Loan management system (LMS) RFP toolkit
A loan management system (LMS) RFP evaluates the platform that will run a lender's book after disbursement.It tests servicing, collections, accounting, audit, security, integration, and AI governance before the lender selects a vendor. The toolkit's 30-item checklist, 64-requirement functional template, 50 vendor questions, weighted scorecard, 63-question security and compliance questionnaire, and 45 AI-governance questions are vendor-neutral: use them with whichever vendors you invite. The six-phase migration methodology is Lokta's own plan for moving a book.
This toolkit at a glance, eight assets:
- Loan management system RFP checklist. 30 items
- 50 questions to ask loan management system 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
- Loan management system vendor scorecard. 11 weighted categories
- Migration & implementation methodology. 6 phases
- Plus this overview: how to run an LMS RFP, with regional notes for India, Asia, MEA, and a short US and Europe note.
A loan management system RFP tests the post-disbursement book
An LMS RFP is the request for proposal a lender issues to select the loan management system that will run its book after disbursement. A loan management system RFP asks each vendor to show, with evidence, how the platform handles servicing, repayments, collections, restructuring, accounting, audit, security, integration, and AI governance, and how it would migrate the existing book. It also captures the implementation, commercial, and risk responses.
On this page, LMS means Loan Management System, not Learning Management System. The category boundary is the live loan book after approval and disbursement.
An enterprise LMS RFP stress-tests how a platform behaves once a real loan book, its regulators, and its integrations are in play. The questions matter; the way the vendor answers them matters more.
When to evaluate a new loan management system
- 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 your RFP should cover
Nine coverage areas span an enterprise loan management system RFP.
The nine areas: vendor and architecture, identity and multi-tenancy, loan product configuration, servicing and lifecycle, accounting and reporting, integrations and audit, migration and implementation, AI and governance, and commercials and risk. Every heading in the thirty-item checklist sits under one of them.
The loan management system RFP checklist carries all thirty headings as a standalone fillable document, and 50 questions to ask loan management system vendors turns the headings into vendor-facing asks.
What's in this toolkit
Eight assets, grouped by who on the evaluation committee opens each one. Seven of the eight tools are vendor-neutral; the methodology is how Lokta would run the migration.
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 a loan management system RFP
Six steps from framing the requirements to a controlled production rollout. The full methodology is on the companion page.
Assess the current loan management system and map the target.
Map the current system, the product catalogue and the integrations, and turn what you find into RFP requirements.
Lock the target architecture.
Agree the tenant, identity, accounting and integration design on paper, and sign it off before configuration begins.
Configure products, wire integrations, define workflows.
Configure products, charges, allocation rules and maker-checker workflows, wire the adapters, and set the AI servicing use cases.
Move the book; prove the numbers.
Migrate parties, accounts, schedules and history, then prove balances, DPD and accounting against the outgoing system.
Production pilot with controlled scope.
Run a scoped pilot alongside the existing LMS, with daily reconciliation and clear go or no-go criteria.
Cutover, hypercare, BAU.
Cut over, hold hypercare, activate the SLA, and settle into a quarterly review rhythm.
How Lokta answers this RFP
The neutral toolkit is above. Here is how we would answer it: Lokta's loan-management core capability matrix, security posture, deployment options, and fitment, as the vendor's own self-assessment.
Lokta is an enterprise Loan Management System built on schema-per-tenant PostgreSQL, Keycloak IAM, structured audit, and agent-native architecture for banks, NBFCs, fintech lenders, and embedded-finance platforms. The sections that follow map Lokta to the same requirements the toolkit asks every vendor to answer.
Lokta 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. About $500B in cumulative loan principal has been disbursed through Mifos and Apache Fineract since 2006 (Lokta's central estimate; methodology)
- 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 capability matrix
Post-approval capabilities a lender can rely on the platform to provide today. Loan Origination is on the roadmap and is not listed here.
