Author: Sally OBrien
Verodat Wins Tech Project of the Year — Here’s What That Means for You

Verodat has been named Tech Project of the Year at the 2025 Tech Excellence Awards.
The award recognised our work in deploying real AI agents into production—cutting manual reporting effort by over 80%, with full governance, audit, and compliance in place.
Here’s how we did it—and how your business can benefit too.
🎯 The Problem Most Organisations Face
AI pilots are everywhere. But pilots don’t equal progress.
Most organisations hit a wall when trying to bring AI into day-to-day operations. The problem isn’t the models. It’s that enterprise data isn’t ready to support AI agents in a secure, structured way.
That’s where Verodat comes in.
🚀 The Winning Project
This award recognised how Verodat enabled a major engineering client to:
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Replace manual payroll reporting with a live AI agent
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Cut processing time by over 80%
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Meet internal audit, compliance, and governance requirements
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Do it all in under 3 weeks—with no major system changes
And that was just the first agent. Verodat has since been deployed for use cases including executive briefings, HR ops, and project forecasting.

“While others are still preparing for AI, Verodat is already powering it—securely, at scale, and in the real world.”
— Tech Awards Submission
🧠 What Makes Verodat Different
We don’t just connect to your systems—we turn your data into an operational layer that AI agents can act on with confidence.
✔️ Real-time data from 600+ sources
✔️ Embedded metadata, supply awareness & governance
✔️ Agent-safe architecture (supports natural language, approved SQL, and AI-native access)
✔️ Full visibility for audit and compliance teams
In short, we remove the friction between your data and your ambition.
💬 This Win Isn’t Just About Us
Winning Tech Project of the Year is a proud moment for our team—but more importantly, it shows what’s possible when AI is grounded in structure.
If your organisation is stuck in pilot mode, or considering how to embrace AI without the usual risks and noise, this is your signal to take the next step.

🔗 See It for Yourself
We’re opening up access to the same platform behind the award-winning deployment.
Check out some of our additional resources and find out why the future of AI for business depends on data.
Why AI-Ready Data Is the Foundation of Agentic Workflows

What Is AI-Ready Data—And Why Does It Matter?
AI tools promise game-changing automation, insight, and productivity. But for most organisations, one thing still stands in the way: data that isn’t ready for AI.
Verodat solves this by turning your existing systems and data sources into a governed, AI-ready layer—without needing to rebuild your stack.
We do this by attaching three critical attributes to your data:
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✅ Supply Status: Is it fresh and reliable?
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✅ Attribution: Where did it come from?
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✅ Context: What does it mean in your business?
These attributes ensure your AI tools aren’t working blindly.
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:
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✳️ Building AI agents that automate decisions and workflows
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✳️ Generating real-time briefing notes and stakeholder updates
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✳️ Enabling cross-system intelligence without manual overhead
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✳️ 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.
Want to Try It?
We offer a rapid, three-week trial that proves ROI fast.
You bring the challenge—we’ll configure Verodat to deliver:
✅ Structured, governed data
✅ Real-time access
✅ AI-ready insights and automation
👉 Book a demo today.
Check out some of our additional resources and find out why the future of AI for business depends on data.
Why AI Agents Fail — and What to Do About It

📌AI agents promise automation and acceleration, but most aren’t delivering results in the real world. It’s not because the models aren’t powerful—it’s because they’re missing something foundational: structured, governed data.
In this post, we explain the real blocker behind AI agent adoption, draw on recent industry insight, and share how Verodat’s new API solves it.
Sign up to our Beta program today to give your AI Agents the data they need.
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:
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⚠️ Broken or delayed internal workflows
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🧩 Fragmented data sources with poor quality controls
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📉 Document extraction tools dropping to 80% accuracy
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🔐 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
📥 Want to see how Verodat fits into your underwriting and ops workflows?
👉 Book a demo today.
Check out some of our additional resources and find out why the future of AI for business depends on data.
Drowning in Excel? It’s Time to Step Up

Still using Excel for business-critical reporting? You’re not alone — but there’s a smarter way forward.
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.
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One broken formula = one broken forecast
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No audit trail = no trust
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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
Still Using Excel? Here’s Your Next Step
You don’t need to throw it out completely. But to stay ahead, your business needs a data foundation you can trust.
Try Verodat and see how it feels to leave the chaos behind.
👉 Book a Free Demo
👉 Or Read the Guide: Identifying Your First AI Use Case
Check out some of our additional resources and find out why the future of AI for business depends on data.
From Pilot to Production: Why Verodat Is a Finalist at the Tech Excellence Awards 2025

