Author: Sally OBrien
Enterprise AI Agents: How Verodat’s Data Platform Enables Reliable Automation
AI agents promise incredible automation—but how do you deploy them effectively?
Why Verodat Is Essential for Effective AI Agent Deployment
Verodat’s platform provides the critical infrastructure that makes AI agents reliable and business-ready:
Structured Data Foundation
Our Context API ensures all data is properly formatted, validated, and consistently structured—eliminating the "garbage in, garbage out" problem that plagues many AI implementations
Data Governance Built-in
With Verodat, every data point used by the agent is traceable, with proper permissions and access controls that maintain compliance
Repeatability Through Standardization
The standardized data approach means agents perform consistently across deployments and use cases
Contextual Intelligence
Unlike basic automation, our platform enables agents to understand data in its proper business context, making connections between different data sources
Case Study: Automating Ireland’s Property Market Analysis with Structured Data
While many organizations are excited about AI agents, successful implementations require structured, trustworthy data foundations that most companies struggle to establish. This is precisely the gap that Verodat fills, enabling truly autonomous AI workflows through proper data governance and standardization.
In this case study, we’ll show how Verodat’s platform enables an AI agent to autonomously analyze Ireland’s Property Price Register (PPR) data—transforming raw property transactions into actionable market intelligence without human intervention.
Verodat’s AI Agent in Action: Property Market Analysis
To demonstrate these capabilities, we’ve implemented an autonomous property market analysis agent that:
✅ Autonomously fetches the latest PPR data through Verodat’s Context API
✅ Correlates property transactions with news headlines about the market
✅ Identifies emerging trends that would take analysts hours to discover manually
✅ Generates complete market analysis reports with zero human intervention
✅ Publishes insights directly to business channels for immediate action
How It Works: Verodat's Platform Enabling AI Agents
Let’s examine how Verodat’s structured data approach makes this autonomous workflow possible:
Structured Data Access:
Structured Data Access:
- The AI agent calls Verodat’s GET Context API, which delivers properly formatted, validated PPR data
- Critically, the data arrives with complete metadata and schema definitions, enabling the agent to understand the structure without human guidance
- All access is logged, tracked, and permissioned according to governance policies
Contextual Data Relationships:
Contextual Data Relationships:
- Verodat enables the agent to understand relationships between datasets (property data and news trends)
- This contextual understanding happens because our platform maintains data semantics and relationships
Reliable Query Translation:
Reliable Query Translation:
- Because the data structure is consistent and well-defined, the agent can confidently generate accurate queries:
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SELECT region, AVG(price_sold) AS avg_price, COUNT(*) AS num_salesFROM ppr_dataWHERE region = ‘Dublin’ AND date_sold BETWEEN CURRENT_DATE – INTERVAL ‘7 days’ AND CURRENT_DATEGROUP BY region;
- Without Verodat’s structure, such autonomous query generation would fail due to inconsistent field names, data formats, or missing relationships
Trusted Output Generation:
Trusted Output Generation:
- The agent produces reliable insights because all data lineage is maintained
- Example output:
“This week’s data shows that Dublin’s average house price reached €480,000, aligning with increased mortgage approvals and rising demand. The biggest price growth was in South Dublin, where transactions rose 15% week-over-week.”
Repeatable Automation:
Repeatable Automation:
- Because the data structure remains consistent, this agent can run indefinitely without degradation
- The entire workflow can be replicated for different regions or markets without rebuilding
Beyond Property Data: AI Agents for Any Industry
Verodat’s structured data platform enables similar agent implementations across sectors:
Financial services
Autonomous risk analysis and compliance reporting
Supply chain
Real-time inventory optimization and disruption prediction
Healthcare
Patient data analysis and treatment protocol recommendations
Manufacturing
Equipment maintenance prediction and production optimization
Final Thoughts
As AI agents become increasingly central to business operations, the organizations that succeed will be those with proper data foundations. Verodat provides exactly this foundation—turning the promise of autonomous AI into operational reality through structured, governed, contextual data.
