It organizes the business as a system
Instead of separate tools for pipeline, production, treasury, QA, and client follow-up, the company is visible in one operating surface.
Org Board AI
Org Board AI is a local-first command system for running a company across divisions, handoffs, battle plans, AI agents, skills, memory, and execution.
Instead of separate tools for pipeline, production, treasury, QA, and client follow-up, the company is visible in one operating surface.
The AI layer is grounded in services, division scope, memory logs, skills, battle plans, and live workflow state.
Executive intent becomes orders, tasks, plans, and division actions instead of staying trapped in the founder’s head.
The system is built around visible handoffs. Each division owns a distinct part of the lifecycle and passes state forward.
Most business chaos comes from invisible transitions. Org Board AI makes the next owner and the next state explicit.
An executive control layer that can see pressure building before the damage shows up in clients, delivery, or cash.
Agents are not disconnected toys. They can create tasks, write battle plans, post advisor updates, and log memory into the same system humans use.
General agents are visible across the org. Division agents stay scoped to the division unless executive command promotes them.
They scan context, create concrete actions, add operational plans, and write updates back into advisor conversations.
Skills are reusable operational knowledge blocks. The AI loads the most relevant ones semantically for the current question or division.
Memory logs persist operational facts, decisions, and context, then use embeddings to retrieve what matters later.
It keeps AI responses grounded in your actual operating practices instead of generic advice from an empty chat window.
Daily, weekly, monthly, and yearly plans give each division a visible operating rhythm instead of ad hoc decision making.
Training modules and SOP-oriented content help teams standardize how work is done and improve execution quality over time.
The app includes an embedded local runtime path and model download flow so intelligence can stay close to the machine and the work.
macOS and at least 8GB RAM. This is the minimum requirement to run the beta properly with the local AI experience.
Install the current macOS DMG and open the app on a machine with at least 8GB RAM.
The website introduces the product. The real onboarding and account creation happen in the product itself.
Configure the business identity, service catalog, and division context so the board and AI are grounded in real operating data.
Run handoffs, plans, AI support, agents, metrics, and follow-up from the same system instead of splitting them across tools.
Install the app, create the account inside it, and start turning the business into a visible machine.