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02.06.2026 | Blog Why procuring business AI is becoming increasingly challenging

The market for enterprise AI search and generative AI is growing rapidly—and with it, the number of similarly attractive promises. This blog explains why this makes software procurement more difficult for companies and government agencies, and what decision-makers should look for now.

TL;DR Key points at a glance

✓ Business AI is becoming harder to compare: More and more vendors are promoting similar claims such as “secure,” “GDPR-compliant,” and “production-ready".
✓ Demos alone aren’t enough: Five key areas are crucial: productivity, explainability, data sovereignty, integration/governance, and stakeholder acceptance.
✓ Tip: Don’t rely on the sales pitch; instead, ask for concrete evidence regarding data processing, permissions, security, and the operating model.

Procuring Business AI: How to find the right solution in a market full of promises

The market for enterprise AI search and generative AI is evolving at breakneck speed. Established tech companies and major brands are expanding their portfolios, new specialized providers are entering the fray, and consulting firms are also increasingly positioning themselves in this space. At first glance, this is good news: more innovation, more choice, more momentum.

For companies and government agencies, however, this creates a very practical problem: the more providers advertise with similar messages, the more difficult it becomes to evaluate them and make a purchasing decision. Terms like “secure business AI,” “GDPR-compliant,” “sovereign,” or “productive use of GenAI” can now be found almost everywhere. For procurement teams, IT, and business units, the question is no longer whether suitable solutions exist. The real challenge is distinguishing reliable solutions from generic vendor promises.

The dilemma: More choice, less clarity

As the range of offerings grows, comparability decreases—because the differences are rarely apparent at first glance. Two solutions may appear similar in a demo yet differ significantly in crucial aspects. This applies not only to feature sets and user experience but, above all, to security architecture, data control, integration capabilities, governance, and subsequent operation. 

Looking behind the surface: The real complexity begins beyond the demo

Demos are important. They provide an initial practical impression of what a solution is capable of. What they often fail to show is under what conditions it actually delivers that performance. Purchasing business AI today is no longer just a matter of evaluating features, but a strategic assessment task. Instead of relying on brand perception or “loud” promises, you should focus on the specific requirements of your own organization:

Five criteria for procuring business AI:

1.Real-world productivity vs. demo status:

  • What does the path from the initial demo to productive everyday use look like?
  • Can your own data sources be integrated securely?
  • How does the solution handle growing data and user volumes?

2. Explainability and traceability:

  • How are answers made transparent and traceable? 
  • Are there mechanisms to reduce or prevent hallucinations?

3. Data sovereignty & security:

  • Where exactly is the data processed (on-premises, private cloud, public cloud)?
  • Is your data used as training data for AI models or kept strictly isolated?
  • What safeguards (guardrails, etc.) prevent unwanted data leakage?   

4. Integration, Governance & Auditability:

  • Does the solution integrate seamlessly into existing IT and security structures?
  • Can roles and permissions be controlled at a granular level?
  • Does the solution provide comprehensive audit logs to fully track every interaction with the AI and review it as needed?
  • How transparent is the operating model?

5. Stakeholder Acceptance:

  • Does the solution meet the requirements of business units, IT, information security, data protection/compliance, and procurement alike?

Conclusion: Guidance as a Success Factor

The market for enterprise AI search and generative AI will continue to grow—and so will the range of options. That’s why anyone purchasing business AI today needs clear guidance to make sound decisions. In a market full of similar promises, the ability to make an informed assessment becomes a competitive advantage in itself. Don’t rely solely on the sales pitch. Ask for the details behind the claims. Use clear criteria to compare solutions, and verify whether vendors are able to provide concrete, reliable answers to your security and integration questions.

Want to make sure you don’t overlook anything? Contact us for a no-obligation consultation.

Frequently Asked Questions (FAQ) about procuring business AI

Demos only show the “best-case scenario.” They often omit details about the actual architecture, data sovereignty, and scalability. What matters most is how the solution performs in a live production environment with real data and security policies.

Data sovereignty means that you retain full control over your sensitive data: data remains within your infrastructure (on-premises/cloud), is not used to train public models, and is protected against leakage through isolation mechanisms.

This depends, among other things, on the solution’s explainability and verification mechanisms. A trustworthy business AI must:

  • provide transparent source references for every answer.
  • have mechanisms for verifying the facts.
  • clearly label uncertain or unsubstantiated answers as such, rather than presenting them as facts.

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The author

Sonja Bellaire
Head of Marketing
Sonja Bellaire has worked at IntraFind since 2009 and has extensive knowledge of the enterprise search market. As a power user of iFinder in her day-to-day work, she is excited about the ever-evolving possibilities of AI-based search and analytics. She finds the diverse scenarios in which customers from all industries use IntraFind software products particularly fascinating.
Sonja Bellaire