💡 Want to explore how Verodat can enable AI agents for your organization?
Let’s chat! Book a free demo or give us a call on 353 (0)1 254 8820.
Other resources
Check out some of our additional resources and find out why the future of AI for business depends on data.
NIS2, DORA & the EU AI Act Are Coming — Is Your Data Ready?
With new EU regulations tightening around cyber resilience, operational traceability, and responsible AI — organisations face serious pressure to demonstrate data control and compliance.
But while the burden is increasing, the solution doesn’t have to be complicated. Verodat helps you meet these requirements with governed, auditable, AI-ready data — without overhauling your systems.
- Traceability by Default
- AI Governance Made Simple
- Cross-Team Visibility
- Future-proof your business
👉 Worried about compliance headaches or AI risk?
💬 Let’s talk about how Verodat simplifies this.
Three major regulations are transforming how organisations govern and use their data in 2025:
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NIS2 (Network and Information Systems Directive) – now in force since October 2024
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DORA (Digital Operational Resilience Act) – enforced since January 2025
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AI Act – passed in 2024, with implementation timelines now rolling out
Why It Matters
These aren’t just checkbox regulations. They demand real data traceability, system resilience, and trustworthy automation.
The requirements now include:
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Being able to track the origin of data
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Proving access controls and permissions
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Showing data update frequency and supply history
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Having full visibility into operational systems and decision-making processes
Where Verodat Comes In
Verodat helps organisations meet these demands without lifting and shifting core systems. We provide a lightweight, governed data layer that:
✅ Connects directly to your existing tools
✅ Structures and enriches your data with context, ownership, and source metadata
✅ Creates audit-ready trails for reporting, decision-making, and compliance
✅ Powers AI adoption on top of trustworthy, verified data
“With Verodat, we cut our audit prep time from weeks to hours. It’s helped us move from firefighting to proactive governance.”
– Verodat Client, Financial Services Sector
Beyond Compliance: The Opportunity for AI Readiness
These regulations don’t just demand structure—they also open doors.
With a Verodat-powered data layer, you’re not just compliant—you’re ready to:
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Build intelligent workflows
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Automate decision-making
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Use AI tools (like Copilot or ChatGPT) securely and reliably
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Give every team confidence in the data they’re working with
Let’s Chat
If you’re navigating these changes and want to turn compliance into confidence, we’d love to show you how Verodat can help.
🔗 Book a free demo
📩 Or contact us at [email protected]
Sources & Official References for this blog:
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NIS2 Directive (EU) 2022/2555
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DORA Regulation (EU) 2022/2554
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AI Act (EU) 2024/1689
Other resources
Check out some of our additional resources and find out why the future of AI for business depends on data.
Data & AI Transformation Without the Overwhelm: Start with a Use Case
Many business inefficiencies are hidden in plain sight. The key is knowing what to look for. The best candidates for AI-powered automation share one (or more) of these traits:
1. Time-Consuming Processes 🔹 The Challenge: Workflows that take hours or days due to manual effort.
🔹 With Verodat: AI automates repetitive tasks while ensuring data quality, compliance, and consistency.
Examples:
✔ Finance teams manually compiling month-end reports from multiple systems.
✔ Customer support teams chasing missing paperwork from clients before approvals.
2. Repeated Manual Tasks 🔹 The Challenge: Processes that happen over and over but lack automation.
🔹 With Verodat: AI streamlines workflow execution, reducing delays and human intervention.
Examples:
✔ Finance teams manually reconciling financial statements before presenting to leadership.
✔ Operations teams assigning customer inquiries manually instead of AI-powered routing.
3. Workflows Involving Multiple Systems 🔹 The Challenge: Employees constantly switching between systems, copying and pasting data.
🔹 With Verodat: Data is automatically structured, unified, and connected across platforms, eliminating manual cross-checking.
