LEA already works as a knowledge engine: it reads your launch guidelines and documents, answers in a chat, and connects to live dashboards. On top of that we build AI use cases for each client.
What are the AI possibilities in LEA?
The use cases below show how LEA can turn launch data into foresight, so teams react to market shifts sooner and decide with more confidence.
In a launch, information is everywhere but insight is rare. AI scans dashboards, reports and market inputs for emerging trends, risks and opportunities, so teams get synthesised insight in real time instead of waiting for manual analysis.
New hires and stakeholders learn how your company launches products from an AI that knows your data, decisions and history. Instead of searching documents or waiting for busy experts, they get context-aware guidance shaped by what has worked best.
Your company’s experience holds the blueprint for launch success. AI captures and structures best practices from past projects, so teams can compare strategies and learn from previous launches, and every launch builds on the last.
An integrated chatbot guides teams through launch activities, answers process questions and surfaces data from dashboards and knowledge bases, keeping every stakeholder consistent and aligned.
Power BI
LEA works together with Power BI, so you can embed your dashboards and share analytics with your stakeholders. The AI answers questions across the same data model behind those dashboards.
The AI features run in Microsoft Azure. Your data is never used to train models, and AI can be switched off for your organisation.
See it on your own setup
A 30-minute call or a demo request — whichever is less friction for you.