CASE

How Unisense turned any employee into a sales expert with +15 years of experience.

Meet the team:
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The NUMBers

375K+

Sources indexed (emails, documents, datasheets, company info)

15+

Years of company knowledge made instantly searchable
THE STORY
We wanted to go from scattered inboxes to shared intelligence.

Like many B2B organisations, Unisense had spent over 15 years building deep expertise across sales, operations, pricing, and technical. The problem? Almost all of it was buried in individual Outlook inboxes, scattered documents, and datasheets that no one could find easily.

New employees had limited access to historical decisions, and experienced team members spent valuable time digging through old email threads to recall past decisions. Traditional search wasn't enough: it required knowing the right keywords and then manually reading through every result. Unisense needed a smarter way to surface that institutional knowledge and make it available to everyone, right where they already work.

Read more about Unisense.

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THE SOLUTION
We built a source-grounded AI assistant directly into outlook.

To solve this, Unisense partnered with Obsidian to build a Retrieval-Augmented Generation (RAG) assistant designed from the ground up for accuracy, transparency, and scalability.

Using a custom Python workflow, we processed and indexed over 375K sources across emails, documents, datasheets, and company information. To reflect the distinct nature of the two brands, the knowledge base was split into separate indexes for Unisense and Unisense Environment. The assistant was then integrated directly into Outlook, sitting behind the same login wall as Unisense's other internal systems.

In practice: When an employee reads an email, that email is automatically used as context: the system retrieves the most relevant sources from the RAG database and delivers a direct, cited answer - no document list, no manual reading.

Outdated sources can be removed dynamically, and system instructions can be edited on an ongoing basis. This scalable knowledge base also powers an internal open knowledge tool for company-wide questions, and an external website chat capable of answering simple customer inquiries without citing internal sources.

THE RESULT
A scalable company intelligence, embedded in the daily workflow.

The implemented solution successfully transformed unstructured email data and company information into a persistent knowledge layer that grows over time. By prioritizing knowledge delivery over automated email writing, the solution enabled faster onboarding, stronger internal alignment, and more efficient decision-making.

New employees can now get up to speed faster, specialists can validate past decisions instantly, and valuable insights remain accessible and verifiable as teams evolve. The architecture is fully prepared to scale across thousands of additional emails and documents for both brands.

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EXPERIENCE
"At Unisense and Unisense Environment, we've been an AI as a Service customer at Obsidian since January 2026. We started with many ideas, but together with Emil we quickly narrowed our focus to what's closest to revenue. The key word for both our companies is knowledge, and our sales departments consist primarily of PhDs. The knowledge that drives our companies lives in the thousands of emails we exchange with customers each year. So it became clear that a tool capable of searching years of customer dialogue and drafting reply suggestions could deliver faster, better answers to customers — while also making our knowledge more accessible to sales and marketing."

Want to know more? Speak to the expert:

Emil Eriksen
AI & Automation Consultant
THE TEAM
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You can also give us a call at +45 60 73 60 60 or contact an expert directly:

Emil Eriksen

AI & Automation Consultant
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