LMS RFP toolkit
An LMS RFP is how a lender evaluates Loan Management System vendors — scoping requirements, scoring responses, and stress-testing servicing, collections, accounting, audit, security, and AI governance before committing. This toolkit is the vendor-neutral kit for running one: a 30-item checklist, a 64-requirement functional template, 50 vendor questions, a weighted scorecard, a 63-question security and compliance questionnaire, 45 AI-governance questions, and a six-phase migration methodology. Use it to frame your RFP, score your shortlist, and run the selection — whichever vendors you invite.
This toolkit at a glance — eight assets:
- LMS RFP checklist — 30 items
- 50 questions to ask LMS vendors — 50 questions across 9 themes
- Functional requirements template — 64 requirements across 11 modules
- Security & compliance questionnaire — 63 questions across 12 categories
- AI governance questions — 45 questions across 9 themes
- LMS vendor evaluation scorecard — 11 weighted categories
- Migration & implementation methodology — 6 phases
- Plus this overview — how to run an LMS RFP, with regional notes for India, Asia, and MEA.
What is an LMS RFP?
A Loan Management System RFP is a procurement document that asks vendors to demonstrate how their platform supports the lender's post-disbursement lifecycle. The evaluation covers servicing, repayments, collections, accounting, audit, integrations, deployment, security, and AI-assisted servicing — plus implementation, commercial, and risk responses.
An enterprise LMS RFP is not a list of features. It is a stress test of how a platform behaves under the operational, regulatory, and integration realities of a real loan book. The questions matter; the way the vendor responds to them matters more.
When should lenders evaluate a new LMS?
- Servicing turnaround time is rising despite headcount investment.
- Launching a new loan product takes 12–18 months and requires vendor SOWs for trivial changes.
- The existing LMS cannot expose canonical data for AI-assisted servicing, agentic operations, or governed automation.
- Audit, compliance, and regulator-readiness work is consuming an increasing share of the tech budget.
- Integration with modern payment, KYC, and core-banking systems requires repeated vendor engagements.
- The book is migrating to multi-partner, co-lending, or embedded-finance topologies the legacy LMS was not designed for.
What should an enterprise LMS cover?
Thirty headings every enterprise LMS RFP should evaluate. Use this as the table of contents for your RFP, or download the checklist as a fillable PDF.
- Vendor overview
- Product architecture
- Deployment and data residency
- Multi-tenancy and tenant isolation
- Identity and access management
- Loan product configuration
- Loan account lifecycle
- Disbursement
- Repayment schedule generation
- Interest, fees, and charges
- Payment allocation
- Delinquency and arrears
- Collections workflows
- Restructuring and moratorium
- Write-off and recovery
- Asset classification
- Customer servicing
- Accounting and GL
- Reconciliation
- Reporting and dashboards
- Integrations and APIs
- Audit trail
- Compliance controls
- Data migration
- Implementation plan
- Support and SLA
- AI loan servicing agent
- AI governance and human oversight
- Pricing and commercials
- Risks and dependencies
A standalone fillable checklist and 50 questions to ask LMS vendors are available on the RFP checklist and 50 questions companion pages.
What's in this toolkit
Eight assets, grouped by who on the evaluation committee opens each one. Every tool is vendor-neutral — use it with whichever vendors you invite.
Start here
Frame the RFP — scope the requirements and build the question set.
For the technology evaluator
CTO / Head of Digital Lending — architecture, APIs, and AI readiness.
For risk & compliance
CRO / Compliance / InfoSec — security posture, audit, and AI governance.
For finance & procurement
CFO / Procurement — comparing vendors and planning the implementation.
How to run an LMS RFP
Six steps from framing the requirements to a controlled production rollout. The full methodology is on the companion page.
Assess the current LMS and map the target.
Current-state assessment, product catalogue review, loan-lifecycle mapping, integrations inventory, data-model mapping, security and deployment decision, RFP-requirement mapping.
