Brand teams at a multinational consumer health company, whose household-name hygiene, health, and nutrition products sell in more than 60 countries, could not get business intelligence answers without filing engineering tickets or waiting on analyst queues.
The company's prior AI usage amounted to raw API requests to LLMs, leaving a large gap between ambition and practice. The screen the team most wanted to automate turned out to depend on nearly 20 separate data workflows.
Lazer built agent flows on the Retool Agents framework over the client's Databricks data layer, letting brand teams run analytical workflows and surface insights on demand. Lazer also simplified the SQL behind nearly 20 workflows into an agent-callable form and shipped an agent development guide plus a POC breakdown so the client's team could build the next agents.
A three-week engagement (one week discovery, one week build, one week iteration) delivered a production agent, not a slide deck about one.
Brand teams across the company's global portfolio now pull BI answers on demand instead of joining an analyst queue.
The dependency web behind the target dashboard was simplified into agent-callable SQL, and the accompanying guides let the client's team extend the pattern without Lazer.
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