Scabera · November 2025–present

Making an enterprise AI capability precise enough to discuss before launch.

Scabera is developing an enterprise AI platform for private access to internal knowledge and citation-backed outputs. The documented context is a pilot, where the commercial work is to make the proposition clear without presenting a future outcome as proof.

Situation

A technical premise needs a usable market conversation.

Enterprise knowledge access can sound abstract until the terms of trust are named. Here, private access, citation-backed outputs and data sovereignty are part of the proposition. They are also the conditions that shape how the platform can be discussed across departments.

I work in the gap between product capability and commercial meaning. In a pilot, that means keeping the discussion specific: which questions deserve attention, what people need to inspect, and where the proposition must remain careful.

My ownership

Positioning, go-to-market priorities and practical AI/RAG workflows.

As part-time CMO, I manage positioning and go-to-market priorities for the platform. I also manage practical AI and Retrieval-Augmented Generation workflows during the pilot, shaping the commercial framing around knowledge access, data sovereignty and business applications across departments.

Decision

Lead with access, trust and control.

I keep the market conversation close to what the platform is designed to support: private access to internal knowledge, an answer that can point back to its source, and clear conditions around company data.

Documented output

Commercial direction for the pilot.

I lead positioning, go-to-market direction and practical AI/RAG workflows. This case does not name a launch asset, ICP, customer programme or validated market result.

Positioning before a mature launch story

CapabilityPrivate access to internal knowledge
Trust conditionCitation-backed outputs people can examine
Control conditionData sovereignty in the enterprise conversation
Commercial focusDepartmental applications and GTM priorities

This is the operating logic I bring to a pilot; it is not evidence of product adoption, accuracy or market fit.

Constraints

Pilot status sets the claim ceiling.

I do not present a product launch, customers, named use case, technical architecture, answer accuracy, adoption or commercial performance here. The focus is the work of making a developing capability useful in a commercial conversation.

Questions

Enterprise AI go-to-market in pilot.

What did you own at Scabera?

I manage positioning, go-to-market priorities and practical AI/RAG workflows as part-time CMO during the pilot.

What was the product positioned around?

The documented framing is private access to internal knowledge, citation-backed outputs, data sovereignty and business applications across departments.

Was the platform launched?

Scabera was in pilot. This case covers my role in that stage.

Does citation-backed output prove answer accuracy?

No. It describes an intended ability to examine where an answer came from. It is not an accuracy claim.