Why Verodat Stands Out in Insurance Technology

Delegated authority teams face an increasingly complex operational landscape. Bordereaux arrives in inconsistent formats, validation is manual and error-prone, and regulatory expectations continue to rise. At the same time, insurers are exploring AI to unlock greater insight, automation, and responsiveness.

Verodat bridges these needs by delivering a complete data supply chain for bordereaux, combining automation, governance, and AI-readiness in a single workflow.

Core strengths that set Verodat apart:

1. Advanced automation built specifically for bordereaux

• AI-assisted mapping for new cover holders

• One-time mapping that reuses automatically each month

• Excel-style rule engines for business validation

• Error categorisation and real-time feedback

This removes the repetitive work that slows down delegated authority processing.

2. Governance and auditability at the highest standard

Verodat attaches supply status, provenance, and row-level audit trails to every dataset.
This is essential for:

• compliance and regulatory reviews

• underwriting governance

• internal audit

• pricing and portfolio oversight

3. Ready for AI from day one

Verodat ensures insurers can safely activate tools such as:

• Excel Co-Pilot

• conversational analytics

• automated MI generation

• AI agents

These tools rely on structured, contextual, validated data — and Verodat delivers exactly that.

4. Real results at scale

Clients across insurance and delegated authority have achieved:

• up to 94% faster bordereaux processing

• high-quality standardised datasets for MI

• reduced operational overhead

• consistent month-on-month governance

This is why Verodat is increasingly adopted as the foundation for automation and AI across underwriting, operations, and reporting.

The Market Shift: Bordereaux as a Strategic Capability

Historically, bordereaux management was seen as an operational burden. Today, it is recognised as a strategic differentiator.

Insurers and MGAs with fast, governed, high-quality bordereaux data can:

• respond faster to performance trends

• improve underwriting decisions

• identify emerging risks sooner

• support pricing models with greater accuracy

• activate AI tools with confidence

Verodat’s shortlisting for Best Insurance Technology reinforces this shift — and reflects how the market values platforms that deliver not only efficiency but also governance, insight, and scalability.

A Platform Designed for What Insurance Needs Now

Verodat’s bordereaux solution is part of a wider platform built to give insurers and MGAs the structured, governed data they need for transformation.

Our focus remains the same:

• eliminate manual processing

• standardise and validate data at scale

• support regulatory, underwriting, and operational requirements

• enable safe and meaningful use of AI

This is what makes Verodat a standout solution in the market — and why the platform continues to gain recognition across the insurance technology landscape.

The Executive Pressure

Executives are being asked to deliver more than ever:

• Cut costs without compromising quality

• Innovate with AI at speed

• Improve reporting, forecasting, and operational accuracy

• Deliver results while relying on data they can’t fully see or control

The result: high pressure, low confidence.

Leaders feel accountable for outcomes built on foundations they cannot fully verify — creating risk, operational drag, and stalled AI ambitions.

The Shift: Data Supply Management Emerges

A new category is forming: Data Supply Management.

It reframes the challenge completely:

It’s not about storage — it’s about flow.

Just as supply chain management transformed manufacturing,
data supply management ensures every process receives the right data, at the right time, to the right standard.

This moves data from an IT concern into a business discipline — something an executive can interrogate, measure, and govern.

What Executives Now Need

To regain confidence and control, leaders need:

1. Visibility

See where data flows, how it behaves, and which processes depend on it.

2. Trust

Know the data powering decisions meets quality, governance, and compliance expectations.

3. Control

Manage data supply with the same discipline used for financial or operational supply chains.

Without these, AI efforts remain siloed, processes become brittle, and risk expands quietly across the organisation.

The Opportunity: When the Data Supply Works

Once data supply becomes reliable, measurable, and governed:

• Processes run faster and with less manual effort

• AI becomes deployable and trustworthy

• Teams reduce rework and ambiguity

• Reporting becomes instant and consistent

• Executive confidence returns

The entire organisation benefits — because every function relies on data supply, whether they realise it or not.

The Verodat Approach: Closing the Gap

At Verodat, we help executives solve this exact challenge.

Our Data Supply Management platform provides:

• Full visibility of data structures, flows, and supply health

• Trusted, governed, AI-ready data for operations

• The control layer between enterprise data and AI tools

• A repeatable framework enabling executives to operationalise AI safely and at scale

When data supply is managed like a supply chain, everything else —
performance, innovation, compliance, and trust — follows.

What Verodat Does

Verodat turns that problem into a process.
We combine deep Lloyd’s market expertise with AI-powered software to transform historical bordereaux into clean, analysis-ready data — with full governance and auditability built in.

