Skit.ai
Voice AI purpose-built for BFSI debt collection calls
Overview
Skit.ai runs AI voice, SMS, email and chat collection calls for banks, NBFCs and telcos across 10+ Indian languages, switching dialect mid-call. Formerly Vernacular.ai, it's built for regulated, PCI-DSS-grade payment conversations, not general contact-center automation.
What you can produce with Skit.ai
- AI voice agent automation for debt collection, servicing and marketing calls
- 10+ Indian languages with 160+ dialect variations
- Mid-call language switching
- SMS, email and chat automation alongside voice
- PCI-DSS compliant payment collection during live calls
- ISO 27001 and SOC 2 certified
- AI-driven customer segmentation for collections strategy
ASEAN Perspective
Skit.ai in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Skit.ai (rebranded from Vernacular.ai in 2021) is a specialist, not a generalist: its voice AI is tuned specifically for BFSI collections and servicing calls, wrapped in PCI-DSS and SOC 2 controls built around taking payments mid-conversation. Its own published research claims 50-70% better liquidation rates from AI-driven segmentation and channel timing — figures worth verifying against your own portfolio rather than taking at face value.
Dialect coverage across 10+ Indian languages, with mid-call switching, is a real differentiator for lenders collecting from customers outside metro India. The catch is visibility: Skit.ai carries zero reviews on G2 despite nine years in market, so outside verification is thin next to competitors who lean harder on review-site presence. Pricing is fully custom, consultation-only. For an ASEAN lender or telco running high-volume, multilingual collections, it's worth a pilot; for general-purpose voice automation, look elsewhere.
What people say
Skit.ai started life as Vernacular.ai in 2016, rebranding to Skit in August 2021 alongside a new New York headquarters (Bengaluru remains its engineering base) and a $23M Series B led by WestBridge Capital. Total funding across five rounds now stands near $47.6M, per Crunchbase.
Independent review coverage is thin for a company this old. Its G2 seller page currently shows zero product reviews, and we found no dedicated Capterra or TrustRadius listing either — unusual for a nine-year-old voice AI vendor with an enterprise BFSI client base. That absence cuts both ways: it could reflect a customer base bound by financial-services NDAs that don't leave public reviews, or a company that simply hasn't invested in the review-site flywheel competitors use for inbound leads. Either way, buyers can't lean on star ratings here the way they can with most directory entries.
What is publicly documented comes from Skit.ai's own case studies and blog research, which should be read as vendor-published rather than independently audited. The company claims 50-70% better liquidation rates from AI-driven customer segmentation across live portfolios, and cites a specific behavioral finding — a "Willing but Anxious" borrower cohort showing 38% higher payment-promise rates when contacted Tuesday evening versus Monday morning. These are granular, operationally specific numbers that suggest real production deployments rather than marketing filler, even without third-party confirmation.
On compliance, Skit.ai markets ISO 27001, PCI-DSS and SOC 2 certification together, a more specific stack than most voice AI vendors publish, pointing to a product built to handle live payment card data during a call rather than just scripted reminders. Third-party category trackers covering AI debt-collection software (AgentCollect, AInora, SoftwareFinder) list Skit.ai alongside the collections-automation field generally, consistently citing custom, consultation-based pricing scaled to call volume rather than any published rate card — consistent with a pilot-then-scale enterprise sales motion. Buyers should ask directly for reference customers and current compliance audit reports rather than searching for review-site validation that doesn't yet exist.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Skit.ai's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Skit.ai unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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