One 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 AI evolves so rapidly that if you’re waiting a year to see ROI, the tool you’re using might already be outdated.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:

1. Start with the business challenge. We help you define the problem you’re trying to solve, ensuring every AI initiative is grounded in ROI.
2. Build the foundation. Verodat creates a centralised, AI-ready data layer, so your tools have everything they need to work effectively.
3. 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.

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:

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.

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.

Microsoft and Verodat

The key to unlocking the true value of Microsoft Co-Pilots is AI Ready Data and Verodat is the leading platform in just that – getting businesses data AI Ready.  

Verodat, coupled with this new wave of Microsoft Co-Pilot can power an entirely new, efficient and less expensive operating model for businesses. 

The New Microsoft Co-Pilots: What’s Changing? 

Microsoft Co-Pilots are evolving far beyond simple virtual assistants. These AI-powered tools are now capable of not only automating tasks but also generating deep insights, making recommendations, and even producing comprehensive reports. They can analyse trends, identify patterns, and provide predictive analytics—all without the need for human intervention. 

For example, imagine asking Microsoft Co-Pilot within Excel to create a detailed sales report or predict revenue trends for the upcoming quarter. In seconds, it gathers relevant data, processes it, and delivers a comprehensive, AI-generated report. But while Co-Pilots promise significant advancements, their performance is still directly tied to one crucial factor: the quality of the data they are working with.  

The Impact on Analytics and Reporting 

With the introduction of Microsoft Co-Pilots, the analytics and reporting landscape is about to undergo a radical transformation. Here’s how: 

• Enhanced Predictive Analytics: One of the standout features of Co-Pilots is their ability to harness machine learning to identify trends and predict outcomes. Whether it’s forecasting sales, detecting potential operational bottlenecks, or analysing customer behaviour, businesses can rely on AI to provide forward-looking insights. 
• Seamless Reporting Automation: Co-Pilots can automate routine reporting tasks, freeing up analysts and decision-makers to focus on strategic initiatives. Complex reports, financial summaries, and operational dashboards that once took days to compile can now be created in a matter of minutes. 
• Natural Language Querying: Users no longer need advanced technical skills to engage with data. Co-Pilots enable natural language queries—meaning employees can ask questions in plain English and get detailed, data-driven answers. This democratises data access, enabling everyone in the organisation to tap into insights without needing deep technical expertise. 

Why AI-Ready Data is Key: Verodat’s Solution 

While the potential of Microsoft Co-Pilots is undeniable, they are only as good as the data they work with. AI tools thrive on clean, structured, and high-quality data. Poor-quality data—whether incomplete, unstructured, or inconsistent—can significantly hamper the effectiveness of Co-Pilots, leading to inaccurate insights, flawed predictions, and misguided decisions. This is where Verodat’s AI-Ready Data comes into play. 

Verodat helps organisations get their data AI Ready, without the need for large data projects. Our SaaS platform is designed to ensure that businesses are equipped with high-quality, structured, and reliable data, ready to be used by advanced AI tools like Microsoft Co-Pilots.  

Here’s how Verodat helps ensure the success of AI-powered analytics and reporting: 

• Data Cleansing and Structuring: Verodat’s platform automates the process of cleaning and structuring data. This means removing duplicates, filling in missing values, standardising formats, and ensuring consistency across all data sources. Clean, structured data is critical for Co-Pilots to function effectively and deliver reliable insights. 
• Data Integration: Most businesses today operate in complex data environments, with information spread across multiple platforms and formats. Verodat integrates disparate data sources—whether from CRM systems, financial platforms, or operational databases—into a unified, accessible dataset. This unified view is key for Co-Pilots to perform accurate, cross-functional analysis. 
• Real-Time Data Readiness: For organisations looking to leverage Co-Pilots for real-time analytics, the data must be continuously updated and accessible. Verodat ensures that businesses have near real-time, accurate data at their fingertips, empowering Co-Pilots to provide up-to-the-minute insights. 
• Scalability and Flexibility: As businesses grow, so do their data needs. Verodat is designed to scale alongside your organisation, ensuring that as your data complexity increases, your AI tools—like Co-Pilots—continue to function seamlessly.   

The Road Ahead: How Businesses Can Prepare 

As Microsoft Co-Pilots become more embedded in business workflows, the competitive advantage will go to companies that are prepared to use them effectively. The key to leveraging this powerful AI lies not only in data readiness but in AI readiness. Organisations must prioritise data quality, integration, and accessibility to truly benefit from the advancements in AI-powered analytics and reporting. 

By working with Verodat to get their data AI Ready, businesses can: 

• Ensure their data is optimised for AI tools, maximising the impact of Co-Pilots. 

• Accelerate time-to-insight by automating reporting and analytics tasks. 

• Enhance decision-making through real-time, AI-driven insights and predictions. 

• Future proof their process to ensure they are in the best position to avail of all the newest AI innovations. 

In a world where data is the new currency, having the right data infrastructure in place will be crucial for businesses to thrive in the age of AI. 

