About PreMetric

PreMetric exists to solve an institutional problem: the absence of structured decision frameworks for AI deployment under board accountability.

Why PreMetric exists

Organizations deploy AI initiatives without the decision infrastructure that governs strategic, financial, or operational commitments of comparable magnitude.

PreMetric provides the missing layer: structured, documented decision processes that create defensible records before irreversible commitments are made.

What PreMetric does

—Evaluates whether AI initiatives should proceed, be modified, or be stopped

—Produces documented recommendations with supporting decision records

—Creates materials suitable for board review and regulatory inquiry

—Operates before deployment, where decision leverage is highest

Organisational structure

PreMetric separates delivery, oversight, and assurance functions to preserve independence and methodological discipline.

Core Team

Delivery

--Decision methodology design
--Risk assessment & analysis
--Regulatory interpretation
--Documentation & deliverables
--Capital allocation analysis

Advisory Board

Oversight

--Methodology review
--Governance posture assessment
--Regulatory alignment checks
--Independence from delivery
--Periodic framework evaluation

Governance & QA

Assurance

--Internal quality standards
--Documentation audit trail
--Conflict of interest controls
--Decision framework consistency
--Evidentiary rigour checks

Structural separation

Advisory oversight is independent of delivery. Governance and quality assurance operate across both functions to maintain decision defensibility.

The Team

PreMetric is operated by a multidisciplinary team spanning capital allocation, enterprise risk, governance, and regulatory interpretation. Team members are selected for their ability to evaluate high-stakes decisions under scrutiny, rather than for AI system development or deployment.

Director, Decision Methodology

Catherine Aldren

Oversees the design and calibration of PreMetric decision frameworks. Ensures that evaluation criteria remain consistent across engagement types and defensible under external review.

Previously led enterprise risk methodology at a global reinsurer.

Head of Regulatory Interpretation

Marcus Heldmann

Translates regulatory requirements into operational evaluation criteria. Maintains alignment between PreMetric frameworks and evolving EU, UK, and international AI governance regimes.

Former regulatory affairs lead at a European financial services authority.

Senior Risk Analyst

Priya Nandakumar

Conducts quantitative and qualitative risk assessments across AI deployment scenarios. Identifies exposure concentrations that require board-level visibility.

Background in actuarial science and institutional portfolio risk.

Governance & Documentation Lead

James Whitford

Manages documentation standards and quality assurance across all deliverables. Ensures decision records meet the evidentiary requirements of board scrutiny and regulatory inquiry.

Previously managed governance documentation for large-scale infrastructure transactions.

Capital Allocation & Transaction Analyst

Sofia Eriksson

Evaluates AI initiatives through the lens of capital allocation discipline. Applies institutional investment standards to pre-deployment decision quality.

Former analyst at a Nordic institutional asset manager.

Advisory Board

PreMetric's Advisory Board provides independent oversight on methodology, governance posture, and regulatory alignment. Advisors do not participate in commercial delivery or operational decision-making.

DHL

Capital Markets & Transactions

Dr. Henrik Lund

Reviews decision frameworks for consistency with institutional capital allocation standards and transaction diligence expectations.

Former managing director at a European investment bank with oversight of structured transactions.

Regulatory & Compliance

Anne-Claire Dufresne

Provides oversight on regulatory interpretation, ensuring frameworks reflect current and anticipated compliance requirements across jurisdictions.

Former senior counsel at an EU regulatory body focused on digital services and financial regulation.

Enterprise Risk Management

Richard Okafor

Assesses whether risk evaluation methodologies appropriately capture operational, reputational, and systemic exposure from AI initiatives.

Previously chief risk officer at a multinational insurance group.

DMT

AI Governance & Ethics

Dr. Mei-Lin Tan

Reviews governance posture and ethical alignment of decision frameworks, with particular attention to proportionality and accountability structures.

Academic researcher in AI governance at a leading European university.

Public Sector & Institutional Oversight

Thomas Brennan

Evaluates whether frameworks meet the evidentiary and procedural standards expected by public sector institutions and oversight bodies.

Former director of institutional audit at a national government accountability office.

Governance Statement

PreMetric is structured to preserve independence, methodological discipline, and decision defensibility.

Delivery teams operate within a defined decision framework subject to internal quality assurance. The Advisory Board provides independent oversight on governance posture, regulatory alignment, and methodological integrity, but does not participate in commercial delivery or operational decision-making.

This structure ensures that PreMetric's work remains defensible under board scrutiny, regulatory inquiry, and transaction diligence, without creating conflicts of interest or ongoing operational responsibility.