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.

Beyond Co-Pilots: Unlocking the Future of AI in Your Org

Getting your data AI-ready isn’t just about enabling existing tools. It’s the critical first step toward:

• ✳️ Building AI agents that automate decisions and workflows

• ✳️ Generating real-time briefing notes and stakeholder updates

• ✳️ Enabling cross-system intelligence without manual overhead

• ✳️ Scaling AI securely, with governance built in

Verodat’s lean data management approach supports all of this—and more—with zero disruption to your existing infrastructure.

Unlocking Workflow Readiness for AI in Specialty Insurance

In Oxbow Partners’ recent Generative AI in Specialty and Reinsurance report, the message is clear: AI is coming—but most insurers aren’t ready.

The standout takeaway?

“At the moment we’re getting other things fixed, like our internal data.”

From underwriting ops to compliance, every AI opportunity hinges on one thing: workflow and data readiness.

The Governance Gap

While AI use cases are being scoped across exposure management, portfolio analytics, and risk ops, the most urgent blockers are foundational:

• ⚠️ Broken or delayed internal workflows

• 🧩 Fragmented data sources with poor quality controls

• 📉 Document extraction tools dropping to 80% accuracy

• 🔐 Internal resistance due to governance and compliance risk

These aren’t AI problems—they’re data problems.

How Verodat Helps You Get Ready

Verodat is built for insurance data complexity. Our lightweight governance layer helps specialty insurers move fast—without cutting corners on trust, auditability, or compliance.

Here’s how:

✅ Governance Built In
Attach context, ownership, and supply history to every dataset
→ Perfect for delegated authority oversight and audit reporting

✅ Process Automation Without Uplift
Link data across brokers, coverholders, and internal teams
→ Eliminate duplicative manual work in underwriting operations

✅ Full Traceability
Every number, document, and report has a visible, provable source
→ Pass compliance audits in hours, not weeks

✅ AI-Ready by Default
Your governed data layer powers the next generation of insights
→ When you’re ready for AI, your data already is

Why Excel Feels Familiar — and Fails Fast

We get it. Excel is easy, flexible, and everywhere. But when your business depends on reliable data, it becomes a fragile foundation.

• One broken formula = one broken forecast

• No audit trail = no trust

• Version 37_final_FINAL.xlsx = total confusion

Sound familiar?

Excel Wasn’t Built for Today’s Data Challenges

Modern business moves fast. Your data sources are growing, your teams are remote, and your reporting needs are real-time. Excel was never meant to handle this.

That’s where Verodat comes in.

How Verodat Transforms the Way You Work

Verodat connects, cleans, and governs your data — so you never have to second-guess a number again.
Whether you’re reporting for a regulator, briefing the board, or training your first AI agent, Verodat gives you:

✅ One Source of Truth – governed, live, and audit-ready
✅ AI-Ready Data – structured and enriched with business context
✅ Less Manual Work – no more chasing down broken links or updating 10 versions of the same file
✅ Real-Time Visibility – your data, as it actually is, not as it was last week

We’re thrilled to be recognised as a finalist in the 2025 Tech Excellence Awards. The nomination reflects the real-world impact of Verodat’s technology — giving enterprises the control layer they need to unlock operational AI, not just AI experiments.

But what does it actually mean to run production-grade AI? And why are more clients turning to Verodat to bridge the gap between ambition and reality?

Why AI Pilots Often Fail

Most organisations already have AI initiatives underway — yet few have successfully moved beyond pilot projects.

What’s missing isn’t intent or investment. It’s infrastructure.

Inconsistent updates, fragmented systems, and lack of metadata all block automation. Even the best agents struggle when they don’t know whether the data they’re using is complete, current, or compliant. That’s where Verodat comes in.

Where Verodat Fits

Verodat provides the data supply and governance layer needed to move AI out of the lab and into the business. It:

• Defines what agents can query, when, and under what conditions

• Provides real-time supply status and metadata for every dataset

• Supports human-led queries and AI-generated logic side by side

• Works with your existing systems — no need for a full data overhaul

In short, Verodat is how AI becomes operational.

Real Results from Real Clients

One client cut payroll reporting effort by over 80% within three weeks by implementing a Verodat-powered AI agent. Another deployed geolocation-triggered executive briefings with fully auditable, compliant data.

Clients include:

• Pen Underwriting

• Cairn Homes

• Sammin Engineering

• Covéa

• The Irish Times Group

Verodat is enabling automation securely, at scale, and across sectors.

Why It Matters Now

While many are still preparing for AI, Verodat is powering it today.

This award nomination isn’t just about innovation — it’s about execution. We’re proud to lead the way in operational AI, giving teams the structure they need to deliver real business outcomes without compromise.

The Evolution of Data Management

Traditional ETL platforms focus on one primary goal: streamlining the creation of data pipelines without extensive engineering resources. With pre-built connectors and basic transformation tools, they certainly solve the immediate challenge of data movement.

