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✔ Procurement teams making supplier decisions based on outdated cost estimates.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.
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