Banking and insurance

Modernize risk, customer and operations with secure platforms and AI. Underwriting assistance, claims automation, AML/fraud detection, and governed data platforms enable faster, safer decisions. We align to tightening regulatory expectations while improving speed to serve, resilience, and cost efficiency.

Financial services modernization

Customer experience with responsible AI

Retail banking and insurance distribution are shifting to advice‑led, omnichannel journeys. We implement assistants that retrieve policy and product knowledge with high fidelity, summarize complex terms in plain language, and capture structured intents for straight‑through processing. Safety filters, identity verification and consent management are embedded. Success looks like first‑contact resolution improvements, shorter cycle time for quotes and claims, and higher NPS—with auditability for compliance teams.

Risk, fraud and financial crime

Fraudsters innovate continuously; controls must do the same. We combine graph features, streaming signals and retrieval‑augmented investigations so analysts see context fast. AML screening benefits from entity resolution and document understanding that reduces false positives while keeping evidence trails. We measure precision/recall, investigator cycle time, SAR quality and loss reduction to quantify impact.

Core platforms and data foundation

Data silos slow underwriting and claims. We deliver a governed lakehouse with real‑time feeds from policy admin, billing, CRM, IoT/telematics and external data providers. Domain‑owned data products expose trustworthy views with lineage and SLAs. APIs and event streams decouple front‑ends from cores, enabling faster change without risking stability. Platform SLOs and cost per transaction are tracked to ensure scale and efficiency.

Cyber resilience and regulatory readiness

Identity‑first security, segmentation and continuous detection reduce breach blast radius. We align logging and retention to regulatory regimes, and implement playbooks for incident response and tabletop exercises. Our approach improves MTTD/MTTR while simplifying audits through clear control evidence and reconciled inventories.

Operating model for speed and control

We set up principal‑led pods that co‑build with your risk, compliance and security partners. Architecture review gates, model risk management, and evaluation dashboards provide visibility so leaders move quickly with confidence. Nearshore delivery ensures time‑zone overlap for underwriting seasons and regulatory deadlines.

Case example

Claims triage and fraud investigation: Introduced an AI assistant for claims reps with retrieval from policies, endorsements and prior claims. Added streaming features for fraud signals and a guided investigation workspace. Outcomes: 18% faster cycle time, 14% fewer leakage incidents, and 9‑point improvement in investigator satisfaction. KPIs: STP rate, cycle time, fraud loss avoided, audit exceptions, unit cost per claim.

Impact measures

References