The thinking behind the platform.
Product updates and essays on lending infrastructure, AI governance, and the next-decade lending stack.
More from Lokta
19 articles-
Why your LMS ledger should never be model-guessed
LLMs predict; they do not calculate. Loan ledger math must be deterministic and reproducible — here is what that means for your LMS and your next RBI audit.
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Why Every Lender's Portfolio Analytics Lives in Excel
The LMS data trap — why portfolio managers, CROs and CFOs end up rebuilding loan data in Excel, and the five RFP questions that surface it before signing.
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The Customization Trap: When LMS Vendors Bill Every Change
Why every 'small change' in an LMS or LOS funnels through a billable vendor project — and the RFP questions that surface the trap before you ever sign.
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Ten Things Your LMS Needs to Do in 2026
The 2026 LMS requirements list — AI maker-checker trails, 5–10× tool-call EOD throughput, event-sourced accounting, policy-bounded agents, single-binary deployment, and operability for a 20-person team. Lokta Phase 2 ships against all ten.
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AI in Lending: Where the Real Value Will Land in the Next 3-5 Years
A practitioner's view on AI's real role across underwriting, operations, and collections — and where the lending industry is quietly over-investing today.
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The 30-Call Limit: Why Your LOS API Quietly Caps Your Lending Velocity
LOS and LMS rate limits aren't infrastructure constraints — they're commercial controls. The 30-call ceiling shapes what a lender's roadmap can ship.
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100 LMS Reviews — The Same Six Complaints Recur
We read 100+ public LMS and LOS reviews from loan officers and servicers. The same six complaints recur across every vendor — here is the theme-by-theme map.
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Agentic AI Is the Next Operating System for Lending
Why the next 10× productivity unlock in credit comes from a workforce of AI agents — not a better underwriting model. A lending-lens view of the shift.
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How to Use AI Agents in Loan Servicing
Loan servicing in plain terms, the ten categories of servicing tickets, and which ones an AI agent can run end to end today — plus the deployment playbook.
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Every Lender Replaces Their LMS Eventually
Five symptoms tell you whether you replace your LMS on your terms — or the board's. Three or more on the table is a board-level risk, not an IT one to defer.
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Agentic Lending and the 5× Problem
The napkin math no one has done: agentic collections needs 60–120 governed tool calls per account — the 5–10× multiplier no legacy LMS is built for.
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The Lending Technology Pain Map: 3 Audiences
Loan officers, in-house tech teams, and executives describe the same LMS in three different vocabularies. The pain map every buying committee needs to read.
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Why Lokta Is Polylithic: One Binary, Many Modules
Microservices were wrong for lending; monoliths can't scale teams. Polylithic Gradle modules in one Spring Boot binary — 50 engineers do what 500 used to.
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What We Learned Building Apache Fineract
Three architectural lessons from a decade building Apache Fineract and Finflux — and why incremental upgrades couldn't meet what modern lending now demands.
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The Bullet Train Problem: Legacy LMS vs. AI Lending
Agentic AI is the bullet train. Legacy LMS is narrow gauge. Here's why AI-readiness is a systems property — not a feature you can bolt on.
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Cumulative Impact of Apache Fineract on Global Lending
~$500B — half a trillion dollars — in cumulative loan principal disbursed via Mifos → Apache Fineract (2006–2026). Our central estimate, with full methodology.
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AI in Lending: Why a Deterministic Core
How Lokta deploys AI in three layers — deterministic core, workflow AI, and agentic AI — without breaking trust, compliance, or balance-sheet correctness.
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Lokta's Philosophy for Auditable AI in Lending
Eight truths that define how Lokta uses AI in lending — deterministic core, evidence-grounded outputs, human-controlled decisions, built-in auditability.
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Connected Lending: Fixing Loan Lifecycle Chaos
Why fragmented lending stacks compound costs, NPAs, and compliance risk — and what a truly connected, single-source-of-truth lending platform looks like.