Case Study
A closer look at how this system was designed, architected, and rolled out in production. Each section below captures one part of the delivery story—from scoping and UX to data pipelines, integrations, and ongoing operations.
Beam AI provides a framework for orchestrating specialised agents that each own a slice of a customer workflow. We helped design an agent specification that cleanly separates capabilities, tools, and guardrails so new agents can be added without rewriting the whole system.
Non-technical teams can stitch agents together into flows that react to events in CRMs, ticketing tools, and internal APIs. We added a declarative configuration layer so these flows are versioned, reviewable, and safe to roll back.
Because agents act on behalf of real users, authentication and authorisation are first-class concerns. We integrated single sign-on, per-agent credentials, and fine-grained permission checks so security teams can reason about exactly what each agent is allowed to do.
Interactive traces show each tool call, prompt, and model response. This makes it possible to tune prompts, adjust routing logic, and debug production incidents using the same interface that product and support teams share.