Our clients use Verodat to:

• Accelerate mapping creation and data standardisation across years of legacy files

• Apply AI-assisted field mapping that learns and improves with each iteration

• Deliver a fully auditable, MI-ready dataset to internal systems or warehouses such as SQL or Snowflake

• Free their internal teams from rework while maintaining complete transparency and control

How We Do It

Our process is proven, transparent, and designed for scale.

1. Requirements Capture
   We start by documenting the target state: how your data needs to look to meet Lloyd’s and internal reporting standards. This includes business context, validation rules, and version control.

2. AI-Assisted Mapping
   Verodat’s AI automatically aligns fields based on industry expertise and historic patterns, speeding up the mapping process and reducing manual effort.

3. Iterative Review & Collaborative Refinement
   Each mapping is reviewed through structured workflows and error reports. Your team retains oversight, while we handle the heavy lifting — transforming thousands of files at pace.

4. Full Audit Trail & Traceability
   Every transformation is tracked, enabling complete transparency for compliance, audit, and data-quality assurance.

This approach removes maximum pain from a complex process, while maintaining the quality control your team needs

Why Verodat Is Different

Verodat’s advantage lies in its blend of AI automation, Lloyd’s expertise, and disciplined methodology:

• Experience: Multiple backloading projects completed for leading carriers, underpinned by deep knowledge of Lloyd’s frameworks.

• Efficiency: AI-accelerated mapping supervised by human data experts.

• Methodology: A tranche-based model that learns from each iteration to improve accuracy and speed.

• Transparency: Real-time progress tracking, burn-down charts, and comprehensive audit logs.

• Speed: Rapid turnaround on initial mappings, with feedback loops built for continuous improvement.

As Ella Copeland, Customer Success Lead at Verodat, explained, “It’s not about making the process invisible — it’s about taking as much pain out of it as possible. Our way of working gives clients confidence in the results while keeping them in control.”

Proven Success

In a recent large-scale project, Verodat processed 114 mappings in under four weeks, handling thousands of files across multiple years of account. The project demonstrated Verodat’s ability to manage complex, multi-format historical data — transforming it into a unified, high-quality dataset ready for reporting and analytics.

Clients consistently report dramatic improvements:

• 94% faster processing times compared with manual methods

• 100% audit traceability across all transformations

• Significant reduction in rework and operational overhead

The Bigger Picture

Historical backloading is more than a cleanup exercise — it’s a foundation for transformation.
Once legacy bordereaux are structured and standardised, insurers can:

• Run cross-year performance analysis

• Power AI tools safely and effectively

• Simplify renewals and compliance submissions

• Identify risk and pricing trends hidden in years of disconnected data

Verodat makes this achievable — not as a one-off project, but as a repeatable, governed process that scales with your business.

A Platform Designed for Continuous Innovation

From day one, Verodat’s development framework was structured to deploy production-grade features in short, controlled sprints.
Our standard turnaround times:

• Small configuration changes: usually within two weeks

• Minor feature updates: typically four to six weeks

• Larger product launches: phased, but always with measurable progress visible to customers

This approach has allowed Verodat to sustain a constant stream of innovation, led by real business requirements rather than abstract R&D roadmaps.

Example: The Replay Capability

One of our most-requested capabilities this year came from a simple but powerful customer insight:

“What if I could replay my data back through Verodat without starting from scratch?”

In less than eight weeks, that idea became Replay — a feature that enables customers to re-run historical data through their Verodat validation and transformation pipelines.
It’s a breakthrough for backloading — dramatically reducing time and effort when cleansing or onboarding legacy data.

Replay exemplifies what we do best:

• Listen closely to how clients actually work

• Build iteratively and deploy fast

• Deliver measurable operational benefit — in this case, accelerating backloading and ensuring data remains fully audit-ready

(We’ll share a deeper look at Replay soon — see more about this feature here →)

Customer-Centric by Design

Our innovation process starts where it should — with the customer.
Every feature we ship is linked to a real-world need surfaced during onboarding sessions, support tickets, or data governance reviews.
This constant feedback loop means our roadmap evolves with the market, not ahead of it.
And because Verodat is built as a lightweight, modular layer, new features can go from design to live production within weeks, without breaking existing configurations.

Why Speed Matters

Speed of innovation isn’t just about convenience — it’s about competitive advantage.
For our customers, every week saved in automating a process or unlocking a data source translates to lower cost, higher confidence, and faster ROI.
In an environment where others are still planning their next release, Verodat clients are already using the next capability.

Looking Ahead

The pace of innovation at Verodat isn’t slowing down.
Upcoming releases continue to expand on automation, replay, and AI-ready data orchestration — all guided by the same principle that built Replay: listen, build, deliver.

While others prepare for AI, Verodat powers it — securely, at scale, and in production.

From Data Capture to Data Supply

Historically, organisations have focused on capturing data — not on supplying it effectively to the processes that need it.
The result: vast data lakes and warehouses filled with information that’s difficult to use, manage, and trust. As data volumes have exploded, the challenge of turning raw data into usable input has only grown.

