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Success Stories

Case Studies

Real impact. Measurable outcomes. How we help leading enterprises achieve transformational results with AI.

BFSI | Asset Management· 4+ Crore investors

AI-Driven Content & Engagement Platform

Leading Asset Management Company (Top 5 in India)

The Challenge

  • Generic, one-size-fits-all content resulting in poor engagement across investor segments
  • Severe bottleneck in content production — manual processes couldn't keep pace with campaign demands
  • Inefficient manual campaign execution consuming significant analyst bandwidth

Our Approach

  • Deployed an Autonomous Agentic AI platform that generates personalised content at scale for each investor segment
  • Built-in regulatory and brand compliance enforcement to eliminate review bottlenecks
  • Theme-based AI-generated visuals aligned to campaign narratives, removing creative dependency

The Results

  • Materially elevated open rates across investor segments through hyper-personalised subject lines and content
  • Superior click-to-transaction ratios driven by relevance and timing precision
  • Scalable content production without compliance risk — campaign velocity increased 5x

Stack: Agentic AI, Content Generation Models

Healthcare | Digital Wellness· 5+ million patient-days

Conversational AI Health Coach Assistant

European Health Tech Company

The Challenge

  • Low engagement in wellness programs — users dropped off within weeks of onboarding
  • Unsustainable cost structure at €200–300 per user per year with poor health outcomes to show for it
  • 35% user churn rate undermining programme ROI and clinical impact

Our Approach

  • Multi-agent AI architecture with Retrieval-Augmented Generation (RAG) for contextually accurate health coaching
  • Human-in-the-loop design ensuring clinical oversight without sacrificing conversational fluency
  • GDPR-compliant deployment on Google Cloud Platform with end-to-end data isolation per client

The Results

  • User Retention: 65% → 89% — a 24 percentage point improvement in sustained programme engagement
  • Weekly Active Users: 42% → 78% — users engaging meaningfully, not just logging in
  • NPS Score: 52 → 81 — a 29-point leap reflecting genuine satisfaction with the AI coach experience

Stack: Google Cloud, Vertex AI, LangGraph, BigQuery

BFSI | Asset Management· 4+ Crore investors

Precision Targeting for Mutual Fund Growth

Top 5 Asset Management Firm

The Challenge

  • Random, broad-based manual mailers with no segmentation — high spend, low returns
  • Campaign planning cycles of 30+ days making it impossible to respond to market movements
  • No measurement mechanism to attribute revenue to specific campaigns or models

Our Approach

  • Built predictive propensity models that score each investor's likelihood to purchase specific fund categories
  • Automated campaign calendar that dynamically adjusts targeting based on market signals and investor behaviour
  • Closed-loop ML feedback integration — each campaign's outcome feeds model retraining

The Results

  • ₹4,000+ Crores in gross purchases directly attributed to ML-driven targeting
  • ₹3,000 Crores annually influenced by the machine learning models
  • Campaign planning compressed from 30 days to 2 days — enabling real-time market responsiveness

Stack: AWS SageMaker, AWS S3, AWS Athena, Tableau

Healthcare | Health Tech

Enterprise GCP Foundation & Health Platform

European Health Tech Company

The Challenge

  • No enterprise-grade cloud infrastructure — each new client deployment was a manual, multi-week effort
  • Complex multi-tenancy requirements (B2B2C) with both enterprise clients and individual end-users
  • Strict GDPR and HIPAA compliance mandating complete data isolation between tenants

Our Approach

  • Designed a 3-tier GCP resource hierarchy providing governance, billing control, and security boundaries
  • Implemented Shared VPC architecture with dedicated projects per tenant for true data isolation
  • Full Infrastructure-as-Code using Terraform — every environment reproducible, auditable, and version-controlled

The Results

  • New tenant onboarding compressed from 2–3 weeks to under 4 hours — unlocking enterprise sales velocity
  • 32% reduction in cloud spend through optimised resource allocation and committed use discounts
  • 100% data isolation between tenants — passing GDPR and HIPAA audits with zero findings

Stack: Google Cloud Platform, Terraform

BFSI | Asset Management· 4+ Crore investors · 5–8 Crore daily events

Campaign Attribution & Analytics Platform

Leading Asset Management Company

The Challenge

  • ₹100+ Crores annual marketing spend with no unified attribution — impossible to know what was working
  • Siloed data across channels with no single source of truth for campaign performance
  • No ML feedback loop — decisions made on intuition rather than evidence

Our Approach

  • Built a Lakehouse Enterprise Data Warehouse on AWS consolidating all campaign and investor behavioural data
  • Implemented multi-window attribution modelling to accurately credit touchpoints across the investor journey
  • Integrated ML feedback pipelines enabling attribution insights to flow back into targeting models automatically

The Results

  • 99.8% pipeline SLA adherence across all data ingestion workflows — marketing teams always have fresh data
  • Zero data quality incidents post-launch — replacing a system that had frequent reconciliation failures
  • Sub-second query performance on 500GB+ tables, enabling analysts to explore data without waiting

Stack: AWS S3 + Athena, AWS Glue, Tableau

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