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)
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
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)
Loan lifecycle
- Lifecycle states: SUBMITTED → APPROVED → ACTIVE → CLOSED / WRITTEN_OFF
- Disbursement posting on approved loans (full and partial tranches)
- 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 SCOPEIntegration work for KYC, credit bureau, payment gateway, core banking, accounting, and messaging is scoped during implementation against the lender's systems and acceptance criteria. Availability now does not imply a named or prebuilt connector.
How Lokta maps to the functional requirements
Ten of the requirements an enterprise lender evaluates, answered as Lokta's own self-assessment. The buyer-side template carries all 64 requirements with Must, Should and Could priorities.
Enterprise LMS functional requirements
| Requirement | Lokta response |
|---|---|
| Loan account management | Available nowCreate, maintain, modify, close, and write off loan accounts. Lifecycle states from SUBMITTED through CLOSED / WRITTEN_OFF. |
| Product configuration | Available nowConfigure loan products, schemes, rates, charges, tenure, precision, and allocation rules without code changes. Per-tenant configuration. |
| Repayment schedules | Available nowEMI, non-EMI, bullet, moratorium, and step-up / step-down. Custom frequencies via RRULE. |
| Payment allocation | Available nowConfigurable allocation across principal, interest, fees, penalties. Excess, suspense, and advance handling. |
| Collections & delinquency | Available nowAutomatic DPD calculation, configurable bucket movement, follow-up allocation. Promises-to-pay and settlement workflows. |
| Restructuring | Available nowMoratorium, reschedule, refinance, tenure change, rate change. Audit trail captures pre / post snapshot. |
| Accounting | Available nowGL mapping, journal entries, accounting events, reversals, reconciliation. The accounting module ships in-platform. |
| Audit trail | Available nowCross-module structured audit. Every mutation captured with actor, action, evidence, before / after. |
| Multi-tenancy | Available nowSchema-per-tenant Postgres isolation. Shared or dedicated Keycloak realm modes per tenant risk profile. |
| AI loan servicing | Available nowAI agent operates on canonical loan data, governed APIs, identity controls, and structured audit. Borrower-account context, exception explanation, controlled actions with maker-checker. |
RFP requirements for an AI loan servicing agent
A modern LMS helps servicing, collections, operations, and support teams understand the book, answer borrower queries, explain exceptions, and take controlled actions with auditability.
AI loan servicing evaluation criteria
| Evaluation area | Lokta 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. |
Security, audit and compliance posture to require
Enterprise security controls Lokta operates today. Stated declaratively as the platform's posture, not as certifications. Certification status available on request.
Security and compliance controls
| Control area | Lokta posture |
|---|---|
| Identity & authentication | Available nowKeycloak with OIDC / OAuth2. Service-principal support for backend integrations. Tenant-scoped realm modes (shared or dedicated). |
| Authorization | Available nowRBAC with permission groups. OrgUnit hierarchy with tree operations. Field-level decryption guarded by authorization context. |
| Maker-checker | Available nowExplicit ChangeRequest lifecycle on every policy boundary: product changes, waivers, reschedules, write-offs, settlements. |
| Audit trail | Available nowCross-module structured audit. Every mutation captured with actor, action, evidence, before / after. Replayable, queryable, retained per tenant policy. |
| Tenant isolation | Available nowSchema-per-tenant Postgres. Tenant context enforced at the connection level, not just the application layer. |
| PII protection | Available nowField-level encryption with key versioning. Keys rotate without re-encrypting historical ciphertext. |
| Transport security | Available nowTLS termination at the deployment edge. mTLS support for service-to-service traffic where required. |
| Data residency | Available nowPer-tenant deployment topology. Tenants pin to a specific region. Cross-border lenders run separate deployments per residency boundary. |
Run the 63-question security and compliance questionnaire on every vendor
Deployment and data residency options
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.
Integration with your stack
Lokta exposes a stable API surface; integration adapters are configured during implementation against the lender's priority sequence.
