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Case study · Nevvon

From Mash’s knowledge-systems era, 2025 to early 2026. Before Mash became a Personal Relationship Manager, it built custom knowledge systems for a small number of technical B2B revenue teams: bespoke pipelines into each company’s own scattered sources, and answers delivered where those teams already worked. This is a record of that work.

It is not the product on sale today. What carried over is the engineering underneath — reading years of messy, scattered history and making it answer questions reliably. Mash now does that for the people in your own network instead of for a company’s product documentation. See what Mash is now.

Nevvon powers faster, more confident GTM execution with Mash

  • Published: 2 March 2026
  • Industry: Healthcare education technology
  • GTM team size: 20
  • Sources connected: Slack, HubSpot, Jira, Google Drive
“Mash is quickly becoming the intelligence layer of our revenue stack. It’s changing how we think about enablement, customer conversations, and decision-making.”
Allan Levine · Chief Commercial Officer, Nevvon

About Nevvon

Nevvon supports home care agencies across Canada and the United States, in one of the most complex regulatory environments in healthcare. Its revenue team answers nuanced, state-specific questions in real time, where accuracy and speed feed directly into deal velocity, renewals and customer trust.

The problem: a handful of people held the answers

Before Mash, Nevvon’s internal knowledge sat across several disconnected systems. To get an accurate answer, GTM team members leaned on a small group of internal subject-matter experts. When those people were not immediately free, response times slowed and opportunities waited.

What Mash built

Nevvon deployed Mash as a Slack-native knowledge engine, unifying information from Slack, Jira, Google Drive, HubSpot and other systems into a single searchable layer. Reps asked complex questions in Slack and got answers back immediately.

The Mash app answering in Slack, with an overview and four cited sources from Slack, Jira, Notion and Confluence, and a row of buttons asking whether the answer was helpful. Beside it, three threads: colleagues asking where a slide is, what the recommended program duration is, and what the training requirements are — each already answered.
Reps asked in the channel they were already in, and the answer arrived with its sources.

What made it work was the feedback loop. Team members could rate responses, flag inaccuracies and have subject-matter experts verify an answer where it mattered. Verified responses were captured and reused, so quality improved as the team used it.

The foot of a Mash answer in Slack, showing the source list, a ‘view source details’ button, and the question ‘was Mash’s answer helpful?’ with three buttons: very helpful, somewhat helpful and not helpful. A cursor clicks the first, and a note appears reading ‘Jessica found this helpful’.
The rating that fed the next answer: one click in the thread, no separate tool.
“We needed a solution that would capture the nuance that exists from state to state. Mash is able to help ensure that our GTM team can confidently deliver these answers to customers, faster.”
Allan Levine · Chief Commercial Officer, Nevvon

The results

Response times dropped, interruptions to subject-matter experts declined, and customer conversations ran more smoothly. Onboarding accelerated for new reps, who could ramp without leaning heavily on senior colleagues.

“My CSM team is responsible for keeping our customers happy and that often involves answering super challenging questions. Previously, my team often needed to say ‘Let me get back to you’, which can introduce risk into our relationship and our renewal. With Mash, our team can say that 50% less often and get the answers that they need while on a call.”
Chris Munro · Manager of Customer Success, Nevvon
“We used to ping our internal SMEs constantly for the same answers. With Mash, those answers are available on demand, so our SMEs can focus on the real edge cases.”
Cory Gaber · Director of Sales, Nevvon

What came next

Mash had built a deep understanding of Nevvon’s product and needs, and the areas identified for further work were expanding to Nevvon’s other customer-facing teams such as product marketing, connecting more of the business systems, and tightening the feedback loops so that meaningful facts were reliably extracted and reused in later answers.

About Mash, as it described itself then

The paragraph below is how Mash described its own product during this engagement. It is reproduced for the record and does not describe what Mash is today.

“Mash is the Slack-native knowledge agent platform that helps complex and multi-product revenue teams get the information they need, when and where they need it — take the next actions, from creating a feature request to escalating an issue to the internal expert, without even asking. Designed for technical and complex products, Mash’s platform automates answers, getting contextually relevant information, and managing complex organization workflows. They are the foundation for bringing client, technical, product and tribal knowledge to the entire organization.”

Next: Spot AI — The questions arrived as screenshots. The answers lived in video. Or see what Mash is today.