Today, that focus is shifting.
The rise of AI in business processes has made data supply — not just data management — a board-level priority.
AI delivers transformative results only when powered by data with the right quality, context, and compliance built in.

The Rise of Data Supply Management

A new category of tools is emerging to meet this need: data supply management.
These lightweight, fast-to-integrate systems manage how data is supplied to each process — ensuring reliability, traceability, and control from source to use.

For executives, this approach is particularly intuitive.
Data supply mirrors something they already understand — the supply chain.
Just as physical supply chains ensure the right materials reach the right place at the right time, data supply management ensures the right data reaches the right process in the right condition.

This familiar framing allows executives to:

• Understand what needs to happen

• Interrogate how it’s being done

• Govern and control outcomes

In short, it builds on existing leadership skills — enabling operational discipline and governance to extend naturally into the data and AI domain.

Empowering Executives to Unlock AI Innovation

This new approach acts as a release valve for the pressure executives face to “deliver on AI.”
By framing data through the familiar lens of supply-chain management, leaders can confidently oversee, question, and direct their organisation’s digital transformation — not from the sidelines, but from the centre.

It creates a shared language between data teams and leadership, grounding AI adoption in something every executive already understands: supply, demand, and flow.

Verodat’s Role

At Verodat, this is our domain.
For over a decade, we’ve been building and deploying data supply chain tools across highly regulated industries — from insurance and aircraft leasing to operations, finance, HR, and product.

We help executives bring the same discipline and control to data supply that they’ve already mastered in physical supply chains.
Our technology provides the structure and governance needed to move from AI experimentation to AI-driven operations — safely, efficiently, and at scale.

Because when the data supply works, everything else does too.

A Collaborative Approach

Verodat worked closely with Mercury’s data and business applications teams to deliver a solution tailored to the company’s operational and compliance requirements. The collaboration was characterised by transparency, adaptability, and a shared focus on long-term value.

What the Project Involved
Verodat was deployed to centralise data flows across Mercury’s finance, project management, and reporting systems. The platform automated validation and consolidation of critical operational datasets, replacing manual data preparation with a governed supply chain that feeds directly into Mercury’s analytics environment. Within weeks, the company moved from fragmented data updates to a single, real-time source of truth powering executive dashboards and performance reporting.

Delivering Results

With Verodat, Mercury now benefits from:

• Enhanced data quality and governance, reducing manual intervention and improving trust in decision-making.

• Faster, more reliable insights across finance, operations, and project management.

• Improved system performance, enabling AI and analytics tools to operate at full potential.

• A scalable foundation that supports ongoing innovation and automation initiatives.

This collaboration demonstrates how enterprise-scale organisations can turn complex, fragmented data environments into agile, governed ecosystems that drive better business outcomes.

⚙️ About Verodat

Verodat enables organisations to turn their existing systems into AI-ready data infrastructure—connecting, validating, and governing information so it’s always reliable, compliant, and actionable.

The problem with data that isn’t ready

Data sits in multiple systems, is updated inconsistently, and lacks the contextual metadata AI agents need to interpret it correctly. Even the most advanced models struggle in that environment — returning incomplete, inaccurate, or non-compliant outputs.

The result? Projects stall, governance teams lose confidence, and automation never makes it beyond pilot.

As Thomas explained on the podcast, “You can’t scale what you can’t trust. AI doesn’t fail because of the model — it fails because of the data.”

From Experimentation to Execution

Moving from AI experiments to production isn’t about chasing the next model or tool.
It’s about creating an operational environment that gives AI the structure and guardrails it needs to perform reliably.

That means:

• A consistent way to describe and access business data.

• Context around what information means and where it comes from.

• Governance that defines what agents can query and under what conditions.

• Transparency and auditability so decisions can be trusted and explained.

This layer of control is what allows AI to be used in production, safely and repeatably.

How Verodat Makes It Possible

Verodat is built for exactly this challenge.
It acts as the control layer between enterprise data and AI agents, turning automation from pilot to production.

Our platform:

• Connects to existing systems without requiring infrastructure change.

• Enriches and validates data automatically, attaching supply and provenance metadata.

• Provides governance and access rules for both human and AI interactions.

• Enables traceable, audit-ready automation across workflows.

This allows enterprises to deploy AI securely, deliver measurable ROI, and scale automation with confidence.

How Verodat Powers Bordereaux Agent Workflows

Bordereaux management is changing fast.
Insurers and MGAs are under pressure to process data faster, maintain governance, and deliver real-time insights to underwriters, compliance teams, and executives.
For many, this shift is being driven by AI — but the biggest challenge isn’t the technology itself.
It’s whether the data behind it is ready.

That’s where Verodat comes in.

