From Manual Tasks to Serverless Workflows with AI

Many business processes combine deterministic steps (validate data, move files, notify systems) with steps that require interpretation (read an email, extract fields from a PDF, draft a summary). Serverless + AI makes it possible to orchestrate both without maintaining idle servers.

Step Functions models the flow as visible state: each step has input, output, and error handling. Lambdas run lightweight logic; model calls are encapsulated with retries, circuit breakers, and cost limits.

A pattern we repeat: trigger (S3 event, webhook, queue) → data normalization → decision (does it need AI?) → downstream action (ERP, Slack, email) → logging in a data warehouse for analytics.

Workflow observability is as important as automation. Dashboards with duration per step, failure rates, and cost per execution allow optimization before the process becomes a black box.

We start with a scoped pilot—one department, one document type—and expand when metrics demonstrate consistent time savings and quality.