Thilo and I worked on the same consulting project. We did over 70 stakeholder interviews, then had to manage the stakeholders during implementation, which meant aligning the same people over and over. In the nights we went running a lot in that time. On one of those runs we started asking what if we automated the whole thing. An AI would be strictly better at every step. It asks better questions because it has heard the other interviews, it analyzes with all the context, and it can go back a month later and ask again.

Every big decision in a company is a choice between alternatives. The alternatives you see depend on the context you have. The context that matters most, how the work is done and where the problems are, sits with thousands of employees and never reaches the people who decide.

If we succeed, that context reaches them. Every employee talks to Sona8, and Sona8 plugs into the ERP, the HR system and the ticketing tools. Together that is a live map of how the company runs, and far more than any team can read. The hard part is finding, out of all of it, what matters for one question, and then adding the atomic insights and the judgment. This way, transformation, strategy and consulting teams operate far leaner and faster. Three people steer a program across 20,000 employees.

On top of the map we build a synthetic layer of employees. Before a decision, you run it against that layer and see what it does across sites and teams.

The same map is the enterprise context layer for AI agents. Before an agent changes a process, it reads how that process is done today and by whom. Sona8 is where that map lives.