Leads strategic direction and funding. Experience in public-sector transformation, compliance and institutional technology adoption.
Explainable decision infrastructure for regulated teams
Built for HR, compliance, legal, and risk teams in public institutions, banks, insurers, and law firms.
How we combine deterministic and generative
A layered approach: generative for summarisation, deterministic for rules, human for approval.
Deterministic Rule Engine
Same inputs → same outputs. Every decision is traceable to a policy ID. No hallucinations, no probabilities.
Generative AI (LLM) for drafting
Purely generative black-box outputs can be difficult to justify, audit and operationalise in regulated decision workflows. We use generative AI only for summarisation and draft narratives — never for final decisions.
Governance Pipeline
Unidirectional, deterministic, fully auditable. Every step is logged and versioned.
System Components
Modular, API-first, deployable in air-gapped environments.
Structured Reasoning Engine
Deterministic, transparent, version-controlled. Predictable outputs for policy execution.
Immutable Audit Trail
Append-only logs, cryptographically signed. Tamper-evident by design.
Human-in-the-loop Gate
Mandatory review and override with justification. Designed to support compliance governance.
Embedded Fairness Checks
Reproducible checks at decision points. Configurable to your fairness definition and policy.
Legacy Integration
REST API compatible with EZD, SAP, and existing case management systems.
Data Sovereignty
Can be deployed on your infrastructure – VPC, on-premise, or air-gapped. Designed for zero data egress.
People & Practice
The team behind explainable reasoning systems for regulated environments.
AdminLab.ai brings together administrative science, legal reasoning and AI engineering to deliver explainable decision flows for HR, policy, compliance, legal and risk teams.
AdminLab.ai was founded to support traceable and fair decision-making in practice.
Initiated and funded by Mike. The goal: not another black-box model, but a structured reasoning engine that institutions and regulated firms can inspect, audit and improve.
Founding team
Interface of administrative science, procedural fairness and policy design. Contributed work nominated for European Ombudsman Award 2025/2026.
Designs structured reasoning architectures, implements logic flows for audit, reproducibility and institutional oversight.
Extended contributors & collaborators
Legal & Compliance
Case and policy analysis, mapping legal provisions into structured criteria, edge cases and exception handling.
Research Partners
Academic and practice-based collaborators who stress-test reasoning chains and align models with emerging XAI standards.
Operational Support
Coordinates implementation with partners, manages feedback loops from prototype to operational use.
Explainability-first reasoning models
Treating explainability, reproducibility and fairness as primary design constraints, not afterthoughts.
From narrative rules to explicit steps
Translate policies, legal texts and guidelines into explicit decision steps with clear conditions, thresholds and references.
Same inputs, same outputs
Reasoning flows designed to be deterministic. Enables consistent application of rules and reliable re-analysis of past decisions.
Decisions come with a trace
Each decision logs which steps were evaluated, which conditions were met, and which policy references were applied.
Co-designed with practitioners
Models iterated with HR, compliance, legal and risk teams to reflect real workflows and the institutional understanding of fairness.
How the work has evolved
"Independent challenge is a feature, not an obstacle."
AdminLab.ai is designed to operate under internal and external regulatory scrutiny. Logs reconstruct how a decision was reached; documentation ties rules back to originating policies.
Designed for regulatory oversight & accountability
Combining administrative science, legal reasoning and AI engineering into a framework prioritizing explainability, auditability, and institutional trust.
European Ombudsman Award
Nominated for Good Administration Award 2025–2026. Grounded in established administrative standards and legal reasoning.
EU AI Act governance posture
Designed to support high-risk governance needs: documented rules, human oversight, auditability, and controlled deployment.
Resources & technical documentation
In‑depth materials for your due diligence and implementation planning.
Deterministic rule engine, audit trails, human‑in‑the‑loop – full architecture overview.
Request accessUse cases, methodology, and institutional benefits – concise overview for stakeholders.
Request accessStep‑by‑step guide for procurement, integration, and governance readiness.
Request accessProcurement & due diligence pack
Download key documents for your procurement, legal, and security teams.
Ready to deploy within your organisation?
We welcome conversations with HR, policy, legal, compliance and risk teams. Let's discuss your context and requirements.
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Terms of Use
This website is provided for informational purposes only. AdminLab.ai software is offered under separate enterprise agreements. By using this site you agree that no client relationship is formed. Jurisdiction: Warsaw, Poland.
GDPR Compliance
AdminLab.ai is designed to support compliance with the General Data Protection Regulation. In a typical deployment, we act as a processor and our customers remain controllers — the exact arrangement is defined in each enterprise agreement. Our DPO can be reached at dpo@adminlab.ai.