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Lokta Core · 2026-06-04

50 Questions to Ask LMS Vendors

A vendor-evaluation question bank covering 50 questions across 9 themes. Use during demos, vendor calls, or as the question track for your RFP response template.

00

How to use this question bank

Each theme corresponds to a section of an enterprise LMS RFP. Pull the questions you need into your RFP document, or use the bank verbatim during vendor demos and follow-up calls.

  • Send themes 01–09 with the RFP package; vendors respond per theme.
  • During the demo, ask one or two questions per theme to test demo-time depth.
  • Score each theme against your weighted scorecard (companion download).
  • Flag questions vendors deflect or ignore — those are signals about how the engagement will go.
01

Product configuration

  1. Can the LMS configure multiple loan products without code changes?
  2. Can product rules vary by tenant, geography, partner, portfolio, or borrower segment?
  3. Does the platform support multiple currencies and repayment frequencies?
  4. How are charges, penalties, waivers, and allocation rules configured?
  5. Can product configuration changes be maker-checker approved and audited?
  6. Can product versions be scheduled, effective-dated, and retired without disrupting existing loans?
02

Loan lifecycle

  1. What lifecycle states are supported out of the box?
  2. Can the system support partial and tranche-based disbursement?
  3. Can the system generate repayment schedules with moratorium and step-up / step-down?
  4. Can loans be restructured, refinanced, rescheduled, or written off?
  5. How are asset classifications configured and updated automatically?
  6. Can backdated corrections be processed with audit history and accounting impact preserved?
03

Collections & delinquency

  1. Does the system calculate DPD automatically?
  2. Can DPD bands and delinquency buckets be configured per product or partner?
  3. Can collections queues be assigned by product, geography, risk, or delinquency stage?
  4. Does the system track promises-to-pay end-to-end?
  5. Are settlement approvals maker-checker controlled?
  6. Can queue priority combine DPD, risk score, promise-to-pay status, and collector capacity?
04

Accounting & reconciliation

  1. Does the LMS maintain accounting events natively?
  2. Can GL mappings vary by product, charge, fee, tax, transaction, or branch?
  3. How are payment reversals handled across the GL?
  4. How are failed payments handled across the lifecycle?
  5. Can the system reconcile payment-gateway and bank transactions?
05

Security & compliance

  1. Does the system support OIDC / OAuth2?
  2. Does it support role-based access control with permission groups?
  3. Does it support an org-unit hierarchy with tree operations?
  4. Are loan mutations captured with before / after audit?
  5. Is PII encrypted at field level with key versioning?
  6. Can access policies restrict data by tenant, org unit, role, and field sensitivity?
06

Deployment

  1. Can the LMS run on-prem?
  2. Can it run in a lender-owned VPC?
  3. Can it run as a single-tenant cloud deployment?
  4. How does the platform handle data residency at the tenant level?
  5. How is tenant isolation enforced — application layer, database layer, or both?
07

Integrations

  1. Does the platform expose OpenAPI specifications generated from controllers?
  2. How does API versioning work — header-based, URL-based, or content-negotiation?
  3. Can the LMS integrate with core banking systems as either system of record or satellite?
  4. Can it integrate with payment gateways, credit bureaus, and KYC providers?
  5. Can it integrate with enterprise accounting systems via standard connectors?
08

AI loan servicing

  1. Can the AI agent answer loan-account-specific questions using canonical data?
  2. Can it explain overdue amount, charges, repayment schedule, and next due date?
  3. Can it summarise account history for servicing teams?
  4. Can human users approve AI-suggested actions before execution?
  5. Are AI prompts, responses, and actions logged in the audit trail?
09

Implementation, migration & vendor governance

  1. What data migration approach does the vendor recommend, and what does parallel run look like?
  2. Can historical transactions, schedules, and balances be migrated and validated?
  3. What support model and SLAs are available — uptime, response time, escalation paths?
  4. How are risks documented in the RFP response, and what mitigations are proposed?
  5. What commercial model is offered — licensing, payment milestones, renewal terms?
  6. Does the vendor provide a cutover runbook with reconciliation gates and rollback criteria?

Lokta.ai — Enterprise Loan Management System for lenders modernizing servicing, collections, accounting, audit, and AI-native lending operations. Founded by the team behind Apache Fineract and Finflux.

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lokta

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Bangalore, India

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