Avahi | Generative AI Proof of Concept on AWS

Avahi's Generative AI Proof of Concept service validates your highest-value AI use case on Amazon Bedrock. We go beyond demo-ware — every POC is built against your actual data, measured against your KPIs, and architected for production promotion. How It Works: Discovery & Architecture: We run a complimentary use case discovery session to identify and rank candidate use cases by business impact, data readiness, and technical feasibility. We select one use case, define success KPIs, and design the target architecture on Amazon Bedrock. Build & Iterate: Our engineers build a working prototype using Amazon Bedrock foundation models (Claude, Titan, Llama, Nova, Stability AI), custom RAG pipelines with vector databases (OpenSearch Serverless, Aurora pgvector), and serverless compute (Lambda, API Gateway, Step Functions). We select the optimal model for your use case based on accuracy, latency, and cost requirements. Validate & Roadmap: We run the prototype through your KPI framework, validate against success criteria, and deliver a production roadmap covering MLOps, security, scaling, and estimated monthly AWS costs. POC Deliverables: — Working prototype connected to your data sources — Architecture diagram with AWS service mapping — Production roadmap with timeline and cost estimates — KPI validation report against agreed success criteria Use Cases We Prove Out: — Intelligent Chatbots: Multi-tenant, context-aware assistants for customer support, internal operations, and franchise networks — Structured Data Extraction: Automated document processing for court orders, invoices, medical records, logistics manifests, and procurement documents — Enterprise Search (RAG): Knowledge assistants over internal documentation, franchise playbooks, expert directories, and compliance libraries — AI Voice Agents: Speech-to-speech interactions with Amazon Nova Sonic for patient communications, customer service, and scheduling — Predictive Analytics: Churn prediction, demand forecasting, and retention modeling — Content Generation: Marketing collateral, educational content, narrative generation, and promotional image creation — Medical Scribing: Clinical documentation automation — NL2SQL: Natural language querying of structured databases — Image & Video Analysis: Object identification, content moderation, and visual inspection Why Avahi for GenAI POCs: Generative AI Competency — One of a select group of AWS partners with the GenAI Competency, validated through rigorous technical review and customer success criteria. Foundation Model Expertise — We have deployed production workloads across Claude (Anthropic), Titan, Llama, Nova, and Stability AI models on Amazon Bedrock, with deep experience selecting the right model for each use case. Speed to Value — Most POCs produce a working demo within the first half of the engagement. Our 100+ GenAI implementations span agentic AI, RAG, multi-modal processing, and predictive ML. Production Path — Every POC is designed with production in mind. Architecture decisions, security patterns, and cost models are all production-grade from day one. AWS Credentials: Premier Tier Services Partner, Generative AI Competency, Machine Learning Competency, 50+ certifications, 200+ customer launches.