This week, we want to talk about a type of work we’ve been doing increasingly often: FDE.
FDE stands for “Forward Deployed Engineer”—a model where the technical team goes to the client to integrate the product directly into their systems and processes, rather than waiting for the client to handle the integration on their own. In practice, this means ReveLumi stops being an isolated tool waiting for someone to trigger it and instead becomes part of the company’s operational routine: automatically and continuously pulling data, answering questions, and distributing surveys.
A recent example helps illustrate this. We carried out an NPS integration where ReveLumi reads and segments the company’s user base and sends out—at a paced cadence—invitations for users to provide an NPS score and explain the reasoning behind it. With these insights, the company makes better, faster decisions without needing to set up the process manually.
But database integration is just one possible avenue. We can also integrate ReveLumi with the company’s knowledge base, equipping the agent to answer any questions respondents might have during the survey itself.
Another avenue is integration via MCP. This provides access to the company’s preferred LLM (the one they already use internally) to analyze and ask questions directly about the conversation data generated by ReveLumi. This allows product and research teams to explore the data using their own AI tools, without relying on data exports or requesting on-demand reports.
These three approaches show how ReveLumi can evolve from a one-off tool into an integral part of the daily routine for companies that truly listen to their customers. If you’d like to talk to us about integrating ReveLumi’s research agent into your company’s workflows—whether to see how it can assist with NPS and CSAT measurement or to conduct in-depth qualitative research—simply book a time on our calendar.