Conclusion 

The new wave of Microsoft Co-Pilots promises to change the game when it comes to analytics and reporting. With AI at the helm, businesses can look forward to real-time insights, predictive analytics, and the automation of complex tasks. However, without high-quality, AI-ready data, the full potential of these tools may remain untapped. Verodat offers businesses the foundation they need to succeed, ensuring that Microsoft Co-Pilots deliver accurate, actionable, and timely insights. 

As organisations embrace the future of AI-powered productivity, partnering with Verodat can help unlock the full value of Microsoft Co-Pilots and transform how analytics and reporting are done. 

Why Connect Bedrock to Verodat? 

Connecting Verodat with Bedrock brings together the strengths of both platforms, offering unparalleled flexibility and ease in managing AI workflows. With this integration, we simplify how you can connect your Verodat AI ready data to the right AI model for any specific task without the hassle of infrastructure management.  Ensuring that you always have full provenance on your AI execution. 

Here’s a quick breakdown of what makes this feature a significant change: 

Unified Access to Multiple AI Models

Different AI models come with their own strengths. With Bedrock’s integration into Verodat, you can easily switch between models based on your needs. Whether you’re running small queries or handling complex data visualisation, you can always select the model that best fits the task—whether it’s speed, accuracy, or specialisation. 

For instance: 

• Claude Haiku is an ideal choice for handling lightweight queries where speed and efficiency matter most. 
• Other models might excel in complex data visualizations or processing-intensive tasks. 

This gives you flexibility and precision, ensuring you’re always using the right tool for the job.  As an added bonus, as new more powerful models are released you can simply swap out the model and avail of the latest upgrade. 

Simplified Configuration

Say goodbye to the complicated setup processes and managing multiple infrastructures. Verodat now lets you seamlessly interact with different AI models in Bedrock from one interface—no need for endless configurations.

Optimized Performance and Cost Efficiency

Using the right model for the right task not only improves performance but also optimizes costs. By selecting models based on the processing power required, you can save time and money without compromising on output quality. For example, lightweight models like Claude Haiku are perfect for quick responses, while more specialized models can be selected when needed. 

No More Infrastructure Replication

In a traditional setup, connecting to multiple AI models requires duplicating infrastructure for each one—a time-consuming and costly effort. Verodat eliminates this headache by providing a single, clean connection point to Bedrock, enabling seamless access to all the models you need. It’s a major boost in efficiency, especially for teams managing large datasets or working across multiple AI-driven projects. 

Workflows and Queries Simplified

Verodat’s new integration also means you can structure queries, instructions, and workflows in a more streamlined manner. You can manage everything from one central interface while still tapping into the diverse capabilities of Amazon Bedrock’s models. Whether you’re conducting a simple query or orchestrating a complex workflow, the integration allows for smooth AI querying without needing to switch between tools. 

Get Started Today 

With the new Bedrock integration, Verodat users can now take advantage of powerful AI capabilities like never before. Effortlessly switch between models, reduce configuration time, optimize costs, and manage everything from one platform. The future of AI-driven data management is here, and it’s simpler, smarter, and more efficient than ever. 

Verodat ensures your data has data has context, supply status and attribution, the crucial elements that AI Analytics need to create trusted results. This AI Ready Data allows you to get AI analytics tools working in your business, easily and quickly, for verifiable and defendable outcomes.  

Verodats new Bedrock integration is already powering operational workflows for our clients and accelerating their AI adoption and effectiveness in their business. Ready to see how Bedrock and Verodat can transform your AI workflows? Get in touch with one of our experts. 

Not ALL Data, the RIGHT Data.

Our Framework allows organisations to move away from trying to corral all the data they have and instead focus simply on the data their AI needs.

For AI to be effective, it requires the right data. Data that is context-rich, continuously supplied, and reliably sourced.

For AI to be trusted, the outcomes must be verifiable, have full provenance and be defendable.

The Lean Data Management for AI Framework is designed to meet these needs.

The Framework

Our lean approach to data management for AI, allows organisations to quickly understand their data and deploy AI benefits across their organisations in a fraction of the time it would take to even begin to scope a traditional data management programme.

We illustrate how the journey from a business problem to a working AI solution should progress. By addressing data challenges and reaching an enriched data layer through a data supply chain, the framework paves the way for effective AI applications, ultimately driving innovation and better decision-making within any organisation.

All within familiar business tools like Excel or GPT’s and without the need for large analytics teams or deep tech expertise.

Next Steps.

At Verodat, we work with organisations from a variety of industries to easily help them implement this framework in their organisations and allow them to start their AI journey without complication. Allowing them to get the most out of AI analytics tools, faster, safer and with a lower total cost of ownership. Saving them time and money, and making life easier for them and their teams.

If you would like to know more about how this could work for your businesses, please get in touch.

AI Ready Data – The Key to Valuable AI for Business.

Businesses are making leaps and bounds in the area of AI Analytics, once they have AI Ready Data.

In a recent interview with Newstalks Breakfast Business Show, Verodat CEO Thomas Russell discusses the fatigue around the ‘AI Hype’ and how businesses can get real value from AI today.

Curious to learn more? Check out the full interview with Newstalk here.