AI voice agents that talk to your people — surfacing what surveys miss and turning raw organizational knowledge into continuous insight.
The people closest to your operations, customers, and risks have the answers. But the systems designed to surface their knowledge — annual surveys, skip-levels, town halls — are too shallow, too distorted, and too slow to keep up.
Multiple-choice questions yield surface-level scores. They can't follow a thread, probe an insight, or uncover what people don't know to report.
Each layer of management filters, reframes, and softens. By the time an insight reaches a decision-maker, it's unrecognizable — or invisible.
Annual or quarterly pulses capture a moment. Organizations are dynamic — problems compound, opportunities close, and context changes between cycles.
Set themes for ongoing exploration — employee experience, operational friction, commercialization blockers, risk signals, employee pain points — or launch a targeted investigation into specific questions.
Voice agents conduct structured conversations with employees across your organization. They dig deeper with follow-ups, adapt over time, and use prior learnings to guide future conversations.
The platform synthesizes conversations into actionable intelligence — surfaced at the right level of the organization, with proposed actions to drive performance.
Conversation unlocks depth that checkboxes never will. People share more, explain more, and reveal what they wouldn't type into a text box.
Ongoing conversations replace annual snapshots. Problems are caught early, trends tracked over time, and actions taken before it's too late.
Go beyond engagement scores. Surface operational insights, commercialization ideas, risk signals, and competitive intelligence from the people who see it first.
No more months of design followed by months of analysis. The platform handles the operational lift end-to-end — so your team focuses on action.
We've studied how organizations think, built AI systems to augment them, and seen firsthand how decisions get made on incomplete information.
Founding member of Bridgewater's AI team. MIT PhD in AI for collective understanding. Built AI-driven voice interview systems to understand preferences at scale.
McKinsey consultant. Engineering leadership at Google and Meta. Ran the manual version of this process for Fortune 500 organizations. Built massive-scale AI systems.
If you lead a team and want deeper, continuous insight into what your people see — we'd love to show you how Auxum works.
Talk to us