Integration surface
| Surface | Lokta response |
|---|---|
| API surface | Available nowOpenAPI 3.1 is the current interface contract. Any lender-specific use still receives an agreed field map, security boundary, failure path, and acceptance test. |
| Eventing | Available nowStructured audit events are available. Any outbound event delivery is scoped and accepted against the lender's target system before it is claimed as an integration. |
| KYC / credit / payment | Available nowIntegration work is available now as implementation scope. No named or universal prebuilt adapter is implied. |
| Core banking bridge | Available nowCanonical mapping and reconciliation are implemented to the lender contract. No universal connector or two-way sync is implied. |
| Accounting connectors | Available nowThe internal GL is available now. Any external accounting integration is scoped, mapped, tested, and accepted for the named system. |
| SMS / email | Available nowOutbound delivery integration is scoped and accepted for the named provider. Availability now does not imply a prebuilt provider connector. |
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.
The 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.
Loan management system vendor scorecard
Score every shortlisted vendor on the same weighted rubric before the demos begin.
The scorecard weights eleven categories to a total of 100%, heaviest on loan servicing depth, product configurability, and the security and audit block. It leaves blank scoring columns for up to three vendors, and it pairs best with a minimum threshold per category rather than a single pass mark.
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. Available-now capability is stated separately from implementation dependencies, exclusions, and acceptance evidence.
Reference architecture
Lokta 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, and renewal terms, all stated in the proposal.
Risks
The dependencies and sequencing risks that touch your scope, with the mitigations Lokta proposes.
Why include Lokta in your RFP
Lokta is built by the team behind Apache Fineract.Lokta's central estimate is that about $500B in cumulative loan principal has moved through Mifos and Apache Fineract since 2006 (methodology). The same team has spent two years designing canonical data, governed APIs, structured audit, and identity for agents into the foundation of the LMS layer.
Lokta 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, agent-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), plus a short note for US and European books.
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.
NBFC loan management system RFP requirementsMulti-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.
Loan management system vendor scorecard →CECL or IFRS 9 naming, and EU data residency.
For a US book, name CECL as the impairment framework the accounting and provisioning rows must serve; for a European or UK book, name IFRS 9 expected credit loss and its stage movement. Treat data residency inside the EU or UK, and the full sub-processor list, as first-order requirements next to deployment topology.
Security & compliance questionnaire →Further reading
The thinking behind the toolkit: the requirements, the traps, and the questions that surface them.
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.
What is a loan management system (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.
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.
What should a loan management system RFP include?
An enterprise LMS RFP spans nine coverage areas: vendor and architecture, identity and multi-tenancy, loan product configuration, servicing and lifecycle, accounting and reporting, integrations and audit, migration and implementation, AI and governance, and commercials and risk. The thirty-item RFP checklist itemises the headings under each area.
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, and document workflow. A Loan Management System (LMS) owns the post-disbursement lifecycle: servicing, repayments, collections, restructuring, accounting, write-off, and customer servicing. Loan Management is available now. Loan Origination is on the roadmap and is not available now. No release date is published.
Can Lokta be deployed on-prem?
Yes. Lokta 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.
Does Lokta support multi-tenant architecture?
Yes. Lokta 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.
How does Lokta 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.
What loan products and lifecycle states does Lokta support?
Lokta 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.
Does Lokta integrate with core banking, payment gateways, and credit bureaus?
Integration work for KYC, credit bureau, payment, core banking, accounting, and messaging is available now and configured against the lender's systems. A named connector is claimed only after its contract, data flow, failure path, and acceptance evidence are verified.
Does Lokta include accounting?
Yes. The accounting module includes GL mapping, journal entries, accounting events, reversals, and reconciliation. Any external accounting integration is separately scoped, mapped, tested, and accepted for the named system.
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.
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.
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.
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 payment milestones, support tiers, escalation paths, and renewal terms stated in the proposal.
How can we invite Lokta to our loan management system 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.
Apache, Apache Fineract and Fineract are trademarks of the Apache Software Foundation. Lokta is not affiliated with, sponsored by or endorsed by the Apache Software Foundation, the Mifos Initiative, or any other company named here.