Category: Blog
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
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.
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
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:

🔹 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.

🔹 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.

🔹 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.

🔹 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.

🔹 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.

🔹 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.
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

👉 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
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 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.
Check out some of our additional resources and find out why the future of AI for business depends on data.
AI-Ready Data Integration for Enterprises
Having your data ready for AI isn’t just an advantage—it’s essential. Verodat makes this process simple and efficient with its wide range of connectors and powerful integration tools. Whether you’re managing data from multiple systems or preparing for AI-driven innovation, Verodat is your trusted partner for AI-ready data integration for enterprises.
Seamlessly connect your systems and make your data AI-ready with Verodat’s powerful integration tools
Why Verodat?
Verodat is built to help enterprises overcome data integration challenges. With it, you can:
- Save Time: Automate your data workflows and reduce manual tasks.
- Make Smarter Decisions: Connect all your systems into a unified platform for actionable insights.
- Stay Ready for the Future: Easily scale your data capabilities and adopt AI technologies.
Seamless Connectivity with Over 640 Systems
Verodat offers over 640 pre-built connectors, making it easy to integrate your existing tools. Some of the key categories include:
- Databases: MySQL, PostgreSQL, Oracle.
- Cloud Platforms: AWS, Google Cloud Storage, Azure Data Lake.
- CRM Systems: Salesforce, HubSpot, SAP, Xero.
- Analytics Tools: Google Analytics, Adobe Analytics, Tableau.
Verodat also supports REST API connections, allowing integration with virtually any system. To see the complete list of supported tools, click here.
Who Benefits from Verodat?
Verodat is ideal for organisations that need reliable and scalable data solutions:
- Any enterprise managing complex data ecosystems.
- Decision-makers who rely on connected systems for operational efficiency.
- IT and data teams tasked with building AI-ready systems.
This makes Verodat a perfect fit for companies seeking AI-ready data integration for enterprises.
Verodat | Your AI Ready Data Partner
- Connect Everything: Link your tools and systems to eliminate data silos.
- AI-Ready Data Without Hassle: Automate processes to focus on what matters.
- Future-Proof Your Business: Build a system designed to adapt to new technologies.
With Verodat, enterprises can achieve seamless data integration, ensuring their systems are always ready for AI and beyond. Simplify workflows, make smarter decisions, and stay ahead in an increasingly data-driven world. Talk to one of our experts today and discover how Verodat can help your business.
There’s no such thing as an ‘AI Strategy’.
AI is not the goal, it’s simply the tool that can improve your business. Our digital transformation workshop cuts through the notion of ‘AI for AI’s sake’ and focuses on the real, everyday benefits AI can bring.
Check out some of our additional resources and find out why the future of AI for business depends on data.
How Senior Business Leaders Can Ensure ROI on AI Investments
ROI for AI is a hot topic as more and more organisations feel the pressure to justify spend on emerging technologies. We’ve asked Verodat’s Strategic Account Manager, Sally O’Brien to share her thoughts on ensuring return on your AI investments, and any advice for organisations considering AI tools.
It’s tempting to go big right away but ROI isn’t achieved by doing everything all at once.
Sally O'Brien, Strategic Account ManagerOne of the first things potential clients ask us about is return on investment. And honestly? We love it!
Why? Because focusing on ROI eliminates one of the biggest pitfalls we see in AI adoption: “AI for AI’s sake.”
At Verodat, we always start with one simple question: “What problem are you trying to solve?” This ensures that every AI initiative has a clear business need behind it. For some clients, it’s a specific operational bottleneck, like fixing a time-consuming payroll task. For others, it’s broader – streamlining processes, better understanding their business, or achieving automation efficiencies. No matter the case, AI should be a tool to execute your strategy, not the strategy itself.
Start Small not Slow
When organisations first dip their toes into AI, they can feel overwhelmed. The possibilities are endless, and it’s tempting to go big right away. But here’s the thing: ROI isn’t achieved by doing everything all at once.
We push our clients to focus on a single use case during a trial period. Why? Because it keeps things simple and measurable. One of our clients recently tackled a manual payroll process that was eating up two full days every week. Using Verodat and AI, they eliminated that task almost entirely—freeing up their team’s time for more strategic work. The ROI was immediate, the win was clear, and it paved the way for the next use case.
By focusing on outcomes like time savings, cost savings, enhanced quality of insights, and enabling new capabilities, businesses can see tangible results from day one. These metrics make it easy to quantify success and build confidence internally. Think of AI adoption as an iterative process: one challenge, one solution, one win at a time. Not only does this approach simplify adoption, but it also lets businesses justify AI internally without waiting for months (or years!) to see value.
Why ROI in AI is Different
Traditional technology rollouts often follow the “crawl-walk-run” approach: start slow, build confidence, then scale. But with AI, that timeline no longer works. AI evolves so rapidly that if you’re waiting a year to see ROI, the tool you’re using might already be outdated. This is where Verodat comes in.
The cost of AI tools themselves is often low—many off-the-shelf options start at just €10 per user. The real challenge is connecting those tools to your data. That’s the piece most organisations miss, and it’s where we thrive. Verodat brings all your scattered data together, enriches it, and creates an AI-ready data layer. This makes deploying AI faster, safer, and far more effective.
A Quick Win: The Verodat Difference
Let’s talk about why Verodat is so effective at delivering ROI. It’s not just about saving time (though we do plenty of that). It’s about transforming how businesses handle their data.
Take Pen Underwriting, for example. They manage hundreds of bordereaux reports every month—a process that used to take hours of manual effort. With Verodat, they automated the entire workflow, cutting processing time by 94%. That’s not just faster; it’s transformative. By improving data quality, reducing human error, and enabling more strategic decision-making, the ROI wasn’t just about saving time—it also unlocked new opportunities for operational efficiency and growth.
Whether it’s eliminating human error, reducing operational costs, or enabling teams to focus on strategic goals, Verodat delivers ROI that’s immediate and tangible.
It’s Not Just About Tools—It’s About Strategy
Here’s a hard truth: no AI tool will deliver ROI on its own. Tools are just tools—they need the right data, structure, and strategy behind them. That’s why we designed Verodat to integrate seamlessly into your existing systems and workflows.
Our approach is simple:
- Start with the business challenge. We help you define the problem you’re trying to solve, ensuring every AI initiative is grounded in ROI.
- Build the foundation. Verodat creates a centralised, AI-ready data layer, so your tools have everything they need to work effectively.
- Scale with confidence. Once you’ve proven ROI with one use case, you can build on that success, expanding AI across your organisation.
Less Risk, Bigger Rewards
At the end of the day, AI is only as good as the data behind it. With Verodat, you get more than a tool – you get a strategic partner that reduces the risk of AI adoption while maximising its rewards. Whether it’s faster time-to-value, lower operational costs, improved quality of insights, or enabling entirely new capabilities, Verodat delivers ROI you can count on.
So, what’s the first problem your business needs to solve? Let’s start there.
There’s no such thing as an ‘AI Strategy’.
AI is not the goal, it’s simply the tool that can improve your business. Our digital transformation workshop cuts through the notion of ‘AI for AI’s sake’ and focuses on the real, everyday benefits AI can bring.
Check out some of our additional resources and find out why the future of AI for business depends on data.
Reinventing Renting with AI: HomeHak’s Groundbreaking Journey
The rental market is undergoing a seismic shift, and HomeHak is at the forefront. By flipping the traditional model, HomeHak focuses on showcasing prospective tenants rather than just properties. This revolutionary approach, combined with AI integration through Verodat, has set a new standard in renting.
A Personal Touch at Scale:
HomeHak’s unique model organises tenant data into personalised CVs, giving renters a competitive edge. However, managing sensitive data was a challenge. Verodat helped HomeHak securely refine, organise, and leverage this data to create a highly personalised, scalable rental experience—all while maintaining data privacy as a top priority.
How AI Changed the Game:
Through their partnership with Verodat, HomeHak deployed AI to streamline operations, including automating cover letter creation for tenant CVs. The results? Faster workflows, better tenant representation, and a scalable solution that retains the human touch.
Looking Ahead:
With five active use cases and more on the horizon, HomeHak is redefining the rental experience. Their story proves that embracing AI isn’t about replacing processes—it’s about reimagining them.
Conclusion:
HomeHak’s journey is a testament to how businesses can leverage AI to scale operations while staying true to their core values. Curious about how AI can change how you work? Let Verodat guide you.
Listen to full conversation here:

There’s no such thing as an ‘AI Strategy’.
AI is not the goal, it’s simply the tool that can improve your business. Our digital transformation workshop cuts through the notion of ‘AI for AI’s sake’ and focuses on the real, everyday benefits AI can bring.
Check out some of our additional resources and find out why the future of AI for business depends on data.
Embracing AI: Sammin Engineering’s Transformational Journey with Verodat
In today’s fast-paced business landscape, AI is more than a buzzword—it’s a transformative force. Yet, many companies struggle to harness its potential. Sammin Engineering was no exception until they partnered with Verodat to address their operational challenges.
Unveiling the Problem:
Sammins key pain point? Reporting and payroll inefficiencies. A manual payroll process required two employees and three days every two weeks, diverting resources from strategic tasks. The discovery phase with Verodat revealed hidden inefficiencies, unlocking opportunities for automation.
The Verodat Solution:
By streamlining Sammins payroll system, Verodat delivered significant time savings, reducing processing from three days to less than one. These efficiencies empowered Sammin to refocus on financial analysis, unlocking actionable insights for decision-making.
AI Adoption: A Toe in the Water
Though not initially seeking AI, Sammins journey with Verodat illuminated its potential. From job analysis to future projects like automated site status reports, the possibilities became clear. Verodat provided a hands-on introduction, breaking down skepticism through practical application.
Key Takeaway:
As CEO, Paul Sammin aptly put it: “We’re still in the ‘dial up’ phase of AI—early adopters will gain the edge.” With Verodat’s expertise, Sammin has embraced AI, reclaiming time and enhancing operations.
Conclusion:
Sammin’s story exemplifies how businesses can begin their AI journey, leveraging technology to solve practical problems while uncovering transformative potential. If you’re ready to step into AI, start with a partner who understands your challenges—start with Verodat.
Listen to full conversation here.