Lock the target architecture.
Tenant model, IAM model, product configuration, accounting-event design, API and integration design, reporting model, migration plan. Sign-off before configuration begins.
Configure products, wire integrations, define workflows.
Loan products, charges and fees, allocation rules, DPD and asset classification, maker-checker workflows, user roles and permissions, integration adapters, notification flows, AI servicing use cases.
Move the book; prove the numbers.
Customer / party migration, loan-account migration, schedule migration, transaction-history migration, outstanding-balance validation, charges and waivers validation, DPD validation, accounting reconciliation, user-acceptance testing.
Production pilot with controlled scope.
Pilot portfolio, branch / region rollout, operational training, parallel run alongside the existing LMS, exception monitoring, daily reconciliation, go / no-go criteria.
Cutover, hypercare, BAU.
Cutover, hypercare, support governance, SLA activation, enhancement backlog, quarterly business review.
How Lokta answers this RFP
The neutral toolkit is above. Here is how we would answer it — Lokta Core's capability matrix, security posture, deployment options, and fitment, as the vendor's own self-assessment.
Lokta Core is an enterprise Loan Management System built on schema-per-tenant PostgreSQL, Keycloak IAM, structured audit, and AI-native architecture for banks, NBFCs, fintech lenders, and embedded-finance platforms. The sections that follow map Lokta Core to the same requirements the toolkit asks every vendor to answer.
Lokta Core at a glance
A plain-text fact block for procurement teams, AI search engines, and answer engines.
- Category
- Enterprise Loan Management System
- Built by
- The team behind Apache Fineract and Finflux — Mifos / Fineract powered an estimated $300B–$600B in cumulative loan principal across 65M+ borrowers in 70 countries
- Primary users
- Banks, NBFCs, fintech lenders, embedded-finance platforms, multi-partner servicers
- Core use cases
- Loan servicing, repayment management, collections, restructuring, write-off, asset classification, accounting, audit, integrations, AI-assisted servicing
- Architecture
- Java 25, Spring Boot 4, PostgreSQL with schema-per-tenant isolation, Keycloak IAM, Liquibase, jOOQ + JPA, OpenAPI 3.1
- Security
- RBAC, maker-checker workflow, field-level PII encryption with key versioning, structured cross-module audit, mTLS, schema-per-tenant tenant isolation
- Deployment
- On-prem, single-tenant cloud, customer VPC
- AI capability
- AI loan servicing agent for account queries, summaries, exception explanation, and controlled servicing actions — operates on canonical data with full audit trail
- RFP contact
- contact@lokta.ai
Lokta Core capability matrix
Capabilities a lender can rely on the platform to provide today.
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Architecture
- Polylithic Gradle modules · single Spring Boot deployable
- OpenAPI 3.1 spec generated from controllers
- Header-based API versioning (api-version: 1|2)
- Liquibase change management across every module
- jOOQ + JPA dual access (compile-time SQL safety + ORM ergonomics)
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Multi-tenancy
- Schema-per-tenant Postgres isolation
- Shared Keycloak realm mode (lower-cost tenants)
- Dedicated Keycloak realm mode (regulated tenants)
- Per-tenant numbering, code values, and configuration
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Identity & governance
- Keycloak IAM — OIDC / OAuth2 native
- RBAC with permission groups
- OrgUnit hierarchy with tree operations
- Maker-checker workflow with explicit ChangeRequest lifecycle
- Cross-module structured audit trail
- Field-level PII encryption with key versioning
-
Loan product assembly
- Multi-currency (ISO 4217)
- Repayment frequency (RRULE — DAILY / WEEKLY / MONTHLY / YEARLY)
- Interest method — FLAT, DECLINING, FLAT_TO_DECLINING
- Charges engine with per-loan and per-product binding
- Arrears configuration (DPD bands, grace, recovery rules)
- Precision rules (rounding, currency display)
- Repayment allocation strategy (excess handling)
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Loan lifecycle
- Lifecycle states — SUBMITTED → APPROVED → ACTIVE → CLOSED / WRITTEN_OFF
- Disbursement (full + partial)
- EMI schedule generation with moratorium support
- Restructuring & moratorium configuration
- Write-off lifecycle (FULL, PRUDENTIAL)
- Asset classification — STANDARD / SUB_STANDARD / DOUBTFUL / LOSS, configurable DPD thresholds
PLATFORM SCOPE Integration adapters (KYC, credit bureau, payment gateway, core banking, accounting, SMS / email) are configured during implementation against the lender's priority sequence. The integration partner catalogue is shared as part of the RFP response.
