Agentic OS exploration
Most small companies run on human clicks across software. OPENSKL is exploring an agentic operating system based on a unified cockpit interface, moving all SaaS tools into the background. We are sharing our field guide on this thesis, written for business owners and AI enthusiasts.
AI doesn't understand your company
AI is insanely powerful at executive precise tasks or complex workflows. But it cannot scale horizontally as it lacks a unified and up to date model of the company.
Business owners know they should be using AI, but they often don't know where to start. Chat bots are not enough, and building custom agents is out of reach.
We propose a new vision based on an agentic OS with a unified cross-systems interface and the capacity to assist your operating a company end-to-end.
An horizontal solution where AI finally gets it
We will stop operating companies through disconnected SaaS interfaces. Instead, work will happen through a single agentic cockpit where AI agents execute intents across tools in the background, powered by company-wide memory and governed autonomy.
Cockpit
The one place to monitor, decide, and act across the work of the company.
Memory
The company-wide context layer: facts, decisions, history, and procedures.
Agents
The execution layer that reasons, plans, assists and acts across systems.
Governance
The rules deciding what agents can do autonomously or with approval.
Gateways
SaaS tools do not disappear. They move in the background behind gateways.
Audit
The auditing layer that ensures transparency and accountability.
SoR
The system of record that maintains the authoritative source of truth.
Five hard problems that must be solved
Company memory
Facts, priorities, decisions and processes must be accessible to agents.
Read →▲ PROBLEM-02Security & containment
Giving agents access to everything is a massive security challenge.
Read →▲ PROBLEM-03Latency & User Experience
Complex workflows and interactions lead to UX inefficiencies.
Read →▲ PROBLEM-04Human-in-the-loop
Equilibrium between human oversight and AI autonomy is extremely difficult.
Read →▲ PROBLEM-05Migration challenge
Moving to a new paradigm can create multiple concurrent realities.
Read →Exploring the new paradigm of Agentic OS
We have written a paper to set out the thesis, architecture, and hard problems that must be solved to achieve our vision of a fully AI integrated company.
Interested by Agentic AI?
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What's next ?
We are building the different layers of our agentic operating system and testing it in house. We plan to open source core components such as the company memory, gateways and governance modules.
We are also experimenting with AI agents trained on hundreds of hours of coaching sessions accross multiple categories to supercharge agentic operations with expert advice and best practices.
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