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Online marketplace · Case study

How a leading marketplace unlocked 100+ AI use cases across its systems.

From data silos to a complete data platform in a matter of weeks.

100+
AI use cases running against previously hard-to-reach data
Days
to connect a new use case, instead of weeks of custom programming
9
teams across the company build their own data tools

This customer is one of Europe's largest online marketplaces. Across customer support, sales, finance, and marketing, the company runs critical operations on a portfolio of internal systems. Each of those systems holds data the team wanted its AI tools to act on. Most of it was out of reach.

The challenge

More AI ideas than the team could connect at once

The company had a fast-growing roadmap of AI use cases. The data those use cases needed lived across a portfolio of mature, business-critical systems, each one robust and purpose-built for the operations it runs rather than for feeding data to AI tools. Making that data available to AI, and structured cleanly enough to act on, would have meant weeks of custom programming per use case, plus ongoing maintenance for every system change.

The company also held a high bar for AI governance: every read and every write needed to be controlled, attributable, and safe, with a clear view of exactly what data AI agents could touch.

So the team had more AI ideas than it could connect at once, not for lack of good ideas, but because wiring each system up to AI the right way took real engineering effort.

What they did with superglue

A governed data platform that makes the right data legible to AI

The company used superglue to implement a data platform connecting to its systems and making the data its teams needed legible to AI, with governance built in.

  • Connected previously buried data in minutes. superglue connected to internal systems and brought data into one place. Teams described what they needed and got data access in minutes. No week-long data engineering, no maintenance of custom integration code.
  • Built scoped data access for AI tools. superglue exposes specific, controlled data tools, each scoped to least-privilege access so that LLMs and users only see the data they are meant to see.
  • Kept every action auditable. Every data change is logged: who triggered it, what data was changed and how, producing an audit trail that massively simplifies AI governance tracking.
  • Picked up across teams fast. superglue is natural-language-first, so use cases can be implemented across teams, by non-technical users. Customer support, sales, finance, and marketing all built their own data tools.
What changed
  • Over 100 AI use cases now run against data that was previously out of reach.
  • New use cases connect in days, not the weeks of custom programming they'd have required before.
  • Teams across the org build their own tools instead of waiting on an integration backlog.
  • Every access is logged, controlled, and reversible, with full visibility into what AI can touch.
The outcome

From one use case to org-wide in days

The company proved the model on one use case and rolled it out org-wide in days. The data their AI tools work on is current and pulled directly from the systems where business actually happens, without the weeks of custom programming and without compromise on the governance their operating environment requires.

Want the same for your team?

Schedule a quick session with Adina, our CEO, to discuss how superglue can help you achieve the same.