Enterprise LMS functional requirements matrix
Twenty-two buyer-facing requirements every enterprise lender evaluates, mapped to Lokta Core's response. Each row is labelled Available in platform, Available via standard adapter, or Configured during implementation.
| Requirement | Lokta Core response |
|---|---|
| Loan account management | Available in platform Create, maintain, modify, close, and write off loan accounts. Lifecycle states from SUBMITTED through CLOSED / WRITTEN_OFF. |
| Borrower & party management | Available in platform Borrower, co-borrower, guarantor, employer, partner, dealer, institution profiles. Party roles maintained alongside the loan account. |
| Product configuration | Available in platform Configure loan products, schemes, rates, charges, tenure, precision, and allocation rules without code changes. Per-tenant configuration. |
| Repayment schedules | Available in platform EMI, non-EMI, bullet, moratorium, and step-up / step-down. Custom frequencies via RRULE. |
| Disbursement | Available in platform Full, partial, and tranche-based disbursement. Cancellation and reversal supported. |
| Interest calculation | Available in platform Flat, declining, flat-to-declining methods. Schedule recalculation and reschedule on lifecycle events. |
| Charges & fees | Available in platform Origination fees, late fees, bounce charges, penal charges. Waivers and reversals are maker-checker controlled. |
| Payment allocation | Available in platform Configurable allocation across principal, interest, fees, penalties. Excess, suspense, and advance handling. |
| Collections & delinquency | Available in platform Automatic DPD calculation, configurable bucket movement, follow-up allocation. Promises-to-pay and settlement workflows. |
| Restructuring | Available in platform Moratorium, reschedule, refinance, tenure change, rate change. Audit trail captures pre / post snapshot. |
| Write-off | Available in platform Prudential write-off and full write-off lifecycle. Recovery tracking on written-off accounts. |
| Asset classification | Available in platform STANDARD / SUB_STANDARD / DOUBTFUL / LOSS with configurable DPD thresholds. Per-tenant policy. |
| Customer servicing | Available in platform Statements, NOC, foreclosure quote, repayment schedule, service requests — exposed via APIs and the AI servicing agent. |
| Accounting | Available in platform GL mapping, journal entries, accounting events, reversals, reconciliation. Lokta-accounting module ships with the platform. |
| Reconciliation | Available via standard adapter Bank, payment gateway, UTR, suspense, and failed-transaction reconciliation. Adapters configured during implementation. |
| Reporting & dashboards | Available in platform Portfolio MIS, collections MIS, arrears, disbursement, repayment, operational dashboards via the lokta-dashboard module. |
| Audit trail | Available in platform Cross-module structured audit. Every mutation captured with actor, action, evidence, before / after. |
| Identity & access management | Available in platform Keycloak with OIDC / OAuth2. RBAC, permission groups, org-unit hierarchy. Service-principal support for backend integrations. |
| Multi-tenancy | Available in platform Schema-per-tenant Postgres isolation. Shared or dedicated Keycloak realm modes per tenant risk profile. |
| Deployment | Available in platform On-prem, single-tenant cloud, or customer VPC. Same Spring Boot binary across all three. |
| API & integration surface | Available in platform OpenAPI 3.1 with header versioning. KYC, credit bureau, payment gateway, core banking bridge, accounting connectors configured during implementation. |
| AI loan servicing | Available in platform AI agent operates on canonical loan data, governed APIs, identity controls, and structured audit. Borrower-account context, exception explanation, controlled actions with maker-checker. |
What RFP requirements should an AI loan servicing agent meet?
