Case Studies

Architecture, decisions, and results across our AWS engagements.

Full write-ups covering the problem, the architecture, foundation-model selection, security posture, and measured outcomes — plus how we chose the services and models, and what the numbers looked like once each system was in production.

Covered below

GenAI
Agentic AI
Cloud Financial Management
Forward-Deployed Engineering & BVR
GenAI · Hire me Club

AI-Powered Candidate Screening & Ranking

94% faster shortlisting, 75% less recruiter screening time.

→
GenAI · DS Enterprises

RAG-Based Enterprise Knowledge Assistant

70% faster retrieval, 92% relevance accuracy.

→
Agentic AI · Hire me Club

Autonomous Candidate Screening Agent

The same platform, examined through an agentic-workflow lens — 3.2x peak hiring capacity, no added headcount.

→
Agentic AI · DS-Enterprises

AgentCare — Patient Journey Manager

96% appointment attendance, 76% less admin effort.

→
CFM · CloudRev Technologies

AWS FinOps Optimization

30% cost reduction in 120 days, 90%+ tag compliance.

→
CFM · Franciscan Solutions

Cost Visibility for an EdTech Platform

29% cost reduction, 96% tag compliance in 120 days.

→
Approach & Delivery

How We Structured the Engagement

A closer look at the approach, the architecture, and the outcomes achieved so far.

Agentic AI

Multi-Agent AgentCore Platform at Scale

An in-flight enterprise engagement — 50+ agents across a dozen-plus departments and several channels, built on Amazon Bedrock AgentCore.

Read the write-up →
FDE & BVR

Forward-Deployed Engineering & Business Value Realization

Embedding inside a School ERP provider's team to turn dormant data into a retention feature, with KPIs agreed before the build started.

Read the write-up →
Delivery Network

Additional Engagements, Grouped by Discipline

Our AWS delivery network has delivered further engagements across these disciplines. Customer names are withheld by agreement; the summaries below describe the class of problem each engagement addressed.

Agentic AI Operations
Multi-agent patterns on Amazon Bedrock, each with its own supervisor-agent and human-in-the-loop design

Security operations center automation Compliance & threat-intelligence workflows Enterprise knowledge & data-lake governance Catalog & pricing pipelines Regulatory & litigation intelligence Startup evaluation & mentor matching

Cloud Financial Management
Further FinOps engagements alongside those profiled above

Autonomous cost-optimization agent for an enterprise multi-account estate Serverless IoT data pipeline, cutting per-unit monitoring cost HIPAA-aligned migration, cutting AI-inference cost per scan

Conversational AI & Customer Engagement
Retrieval-augmented platforms designed to eliminate hallucinated figures by construction

Multi-module analytics chatbot spanning production, HR, and document data Customer-facing e-commerce support bot Support copilot embedded in a SaaS CRM product Natural-language financial-reporting assistant over structured data

Computer Vision & Media
Vision and media-processing models in production

Multi-module image-analysis platform for quality inspection, verification, and safety monitoring Broadcast-grade AI video-translation and dubbing pipeline across Indian-language pairs

ML Forecasting & Applied Data Science
Classical ML paired with GenAI reasoning

Commodity-price forecasting with a natural-language procurement advisor AI persona simulation for market research at scale Formulation-recommendation engine for a contract manufacturer Product-feedback intelligence, turning reviews into a same-day signal

Figures above are illustrative of the range and scale of results across these engagements, not a single customer's numbers. Full detail is available on request under the same confidentiality terms as the underlying engagements.

Discuss how this applies to your environment

Describe the problem you're solving, and we'll walk you through the closest pattern from the engagements above.

Start a Conversation