Avahi | Generative AI Production Implementation on AWS

Avahi's Generative AI Production Implementation service delivers enterprise-ready AI systems on Amazon Bedrock and AWS. Whether you are promoting a validated POC or starting from a defined use case, we handle architecture, build, security, MLOps, and go-live. Engagement Structure: Phase 1 — Architecture & Design: We finalize the production architecture, data pipeline design, security model, and integration plan. If promoting from a POC, we identify gaps between prototype and production requirements. Deliverables: Architecture Decision Records, security review, data flow diagrams, sprint plan. Phase 2 — Core Build: Iterative development in 2-week sprints. We build the AI application, data ingestion and transformation pipelines, vector database indexing (for RAG), prompt chains, guardrails, and integration with your existing systems. Continuous stakeholder demos at each sprint boundary. Phase 3 — Hardening & MLOps: Security hardening (prompt injection mitigation, PII detection, output filtering), load testing, failover testing, and MLOps pipeline setup (model monitoring, drift detection, automated retraining triggers). CI/CD pipeline for the full application stack. Phase 4 — Go-Live & Handoff: Production deployment, operational runbook delivery, team training, and hypercare support period. Includes cost governance setup with budget alerts and usage dashboards. Production Architecture Patterns We Deploy: RAG (Retrieval-Augmented Generation) — Amazon Bedrock Knowledge Bases, OpenSearch Serverless, Aurora pgvector, S3 document ingestion, chunking strategies, citation pipelines. Deployed for franchise knowledge assistants, expert discovery platforms, and legal query automation. Agentic AI — Amazon Bedrock Agents, tool use, multi-step reasoning chains, human-in-the-loop approval gates. Deployed for procurement automation, financial insights engines, and predictive maintenance planning. Multi-Modal Processing — Document extraction (Textract + Bedrock), image/video analysis (Rekognition + Bedrock), voice (Nova Sonic). Deployed for court order processing, video content moderation, and product visualization. Predictive ML — SageMaker training pipelines, feature engineering, model serving. Deployed for churn prediction, retention analytics, and demand forecasting. Security & Compliance: Every production deployment includes IAM least-privilege policies, encryption at rest and in transit, VPC endpoints for Bedrock, CloudWatch logging, and prompt injection mitigation. HIPAA-compliant architectures available for healthcare workloads. AWS Credentials: Premier Tier Services Partner, Generative AI Competency, Machine Learning Competency, DevOps Competency, 50+ certifications, 200+ customer launches.