Examples:
✔ Finance teams pulling data from different ERPs to reconcile revenue.
✔ Call center agents manually pulling customer details from CRM and ticketing systems before responding.
4. Governance & Compliance Risks 🔹 The Challenge: High-risk data workflows that require manual oversight to meet compliance standards.
🔹 With Verodat: AI-powered governance ensures data accuracy, audit trails, and secure processing.
Examples:
✔ Ensuring audit trails for compliance-sensitive reporting (e.g., regulatory filings).
✔ Manually redacting PII (Personally Identifiable Information) before sharing internal reports.
5. Decision-Critical Workflows 🔹 The Challenge: Processes where data delays lead to errors or inefficiencies.
🔹 With Verodat: AI-driven data structuring ensures real-time, accurate insights for decision-making.
Examples:
✔ Procurement teams making supplier decisions based on outdated cost estimates.
✔ Insurance risk teams assessing claims with incomplete data.
6. Workflows Dependent on Customer or Stakeholder Input 🔹 The Challenge: Teams spending hours chasing approvals, updates, or missing information.
🔹 With Verodat: AI-powered agents automate follow-ups, track responses, and update records in real-time.
Examples:
✔ HR teams manually collecting and verifying employee data for compliance audits.
✔ Sales teams relying on back-and-forth emails to close deals instead of automated contract tracking.
Instead of AI struggling with inconsistent, unstructured data, Verodat ensures AI-powered automation delivers scalable efficiency, governance, and trust.
📌 Book a free demo of give us a call on +353 (0)1 254 8820
Real-World Examples of AI & Data Use Cases
Instead of starting from scratch, here are real business examples of how organizations have identified their AI use cases:
1. Payroll Automation in Construction
A leading construction firm found that payroll processing took 14 hours per cycle because:
✔ Data came from three disconnected systems (BrightHR, Sage Payroll, Xero).
✔ Manual data entry & verification steps caused bottlenecks and errors.
✔ Errors required rework & extra validation, slowing everything down.
Verodat automated data integration, cutting payroll processing from 14 hours to just 1 hour while ensuring 100% auditability and compliance.
2. Insurance: Automating Bordereaux Data Processing
An insurance firm was processing bordereaux files manually, dealing with:
✔ Inconsistent data formats across multiple carriers & brokers.
✔ Delays in claims & premium reconciliation.
✔ Compliance risks due to lack of audit trails.
With Verodat:
✅ Data was automatically cleaned & structured, ensuring a standardized format.
✅ AI-driven reconciliation sped up bordereaux processing by weeks.
✅ Compliance was built in, eliminating regulatory risks.
3. HR: Automating Compliance-Ready Workforce Reporting
An engineering company was pulling workforce data manually from multiple systems, causing:
✔ Data inconsistencies across HR & finance systems.
✔ Manual work taking nearly a full day each month to reconcile reporting.
✔ Limited flexibility in Power BI dashboards, requiring constant rework.
With Verodat:
✅ AI-powered rule-building automated data mapping, ensuring real-time accuracy.
✅ A structured, high-performing Snowflake database replaced fragmented spreadsheets.
✅ HR & finance teams gained instant access to clean, governed workforce data.
📌 Still not sure on your first use case? Get in touch today for a free demo and some expert help identifying it!
Your Turn: Define Your Own Use Case
With Verodat, AI adoption isn’t a massive, disruptive overhaul—it’s a strategic, step-by-step transformation.
Start by answering these:
✅ What’s an area in your business that takes too much time?
✅ Does this process involve multiple disconnected systems?
✅ Is this process dependent on stakeholder follow-ups or approvals?
✅ What would happen if this process was automated?
🚀 Ready to Identify Your First AI Use Case?
Don’t let your AI journey stall at the starting line.
With Verodat, you can go from “idea” to AI-ready data in weeks, not months.
