Public Case Study
Building a Secure RAG-Based Knowledge
Assistant on AWS
Transforming institutional knowledge discovery and regulatory compliance for high-velocity BFSI operations.
Client Overview
Client
Industry
Use Case
Platform
Implementing Partner
Client Overview
Client
Industry
Use Case
Platform
Implementing Partner
Executive Summary
Ayan Analytics – a SEBI-registered BFSI firm – faced mounting operational challenges in accessing complex regulatory circulars, audit guidelines, and internal compliance policies efficiently. Manual lookups frequently consuming hours 30 to 45 minutes, creating dangerous delays in business decisions and risking non-compliance with rapid regulatory modifications.
Infimatrix designed and deployed an advanced Retrieval-Augmented Generation (RAG) assistant using Amazon Bedrock and Bedrock Knowledge Bases. The new system replaces manual searches with secure, conversational access to enterprise knowledge. Backed by Amazon OpenSearch Serverless, every response is traceably grounded and fully secured inside a dedicated AWS VPC.
The Challenge
Manual Search Inefficiency
Employees spent 20–40% of their workday searching for information (McKinsey research).
Knowledge Silos
Critical institutional knowledge was locked in documents accessible only to specific teams.
Expert Dependency
Over-reliance on a few SMEs created bottlenecks and single points of failure.
Information Overload
Thousands of documents exist, but finding the right answer requires knowing which document to look in.
Compliance Risk
Delayed access to regulatory updates increased non-compliance exposure.
The Solution
Infimatrix implemented a secure, fully managed RAG architecture on AWS. The solution is VPC-isolated with private subnets, authenticated access via Amazon Cognito and AWS IAM, and full observability through CloudWatch and CloudTrail.
Documents are uploaded to Amazon S3, automatically chunked and embedded by Amazon Bedrock Knowledge Bases, and indexed in Amazon OpenSearch Serverless for semantic search. When an employee asks a question, the system retrieves the most relevant passages and Amazon Bedrock (Claude) generates a source-cited response — validated by Bedrock Guardrails before delivery.
Responsible AI — Amazon Bedrock Guardrails
In regulated industries, an inaccurate compliance response is a liability. Infimatrix configured Amazon Bedrock Guardrails to help ensure AI responses are safe, grounded, and within business scope – significantly reducing the risk of ungrounded or inaccurate responses through grounding checks and source attribution.
Guardrail
Configuration
Purpose
Content Filters
Block hate, violence, misconduct content
Responsible AI in regulated environments
Denied Topics
Configure topics outside business scope
Prevent off-topic assistant responses
PII Redaction
Anonymise/block PII in responses
Data privacy for sensitive financial data
Grounding Check
Enable with threshold 0.75+
Significantly reduces ungrounded response risk; anchors answers to approved source documents
Contextual Grounding
Relevance + faithfulness scoring
Helps filter potentially ungrounded responses; suppresses low-threshold answers
Business Outcomes
KPI
Baseline
Configuration
Purpose
Time to find information
30–45 minutes
2–5 minutes
Time tracking / user surveys
Query resolution without escalation
40–50%
85–90%
Escalation ticket count
Employee satisfaction (knowledge access)
NPS 20–30
NPS 60–70
Quarterly NPS survey
New employee time-to-productivity
3–4 weeks
1–2 weeks
HR onboarding metrics
Document search accuracy
50–60%
90%+
Accuracy audit (sample queries)
Target performance ranges based on objectives defined during assessment and deployment. These represent expected improvement benchmarks, not confirmed production metrics.
Key Benefits
- Strengthened Compliance Posture : Every answer is traceable to an approved document, supporting BFSI audit requirements.
- Eliminated Knowledge Silos : Enterprise-wide access to regulatory circulars, SOPs, and policies — regardless of owning team.
- Reduced SME Dependency : AI-powered self-service handles the majority of knowledge queries, freeing experts for higher-value work.
- Accelerated Onboarding : New employees self-serve answers instead of waiting for training sessions or colleagues.
- Scalable & Future-Ready : Fully serverless; new documents are auto-indexed with zero manual infrastructure management.
- Strengthened Compliance Posture : Every answer is traceable to an approved document, supporting BFSI audit requirements.
- Eliminated Knowledge Silos : Enterprise-wide access to regulatory circulars, SOPs, and policies — regardless of owning team.
- Reduced SME Dependency : AI-powered self-service handles the majority of knowledge queries, freeing experts for higher-value work.
- Accelerated Onboarding : New employees self-serve answers instead of waiting for training sessions or colleagues.
- Scalable & Future-Ready : Fully serverless; new documents are auto-indexed with zero manual infrastructure management.
Conclusion
Infimatrix successfully deployed a secure, enterprise-grade RAG knowledge assistant for Ayan Analytics on AWS, built on three core pillars:
Security-First Design
VPC isolation, authenticated access, encryption at rest and in transit, and full audit trail via CloudTrail.
Responsible AI
Amazon Bedrock Guardrails ground every response in approved documents, significantly reducing the risk of inaccurate or ungrounded answers - critical for BFSI compliance.
Target Business Outcomes
30–45 minute manual searches replaced by near-instant AI-powered responses, targeting 85–90% query resolution without SME escalation.
This fully managed, serverless solution is applicable to any BFSI organisation seeking to modernise knowledge management, strengthen compliance posture, and break down knowledge silos.
Conclusion
Infimatrix successfully deployed a secure, enterprise-grade RAG knowledge assistant for Ayan Analytics on AWS, built on three core pillars:
Security-First Design
VPC isolation, authenticated access, encryption at rest and in transit, and full audit trail via CloudTrail.
Responsible AI
Amazon Bedrock Guardrails ground every response in approved documents, significantly reducing the risk of inaccurate or ungrounded answers - critical for BFSI compliance.
Target Business Outcomes
30–45 minute manual searches replaced by near-instant AI-powered responses, targeting 85–90% query resolution without SME escalation.
This fully managed, serverless solution is applicable to any BFSI organisation seeking to modernise knowledge management, strengthen compliance posture, and break down knowledge silos.
About Infimatrix
Infimatrix Technologies Pvt. Ltd. is an AWS Partner specialising in Generative AI, cloud-native architecture, and digital transformation for regulated industries.
Specialisations:
Generative AI
RAG Solutions
Amazon Bedrock
BFSI Digital Transformation
About Infimatrix
Infimatrix Technologies Pvt. Ltd. is an AWS Partner specialising in Generative AI, cloud-native architecture, and digital transformation for regulated industries.