NIS2, DORA & the EU AI Act Are Coming โ€” Is Your Data Ready?

With new EU regulations tightening around cyber resilience, operational traceability, and responsible AI โ€” organisations face serious pressure to demonstrate data control and compliance.


But while the burden is increasing, the solution doesnโ€™t have to be complicated. Verodat helps you meet these requirements with governed, auditable, AI-ready data โ€” without overhauling your systems.

Verodat
  • Traceability by Default
  • AI Governance Made Simple
  • Cross-Team Visibility
  • Future-proof your business

 

๐Ÿ‘‰ Worried about compliance headaches or AI risk?
๐Ÿ’ฌ Letโ€™s talk about how Verodat simplifies this.

Three major regulations are transforming how organisations govern and use their data in 2025:

  • NIS2 (Network and Information Systems Directive) โ€“ now in force since October 2024

  • DORA (Digital Operational Resilience Act) โ€“ enforced since January 2025

  • AI Act โ€“ passed in 2024, with implementation timelines now rolling out


Why It Matters

These arenโ€™t just checkbox regulations. They demand real data traceability, system resilience, and trustworthy automation.

The requirements now include:

  • Being able to track the origin of data

  • Proving access controls and permissions

  • Showing data update frequency and supply history

  • 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:

โœ… Connects directly to your existing tools
โœ… Structures and enriches your data with context, ownership, and source metadata
โœ… Creates audit-ready trails for reporting, decision-making, and compliance
โœ… Powers AI adoption on top of trustworthy, verified data

โ€œWith Verodat, we cut our audit prep time from weeks to hours. Itโ€™s helped us move from firefighting to proactive governance.โ€
โ€“ Verodat Client, Financial Services Sector


Beyond Compliance: The Opportunity for AI Readiness

These regulations donโ€™t just demand structureโ€”they also open doors.

With a Verodat-powered data layer, youโ€™re not just compliantโ€”youโ€™re ready to:

  • Build intelligent workflows

  • Automate decision-making

  • Use AI tools (like Copilot or ChatGPT) securely and reliably

  • Give every team confidence in the data theyโ€™re working with

Letโ€™s Chat

If you’re navigating these changes and want to turn compliance into confidence, weโ€™d love to show you how Verodat can help.

๐Ÿ”— Book a free demo
๐Ÿ“ฉ Or contact us at [email protected]

Sources & Official References for this blog:

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

๐Ÿ”น The Challenge: Workflows that take hours or days due to manual effort.
๐Ÿ”น With Verodat: AI automates repetitive tasks while ensuring data quality, compliance, and consistency.

Examples:
โœ” Finance teams manually compiling month-end reports from multiple systems.
โœ” Customer support teams chasing missing paperwork from clients before approvals.

2. Repeated Manual Tasks

๐Ÿ”น The Challenge: Processes that happen over and over but lack automation.
๐Ÿ”น With Verodat: AI streamlines workflow execution, reducing delays and human intervention.

Examples:
โœ” Finance teams manually reconciling financial statements before presenting to leadership.
โœ” Operations teams assigning customer inquiries manually instead of AI-powered routing.

3. Workflows Involving Multiple Systems

๐Ÿ”น The Challenge: Employees constantly switching between systems, copying and pasting data.
๐Ÿ”น With Verodat: Data is automatically structured, unified, and connected across platforms, eliminating manual cross-checking.

Examples:
โœ” Finance teams pulling data from different ERPs to reconcile revenue.
โœ” Call center agents manually pulling customer details from CRM and ticketing systems before responding.

4. Governance & Compliance Risks

๐Ÿ”น The Challenge: High-risk data workflows that require manual oversight to meet compliance standards.
๐Ÿ”น With Verodat: AI-powered governance ensures data accuracy, audit trails, and secure processing.

Examples:
โœ” Ensuring audit trails for compliance-sensitive reporting (e.g., regulatory filings).
โœ” Manually redacting PII (Personally Identifiable Information) before sharing internal reports.

5. Decision-Critical Workflows

๐Ÿ”น The Challenge: Processes where data delays lead to errors or inefficiencies.
๐Ÿ”น With Verodat: AI-driven data structuring ensures real-time, accurate insights for decision-making.

Examples:
โœ” Procurement teams making supplier decisions based on outdated cost estimates.
โœ” Insurance risk teams assessing claims with incomplete data.

6. Workflows Dependent on Customer or Stakeholder Input

๐Ÿ”น The Challenge: Teams spending hours chasing approvals, updates, or missing information.
๐Ÿ”น With Verodat: AI-powered agents automate follow-ups, track responses, and update records in real-time.

Examples:
โœ” HR teams manually collecting and verifying employee data for compliance audits.
โœ” 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.

