Companies Urged to Build ‘LLM for Leadership’ to Unlock Real Value from Meetings Using AI

Organizations are being challenged to rethink how they conduct leadership meetings, as AI-powered solutions present an opportunity to transform routine discussions into strategic assets. By adopting what experts call a "Large Language Model (LLM) for Leadership", companies can finally bridge the gap between meeting time and meaningful outcomes.

Despite massive technological strides, many leadership teams still operate like ancient philosophers at the Agora — talking, reflecting, and taking notes, but failing to truly capitalize on the knowledge exchanged. In fact, a startling number of executives admit they do little to nothing with the notes taken in high-level meetings.

The problem? Meetings remain the primary forum for decisions, yet most organizations lack systems to capture and leverage the insights they generate. This leads to missed opportunities, wasted hours, and forgotten context — a costly oversight when senior leaders are involved.

Seattle-based Read AI CEO David Shim puts it bluntly: “When your most capable minds spend hours in meetings and outcomes depend on memory, you’re essentially running your business on Snapchat.”

The answer lies in using AI to build persistent knowledge repositories that go far beyond summaries. Modern tools can now extract insights, generate future agendas, and even filter decision-making to only those who need to be in the room. “Meetings become a searchable, mineable system of record that fuels organizational intelligence,” Shim explains.

To implement an LLM for Leadership, experts recommend:

Ending each meeting with clarity: Decide what was agreed upon, who owns follow-ups, and who needs to be informed.

Using centralized platforms to store meeting data in searchable formats.

Training AI tools over time with consistent meeting content to power smarter synthesis and faster insights.

Companies like Descript have already adopted this model, creating a “single source of truth” in their internal systems. By combining cultural documentation with AI tools, organizations are laying the groundwork for long-term scalability and strategic alignment.

Read AI takes this further by applying agentic AI — transforming ephemeral conversations into enduring intelligence. It even optimizes meeting frequency and size to ensure more time is spent doing, not just discussing.

The ultimate benefit? Velocity. When leaders have clear visibility, the entire organization moves faster and more confidently.

So, forwarding a generic AI-generated summary to your team? That’s just the beginning. The real value lies in building an intelligent system that evolves with your organization — a true LLM for Leadership.

As Shim says, “Saying ‘I’ve been in meetings all day’ isn’t a badge of honor — it’s a signal that something’s broken.” Fix it with AI.