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The Bordereaux Bottleneck: Why reporting is still the industry’s biggest drag

Bordereaux reporting remains a major drag on the delegated authority market, with manual, inconsistent processes delaying data, restricting capital flow and undermining trust across MGAs, carriers and reinsurers. The solution lies in real-time, automated data infrastructure that transforms fragmented reporting into a connected, transparent and scalable system. In conversation with Scott Quiana, CEO of Noldor, we discuss how the company is building infrastructure to remove bottlenecks, restore confidence and enable the program insurance market to grow with greater speed and precision.

Introduction

In program insurance, few words carry more weight, and more baggage, than “bordereaux.”

For decades, bordereaux reporting has been the default method of communicating performance between MGAs, carriers, TPAs and reinsurers. What was once a simple way to share policy and claim level data has become one of the most persistent sources of operational friction in the entire delegated authority model.

Despite growing investment in digital tools, standards like Lloyd’s V5.2 and the promises of insurtech, the industry is still reliant on manual reporting workflows.

Inevitably, the bordereaux process is a structural bottleneck and it’s one of the key reasons why the program market remains inefficient and difficult to scale.

The hidden cost of manual reporting

Ask any carrier, reinsurer or MGA working with program business what their biggest pain point is, and “data reconciliation” is likely in the top 3.

At the center of that pain is the bordereaux.

In theory, a bordereau should be a clean, structured data set that provides accurate performance insight. After all, how hard is it to represent total premium?  In practice, it’s often:

  • Delivered monthly or quarterly
  • Sent via email, SFTP or shared drives
  • Built in Excel, csv, txt, xml or database backup files
  • Custom-formatted for each recipient
  • Incomplete or inconsistent across partners
  • Disconnected from underlying source systems
  • Severely disconnected from target source systems

This forces everyone in the chain to spend weeks, sometimes months, cleaning, reformatting, validating and aligning data. Capacity and capital providers wait on outdated performance metrics. Errors and inconsistencies trigger rounds of back-and-forth emails. Trust in data and partnerships declines. And instead of investing time into strategic decisions, teams burn hours just trying to get to a reliable baseline.

That isn’t just inefficient. It’s a tax on the entire system.

Why it matters for capital efficiency

It’s not just operations. Bordereaux bottlenecks restrict capital flow.

Reinsurers and carriers depend on up-to-date, validated performance data to make allocation decisions. But when reporting lags by 30, 60, or even 90 days, capital partners are left flying blind.

The implications are serious:

  • Promising MGAs may struggle to attract additional capacity
  • Underperforming programs may retain capital longer than they should
  • Carriers hesitate to grow portfolios without visibility into earned premium or incurred loss
  • Reinsurers can’t dynamically rebalance across programs without real-time insights

This delayed access to clean data creates systemic drag. It reduces confidence, inflates risk, and undermines trust precisely when the delegated authority model is growing.

Why standardisation alone isn’t the answer

Lloyd’s V5.2, ISO and other market-wide data standards have been important steps toward modernisation. But they do not work.

Why?

Because they only benefit the recipient.  They don’t solve the data struggle. Standardisation without infrastructure leaves more work on the table, not less. Even with standardised formats:

  • Many MGAs don’t have the tooling, people or patience to generate compliant reports
  • Data still has to be manually validated against carrier expectations
  • Reinsurers receive the data too late to act meaningfully anyway.

The problem isn’t the data destination, it’s the journey from beginning to end.

A better approach: clean, structured data from the source

Solving the bordereaux problem means rethinking the process entirely.

Data is not static. It’s dynamic and changes over time and in real time. So why treat reporting like it is static? We need to shift to a streamlined data infrastructure that:

  • Ingests raw data directly from MGAs, TPAs and other sources
  • Normalises and maps that data to shared standards in real time
  • Continuously reconciles with carrier and reinsurer expectations
  • Makes performance data available immediately: accurate, verified and transparent

This kind of system doesn’t just remove friction, it unlocks the potential of the entire delegated model.

Carriers gain confidence to scale. Reinsurers make faster, smarter capital decisions. MGAs can prove performance without delay. Everyone moves with greater speed and precision.

From bottleneck to backbone

The bordereaux doesn’t have to be the anchor that holds the market back. With the right infrastructure, it can become the backbone of a more connected, liquid and data-driven program ecosystem.

At Noldor, we’ve built exactly that: a platform that automates data ingestion, validation and reporting across all parties, turning slow, inconsistent bordereaux into a real-time source of truth.

Because when you eliminate the bottlenecks, capital flows. And when capital flows, programs grow.

About Noldor

Noldor is more than a data platform, it’s the infrastructure powering the future of insurance program business. Built to transform fragmented, inconsistent insurance data into a strategic asset, Noldor bridges the gap between MGAs, carriers, reinsurers and brokers by offering real-time insights, seamless system integrations and automated workflows that scale with your business. For more information, please contact us at questions@noldor.com.

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