LOS and LMS shouldn't be two vendors' headaches.
SquareNow: origination through collections on one loan record — for NBFC & MFI teams.
Book a demo: https://t.co/7T1LPm701U
#SquareNow#NBFC#LMS
Field networks need coaching visibility — not more guesswork.KYEHR (KH-001): field productivity managers can coach on. Support, not https://t.co/hAW6teyfk1 to us · Book a walkthrough#KYEHR #NBFC#Kapiital
@CNBCTV18News Agent networks and digital lending stacks scale only when lead→KYC→payout is one readable trail. Shared WhatsApp groups are a growth ceiling.
@solutionclime The automation scope is clear. In production, exception handling and audit trails often matter as much as the happy path—how are you designing those into the workflow?
@TheFutureEvent1@PiramalFinance Collections is becoming a data-and-workflow discipline, not just a follow-up function. The useful conversation is how teams connect early signals, field context and respectful customer communication. What operating metric are you watching most closely?
@AmieWind Infrastructure conversations matter more than feature lists. Fewer handoffs between sourcing, KYC, credit, and collections beats another dashboard.
@EntrepreneurAPJ@Indiabullssec This tracks. The expensive part is usually not another module — it is keeping origination, exceptions, and portfolio state on one case trail.
@AbhijeetDhoul@RBI@FinMinIndia@nsitharaman The ops bottleneck is rarely the product brochure — it is LOS↔LMS handoffs and field exceptions living outside the system of record.
Most agent networks still run on WhatsApp groups and spreadsheets.
PaisaNow is Kapiital Systems software for DSA/BC field networks — one agent app, one ops dashboard.
Book a walkthrough: https://t.co/ehIVfzQZpx
#FintechIndia#NBFC#DSA
Origination in one tool. Portfolio ops in another. Handoffs in between.
SquareNow is LOS + LMS in one B2B SaaS stack — built for India NBFC and MFI teams who want fewer breaks between "originate" and "manage".
Book a walkthrough · Talk to us
#SquareNow#LOS#LMS
@NDTVProfit More credit data is useful only when provenance, consent and purpose limits stay visible. For AI in lending, explainable signals, audit trails and human review are as important as model lift. Curious how CRIF sees data lineage being operationalised?
@mikogen The gap between genAI pilots and agentic workflows feels less about model capability and more about operating controls: scoped actions, audit trails, human review, and clean handoffs. Which control layer are banks prioritising first—model risk or workflow governance?
@DealsDhamaka For first-time borrowers, the last mile matters: clear eligibility, assisted onboarding, and reliable servicing can make formal credit genuinely usable—not just available on paper.
@india_context Operationally, the guardrails become real only when consent, affordability checks, and collections workflows are connected end to end. Good servicing protects both borrower outcomes and portfolio health.
@CNBCTV18News@BiswasSrabastee Access improves when speed is paired with clear consent, explainable checks, and strong servicing after disbursal. The operational layer matters as much as the front end.
Growth across branches shouldn’t mean losing sight of what’s on the ground.
PaisaNow is ops tooling for NBFC/MFI operators — onboarding through collections, field + branch + digital.
→ Book a demo: https://t.co/ehIVfzQZpx
#MFI#NBFC#DigitalLending
@Rahul_J_Mathur Interesting turnaround. After a stressed MFI book, the operating challenge is often integration: clean data, consistent field workflows, and early-warning signals across the portfolio. Curious which capability mattered most in Slice’s recovery?
@niveyshak Interesting to see institutional backing for digital lending infrastructure. The next test is turning capital into resilient servicing and collections workflows as volume scales—especially across data quality and field operations.