Lisa Intel - A Global Runtime Governance Layer for Autonomous AI

Sweden

Building an independent runtime governance layer that enables organizations to deploy autonomous AI with authorization, human oversight, auditability and cross-model governance.

Endorsed by+3

Building an independent runtime governance layer that enables organizations to deploy autonomous AI with authorization, human oversight, auditability and cross-model governance.

Endorsed by+3

Project Details

AI systems make more and more qualified and complex desicions, take own actions and interact in the real world. Still, most AI safety solutions today focus on individual models or agents, I believe that we also need independent safety solutions. In part because we cannot trust to 100% that the companies building these models and agents always will succed with their safety and in part because many builders of models and systems might not care about safety, especially if they for instance are rogue actors.

This project aims to develop a model-agnostic runtime governance platform/system, which operates between AI systems and the environments where they act. The system is designed to authorize actions, allow human oversight, maintain auditability and support accountable deployment across different AI models and organizations.

The long term vision for my system is that it would become a global governance layer that can coordinate safety in the use of advanced AI models working in different sectors and jurisdictions, independent of who the provider is. A simple way to describe the idea is comparing it to the role of the common internet protocols when the internet started.

During the project time I will continue to develop the system, carry out adversarial testing, improve the runtime governance capabilities and validate work and approach with researchers and enterprise partners. The goal being a working research prototype which demonstrates how advanced autonomous AI systems can work under independent, external governance.
Today I've received interest from a research group at a known US University that is interested in testing my system. I'm writing a project proposal to send to them. No funding for this yet though. I can give more info in private messages.

Theory of Impact

I believe making individual AI models safer is necessary, but will probably not be enough. As AI systems become more autonomous, we also need independent governance that is not controlled by the same organizations building the models.

My view is that reducing catastrophic AI risk will require several independent safety layers. Runtime governance can provide authorization, human oversight and auditability across different AI models, organizations and jurisdictions, regardless of who developed the underlying system.

If Lisa Intel succeeds, I hope it can become part of a global governance layer that helps societies deploy increasingly capable AI systems more safely, while maintaining accountability and meaningful human oversight.

People

Pedro Bentancour Garin

Team Member

Funding Details

Start Date: Aug 15, 2026
End Date: Dec 31, 2026
Expected Duration: 6 months
Funding Raised to Date: -
Annual Budget: -
Monthly Burn Rate: -
Current Runway: -
Funding Goal: -
Funding Stage: Seeking first grant
Fiscal Sponsor: -

Grants Received– no grants recorded

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Funding Asks

Support a project for an AI agent control mechanism

Open

Startup Sprint funding for: Global runtime governance layer for autonomous AI agents.

Minimum

$5,000

Ideal

$5,000

What this ask is

My startup, which is building an external control, governance and safety layer for autonomous AI agents - to solve the problem of AI agents going rogue as we've seen in many cases lately - has been accepted to an exclusive startup sprint in London. This will help me to accelerate the project and could also lead to further investments to scale the company and our system. To participate in the sprint I need 5000 usd. As I'm bootstrapping my startup, I don't have this amount and ask for funding.

I have developed the system and applied for four international patents.

In case anyone would be willing to support my project for a longer runway, you're welcome to message me.

Theory of impact

By building an external control layer for AI agents, we set a constraint to who, what, why, how, where and when an agent is allowed to make decissions and act. This would avoid incidents of the type we've seen lately, where agents run wild and behave in unintended and sometimes dangeroys ways. In the long run a system like mine could keep humanity safe from rogue AI models and agents.

How the money will be spent

The funding would be used for the sprint fee, travel and liviig expenses. The sprint is in London and I live in Sweden.

Discussion

Pedro Bentancour Garin2mo

Happy to answer any questions or share more info. This project is about AI governance and AI safety, although it isn't reflected in the #codes for some reason.

EElla JohnsonEndorsement2mo

I've followed Pedro's work for a while and want to endorse this project.

NNathalie BentancourEndorsement2mo

A promising approach to building safer and more accountable autonomous AI. Wishing Pedro success!

NNilsEndorsement2mo

I support this.

Pedro Bentancour Garin1mo

An update: I'm discussing a joint application for a research grant together with the Department of Electrical and Computer Engineering at the University of Florida. We are discussing project structure, partner roles and UF’s contribution. The proposed project would test Lisa in realistic multi-agent and multi-principal environments, including scalability, latency, partial adoption and the ability to prevent or attribute unauthorized actions across trust boundaries. This would give us an external technical test environment, independent evaluation. A decision for a grant takes around 6 months, so my ask for a grantmaking grant is still important. Now also as a bridge, until the research grant might arrive.