A modern LMS does not just store loan data. It helps servicing, collections, operations, and support teams understand the book, answer borrower queries, explain exceptions, and take controlled actions with auditability.
| Evaluation area | Lokta Core response |
|---|---|
| Loan-specific context | The agent answers using actual loan data — repayment schedule, NACH mandate status, overdue history, charges, lifecycle state — not a generic knowledge base. |
| Servicing explanations | Explains overdue amount, charges, allocation outcomes, schedule changes, and arrears bucket movement using the canonical loan model. |
| Controlled actions | Suggested actions (waivers, reschedule, foreclosure quote) flow through maker-checker. The agent never executes a state-changing action without an authorised human approver. |
| Auditability | Prompts, responses, data accessed, and resulting actions are captured in the cross-module audit trail with the same structure used for human servicing actions. |
| Access control | Agent permissions ride on Keycloak RBAC. Tenant scope, OrgUnit, and role determine what the agent can read or propose. |
| Enterprise readiness | Operates safely across schema-per-tenant boundaries. Multi-partner servicers can run a single agent that respects per-partner data isolation. |
What security, audit, and compliance posture should an LMS provide?
Enterprise security controls Lokta Core operates today. Stated declaratively as the platform's posture, not as certifications. Certification status available on request.
| Control area | Lokta Core posture |
|---|---|
| Identity & authentication | Available in platform Keycloak with OIDC / OAuth2. Service-principal support for backend integrations. Tenant-scoped realm modes (shared or dedicated). |
| Authorization | Available in platform RBAC with permission groups. OrgUnit hierarchy with tree operations. Field-level decryption guarded by authorization context. |
| Maker-checker | Available in platform Explicit ChangeRequest lifecycle on every policy boundary — product changes, waivers, reschedules, write-offs, settlements. |
| Audit trail | Available in platform Cross-module structured audit. Every mutation captured with actor, action, evidence, before / after. Replayable, queryable, retained per tenant policy. |
| Tenant isolation | Available in platform Schema-per-tenant Postgres. Tenant context enforced at the connection level, not just the application layer. |
| PII protection | Available in platform Field-level encryption with key versioning. Keys rotate without re-encrypting historical ciphertext. |
| Transport security | Available in platform TLS termination at the deployment edge. mTLS support for service-to-service traffic where required. |
| Data residency | Available in platform Per-tenant deployment topology. Tenants pin to a specific region. Cross-border lenders run separate deployments per residency boundary. |
What deployment and data residency options should an enterprise LMS offer?
Same Spring Boot binary across all three deployment topologies. Tenants pin to a specific region; cross-border lenders run separate deployments per residency boundary.
Your data centre, your operators.
Single Spring Boot deployable on Linux + PostgreSQL. Ships through your existing change-management. Lokta provides the binary; you operate it. Suitable for regulated lenders with hard data-residency rules.
Dedicated VPC, managed by Lokta.
Single-tenant deployment in your chosen cloud and region. Lokta operates the runtime; you retain full data and audit visibility. Suitable for fast time-to-launch without giving up isolation.
Inside your cloud account.
Same binary deployed inside your VPC, with peering to your existing services. Network egress and data residency stay within your boundary. Lokta provides operational support; you own the cloud bill.
How should an LMS integrate with the lender's stack?
