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How SANTONI adopted THRON’s Agentic SaaS

At Netcomm Forum 2026, THRON shared the stage with SANTONI, an Italian luxury footwear brand, for a 30-minute workshop on the agentic era. AMBRA AI in action on real use cases, live, with a real customer sharing their firsthand experience. Domenico Leone, IT Director at SANTONI, explained in his own words how his company transformed a complex digital ecosystem into a platform that responds, reasons, and acts for everyone. 

Below you can watch the full video or read our summary covering the four scenarios demonstrated live, the full SANTONI case study, and exclusive additional use cases worth exploring.

Your company already has everything, but nobody knows it

For years, companies have invested in platforms, archives, and catalogs — the information assets are there. The problem is that finding, structuring, and distributing them takes time, expertise, and tools that no team can manage on its own. 

The workshop opened with three situations anyone who has worked in a structured organization will instantly recognize:

  • Content scattered across drives, folders, and disparate systems, with no one knowing where the right version actually lives. 
  • Every project often starting from scratch, because great work done by others simply isn’t visible or easy to find. 
  • Product content and information siloed from each other, making it hard to keep channels in sync and steadily increasing the risk of errors. 

AMBRA AI, the native AI agent in THRON Platform, was built to finally activate a company’s information assets: it reads context, reasons through requests, and acts on existing information — delivering results in seconds, to anyone, without needing to learn anything new. 

How THRON’s Agentic SaaS changes the workday

The workshop built its scenarios around real roles: actual working days, demonstrated live with AMBRA AI in front of the Netcomm Forum 2026 audience.

A marketer’s day

Everything marketing needs is already in its tools and creative workflows: accessible, ready, intelligent. Find the right asset in seconds, using natural language. Generate specific content with a single click. Adapt and distribute without rebuilding everything channel by channel. Every project builds on the team’s collective work — not from a blank slate. The entire asset library, finally within reach.

A seller’s day

Data is always ready, complete, up to date, and right where it’s needed. Find the right information without opening Excel. Keep the catalog current with no delays. Put together campaigns and catalogs in minutes. Descriptions, data, photos, videos — on every channel, always. Sell better. Because you know everything, always.

An IT team’s day

This is the scenario SANTONI presented firsthand on stage: from DAM+PIM to One Platform Ahead, unified channel distribution and updates, and a new AI-driven usage model. In just over a year, SANTONI’s digital ecosystem became agentic.

A procurement team’s day

Every decision starts from complete, shared, and always up-to-date information. The information asset base becomes a measurable resource. Tools and licenses consolidate into a single investment. Every euro spent generates value across the entire organization. A faster, more cohesive, more sustainable company.

The SANTONI case: from complexity to a single platform

SANTONI’s digital ecosystem was already omnichannel, composable, and API-driven: multiple channels, interconnected systems, flexible architectures. But that very complexity was generating growing pressure — every new channel added meant more costs and more management overhead. 

The question came from Domenico Leone, IT Director at SANTONI, live on stage: “Does it still make sense to keep asset management separate from product data and its actual use?” 

From DAM+PIM to Agentic SaaS

The operational answer was to unify what had been kept separate. With THRON, product data and digital assets converge into a single source of truth: data, images, descriptions, and variations — all together, searchable and editable in natural language. The enriched asset becomes a living object. Channel distribution and updates become a single unified flow. Data modelling, which previously required heavy IT effort, becomes simply a command. 

Everything integrated via AI MCP into designers’ tools. The team queries the archive in natural language to develop new concepts. 

“We didn’t adopt a better DAM. We changed the way assets generate value.”

Domenico Leone

IT Director @ Santoni

Results: operational performance

Measured results from just over a year of transformation:


On top of these, the transformation also delivered structural gains: differentiated content per catalog, elimination of rework across channels, and zero asset duplication.

THRON Drive completed the picture: bringing the platform directly onto every operational team’s computers increased adoption, reduced the distance between IT, creatives, and marketing, and made accessing assets feel natural. If you’d like to explore this feature further, our Blog has two dedicated articles: one for marketing teams and one for sales and wholesale.

Want to put Agentic SaaS to the test on your specific case?

Every session is built around your company’s real processes, not generic scenarios.

Article exclusive: extra scenarios with AMBRA AI 

AMBRA AI’s scope is far broader than the roles shown on stage. 

  • The ecommerce manager no longer builds data models by hand. AMBRA AI pulls information from multiple sources and structures the catalog autonomously. The person managing ecommerce makes decisions — they don’t execute them. 
  • Anyone searching for a specific asset — for a particular product, in a precise context — finds it in moments. AMBRA AI locates it, contextualizes it, and adapts it to the required format, independently, without opening a ticket or waiting on another team. 
  • The marketer working on the catalog can instantly see how many products are incomplete. AMBRA AI maps the gaps and closes them in the same session. The catalog moves forward without meetings, without waiting. 

The digital manager preparing for Zalando uses AMBRA AI to identify products that aren’t yet ready for the channel. Whatever is missing gets generated and adapted directly within the platform. The channel goes live with no bottlenecks.

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