🏆 Verodat has been shortlisted for the Tech Excellence Awards 2025 in the “Emerging Technology Innovation of the Year” category for enabling secure, production-grade AI agents.
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:
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Defines what agents can query, when, and under what conditions
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Provides real-time supply status and metadata for every dataset
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Supports human-led queries and AI-generated logic side by side
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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:
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Pen Underwriting
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Cairn Homes
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Sammin Engineering
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Covéa
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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.
📩 Want to see how fast Verodat works?
Many of our clients see results in as little as 3 weeks.
Check out some of our additional resources and find out why the future of AI for business depends on data.
📉Beyond ETL: Why Your Data Strategy Needs More Than Just Pipelines

📌In today’s AI-driven business landscape, simply moving data from point A to point B is no longer enough. Organizations rushing to implement basic ETL (Extract, Transform, Load) solutions are quickly discovering a critical truth: data pipelines alone won’t prepare you for the future.
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.
Why ETL Alone Falls Short
When companies implement basic ETL solutions, they often encounter these limitations:
Limited Governance
Basic pipelines move data but provide minimal visibility into provenance, context, and supply status
AI Readiness Gaps
Raw data pipelines don't structure information for safe, effective AI agent interactions
Compliance Vulnerabilities
Without native auditability and traceability, compliance with regulations becomes increasingly complex
Inflexible Supply Automation
Static scheduling without configurable request frameworks limits business adaptation
Introducing the ETL++ Approach
The most forward-looking organizations are moving beyond simple ETL toward what we call ETL++: solutions that not only move data but govern it, structure it for AI, and prepare it for safe, compliant use across the business.
Key Components of ETL++:
Governed, AI-Ready Data Layers
Beyond basic transformation, ETL++ incorporates context, provenance, and supply status information
Enterprise-Grade Auditability
Native compliance capabilities that track every data interaction
Configurable Supply Schedules
Flexible frameworks that enable near real-time freshness with complete audit trails
Agent-Ready Structuring
Preparation for AI systems to safely query and utilize trusted data
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:
- Can you trace the exact provenance of critical business data?
- Is your data structured appropriately for safe AI agent interaction?
- Does your current solution provide enterprise-grade auditability out of the box?
- 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.
👉 Ready to future-proof your data strategy?
Request a demo today or call us at +353 (0)1 254 8820 to discuss your specific needs.
Check out some of our additional resources and find out why the future of AI for business depends on data.
🚀The AI Opportunity Is Real—But Who’s Actually Ready?
📉 90% of specialty insurers say GenAI will transform the sector.
🤯 Yet most still struggle with the basics: data access, trust, and process readiness.

📌 “Almost all interviewees believe Gen AI will be ‘very transformational’—but they’re still tackling internal data gaps, workflow issues, and governance concerns.”
— Oxbow Partners, 2025
☎️Book a free 30 minute demo today to find our how Verodat solves these blockers in as little as 3 weeks.
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
📥 Want to see how Verodat fits into your underwriting and ops workflows?
👉 Book a demo today.
Check out some of our additional resources and find out why the future of AI for business depends on data.
Turning AI Governance from Burden to Advantage with Verodat

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:
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⛔️ Lack of oversight of what LLMs access
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❓ Uncertainty over data provenance
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🔓 Gaps in access control and validation
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🔍 No audit trail to support compliance or explainability

💡At Verodat, we’re solving these problems head-on by embedding governance directly into your data infrastructure.
📊 Our AI-ready data layer ensures your copilots, agents, and analytics tools have access to the right data, with the right controls, at the right time.
🔑 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.
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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
💬 Final Thoughts
If you’re deploying AI, you need more than tools—you need trusted data infrastructure.
🔗 Want to see how Verodat helps businesses implement AI governance in as little as 3 weeks?
Check out our use case guide or get in touch to book a demo.
Check out some of our additional resources and find out why the future of AI for business depends on data.
🚀 Bordereaux Processing Is Broken — Here’s How We’re Fixing It
In traditional insurance workflows, growth comes at a cost.
Winning more business means more binders. More binders mean more time spent gathering, structuring, and submitting data. For most insurers, that either means:
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Hiring more admin staff
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Paying external service providers per binder
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Or purchasing software that still prices based on volume
In every one of these models, the cost of success increases with scale.
At Verodat, we do things differently.