๐Ÿ“Œ 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:
โœ” Data came from three disconnected systems (BrightHR, Sage Payroll, Xero).
โœ” Manual data entry & verification steps caused bottlenecks and errors.
โœ” 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:
โœ” Inconsistent data formats across multiple carriers & brokers.
โœ” Delays in claims & premium reconciliation.
โœ” Compliance risks due to lack of audit trails.

With Verodat:
โœ… Data was automatically cleaned & structured, ensuring a standardized format.
โœ… AI-driven reconciliation sped up bordereaux processing by weeks.
โœ… 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:
โœ” Data inconsistencies across HR & finance systems.
โœ” Manual work taking nearly a full day each month to reconcile reporting.
โœ” Limited flexibility in Power BI dashboards, requiring constant rework.

With Verodat:
โœ… AI-powered rule-building automated data mapping, ensuring real-time accuracy.
โœ… A structured, high-performing Snowflake database replaced fragmented spreadsheets.
โœ… HR & finance teams gained instant access to clean, governed workforce data.


๐Ÿ“Œ Still not sure on your first use case?ย  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 isnโ€™t a massive, disruptive overhaulโ€”itโ€™s a strategic, step-by-step transformation.

Start by answering these:
โœ… Whatโ€™s an area in your business that takes too much time?
โœ… Does this process involve multiple disconnected systems?
โœ… Is this process dependent on stakeholder follow-ups or approvals?
โœ… What would happen if this process was automated?


๐Ÿš€ Ready to Identify Your First AI Use Case?

Donโ€™t let your AI journey stall at the starting line.
With Verodat, you can go from โ€œideaโ€ to AI-ready data in weeks, not months.

โœ… Weโ€™ll help you define the business problem
โœ… Identify and connect the right data sources
โœ… Automate everything in a way thatโ€™s traceable, governed, and ready for AI tools

๐Ÿ‘‰ 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.

๐Ÿ“Œ 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:

๐Ÿ“‰ 94% Faster Processing โ€“ Reports that took hours now run in minutes
๐Ÿ“ˆ Enhanced Transparency โ€“ Improved visibility & understanding of partner data
๐Ÿ”’ Governed Data Management โ€“ Eliminated bottlenecks & ensured compliance
๐Ÿ‘จโ€๐Ÿ’ผ Empowered Users โ€“ Business teams can process data with just a few clicks

Pen Underwriting & Verodat Use case

๐Ÿ‘‰ Want to eliminate manual data headaches?
๐Ÿ’ฌ Letโ€™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 Verodatโ€™s data supply chain management tool, Pen Underwriting transformed its data preparation process, achieving:
โœ… 94% faster bordereaux processing
โœ… Automated data consolidation across systems
โœ… 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:
๐Ÿš€ End-to-end data preparation in one platform
๐Ÿ”„ Automated data collection, cleansing & transformation
๐Ÿ“Š Integrated partner data into downstream systems

Key Features:
โœ… Built-in mapping for governance rules & auditability
โœ… Data enrichment for smarter business decisions
โœ… Self-service automationโ€”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

๐Ÿš€ Verodat helped an engineering client eliminate manual data entry, reduce errors, and speed up payroll processing by 90%. Hereโ€™s how.

The Solution: AI-Powered Payroll Data Automation

๐Ÿ“Š The Results: 90% Time Savings in Payroll Processing

๐Ÿ“ž Want to streamline payroll like this? Letโ€™s talk!

๐Ÿš€ Payroll processing time reduced from 14 hours โ†’ 1 hour
๐Ÿš€ Eliminated manual errors & duplicate data
๐Ÿš€ Created a seamless, automated payroll workflow

With Verodat, the finance team no longer dreads payroll dayโ€”it just works. ๐Ÿ’ก

๐Ÿ” 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 systemsโ€”BrightHR for time tracking, Sage for payroll, and Xero for financial reportingโ€”werenโ€™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 โ€“ Payroll, time tracking, and finance systems didnโ€™t communicate.
  • Manual Data Entry โ€“ Copy-pasting from system to system led to errors.
  • Time-Consuming Process โ€“ Payroll took 14 hours every pay cycle.

This meant their finance team was spending valuable time on admin instead of strategic work.

โš™๏ธ The Solution: AI-Powered Payroll Data Automation

Verodat seamlessly connected their payroll stack, eliminating manual work. Hereโ€™s what changed:

โœ… Automated Data Syncing โ€“ No more manual input across systems.
โœ… Error Reduction โ€“ No more duplicate entries or miscalculations.
โœ… Time Savings โ€“ Payroll now processes in just 1 hour instead of 14.

Other resources

Check out some of our additional resources and find out why the future of AI for business depends on data.