Tri-Force's AI Fasiri intervenes live when meetings drift

Tri-Force's pitch rests on a deliberate distinction: past meeting-efficiency efforts centered on shortening meetings, cutting attendees and speeding up minutes, but the company argues that a shorter meeting is not necessarily a more valuable one if the needed discussion and decisions never happen. Its stated target is therefore "meeting quality" — discussion that follows the meeting's purpose, reaches decisions and carries them into action.

The product's structure reflects that aim. Before a meeting, the AI helps clarify the purpose, goals and agenda through dialogue; during the meeting it transcribes, summarizes and structures remarks so late joiners can catch up, and it compares the discussion against the preset agenda to judge whether it has wandered. Afterward it generates minutes, organizes decisions with owners and deadlines, and distributes them under preset rules.

Tri-Force says the design draws on facilitation know-how from management and project meetings at large companies, and on experience from its corporate generative-AI training and AI Booster tool-development business. It also frames the accumulated meeting data as a way for companies to review how meetings were run and what decisions they produced, rather than rating meetings with a simple score.