AI? That starts with the right data. And the right data? That's what you're just asking your customer.

The reality: AI is so smart when your data is complete

We don't need to explain to you how crucial good data is. But did you know that:

• 81% of AI projects fail partly due to poor data quality?
• Organizations on average Spend 60— 80% of their time on data cleaning before they really get to AI or reports?
• The costs of erroneous data for large organizations can reach up to billions per year?

And yet, in many CRM or ERP systems, addresses are outdated, information about preferred channels is missing, or critical contact details are missing.

Right data: Just ask your customer

At POM, we believe in a smarter approach to data validation and data enrichment. No expensive data projects or manual cleanup actions, but:

1. Actively ask at the source, or your customer
   With POM, you can approach your customers via email, text message or other channels with a simple request:
   “Would you like to check if the information below is still correct?”
   They get a user-friendly page where they can check, change or supplement data.
2. Real-time processing in your systems
   Customer feedback is automatically incorporated into your CRM or debtor management. No manual entry, no interpretation errors.
3. Double opt-in for AVG-proof enrichment
   Sometimes you want more than just checking: for example, collecting an additional email address or adding a mobile number. With POM, you can do this in a safe and transparent way. Customers explicitly consent to the use of additional data via a double opt-in — fully in line with the GDPR.

Why does this work so well?

• Actuals: your customer knows best what's right! And be the first to know if anything changes.
• Efficient: no extra pressure on your team, everything is processed automatically.
• Trustworthy: direct confirmation and updates from the customer, not via uncertain data brokers and AVG proof.
• Ready for AI: you build a stable basis for data-driven control, credit management and predictive models.

Practical example

One of our customers noticed that 23% of debtors had incorrect address or contact information. Thanks to one targeted validation campaign via POM:

• 64% of records were checked within 5 days,
• more than 2,000 records were immediately enriched or corrected,
• and this data was automatically synchronized with the customer's CRM system.

The result: higher accessibility, less return mail, better conversion to payment requests and immediately usable data for other campaigns.

Data validation and data enrichment: the start of every AI project

As an organization, do you want to get started with AI, predictive credit management, or smart dashboards? Then it starts here: with valid, current and complete customer data. And that doesn't have to be a big or expensive project! With POM, it can be done smartly, quickly and automatically.