✅ We’ll help you define the business problem
✅ Identify and connect the right data sources
✅ Automate everything in a way that’s traceable, governed, and ready for AI tools
👉 Get a Verodat demo for Free and see how simple it can be to start.
Instead of AI struggling with inconsistent, unstructured data, Verodat ensures AI-powered automation delivers scalable efficiency, governance, and trust.
📌 Get in touch & start defining your AI use case today.
Other resources
Check out some of our additional resources and find out why the future of AI for business depends on data.
How Pen Underwriting Cut Bordereaux Processing Time by 94% with Verodat
The Results:
📉 94% Faster Processing – Reports that took hours now run in minutes
📈 Enhanced Transparency – Improved visibility & understanding of partner data
🔒 Governed Data Management – Eliminated bottlenecks & ensured compliance
👨💼 Empowered Users – Business teams can process data with just a few clicks
Pen Underwriting & Verodat Use case
👉 Want to eliminate manual data headaches?
💬 Let’s talk about how Verodat can streamline your data operations.
The Client:
Pen Underwriting, a virtual insurer, manages over 500 cover holders and processes 400 bordereaux reports monthly. However, inconsistent data formats and manual consolidation caused inefficiencies and delays in reporting.
By adopting Verodat’s data supply chain management tool, Pen Underwriting transformed its data preparation process, achieving:
✅ 94% faster bordereaux processing
✅ Automated data consolidation across systems
✅ Improved transparency & governance
The Challenge:
Partner systems generated bordereaux reports in varied formats, creating operational overhead for the operations team.
- Significant delays in formatting & consolidating data
- Inconsistent data structures affecting downstream processing
- Slow market response times due to inefficient data handling
The Solution:
Pen Underwriting implemented Verodat to standardize and automate data workflows:
🚀 End-to-end data preparation in one platform
🔄 Automated data collection, cleansing & transformation
📊 Integrated partner data into downstream systems
Key Features:
✅ Built-in mapping for governance rules & auditability
✅ Data enrichment for smarter business decisions
✅ Self-service automation—reducing IT dependency
Other resources
Check out some of our additional resources and find out why the future of AI for business depends on data.
How an Engineering Firm Cut Payroll Processing Time from 14 Hours to Just 1 Hour
🚀 Verodat helped an engineering client eliminate manual data entry, reduce errors, and speed up payroll processing by 90%. Here’s how.
The Solution: AI-Powered Payroll Data Automation
📊 The Results: 90% Time Savings in Payroll Processing
📞 Want to streamline payroll like this? Let’s talk!
🚀 Payroll processing time reduced from 14 hours → 1 hour
🚀 Eliminated manual errors & duplicate data
🚀 Created a seamless, automated payroll workflow
With Verodat, the finance team no longer dreads payroll day—it just works. 💡
🔍 The Challenge: A Fragmented Payroll Process
Managing payroll in the engineering sector is more complex than it should be. Between tracking hours, calculating tax and overtime, and ensuring accurate financial reporting, finance teams spend hours manually moving data between disconnected systems.
One of our engineering clients was facing serious inefficiencies in payroll management. Their systems—BrightHR for time tracking, Sage for payroll, and Xero for financial reporting—weren’t connected, forcing them into a slow, error-prone manual process every two weeks.
Before using Verodat, the company faced several payroll issues:
- Data Silos – Payroll, time tracking, and finance systems didn’t communicate.
- Manual Data Entry – Copy-pasting from system to system led to errors.
- Time-Consuming Process – Payroll took 14 hours every pay cycle.
This meant their finance team was spending valuable time on admin instead of strategic work.
⚙️ The Solution: AI-Powered Payroll Data Automation
Verodat seamlessly connected their payroll stack, eliminating manual work. Here’s what changed:
✅ Automated Data Syncing – No more manual input across systems.
✅ Error Reduction – No more duplicate entries or miscalculations.
✅ Time Savings – Payroll now processes in just 1 hour instead of 14.
Other resources