AI BANK

Enabling banks to expand their ecosystem, increase usage frequency
and deepen customer retention.

From voice assistants and smart search to automated underwriting, fraud detection and workflow automation.

Examples include up to 55% cost reduction in support, 40% FTE/workload reductions in monitoring, and 50% faster credit decisions in pilots.

Combine core-banking APIs, CRM, data warehouses and on‑device/edge models for fast, secure deployments.

A voice assistant dramatically reduced call-center pressure by handling a majority of inbound queries without human help. It recognizes customer intents across multiple topics and executes routine requests end-to-end. The assistant processes over 80% of inbound calls, resolves 35% fully automatically, and cut call-processing costs by 65%.

A fine-tuned assistant was deployed to guide agents and streamline onboarding. The assistant suggests responses, surfaces relevant knowledge-base articles, and standardizes agent workflows to improve speed and consistency. It lowered average handling time by 1% and raised CSAT by 0.1 percentage points while easing operator training.

An automated dialogue-evaluation system overhauled manual quality control and made large-scale monitoring practical. The built tool scores and assesses call conversations programmatically against quality standards. The dialogue-evaluation budget was reduced by 3.5×, and materially lowered the need for manual audits.

A universal AI assistant with a natural-language (NL→SQL) interface gave relationship managers and staff direct, on-demand analytics and clear personalized client insights. The assistant reduced client-briefing preparation from hours to minutes and broadened analytics access across the organization.