AI case studies
AI case studies: agentic AI, generative AI and document AI
AI case studies HabileLabs has published on agents, generative AI and document AI, grouped by what the AI does: agents and automation that act inside business systems, generative AI that summarizes, drafts and answers, and models that read documents and camera feeds. Each card leads with the result its case study states.
- iSEEit: MEDDPICC coverage from 42% to 85% within 6 months
- GradientLabs: first response for qualifying cases under a minute
- Utkarsh Small Finance Bank: 2.8 lakh documents masked in one week
Agentic AI and automation
AI agents and automation that act inside business systems
Agentic AI · Amazon Bedrock42% → 85%MEDDPICC qualification coverage within 6 monthsiSEEit →
AI automation · Salesforce Service CloudUnder a minutefirst response for qualifying cases, down from hoursGradientLabs →
AI agents · SalesforceAgentforcerecord creation, status updates and lead qualification run from plain English instructionsUnaric →
Generative AI
Generative AI that summarizes, drafts and answers
GenAI + Agentforce · Salesforce30%shorter deal cycles with an AI-infused Salesforce CRM on AppExchangeiSEEit →
GenAI · Amazon Bedrock + SageMakerAutomatedstage reports and deal summaries from long documentsiSEEit →
GenAI · Amazon BedrockAmazon Bedrocksummaries of loan applications inside the DMS, for loan officersAavas Financiers →
GenAI · Claude on Amazon BedrockFastersupport resolution with ProGPT, with context-aware answers from Claude modelsHabileSoft India →
GenAI · Amazon BedrockAI captionscaptions, hashtags and descriptions for event photos and videosMemorizz →
2.8 lakh Aadhaar documents masked in one week, fully offline
Utkarsh Small Finance Bank is an RBI-licensed small finance bank. RBI masking rules applied to over 2.8 lakh Aadhaar documents in its document management system, no data could leave the building, and the bank could provide 200 sample files.
HabileLabs built models for Aadhaar number detection and QR code identification from those 200 files using data augmentation, then used AI and OCR to work through the full repository inside the bank.
- 99% masking accuracy across the full repository
- 2.8 lakh Aadhaar documents masked to RBI standards
- 1 week to complete the masking, without disrupting banking operations


Document AI and computer vision
More models that read documents and camera feeds
Document AI · Amazon S31.5 milliondocuments on Amazon S3 masked at 95% accuracy, with no manual reviewChoice Finserv →
Document AI · Offline1 monthfrom scoping to live offline masking with DMS integration, at 99% accuracyArt Housing Finance →
Document AI · Air-gapped2 TBof loan files masked in an air-gapped environment, in under 300 ms per fileWonder Home Finance →
Document AI · DocuSwift95%Aadhaar masking accuracy from the AI-powered masking engine built into DocuSwiftAavas Financiers →
AI data masking · AWSReal timemasking of sensitive financial and PII data with FinHub, in a 35+ TB move to AWSAavas Financiers →
Computer vision · RailwaysAround 65 metersof coverage from two cameras and sensors per level crossing, with automatic alerts to the rescue teamLevel crossing barrier →
Services
The AI services behind these results
One team delivers each of these services, from use-case selection to production.
Agentic AI
Systems that reason, make decisions, use tools and execute multi-step workflows, with human approval where decisions matter.
Agentic AIAI agent development
Agents that plan and carry out multi-step tasks through your APIs, in multiple languages, with guardrails and human review.
AI agent developmentGenerative AI
GenAI on Amazon Bedrock and Azure for summaries, search over your own content, chatbots, AI copilots and process automation.
Generative AIGenAI document processing
OCR, NLP and large language models that extract, classify, search and summarize documents, on AWS, Azure or on-premises.
Document processingConversational AI
Chatbots and voice assistants powered by language models, connected to your systems and grounded in your own content.
Conversational AIAI strategy and consulting
Readiness assessment, use cases ranked by value and a phased roadmap with clear KPIs, before any model is built.
AI strategy
Get results like these with AI
Tell us the workflow you want AI to handle. An AI architect will come back with candidate use cases, the data each one needs and a rough plan to production.
- AWS AI Services Competency
- OpenAI Select Partner
- Registered Partner, Claude Partner Network
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