veriscopicInfrastructure for defensible decisions

Research

The ReconstructionPapers

Research, field observations and working definitions examining what happens to decision context over time — and what organisations must preserve if important decisions are to remain intelligible, verifiable and replayable.

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Four ideas at the centre
of the research.

Definition

Decision-State

The evidence, authority, rules, system conditions and human context that existed when a decision was made.

Decision-state asks a simple question: “What would someone need later to understand the decision as it actually happened?”

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Economics

The Reconstruction Economy

Why organisations repeatedly spend time and money rebuilding the context surrounding decisions they have already made.

The paper examines reconstruction as an operational cost: evidence retrieval, people involved, systems touched, elapsed time and the loss of confidence that occurs as decision context fragments.

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Practice

Logs vs Replayable Evidence

Recording activity is not the same as preserving a decision.

Logs may show that something happened. Replayable evidence preserves enough of the relevant state to understand the conditions under which it happened.

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Standard

The Verifiable Evidence Standard

A published standard for preserving consequential decision evidence so it can remain portable, independently verifiable and intelligible beyond the systems that originally produced it.

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The field programme

Built from operational reality.

Veriscopic’s research programme examines how insurance organisations preserve, lose and later reconstruct the context surrounding important decisions.

The work draws on conversations with practitioners across claims, underwriting, delegated authority, operations, risk and governance.

The objective is not simply to study how decisions are made.
It is to understand what must survive after they are made.

01

Field observations

Patterns observed when organisations need to explain, review or defend decisions after the original context has fragmented.

02

Practitioner interviews

First-hand insight into authority, evidence, hand-offs, systems, human judgement and the practical work involved in reconstructing decisions.

03

Measurement

Developing ways to quantify reconstruction frequency, staff effort, systems touched, elapsed time and the resulting operational cost.

04

Working definitions

Creating precise language for operational problems the industry experiences but has not consistently measured or named.

What we are investigating

From reconstruction
to replayability.

A recurring question sits behind the research:

“Why reconstruct important decisions later if enough of their state can be preserved when they occur?”

That question leads to several areas of investigation:

  • where decision context fragments
  • which parts of decision-state actually need to survive
  • how little evidence can be preserved while retaining intelligibility
  • how authority and responsibility move across organisations and systems
  • where humans, rules and AI contribute to the same outcome
  • how reconstruction burden can be measured
  • when an audit trail is insufficient for meaningful replay
  • how decision evidence can remain independently verifiable as underlying technology changes

The aim is to develop an operational model for preserving what matters rather than reconstructing everything later.

Emerging concepts

A developing vocabulary
for replayable decisions.

01Reconstruction Burden
The operational cost of rebuilding the evidence, authority and context surrounding a decision after that context has fragmented.
02Reconstruction Ratio
The proportion of decisions within a workflow that subsequently require meaningful reconstruction, retrieval or explanation.
03Decision Assurance
Confidence that an important decision was made under documented authority, evidence and operating conditions — and that those conditions can later be demonstrated.
04Decision-State
The relevant conditions that existed at the point of decision: evidence, authority, rules, policy state, system state, model context, human intervention and outcome.
05Minimum Viable Decision State
The smallest sufficient set of decision-state elements that must be preserved for a particular class of decision to remain intelligible and replayable later.
06Replayability
The ability to understand and verify a decision later from preserved decision-state rather than reconstructing its context from fragmented sources.

The research direction

Preserve what matters.

Insurance workflows increasingly span people, legacy systems, outsourced partners, rules engines and AI.

The research therefore does not assume that important decisions occur inside one system. Instead, it asks how evidentiary continuity can be maintained as responsibility and context move across:

  1. People
  2. Systems
  3. Models
  4. Organisations
  5. Time

This is the foundation of what Veriscopic describes as a Chain of Confidence.

The objective is not to preserve every event. It is to identify and preserve the minimum decision-state needed for the decisions that matter.

Press & media

Coverage, published thinking
and company news.

Visit Press & Media for selected external discussion, contributed articles and clearly identified company announcements.

Contribute to the research

Where does reconstruction
happen in your organisation?

We are speaking with practitioners working across claims, underwriting, delegated authority, operations, risk and governance.

If you regularly encounter decisions that later require people to recover evidence, establish authority or reconstruct what happened, we would like to hear about the workflow.