Artificial intelligence and AI agents
Free time from your team, empower them with digital colleagues that support their work.
Do more with the same people, powered by AI digital workers.
With skilled workers in short supply, every hour counts. AI digital workers handle repetitive tasks and information processing, automating over 20% of work. This is equivalent to 8 FTEs hours saved for every 40 employees.
Our AI Agents work alongside your team, fully integrated into your systems and powered by the Flawless Workflow Data & AI Platform.
Time is too valuable to waste. Empower your team.
Flawless Workflow’s AI Agents go beyond single-task AI tools. They connect to your systems, use live data, and automate complete workflows from processing information to updating records and triggering next steps.
Powered by your connected data foundation, they understand your organization and follow your rules, so you stay in control while work gets done faster, easier, and more consistently.
Documentation taken care of
From client information and tenders to supplier reports and service records, our Documentation AI Agent processes documents the way you need. The information flows automatically into your systems, dashboards, or new documents.
Your data always reliable with the Data Quality Agent
The Data Quality & Check Agent continuously scans your systems, detects inconsistencies, and recommends fixes for errors before they cause problems. It keeps every dataset from operation, management to HR and finance clean, consistent, and ready for use in reports, dashboards, and AI applications.
Talk to your data
Instead of searching through systems, reports or dashboards, just ask your question. Talk to Your Data uses private, secure AI to understand context, analyze connected, and instantly deliver clear answers, explanations, and trends.
No waiting — just a quick conversation with your data.
Customer in the spotlight
Municipality of Enschede/Losser
€78,000
2,040
€1,000
See what it means for your industry through practical use cases
Frequently asked questions
A Data & AI platform is an integrated solution that brings together, manages and uses data from various sources to work smarter.
It combines technology for data collection, storage and analysis with AI applications that turn insights into action.
In short: a Data & AI platform not only provides reliable data, but also makes it possible to use that data directly for automation, predictions and decision-making.
One big Data & AI platform can do the same on a much larger scale — it processes massive amounts of data and supports advanced AI models for more complex analyses.
A modern Data & AI platform is a contemporary approach to data management, in which data is not only stored but also used immediately.
It's mostly cloud-based, scalable, and uses AI and machine learning to automatically generate insights, recognize patterns, and optimize processes.
In this way, the platform grows with the organization and raw data turns into smart decisions and concrete actions.
No. In fact, a data warehouse is even part of a data platform.
A data warehouse primarily serves as storage, while a full-fledged data platform can store, analyze, secure and transform data within one infrastructure. In summary, a data platform contains all the tools, technology and processes for working with data. A Data & AI platform also forms the basis for AI applications that turn insights into action.
A data platform is important because it ensures that all the organization's data comes together in one central location. As a result, everyone works with the same reliable information and decisions can be made based on facts rather than feelings. The platform saves time and prevents errors because data is automatically collected, cleaned and updated.
In addition, it forms the basis for artificial intelligence, because AI can only function properly with structured and qualitative data. A data platform also helps to deal with data securely and in accordance with the AVG, because it is clear who has access to what information. Finally, a data platform grows with the organization, making it a sustainable investment that provides more and more value as the organization continues to digitize.
A data platform can be linked to almost all systems in which data is recorded within an organization. For example, consider:
- Financial systems such as Exact, AFAS or Visma
- HR and salary systems such as Youforce, Loket.nl or Nmbrs
- ERP systems such as SAP, Microsoft Business Central, or Ridder iQ
- CRM systems such as HubSpot, Salesforce, or Teamleader
- Planning and registration systems such as SDB Planning, ONS or TimeChimp
- Project and document management systems such as SharePoint, Monday.com, or Autodesk
- Web shops and marketing tools such as WooCommerce, Mailchimp, or Google Analytics
- Machines or sensors
These systems are linked to the data platform via APIs, database dumps or file exports. This creates one central source of truth, bringing all information together for reports, dashboards and AI applications.
No. Medium-sized organizations in particular benefit strongly, because they often use many systems but do not yet have a central data layer. A data platform also grows with the organization. A data platform often pays for itself within one year for medium-sized organizations.
Depending on the size and number of systems, this is usually around 3 months before the first working version, including the first dashboards and reports. The implementation lead time depends on the number of links, the number of dashboards and the amount of data & AI solutions that are desired.
Curious about what is possible?
Whether you’re curious about AI, data, or improving your organization, or want to dive into a use case or see a demo, our experts are here to help. Let’s brainstorm together!