But here’s the reality check: as your organization matures in its data journey, you’ll inevitably outgrow simple ETL capabilities.

The Real Business Value

The differences between basic ETL and ETL++ aren’t just technical distinctions—they translate to measurable business advantages:

• Reduced Compliance Risk: With regulations like GDPR, NIST, DORA, and the AI Act expanding globally, native governance capabilities become essential
• Accelerated AI Implementation: When data is inherently structured for AI consumption, deployment time decreases by months
• Enhanced Decision Confidence: Auditability and provenance tracking increase trust in data-driven decisions
• Future-Proofed Architecture: As data regulations evolve, an ETL++ approach adapts without requiring architectural overhauls

Is Your Data Strategy Future-Ready?

Ask yourself these questions:

1. Can you trace the exact provenance of critical business data?
2. Is your data structured appropriately for safe AI agent interaction?
3. Does your current solution provide enterprise-grade auditability out of the box?
4. Can you confidently meet emerging AI governance requirements?

If you answered “no” to any of these questions, your organization might be outgrowing basic ETL capabilities.

Take the Next Step

Don’t wait until compliance requirements, AI initiatives, or governance challenges force a rushed solution. Explore how Verodat’s ETL++ approach can transform your data strategy from simple pipelines to comprehensive, future-ready data management.

Unlocking Workflow Readiness for AI in Specialty Insurance

In Oxbow Partners’ recent Generative AI in Specialty and Reinsurance report, the message is clear: AI is coming—but most insurers aren’t ready.

The standout takeaway?

“At the moment we’re getting other things fixed, like our internal data.”

From underwriting ops to compliance, every AI opportunity hinges on one thing: workflow and data readiness.

The Governance Gap

While AI use cases are being scoped across exposure management, portfolio analytics, and risk ops, the most urgent blockers are foundational:

• ⚠️ Broken or delayed internal workflows

• 🧩 Fragmented data sources with poor quality controls

• 📉 Document extraction tools dropping to 80% accuracy

• 🔐 Internal resistance due to governance and compliance risk

These aren’t AI problems—they’re data problems.

How Verodat Helps You Get Ready

Verodat is built for insurance data complexity. Our lightweight governance layer helps specialty insurers move fast—without cutting corners on trust, auditability, or compliance.

Here’s how:

✅ Governance Built In
Attach context, ownership, and supply history to every dataset
→ Perfect for delegated authority oversight and audit reporting

✅ Process Automation Without Uplift
Link data across brokers, coverholders, and internal teams
→ Eliminate duplicative manual work in underwriting operations

✅ Full Traceability
Every number, document, and report has a visible, provable source
→ Pass compliance audits in hours, not weeks

✅ AI-Ready by Default
Your governed data layer powers the next generation of insights
→ When you’re ready for AI, your data already is

AI adoption is accelerating—but without data governance, the risk grows faster than the rewards.

From copilots to autonomous agents, the enterprise AI stack is expanding. Yet most businesses still lack the traceability, validation, and permission layers needed to safely scale AI.

In a recent visual summary by policy researcher Oliver Patel, the top governance challenges for AI in enterprise settings were made clear:

• ⛔️ Lack of oversight of what LLMs access

• ❓ Uncertainty over data provenance

• 🔓 Gaps in access control and validation

• 🔍 No audit trail to support compliance or explainability

🔑 Key Challenges Facing AI Governance Today

These are the governance questions that every enterprise deploying GenAI must answer:

1. What data is available to my AI tools?
Without centralised metadata and permissioning, there’s no visibility into what LLMs are using—or worse, misusing.

2. Is the data up-to-date and validated?
AI hallucinations often stem from outdated, incomplete, or low-trust inputs. Without real-time validation, you’re gambling with your decisions.

3. Who approved access to this data?
A lack of audit trails can create compliance bottlenecks and operational risk.

4. Can we explain the AI’s outputs?
Explainability isn’t optional—especially as regulations like the EU AI Act and NIS2 demand it.

✅ How Verodat Enables AI Governance, by Design

Verodat solves this by giving you a governed AI-ready data layer with built-in traceability and control.

• Context & Provenance Built In
  Every dataset carries metadata about where it came from, when it was last updated, and what it’s valid for.

• Supply Status & Completeness Flags
  Your AI agents don’t just pull data—they know whether it’s fresh, complete, and approved.

• Certificate IDs & Full Audit Trails
  Every data point can be traced back to its source, enabling full compliance reporting.

• Control for Human or Agent
  Whether it’s a human analyst or an AI agent, Verodat ensures only approved, high-trust data is used.

🧠 Why This Matters Now

We’re moving into a world of autonomous decision-making and fast-moving AI systems.

You can’t scale AI without governance.

With Verodat, governance doesn’t slow you down—it accelerates your adoption by:

✔️ Meeting compliance mandates proactively
✔️ Empowering teams to use AI safely
✔️ Enabling faster rollout of copilots and agents
✔️ Making data trustworthy and explainable