Lokta Core exposes a stable API surface; integration adapters are configured during implementation against the lender's priority sequence.
| Surface | Lokta Core response |
|---|---|
| API surface | Available in platform OpenAPI 3.1 spec generated from controllers. Header-based versioning means new versions ship without breaking existing clients. |
| Eventing | Available in platform Audit trail captures every mutation today. The internal event bus and external webhook fan-out are part of the standard integration surface. |
| KYC / credit / payment | Available via standard adapter Adapters for KYC providers, credit bureaus, and payment gateways are sequenced to lender priorities and configured during implementation. |
| Core banking bridge | Available via standard adapter Bidirectional sync to existing core banking systems. Lokta Core can run as the system of record or as a satellite, depending on your topology. |
| Accounting connectors | Available via standard adapter Internal GL is in the platform today (lokta-accounting module). External connectors to enterprise accounting systems are configured during implementation. |
| SMS / email | Available via standard adapter Outbound notification adapters are configured during implementation. Audit events and lifecycle transitions emit to the audit trail and can be wired to downstream notification. |
Stakeholder lenses
What each stakeholder cares about during an enterprise LMS evaluation.
Servicing throughput and exception control.
Faster servicing turnaround, fewer manual interventions, better exception handling, controlled workflows, and visibility across the loan book — anchored by maker-checker, structured audit, and the AI servicing agent.
Modern primitives, clean integration model.
Java 25 + Spring Boot 4 + Postgres, OpenAPI 3.1 with header versioning, polylithic Gradle modules, schema-per-tenant isolation, on-prem / cloud / VPC deployment, and explicit integration sequencing.
Audit-by-design security posture.
Keycloak IAM, RBAC, org-unit hierarchy, maker-checker, cross-module structured audit, field-level PII encryption with key versioning, mTLS, and tenant isolation enforced at the database layer.
Accounting depth, audit-ready financial events.
Lokta-accounting module ships in-platform: GL mapping, journal entries, accounting events, reversals, reconciliation. Portfolio MIS and arrears reporting available without external BI plumbing.
A complete RFP response surface.
Capability matrix, reference architecture, implementation plan, pricing, commercials, and risk register — all aligned to the standard procurement headings, ready to drop into your RFP framework.
LMS vendor evaluation scorecard
A weighted scoring model for enterprise LMS evaluation. Eleven categories, weights summing to 100%, and blank columns for buyer scoring. Use this as the comparator across your vendor shortlist.
| Category (weight) | What to assess |
|---|---|
| Loan servicing depth | 15% Lifecycle, restructure, write-off, asset classification, customer servicing. |
| Product configurability | 12% Multi-product, multi-currency, configurable rates, charges, allocation rules without code changes. |
| Repayment, charges, allocation | 10% EMI, non-EMI, moratorium, custom allocation strategies, waivers, reversals. |
| Collections & delinquency workflows | 10% DPD calculation, bucket movement, follow-up allocation, promises-to-pay, settlements. |
| Accounting & reconciliation | 10% GL mapping, accounting events, reversals, payment-gateway and bank reconciliation. |
| Security, IAM, audit, compliance | 12% IAM, RBAC, maker-checker, structured audit, PII encryption, tenant isolation, mTLS. |
| Integration architecture & APIs | 8% OpenAPI 3.1, versioning, KYC / credit / payment / core-banking / accounting connectors. |
| Reporting & dashboards | 7% Portfolio MIS, collections MIS, operational dashboards, configurable reports. |
| Deployment & data residency | 6% On-prem, single-tenant cloud, customer VPC, per-region tenant pinning. |
| Migration & implementation approach | 5% Six-phase methodology with parallel run, daily reconciliation, go / no-go gates. |
| AI loan servicing capability | 5% Lending-aware agent, governed actions, audit trail, RBAC-scoped permissions. |
Lokta's RFP response template
The structure Lokta uses to respond to your RFP. Procurement teams can pre-fill scope and requirements against these headings.
Capability response
Map each requirement in your RFP to a row in our functional matrix. Mark Available in platform, Available via standard adapter, or Configured during implementation.
