Hindi, Tamil, Telugu, Marathi, Bengali, Gujarati, Kannada, Punjabi, Odia, Malayalam, Assamese — and English. Voice cadence and dialect matter for right-party-contact rates.
Every model decision in lending, fraud, or collections needs explainability and an immutable audit trail for the next inspection.
Finacle, Flexcube, BaNCS, custom mainframes. AI has to play nice with COBOL-era data, not replace it.
DPDP, RBI data localization, sectoral storage rules. No PII leaves your VPC — period.
Hybrid AI + human agents in 12 Indian languages. Per-resolved-call billing. Right-party contact lift of 3.2× on average across our deployments.
OCR + LLM extraction for Aadhaar, PAN, GSTIN, UBO disclosures. PEP/sanction screening with audit-ready evidence packs.
Document intake → underwriter assist → exception flagging. Reduces underwriter cycle time by 40–60% on retail and SME lending.
Anomaly detection on transactions, agent-assist for compliance officers, regulatory-change copilots tuned on RBI master directions.
Replaced a fully-human dialer with a hybrid AI + human flow across 6 Indian languages. Same headcount, 3.2× contact rate, 28% faster resolution.
Document intake, OCR, sanctions, and PEP screening across 11 doc types. 82% of applications complete without human intervention.
Yes. We deploy with Terraform / CDK to AWS, GCP, Azure, or your on-prem datacenter. No PII leaves your VPC. Hosted-API LLMs (OpenAI, Bedrock) are optional and gated behind a redaction layer.
Every inference call is logged with input, output, model version, and decision rationale. Audit packs export to PDF on demand. We've supported three RBI inspections across our BFSI book.
One bucket (early-stage / mid-bucket / hard-bucket), one geography, two languages. Six weeks to live, billed per resolved call from week one. Roll on/off monthly.