What do you think about the idea that AI will eliminate the gap between custom and ready-made software?

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Valletta Software Development just put out a report on the future of SaaS, and one idea really caught my attention. They’re talking about using AI to close the gap between off-the-shelf SaaS and fully custom solutions, making last-mile customization seamless.

The idea is that while SaaS covers most business processes, companies still need extra configuration to fit their specific needs. Valletta suggests using AI to automatically generate API integrations based on existing workflows, adjust UI/UX in real time depending on the user’s role, optimize performance dynamically based on user behavior, and even expand functionality in line with industry standards.

How realistic is it to build something like this? I see it as emerging of a specific “frontless” SaaS mode and AI-powered addon: the AI tool elicitates requirements, generates custom UI, and ensures finishing data processing and presenting in a way the user needs.

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I’ve expanded the idea.

Right now, businesses rely on static data subscriptions, often paying for datasets that may not fully meet their needs. What if, instead, we had a real-time, AI-driven marketplace where companies could:

  • Buy insights, not just data
  • Validate accuracy before purchase
  • Merge multiple datasets into ultra-precise intelligence
  • Use AI to find unexpected data combinations for deeper insights

The marketplace would function as an AI-powered problem-solving engine.

Key features:

  • Automatically finds the best sources based on accuracy, freshness, and cost.
  • AI cross-checks sources, detects anomalies, and ensures integrity via blockchain (or using any other method).
  • Competing datasets merge into a single, high-confidence product.
  • If key data is unavailable, AI infers insights from alternative signals.
  • AI finds unexpected correlations (e.g., SEO trends + foot traffic to predict store visits).
  • Ensures GDPR, HIPAA, and CCPA compliance in real time.

I see the main and the most challenging is integrating multiple AI systems for vendor selection, data validation, fusion, and insight generation. Computational requirements for real-time analysis of diverse data streams could also present scaling challenges as the marketplace grows. Finally, the need to establish trust in automated vendor selection and data validation processes also isn’t an easy ride for sure.

What do you think?