Reference architecture
Lokta Core deployment topology recommended for your operating profile — network, identity, data residency.
Implementation plan
Six-phase delivery — discovery, solution design, configuration, migration, pilot, production. Owner per phase. Critical-path dependencies. Implementation plan with scope, dependencies, milestones, and delivery governance.
Pricing
Licensing model and per-engagement commercials. Filled in at proposal time against your portfolio profile.
Commercials
Payment milestones, support tiers, escalation, renewal terms. No surprise SOW gates.
Risks
Honest read on the dependencies and sequencing risks that touch your scope, with the mitigations Lokta proposes.
Why include Lokta in your LMS RFP?
Lokta is built by the team behind Apache Fineract and Finflux. Mifos and Fineract powered an estimated $300B–$600B in cumulative loan principal across 65M+ borrowers in 70 countries. The same engineering team that built those rails has spent the last two years rebuilding the LMS layer for the agentic era — not bolting AI onto last-decade systems, but designing canonical data, governed APIs, structured audit, and identity-for-agents into the foundation.
Lokta Core is the result. An enterprise LMS that meets the procurement requirements of banks, NBFCs, fintech lenders, and embedded-finance platforms today — schema-per-tenant Postgres, Keycloak IAM, maker-checker on every policy boundary, field-level PII encryption with key versioning, cross-module structured audit, and an AI servicing agent that operates inside the same governance frame as human servicing actions.
Invite Lokta to your RFP if you are evaluating LMS modernization, servicing automation, AI-native lending operations, or co-lending and multi-partner servicing topologies. You will receive a fitment read, a draft response against your RFP headings, and direct technical access to the founding team within five business days.
Regional notes
Region-specific RFP cues so the toolkit fits your regulatory and operational context. One hub, three lenses — India, Asia, and MEA.
RBI Digital Lending, co-lending, and the DPDP Act.
Build the RFP around RBI Digital Lending Guidelines and FLDG, the DPDP Act 2023, co-lending (CLM-2) EMI splits and partner-wise reconciliation, NACH / eNACH mandates, Account Aggregator, and all four bureaus (CIBIL, Equifax, Experian, CRIF). The security and compliance questionnaire and the functional requirements template carry these directly.
Security & compliance questionnaire →Multi-currency, multi-entity, and data residency.
For SE Asia and GCC-adjacent markets, weight multi-currency and multi-entity support, data-residency and on-prem mandates, and — where relevant — Islamic-finance product configurability (profit-rate rather than interest) as an optional requirement line.
Functional requirements template →Data residency and deployment topology.
In MEA, frame deployment topology and data residency as first-order requirements: on-prem and customer-VPC options, multi-currency, and multi-language servicing. The scorecard weights deployment and data residency as their own category.
LMS vendor evaluation scorecard →Invite Lokta to your RFP
Invite Lokta to your RFP using the form below. Tell us what you're evaluating and your timeline; we map the rest from there. Prefer email? Write to contact@lokta.ai and attach the RFP document if you have one.
Lokta returns a fitment read and a draft response template within five business days. The technical follow-up is direct with the founding team.
Your request is in.
It's with the founding team — we read every RFP invitation ourselves. You'll get a fitment read and a draft response against your RFP headings within five business days, direct from the founders. Working to a tighter deadline? Email contact@lokta.ai with it.
Loan Management System RFP — frequently asked questions
Buyer-side answers to the questions procurement teams ask most about evaluating an enterprise LMS.
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What is an LMS RFP?
A Loan Management System RFP is a procurement document that asks vendors to demonstrate how their platform supports the lender's post-disbursement lifecycle — servicing, repayments, collections, accounting, audit, integrations, deployment, security, and AI-assisted servicing. The RFP also captures implementation, commercial, and risk responses.
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When should a lender evaluate a new Loan Management System?
