Building a financial model from scratch typically takes days, and depends on the one or two people on the team who know how it's built. In this session, we'll show how the Modeler Agent changes that equation: describe the model you need in plain language, and watch it come together in real time, formulas included.
We'll demo creating a planning model from a single natural-language instruction, plus pattern-based AI forecasting that adapts to your data. What used to take three manual steps now takes one conversational instruction, no specialist modeling expertise required.
Relevant for your team because: model-building has always been specialist work that creates a bottleneck around one or two people. The Modeler Agent opens that process up to anyone on the team, without sacrificing rigor.
Like all Lucanet workflow agents, the Modeler Agent runs on Lucanet Lume, the conversational layer that connects you to the right agent with a single question, and on Lucanet's Intelligence Core, the trust architecture behind it. That means your data stays in your chosen region, every action is logged, and your team reviews and approves every output before it's finalised.