Keeping legitimate human authority present where AI-supported processes move into consequence
Warrentor helps keep legitimate human authority structurally present where AI-supported analysis moves into real-world consequence.
Built for high-consequence environments across sectors, vendors, models, and legal regimes.
Most AI governance is presented as a digital, model, or system-layer problem. That matters. But it is not the whole problem.
That is the gap Warrentor addresses.
High-profile failures across government, law, and enforcement keep showing the same underlying pattern: system-led processes moving into consequence without sufficiently meaningful human authority, review, or accountability.
UK Post Office Horizon
System-led outputs hardening into consequence while meaningful correction fails.
Dutch Childcare Benefits
Administrative systems driving severe harm beyond meaningful human oversight.
Australia’s Robodebt
Formal process coexisting with deep accountability failure.
Western Australian AI Seatbelt Cameras
Surface compliance still leaving practical gaps once automation reaches penalty and review.
This is not about resisting AI. It is about ensuring that AI remains decision support, not decision substitution.
Warrentor is being developed as a licensable governance offering supported by publications, companion material, training, implementation guidance, bridge documents, and benchmarking tools.
Human-led AI
A strong visual reminder that AI may assist, but legitimate authority must remain human where consequence begins.
Pilot implementations
Warrentor is currently open to carefully selected pilot implementation discussions with suitable organisations operating in high-consequence decision environments.
About
Warrentor is focused on one of the most difficult questions emerging in AI governance: how legitimate human authority remains structurally present when AI-supported processes move from analysis into consequence.
What Warrentor is
The work is built around a governance approach designed for high-consequence environments, where accountability, decision control, and authority cannot be left to assumption, convenience, or system output.
Warrentor is jurisdiction-neutral, technology-agnostic, and product-agnostic. It is designed to operate alongside existing laws, standards, platforms, vendors, models, and sector-specific controls.
This is not a software pitch in the ordinary sense. Nor is it another generic responsible AI framework. Warrentor addresses the human-led governance layer required where real-world outcomes begin.
Commercial direction
The work is being developed as a licensable governance offering, supported by companion material, training, implementation guidance, bridge documents, and benchmarking tools.
The goal is practical deployment in environments where decision integrity, review, and meaningful human authority matter.
Publications and supporting material
- The AI Non-Delegation Doctrine
- SSRN publications supporting the doctrine and its scholarly positioning
- A detailed Companion Book explaining the doctrine and its practical application
- Bridge documents to the EU AI Act and the USA HSS / OMB M25-21 compliance architectures
- A Capstone Training Suite for applied understanding and deployment
- Implementation guidance and supporting material
Additional development
- The ADBC benchmarking tool currently under development
- Commercial development through licensing, training, and pilot implementation
Selected SSRN publications
The Problem
Many organisations now recognise the need for AI governance. Most responses focus on model controls, transparency, policy, oversight, documentation, auditability, or compliance settings. Those things matter. But they often leave a more difficult problem unresolved.
The harder questions
When an AI-supported process moves into approval, refusal, escalation, penalty, recommendation, ranking, or other real-world consequence, it is not enough to ask whether the system performed as designed.
- Who actually held authority at that point?
- Was that authority identified?
- Was that person qualified?
- Could they intervene in a meaningful way?
- Or had authority already drifted into process, policy, automation, or system output?
Why the gap is missed
AI governance is usually framed as a problem of systems, models, and compliance artefacts. Less attention is given to what happens when consequential authority becomes structurally hollow while still appearing to remain human.
Different systems, different jurisdictions, same recurring weakness: consequence arrives, but meaningful human authority is thin, absent, nominal, or too late.
The Solution
Warrentor addresses the governance layer that must remain intact when AI-supported analysis moves into real-world consequence.
Purpose
To ensure that AI remains decision support rather than decision substitution.
What Warrentor preserves
- identified and qualified human authority
- decision control at the point of consequence
- accountability that remains real under pressure
- governance that continues to function when AI is embedded into workflow
What this means in practice
- where the consequence boundary actually sits
- who must hold authority at that boundary
- how that authority is preserved and evidenced
- how escalation, review, refusal, and intervention remain meaningful
- how apparent compliance can still fail if authority has already dissolved
Designed to work alongside existing systems
Warrentor is designed to operate alongside existing laws, standards, organisational controls, and technical systems. It is not dependent on one vendor, one jurisdiction, one model type, or one software stack.
Intended environments
Warrentor is intended for use in high-consequence environments, including government, defence, legal, financial, infrastructure, utilities, healthcare, and other settings where decision integrity matters.
Contact
For enquiries regarding governance, collaboration, speaking, pilot implementation, or commercial discussions, please make contact.
Direct contact
Name: Frank Schouten
Business: Warrentor
Phone: +61 (0)427 383 548
Email: frank@warrentor.com
Website: www.warrentor.com
Pilot implementations
Warrentor is open to carefully selected pilot implementation discussions in suitable high-consequence environments.
The focus is on practical deployment where decision integrity, accountability, and meaningful human authority matter.