The AI-powered knowledge and productivity layer for your team. Captures what your company knows. Surfaces it when it’s needed.
Working with our first teams. One conversation to start.
Meetings with no outcomes. Knowledge trapped in someone’s head. New hires taking months to ramp. The same question answered twelve times. None of this is a training problem. It is a knowledge infrastructure problem.
Joins every call. Surfaces relevant past decisions in real time. When the call ends, it processes the transcript and delivers a structured MOM with action items to Slack before the next meeting starts.
Employee asks a question in Slack or Teams. The agent classifies it, retrieves from the knowledge graph, and responds with a grounded answer and sources in seconds.
When someone leaves or changes roles, the agent reviews what they own and conducts a guided AI interview. Structured knowledge articles published before their last day.
New hire added to the system. The agent queries the knowledge graph and builds a personalised 30-60-90 day ramp plan with context, key contacts, and past decisions. Delivered before day one.
Before a decision is made, the agent surfaces every relevant past decision: what was decided, when, by whom, and what happened. Contradictions flagged before they become problems.
Every morning: today’s meetings with context, outstanding action items, and new knowledge added overnight. In Slack or email before the working day starts.
Continuous analysis across the knowledge graph. Surfaces repeated questions, knowledge gaps, bottlenecks, and at-risk knowledge holders. Weekly summary for managers and leadership with the top productivity signals across their team.
“We stopped losing institutional knowledge the day someone resigned.”
It listens, pulls relevant context from the knowledge graph, and surfaces it during the meeting. When the call ends, it processes the transcript and delivers a structured MOM with decisions and action items assigned to owners.
Employee asks a question in Slack or Teams. The agent classifies it, routes to the right area of the knowledge graph, and returns a grounded answer with sources. If confidence is low, it flags the domain owner.
When employees leave or change roles, the KT engine interviews them and publishes structured articles before their last day. New hires get a personalised ramp plan from real company knowledge before day one.
The Team Intelligence Dashboard tracks repeated questions, knowledge gaps, bottlenecks, and overdue action items. Weekly summary surfaces the top signals across every team.
Every agentic flow has a human checkpoint. MOMs are reviewed before they are logged. Knowledge articles are approved before they are published. Ramp plans are signed off before they reach the new hire.
The agent handles retrieval and synthesis. Judgment stays with you.
Managing knowledge, decisions, and team effectiveness at scale. Ultrateam makes the whole system visible and actionable.
“Our new hires are productive
in week two now, not week eight.”
Confluence, Notion, Otter, Slack bots. Each solves one piece. None of them connect. None of them get smarter over time.
One team. 30 days. The meeting bot is running, the knowledge graph is building, and your first KT capture is done.