LLMOps & GenAI Lifecycle Management on AWS by Futuralis

Keep your AI running in production. The Futuralis LLMOps and GenAI Lifecycle Management on AWS service helps organisations maintain production GenAI systems with monitoring, evaluation pipelines, prompt and version management, model quality checks, token and cost tracking, drift review, and a recurring optimisation cadence.

Futuralis implements a monitoring and evaluation pipeline, prompt registry and version management, model and response quality checks, token and cost tracking, drift and quality review, incident workflow, and a recurring optimisation cadence — giving your team full lifecycle visibility and control over production GenAI workloads on Amazon Bedrock and SageMaker.

Core deliverables include an LLMOps operating model, evaluation dashboard design, prompt registry, AI cost report, production monitoring checklist, incident workflow, and monthly AI health report. Recommended next steps: Secure GenAI and RAG Security Assessment, GenAI Privacy and Responsible AI Guardrails, Managed AWS Security Operations. This professional service relates to Amazon Bedrock, Bedrock Agents, Knowledge Bases, Amazon SageMaker, Amazon S3, AWS Lambda, Amazon OpenSearch, AWS KMS, and Amazon CloudWatch.