), workflow stages, approval matrix, and intimation templates. Maker-checker is enforced at the rule-set level so config changes ship under governance, not as vendor tickets.