From Manual Files to Governed, AI-Ready Data

Verodat is a data-first platform that automates, validates, and governs bordereaux data across risk, premium, and claims.
Our Bordereaux Management solution transforms fragmented spreadsheets and PDFs into clean, structured, and compliant datasets — without the heavy engineering lift.

Within weeks, Verodat replaces repetitive manual processing with a governed data supply chain that:

• Validates every row automatically against business and contract rules.

• Flags and fixes data quality issues before they hit your team.

• Provides full audit trails and MI-ready outputs.

• Integrates directly into your SQL, Snowflake, or reporting layer.

It’s fast to deploy, fully supported, and instantly usable by business users — no developers or re-platforming required.

Once Your Bordereaux Is Organised — It Doesn’t Stop There

With your data governed and structured by Verodat, you’ve built more than just a reporting pipeline.
You’ve created the foundation for automation — a data layer that can safely power AI-driven workflows across your delegated authority operations.

This is where Verodat’s AI enablement and the ADRI (Agent Data Readiness Index) come in.

Introducing ADRI — The Confidence Layer for Agents

The ADRI (Agent Data Readiness Index) measures and enforces the readiness of data before any AI agent acts on it.
In other words, it ensures that every AI-driven action — whether it’s summarising bordereaux files, generating performance briefings, or forecasting risk exposure — is based on verified, complete, and up-to-date data.

Together, Verodat’s Data Supply Manager and ADRI framework make it possible to safely build and deploy agent workflows on top of your existing bordereaux data, with full visibility and control.

Examples of Bordereaux Agents You Can Activate

Once your bordereaux data sits within Verodat’s governed layer, new possibilities open immediately.
Here are just a few examples of agent workflows our clients are exploring today:

• Underwriter Summary Agent
  Automatically creates a daily or weekly briefing for underwriters — highlighting performance by coverholder, loss ratios, and exposure shifts.

• Exception Monitoring Agent
  Flags rule breaches (e.g. expired policies, incorrect premiums, missing claim references) in real time and alerts the operations team for review.

• Renewal Performance Agent
  Tracks policy renewals and aggregates loss and profitability trends, sending proactive insights to account managers.

• Portfolio Forecasting Agent
  Uses validated bordereaux data combined with external data sources (e.g. market rates, FX trends) to model upcoming exposure and capital requirements.

• Audit-Ready Reporting Agent
  Generates regulator-ready or internal audit reports automatically, with full traceability from file upload to output.

Each of these agents operates securely and reliably because Verodat provides the data supply, governance, and audit logic behind them.

Why It’s So Easy with Verodat

Implementing automation in bordereaux doesn’t have to mean building from scratch or hiring data engineers.
Verodat was designed to fit around how insurers and MGAs already work.
Your team defines the business logic; Verodat handles the technical lift.

• Pre-built connectors for all major file formats and systems.

• Weekly working sessions during setup — no complex onboarding.

• Verodat Logging built in, so every action is observable and verifiable.

• Expandable design — start with bordereaux, then extend to claims, pricing, or MI reporting when you’re ready.

In short: Verodat gives you immediate ROI today, and the foundation for AI tomorrow.

The Opportunity for Delegated Authority

The shift toward agent-based automation is already underway.
As organisations like CJ Coleman and Fenchurch look to operationalise their AI strategies, the ability to trust data will define who moves first — and who moves fastest.

Verodat ensures your bordereaux data is structured, governed, and ready for that future.
Whether you want to improve operational efficiency, reduce reporting cycles, or deploy intelligent agents, Verodat provides the foundation to make it real — safely and at scale.

From Manual Fixes to Automated Reliability

• Metadata Correction
  Messy Excel or bordereaux files often shift around — column headers change, sheet names get updated, formats move unexpectedly. Instead of hours of rework, Verodat’s metadata agent automatically detects these changes, corrects the mapping, and reports back. You stay in control — but the hours of manual clean-up disappear, because this is the kind of low-value work a person shouldn’t have to do, and an agent can handle instantly.

• Error Handling
  When invalid dates, mis-formatted currencies, or broken logic creep into files, Verodat’s error handling agent highlights the issue, proposes a correction, and — if authorised — can fix it automatically. “You choose whether to review changes first or let the agent resolve them — the point is, no one on your team needs to spend their day chasing invalid dates or mis-formatted currencies.

The Future: Flexibility and Control

What makes this approach powerful is choice. Over time, organisations will decide how far they want to delegate:

• Keep a human firmly in the loop for every correction.

• Allow agents to handle common issues automatically.

• Scale up to let agents run processes end-to-end, with full governance and audit trails.

The point isn’t replacing people — it’s freeing them from work that’s burdensome, repetitive, and error-prone, and letting AI agents handle it in a way that’s faster, consistent, and fully auditable.