New initiative will examine the time, people, systems and cost involved when insurers must reconstruct how consequential decisions were made.
LONDON, GREATER LONDON, UNITED KINGDOM, August 25, 2026 /EINPresswire.com/ — Veriscopic, a company developing replayable decision-state infrastructure for insurance, has launched an industry initiative to measure an often overlooked operational cost: the burden of reconstructing consequential insurance decisions after they have been made.
Across underwriting, claims, delegated authority and increasingly AI-assisted workflows, organisations routinely need to revisit historical decisions.
A claim may be challenged. An underwriting decision may require review. A delegated authority file may be audited. A complaint, regulatory enquiry, litigation or reinsurance discussion may require an organisation to demonstrate not simply what happened, but why a particular decision was reasonable given the information available at the time.
The outcome is often recorded.
Reconstructing the decision-state behind it can be considerably harder.
Evidence may be distributed across policy administration systems, claims platforms, emails, documents, spreadsheets, model outputs, approval workflows and individual recollection.
Veriscopic describes the resulting effort as reconstruction burden: the collective time and operational cost required to rebuild the context surrounding a historical decision.
The company is now seeking to measure that burden across real insurance workflows.
The initiative will examine factors including:
how frequently historical decisions need to be reconstructed;
how many people become involved;
the collective hours required;
how many systems and evidence sources must be consulted;
the elapsed time required to establish the decision context; and
how much of that effort could potentially have been avoided if the relevant decision-state had been preserved when the decision occurred.
The work builds on a simple premise: insurance organisations invest heavily in making good decisions, but may subsequently incur significant additional cost proving how those decisions were made.
That problem could become more significant as decision-making becomes increasingly distributed between people, rules, models, external data and AI-assisted systems.
“Insurance is very good at recording outcomes, but an outcome and the evidence behind a decision are not the same thing,” said Drew Young, Founder of Veriscopic. “When a decision is questioned months or years later, organisations can find themselves rebuilding the surrounding context from multiple systems and fragments of evidence. We want to understand what that reconstruction actually costs.”
From Audit Trail to Decision-State
Veriscopic is developing infrastructure designed around the concept of decision-state.
Rather than relying solely on historical logs or attempting to recreate context retrospectively, decision-state preservation captures the material conditions surrounding a consequential decision when it occurs.
Depending on the workflow, that can include the information available, applicable authority, rules and policy state, relevant model or system versions, recommendations, human interventions, approvals, exceptions and resulting outcome.
The objective is to make consequential decisions replayable later — allowing an organisation to establish what was known, what occurred and under what conditions without reconstructing the entire decision from scratch.
This is distinct from simply creating more records.
The question is whether the evidence required to understand a decision remains coherent and usable when that decision is subsequently questioned.
Measuring Reconstruction Burden
As part of the initiative, Veriscopic has developed an initial Operational Reconstruction Exposure Calculator to help insurance organisations begin estimating the operational burden associated with historical decision reconstruction.
Veriscopic intends to use findings from workflow assessments and industry discussions to develop a more robust empirical picture of reconstruction burden across insurance.
The company is particularly interested in workflows involving claims, underwriting, delegated authority, reinsurance and AI-assisted decision-making.
Drew added:
“As insurance adopts more AI, the question will not simply be whether an organisation can produce an audit trail. It will increasingly be whether it can demonstrate the state in which a consequential decision was actually made. Replayability turns that from a retrospective investigation into an infrastructure problem.”
Insurance professionals interested in contributing a workflow or exploring their organisation’s reconstruction exposure can learn more through Veriscopic.
About Veriscopic
Veriscopic develops replayable decision-state infrastructure for insurance.
Its work focuses on preserving the evidence surrounding consequential decisions so that insurers, reinsurers, MGAs and other insurance organisations can understand and replay the state in which a decision was made whenever it is subsequently questioned.
Veriscopic is exploring applications across claims, underwriting, delegated authority and AI-assisted insurance workflows.
Website: veriscopic.com
Drew Young
Veriscopic
hello@veriscopic.com
Visit us on social media:
LinkedIn
Legal Disclaimer:
EIN Presswire provides this news content “as is” without warranty of any kind. We do not accept any responsibility or liability
for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this
article. If you have any complaints or copyright issues related to this article, kindly contact the author above.
Media gallery