💡 Why Verodat’s Pricing Wins:
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No per-binder fees — scale without added cost
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One setup = unlimited automated workflows
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Governance and auditability built-in by default
💡 The Problem with Traditional Bordereaux Pricing
Most vendors in the bordereaux space price by:
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Number of binders
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Number of submissions
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Or total volume processed
That might make sense for outsourced manual work—but not for automated, governed data processes.
When your pricing is tied to volume, you’re disincentivized to scale.
✅ The Verodat Model: Disruptive by Design
Verodat’s pricing flips the industry standard on its head.
We price based on value delivered, not the number of binders processed. That means:
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More business doesn’t mean more cost
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Automated processes are repeatable with zero incremental admin
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Your cost-per-use-case decreases as you grow
This isn’t just cost-effective—it’s operationally scalable. One client processes dozens of bordereaux submissions without any offshore support or added headcount.
They didn’t have to hire.
They didn’t have to pay by binder.
They just turned on Verodat—and scaled.
🔁 What It Looks Like in Practice
Verodat automates the entire bordereaux workflow:
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Ingests raw claims and premium data
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Structures it according to each binder’s specifications
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Pushes final outputs to systems like VYPR
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Tracks all changes and submissions for full auditability
This same flow runs on a schedule, with no human intervention.
And because the infrastructure is already in place, adding a new binder doesn’t increase the workload or the price.
🔐 Governed, Compliant, and Audit-Ready
Every data point in Verodat is:
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Traceable
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Validated
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Governed
No more spreadsheets passed between teams.
No more manual cut/paste.
No more scrambling for audit evidence.
With Verodat, you don’t just get automation.
You get governance and compliance by default—something few vendors offer.
🧠 Why It Matters Now
With rising regulatory scrutiny and tighter margins in insurance, every efficiency gain matters.
Our pricing is aligned with your growth, not stacked against it. It empowers underwriting and operations teams to scale faster, at a lower cost, and with better data.
💬 Let’s Talk
Want to stop paying more every time your business grows?
Talk to us about transforming your bordereaux processes with Verodat.
👉 Request a Demo
📞 Or give us a call for a quick chat: +353 (0)1 254 8820
Check out some of our additional resources and find out why the future of AI for business depends on data.
No More Cold Sweats: Why Data Quality at Entry Changes Everything
Learn how Verodat’s “bouncer at the door” approach transforms data reliability by validating information at the point of entry rather than adding more reporting layers.
Discover how this methodology eliminates reporting anxiety, removes person-dependency, and creates the foundation for effective AI implementation.

Verodat’s “bouncer at the door” approach delivers:
✅ Trust in your data foundation – When validation happens at entry, everything built on top inherits that reliability
✅ 95% reduction in verification time – No more hours spent cross-checking numbers across systems
✅ System resilience, not person dependency – Processes work regardless of who’s operating them
The Bouncer at the Door Approach
In the world of business reporting, there’s a familiar scenario that plays out too often:
A report shows unexpected numbers. Someone questions the data. The person responsible breaks into a cold sweat, frantically digging through spreadsheets, tracing data lineage, and questioning every step of their process.
As our CEO Thomas Russell explains: “What happens typically is people build reports at the edge—like a solution inside the house—and this works… it works and then the numbers start to creep off or they look unusual and somebody goes ‘hey that doesn’t look right.’ The person in the room gets a cold sweat going ‘what did I do wrong?’ And they go back trying to figure out and they’re pulling a thread and trying to find data…”
This scenario is familiar because it’s universal. Organizations build reporting solutions that work temporarily, but they’re built on shaky foundations. When questions arise (as they inevitably do), panic ensues.
This approach is backward. Adding another reporting layer to systems built on systems only increases complexity and risk.
At Verodat, we focus on ensuring your data is clean and validated at the point of entry – like a bouncer at the door, only letting quality data through. Instead of reporting at the edge of systems, you’re focusing on ensuring that your source data is clean.
This fundamental shift creates three immediate benefits:
- Trust in your foundation: When your data is validated at entry, everything built on top of it inherits that reliability
- Reduced manual verification: No more hours spent cross-checking numbers across systems
- System resilience instead of person dependency: The process works regardless of who’s operating it
Real-World Impact
The impact?
One client transformed their reporting from an audit nightmare to “a 5-minute job every Monday. No cold sweat, absolutely works, there’s no way it’s not right.”
Even better, this approach removes person-dependency. As Thomas notes, “It doesn’t depend on her. The system does it really – she just needs someone to push it through.”
Why This Matters Now
This shift is particularly crucial in today’s business environment for three reasons:
- Audit requirements are increasing: Regulators want to see not just your data, but how you ensure its accuracy
- Decision speed is accelerating: Waiting days to verify numbers is no longer acceptable
- AI adoption demands quality data: AI systems amplify data quality issues – garbage in, garbage out at scale
Beyond Reporting: The Foundation for AI-Ready Data
When you fix your data foundation, everything pointing to it works correctly. Reports become trustworthy not because you’ve added more validation layers, but because the source itself is impeccable.
Our clients experience:
- 95% reduction in time spent validating data
- Elimination of person-dependent knowledge
- Full audit readiness with complete data lineage
- Foundation for trusted AI implementation
This is how Verodat makes AI-ready data a reality – by getting the foundation right from the start.
Connect With Us
Have questions about how our “bouncer at the door” approach could work in your specific reporting environment? Reach out to our team or follow us on LinkedIn for more insights on building AI-ready data foundations.
#AIbyVerodat