Template · Case study
Vertical slice for an AI-assisted workflow
Replace this narrative with a real client story when you can share it publicly. Keep the same sections so every case feels consistent and scannable.
Problem
Product needed to automate a high-touch review step without sacrificing quality. Generic chat UX was off the table—operators needed traceability, rollback, and SLAs that matched an existing internal tool.
Approach
Discovery workshops with PM and platform leads; thin slice scoped to one workflow with clear acceptance tests. Model choice driven by latency and evaluation harness—not vendor hype.
Stack (illustrative)
Python services, vector store where retrieval applied, React internal UI, REST + event pipeline, Terraform for infra, OpenTelemetry for traces—deployed on the customer's cloud account with least-privilege IAM.
Outcome
First slice to staging in weeks; measurable reduction in manual review hours; monitoring and runbooks handed to the internal team with a documented path to expand to adjacent workflows.
"We finally had an integration partner who spoke both ML and production—the demos matched what hit our VPC."