When servicing turnaround is rising despite headcount, when launching a new loan product takes 12–18 months, when the existing LMS cannot expose data for AI-assisted servicing, when audit and compliance overheads are growing, or when integration with modern payment, KYC, and core-banking systems requires repeated SOWs.
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What should an enterprise LMS RFP include?
Vendor overview, architecture, deployment, multi-tenancy, IAM, product configuration, lifecycle, disbursement, repayment, charges, allocation, collections, restructuring, write-off, asset classification, customer servicing, accounting, reconciliation, reporting, integrations, audit, compliance, migration, implementation, support, AI loan servicing, AI governance, pricing, and risk.
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How is a Loan Management System different from a Loan Origination System?
A Loan Origination System (LOS) handles the pre-disbursement journey — application, underwriting, decisioning, document workflow. A Loan Management System (LMS) owns the post-disbursement lifecycle — servicing, repayments, collections, restructuring, accounting, write-off, and customer servicing. Lokta Core is an LMS; Lokta Originate is the matching LOS, on the same canonical model.
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Can Lokta Core be deployed on-prem?
Yes. Lokta Core is a single Spring Boot deployable on Linux with PostgreSQL. It runs on-prem, in a single-tenant cloud, or inside the lender's VPC, with the same binary across all three.
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Does Lokta Core support multi-tenant architecture?
Yes. Lokta Core uses schema-per-tenant Postgres isolation, with shared or dedicated Keycloak realm modes per tenant risk profile. Tenant context is enforced at the database connection level.
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How does Lokta Core handle audit and compliance?
Cross-module structured audit captures every mutation with actor, action, evidence, and before / after snapshot. Maker-checker workflow gates every policy boundary. Field-level PII encryption with key versioning protects sensitive data at rest.
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What loan products and lifecycle states does Lokta Core support?
Lokta Core composes loan products from currency, repayment frequency, interest method, charges, arrears, precision, and allocation. Lifecycle states cover SUBMITTED, APPROVED, ACTIVE, CLOSED, and WRITTEN_OFF. Restructuring, moratorium, write-off, and asset classification (STANDARD / SUB_STANDARD / DOUBTFUL / LOSS) are first-class.
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Does Lokta Core integrate with core banking, payment gateways, and credit bureaus?
Yes. Adapters for KYC, credit bureaus, payment gateways, core banking, accounting, and SMS / email are configured during implementation against the lender's priority sequence. The integration partner catalogue is shared as part of the RFP response.
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Does Lokta Core include accounting?
Yes. The lokta-accounting module ships in-platform with GL mapping, journal entries, accounting events, reversals, and reconciliation. External enterprise accounting systems integrate via standard connectors configured during implementation.
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What is the AI loan servicing agent and how does it work?
The AI servicing agent answers borrower-account questions using the canonical loan model — repayment schedule, mandate status, overdue history, charges, lifecycle state. It explains exceptions and proposes actions; state-changing actions flow through maker-checker. Every prompt, response, and action is captured in the audit trail.
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How does Lokta govern AI actions?
Agents operate inside Keycloak RBAC with tenant, OrgUnit, and role scoping. State-changing actions require maker-checker approval. Prompts, responses, accessed data, and resulting actions are captured in the cross-module structured audit using the same model as human servicing actions.
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What is the implementation methodology?
Six phases — discovery and fitment, solution design, configuration and integration, migration and validation, pilot and parallel run, production rollout — with phase-level owners and a delivery plan that includes scope, dependencies, milestones, and governance.
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How does pricing work?
Lokta uses an enterprise licensing model with per-engagement commercials. Pricing is filled in at proposal time against the lender's portfolio profile, with transparent payment milestones, support tiers, escalation paths, and renewal terms — no surprise SOW gates.
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How can we invite Lokta to our LMS RFP?
Submit the RFP invitation form below or email contact@lokta.ai. Include lender type, current LMS, portfolio profile, RFP stage, target go-live, and the RFP document itself if available. Lokta returns a fitment read and a draft response template within five business days.