Financial Services

BFSI engineered for speed, trust, and compliance. One team across product, cloud, data, QA, and DevSecOps to modernize safely and ship faster.

What we do for BFSI

		Modern digital channels: Build and operate highperformance web/mobile banking, with accessible UX, SEO health, and measurable SLAs for speed, reliability, and security. 		
	

		Cloud landing zone and platform: Establish secure landing zones, network segmentation, secrets/key management, DR patterns, FinOps guardrails, and full-stack observability for hybrid/multicloud. 		
	

		API and event backbone: Implement API gateways and event streaming for realtime processing, partner ecosystems, and Open Banking/BaaS readiness with throttling, quotas, and audit trails. 		
	

		Trusted data layer: Stand up CDC from core systems, unify into lakehouse/warehouse, enforce data lineage, quality, and governance; deliver governed BI for risk, finance, and CX analytics. 		
	

		DevSecOps at scale: CI/CD, infrastructure as code, policyascode, SAST/DAST, SBOM, and automated release gates; feature flags, blue/green and canary, with rollback playbooks. 		
	

		Security and compliance by design: Encryption in transit/at rest, tokenization of PII, leastprivilege access, zerotrust networking, and continuous compliance reporting aligned to PCI DSS, SOC 2, GDPR/GLBA and regional regulators. 		
	

Common BFSI challenges we address

Fragmented legacy platforms and batch processes slow change and expose risk; target architecture moves to API/eventdriven and cloudready.
Data silos and unclear ownership block insight; governance, stewardship, lineage, and quality SLAs restore trust for reporting and AI use cases.
Compliance burden grows with evolving regulations; continuous controls and automated evidence collection reduce audit friction.

Solutions menu

		Digital onboarding foundation: KYC/AML integrations, device/fraud checks, esignature, and auditable consent flows.		
	

		Payments reliability pack: eventdriven ledgering, idempotency/replay, and endtoend telemetry for faster settlement and fewer failures. 		
	

		Data trust layer: CDC→curated zones, PII masking, lineage/metadata, governance forums, and Fabric/Semantic models for selfservice BI. 		
	

		Secure cloud core: landing zone setup, IAM and key rotation, DR drills, cost policies, SIEM/SOAR integration, and policyascode. 		
	

		DevSecOps pipeline: build/test/scan/release automation, SBOM, secrets scanning, quality gates, and deployment strategies with metrics. 		
	

Operating model

Foundation in 8–12 weeks: target architecture, control matrix, landing zone, and observability baseline.

Product pods for change: twoweek sprints, weekly demos, nonprod environments mirroring prod, and measurable definitions of done.

Governed operations: SLOs and runbooks, incident playbooks, cost guardrails, and compliance checks with automated evidence.

Governance and data discipline

Operating model: data council, CDO support, domain data stewards, RACI for ownership, and issue management workflows.

Policies and controls: data classification, retention/archival, masking/tokenization, access reviews, and DQ SLAs; transparent lineage for auditability.

AIready, safely

Prepare regulated AI by fixing data foundations: consented datasets, lineage, quality thresholds, rolebased access, and humanintheloop controls.

What stakeholders get

Speed to market: weekly/daily releases with automated controls and safe rollback paths.

Lower costtoserve: rightsizing, autoscaling, lifecycle policies, and FinOps visibility tame cloud spend without risking SLAs.

Decisiongrade data: governed, timely, and consistent data powering risk, finance, and customer analytics.

Stronger posture: continuous encryption, tokenization, leastprivilege access, and auditready logs.