There’s no such thing as an ‘AI Strategy’.
AI is not the goal, it’s simply the tool that can improve your business. Our digital transformation workshop cuts through the notion of ‘AI for AI’s sake’ and focuses on the real, everyday benefits AI can bring.
Check out some of our additional resources and find out why the future of AI for business depends on data.
AI Workshop Roundup: Debunking Myths and Unlocking Practical Uses
Missed our recent webinar on AI in business? Here’s a quick rundown of key insights you don’t want to miss. If you’re ready to move beyond the AI hype and discover how it can truly elevate your business, check out the recording for more depth and actionable advice.
There’s no such thing as an ‘AI Strategy’.
AI is not the goal, it’s simply the tool that can improve your business. Our workshop cuts through the notion of ‘AI for AI’s sake’ and focuses on the real, everyday benefits AI can bring.
Debunking Common Myths About AI in Business:
- Myth #1: AI is too complicated – Many businesses hesitate to explore AI, assuming it’s too technical, expensive, or resource-intensive. In reality, AI solutions are increasingly accessible and manageable—even for small teams.
- Myth #2: AI is overhyped – While AI’s potential is immense, success lies in identifying practical use cases instead of jumping on the latest AI trend. Our speakers shared how to focus on AI that delivers real ROI, not just novelty.
- Myth #3: AI doesn’t work as expected – AI outcomes depend heavily on data quality. Poor results are often due to issues with the data that powers the AI, not the technology itself.
The Real Game-Changer: AI-Ready Data:
AI is only as powerful as the data you provide. Building an AI-ready data layer ensures that the tools you deploy, such as Excel Co-pilot or ChatGPT, can function optimally.
Our team discussed four pillars for making data AI-ready: context, quality, performance, and supply. With these in place, AI can generate accurate, reliable, and actionable insights.
Three Steps to Get AI-Ready Data:
We share a simple three-step framework for achieving AI-ready data:
- Define the Business Challenge: Begin with a clear goal for AI, like improving customer retention or automating reporting.
- Identify Needed Data: Focus on the exact data needed to address your challenge.
- Establish Reliable Data Feeds: Ensure that data is consistently up-to-date and accessible.
Client Success Stories: AI in Action:
Three unique case studies demonstrated how different industries used AI-ready data to drive remarkable results:
- Retail: A large retailer cut decision-making time in half by automating daily reports with Excel Copilot, giving the team real-time insights.
- Insurance: An insurer reduced monthly data processing time from 45 minutes per file to just four minutes, enhancing their risk response speed.
- Real Estate: A real estate platform used AI to match users with ideal properties, resulting in a better user experience and competitive edge.
Expert Panel Insights:
Pat Drinan, CEO of HomeHak, and our Verodat experts dove into the practicalities of implementing AI, emphasising the importance of getting your data structure in place before scaling up AI applications.
Ready to see it all in action?
For those who couldn’t attend live, this was only a preview of what the session covered. Sign up for the full recording to get inspired by real-world examples, expert advice, and practical steps to make AI work for you.