Fault-tolerant AI workload infrastructure designed to self-heal
An enterprise SaaS company scaling AI-assisted features discovered their existing AWS infrastructure wasn't designed for the bursty, high-latency patterns of agentic AI workloads. A Grafter worked with their platform team to redesign the compute layer — and packaged the patterns as Enterprise Skills so the team could apply them independently to every new AI feature.
Existing infrastructure hit latency and cold-start issues when running agentic AI jobs. Each new AI feature required bespoke infra work.
Grafter redesigned the container orchestration layer for AI-specific traffic patterns and captured 6 reusable infrastructure Skills covering ECS, load balancing, secrets management, and Terraform IaC.
Packaged, tested, and left behind for the internal team to run and extend independently — no ongoing dependency on CodeVine.