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Ready-Made AI Workflows Tailored for You
Document AI
AWS Stack: Textract + Comprehend + Bedrock
We combine Textract’s OCR with Comprehend’s NLP to extract and interpret complex documents — then enhance it with Bedrock’s generative summarization or chat interfaces for instant insights
Use Cases: Invoice, Receipts, Contracts, KYC/IDs
Conversational AI
AWS Stack: Lex, Bedrock, Transcribe, Polly
Deliver human-like conversations powered by AWS Lex and Bedrock’s foundation models. Add speech recognition and natural-sounding voices to automate interactions 24/7 across text and voice channels.
Use Cases: Customer support, HR, internal helpdesk
Intelligent Search
AWS Stack: Kendra + Bedrock (RAG Pattern)
Combine Kendra’s semantic search with Bedrock-powered retrieval-augmented generation (RAG) to create knowledge assistants that understand your enterprise data.
Use Cases: Knowledge retrieval, Internal Q&A, Legal research
Vision AI
AWS Stack: Rekognition + Lookout for Vision
Automate visual inspections and identity checks with AWS computer vision tools. Detect anomalies, validate faces or documents, and continuously improve accuracy with feedback loops.
Use Cases: Manufacturing, ID verification, anomaly detection
How it Works
From Discovery to Deployment
- Discovery Call — Identify your workflow challenges.
- Proof of Concept (1–2 weeks) — Deploy AWS pretrained models in your environment.
- Integration & Automation — Connect with APIs, databases, or apps.
- Optimization & Support — Continuous improvement through monitoring and feedback.
Results you can expect
- 70–90% reduction in document processing time
- 3x faster deployment vs custom AI Up to
- 50% lower operational costs AWS-native scalability and compliance
Case Study: Austrialian Construction Startup


