Deterministic decision intelligence for reinsurance portfolios

Context

Reinsurance governance depends on the consistent interpretation of heterogeneous loss assessments across portfolios, treaties and jurisdictions.

Differences in structure and reasoning depth often complicate audit preparation, portfolio oversight and internal decision justification.

BDA Genesis standardises how assessment outputs are translated into decision-relevant portfolio signals, without altering underlying technical, contractual or expert evaluations.

At portfolio level, governance rarely fails because of missing expertise.

It fails when individually sound assessments cannot be translated into a consistent, traceable portfolio logic.

This is the layer BDA Genesis explicitly addresses.

Key Characteristics

• Deterministic, rule-based decision preparation
• Portfolio-level traceability
• Explicit inference paths
• No replacement of contractual decisions

What BDA Genesis is

• A deterministic decision and governance layer
• A framework for traceable portfolio consistency
• A method to make inference paths explicit across heterogeneous assessments

What BDA Genesis is not

• Not a black-box model
• Not an automated claims decision engine
• Not a replacement for expert judgement or treaty logic

Typical use contexts

• Portfolio consistency reviews
• Treaty interpretation support
• Audit and revision preparation
• Governance and model validation discussions

Proof of Concept – portfolio governance evaluation

BDA Genesis should be tested where governance actually breaks: at the interface between heterogeneous assessments and portfolio-level decisions.

PoC structure

• Select a narrow treaty / portfolio slice and 2–3 recurring assessment archetypes
• Compare “before vs. after” traceability: can independent reviewers reconstruct the path?
• Produce portfolio signals with explicit provenance (which assessment elements drive which signal)

Deliverables

• Case-level trace packs (audit-ready)
• Portfolio governance summary (consistency gaps, variance drivers, review hotspots)

Measurement plan (governance KPIs)

Instead of claiming performance effects, BDA Genesis is designed to make them measurable.

Typical PoC KPIs

• variance reduction in assessment interpretation
• review effort and escalation frequency
• audit preparation friction (evidence completeness, traceability)
• consistency of portfolio signals across jurisdictions and suppliers

Case archetypes

When portfolio governance becomes fragile, the issue is rarely missing rules or expertise.

It is the absence of a consistent, traceable decision layer that connects individual assessments across portfolios, treaties and jurisdictions.

This question cannot be resolved conceptually.

If it is relevant to your portfolio governance, it needs to be discussed concretely.