Financial services on AWS
Most BFSI cloud programs stall because the regulator wants one architecture and the product team wants another. We build the one that satisfies both, in your AWS account, with audit trail per PR.
Real engagements, real numbers. Where Armakuni has already shipped in this vertical.
We have shipped these on AWS before. Here is how each one breaks, and how we fix it.
VB6, Citrix, COBOL, mainframe. Every modernization attempt stalls at the same wall: tightly coupled architecture, no AWS strategy that addresses infrastructure and product simultaneously.
Canadian, EU, and APAC sovereignty rules turn every migration plan into a compliance exercise. Most partners retrofit residency. We build it in from day one.
Analysts maintaining business rules in spreadsheets while transaction volume projects 10x growth. Headcount becomes the only growth lever, until it stops being one.
CRM, claims, policy, and loyalty in four windows. A 10-second customer request becomes 3 minutes of agent time. Every refund or eligibility check is a human cycle.
Not every offering applies in this vertical. Here are the ones that fit, and the angle we take with each.
BFSI modernization is rarely a clean rewrite. It is a 25-year-old core, a regulator watching, and a product team that needs new features shipped this quarter. The AK Way runs the AI tooling against the foundation that makes it safe: test coverage, clean architecture, observability, audit trail per PR.
Production GenAI in financial services is not a chatbot. It is fraud-rule generation with audit trails, document extraction with PII excluded at query level, and Bedrock invocations that satisfy InfoSec without a six-month review. Bedrock AgentCore deployed in your AWS account, under your IAM, with bounded actions.
Voice in BFSI is regulated, recorded, and revenue-bearing. Migrations off Genesys, Avaya, or Cisco need real-time fraud signals, sentiment, and CRM context delivered before the agent picks up. AI-augmented routing and post-call compliance summaries that an auditor can actually use.
Risk, compliance, and customer 360 all need the same governed data layer. Snowflake-to-Redshift, multi-tenant cost attribution by customer, and pipelines that satisfy a regulator without slowing the analyst.
Once production is live, BFSI does not get to take a holiday. 24x7 ownership, on-call discipline through enrollment windows, and DORA metrics that show the auditor that change failure rate is actually trending down.
Six engagements: shipped, in flight, or scopable inside an AWS-funded discovery.
Discover, residency-map, and roadmap a 25-year-old broker management system. Reframe from migration to modernization. AWS-funded.
Bedrock-powered LLM trained on annotated fraud transactions, generating rule changes with full audit trail. Replaces 30+ analyst hours per week.
Event-driven pipeline on S3, SQS, Bedrock Nova Pro, and Celery. Insurance forms processed asynchronously without blocking the platform.
Flow conversion, compliance rebuild, dual-running discipline, and silent supervisor push. Migration playbook from a partner that has done it.
Diagnose recurring outages on a high-volume policy and quoting platform. Reliability fix that protects atomic policy binding and payment.
Privacy-preserving data staging from Redshift through AWS Clean Rooms for partner collaboration without exposing raw data.
Named, public references in this vertical. Open the case study for engagement scope, AWS funding, and outcome.
Most engagements open with a fixed-fee, AWS-funded discovery. These three workshops are where it usually starts.
Procurement-grade controls available on request. We run engagements under these regimes routinely.
Your first call is with a solution architect, not a sales exec. The first engagement is usually an AWS-funded assessment.