How SpotOn uses Rovo to take ideas from concept to client in record time

Rovo works the way our teams already work. Instead of asking our team to adopt another standalone Al tool, we brought Al into Jira Service Management, Slack, and Confluence. That's what turns Al from a test into part of how the business runs.

Ryan Boyd

Vice President of IT, SpotOn

Key Results
40 hrs/mo
Freed up for more complex work with a single Rovo Agent
55%
Questions deflected by the Sales Support Agent, saving time and accelerating sales
75%
Complete product requirement documents generated in seconds with Rovo – down from days
SpotOn Logo - black

About SpotOn

SpotOn helps restaurants run smarter, more profitable businesses with cloud-based POS, operations tools, integrations -- delivered with hospitality.

Industry
Software
Number of users
1,500
Location
United States

SpotOn, a fast‑growing tech firm that helps restaurants and small businesses grow stronger, more profitable companies, is turning internal knowledge into a strategic asset with Rovo.

By centralizing on the Atlassian platform and becoming an early adopter of Rovo, SpotOn has built a unified system of work that enables teams to use AI to automate tedious tasks, connect fragmented information, and surface insights that help them strategically scale the business.

From IT to sales and support, teams across the company are collaborating with Rovo to free up time for higher-value work, better support clients, and deliver the solutions they need – faster.

Tool sprawl and manual work lead to wasted development cycles

As a high‑growth fintech serving tens of thousands of restaurants and small businesses, SpotOn was facing increasing internal complexity while trying to deliver quickly. The company’s “operator‑first” mission demanded rapid innovation to meet clients' ever-evolving needs, but several challenges stood in the way:

  • Tool sprawl made it hard for employees to find and trust information.

  • Product requirement documents (PRDs) took days for IT to draft, slowing down development and delivery.

  • Critical context was scattered across systems, making alignment on strategy and execution difficult.

  • Manual support and sales processes consumed valuable time that could have been spent serving clients.

SpotOn needed a way to centralize knowledge, reduce manual work, and give teams faster, more reliable access to the information they needed to grow the business and client relationships.

Unifying knowledge with Atlassian and Rovo

SpotOn consolidated its tooling on the Atlassian platform and adopted Rovo as the intelligent AI layer across apps.

More than 700 employees across IT, Marketing, Finance, Operations, and more now use Rovo as the company’s “connective tissue,” as VP of IT Ryan Boyd calls it. Instead of digging through multiple tools, channels, documents, and tickets, employees can ask Rovo questions in natural language, get context‑rich answers, and trigger agents that automate repeatable tasks.

With Rovo, SpotOn has an AI teammate and built-in orchestrator that turns fragmented information into coordinated action, saving valuable time for more impactful work and unlocking insights for even better decisions.

Rovo is a force multiplier for our teams. It helps us cut out the bloat, turn messy data into actionable insights, and scale so we can better serve our clients.

Ryan Boyd

Vice President of IT

Reducing cycle time with AI and humans in the loop

To speed up innovation, SpotOn’s IT teams started by embedding AI in two critical workflows: drafting product requirement documents (PRDs) and prioritizing new ideas.

  • With the PRD Generator Agent, SpotOn's IT team can draft product requirement documents that are 75% complete with the click of a button, solving what Ryan calls the “blank-sheet-of-paper problem” and reducing the time required from days to mere hours.

  • SpotOn’s Idea Scoring Agent analyzes ideas submitted through Jira Service Management, scores them based on objective value, and prioritizes the ideas that are best for the business.

Our Idea Scoring Agent rates incoming ideas on success criteria and the cost of inaction. I feel like using Rovo added an analyst to my team.

Ryan Boyd

Vice President of IT

Scaling support and sales with AI

Beyond engineering, SpotOn also applied Rovo to high‑volume, high‑impact workflows in support and sales.

Meanwhile, more than 700 salespeople use the Sales Support Agent within Slack to get instant answers to product questions. Even as the number of messages from employees grew by 63%, the Sales Support Agent answered 95% of questions and deflected 55% with no follow-up needed. Having an AI teammate answering basic questions is not only saving 40 hours a month, but is also helping the Sales Team move deals forward faster.

By scaling product knowledge and automating basic support with Rovo, SpotOn's employees now gets the information they need in seconds to more efficiently serve their clients.

"We built a highly tailored sales support Rovo agent in Slack, and the results were clear. Rovo answered 95% of questions in the channel, and our clean deflection rate increased from 40% to 55%. That gave us measurable impact, in addition to anecdotal value." — Ryan Boyd, Vice President of IT at SpotOn

With Rovo, we get the right context, at the right place, at the right time. It shows up in the flow of work.

Ryan Boyd

Vice President of IT

SpotOn, a fast‑growing tech firm that helps restaurants and small businesses grow stronger, more profitable companies, is turning internal knowledge into a strategic asset with Rovo.

By centralizing on the Atlassian platform and becoming an early adopter of Rovo, SpotOn has built a unified system of work that enables teams to use AI to automate tedious tasks, connect fragmented information, and surface insights that help them strategically scale the business.

From IT to sales and support, teams across the company are collaborating with Rovo to free up time for higher-value work, better support clients, and deliver the solutions they need – faster.

Tool sprawl and manual work lead to wasted development cycles

As a high‑growth fintech serving tens of thousands of restaurants and small businesses, SpotOn was facing increasing internal complexity while trying to deliver quickly. The company’s “operator‑first” mission demanded rapid innovation to meet clients' ever-evolving needs, but several challenges stood in the way:

  • Tool sprawl made it hard for employees to find and trust information.

  • Product requirement documents (PRDs) took days for IT to draft, slowing down development and delivery.

  • Critical context was scattered across systems, making alignment on strategy and execution difficult.

  • Manual support and sales processes consumed valuable time that could have been spent serving clients.

SpotOn needed a way to centralize knowledge, reduce manual work, and give teams faster, more reliable access to the information they needed to grow the business and client relationships.

Unifying knowledge with Atlassian and Rovo

SpotOn consolidated its tooling on the Atlassian platform and adopted Rovo as the intelligent AI layer across apps.

More than 700 employees across IT, Marketing, Finance, Operations, and more now use Rovo as the company’s “connective tissue,” as VP of IT Ryan Boyd calls it. Instead of digging through multiple tools, channels, documents, and tickets, employees can ask Rovo questions in natural language, get context‑rich answers, and trigger agents that automate repeatable tasks.

With Rovo, SpotOn has an AI teammate and built-in orchestrator that turns fragmented information into coordinated action, saving valuable time for more impactful work and unlocking insights for even better decisions.

Rovo is a force multiplier for our teams. It helps us cut out the bloat, turn messy data into actionable insights, and scale so we can better serve our clients.

Ryan Boyd

Vice President of IT

Reducing cycle time with AI and humans in the loop

To speed up innovation, SpotOn’s IT teams started by embedding AI in two critical workflows: drafting product requirement documents (PRDs) and prioritizing new ideas.

  • With the PRD Generator Agent, SpotOn's IT team can draft product requirement documents that are 75% complete with the click of a button, solving what Ryan calls the “blank-sheet-of-paper problem” and reducing the time required from days to mere hours.

  • SpotOn’s Idea Scoring Agent analyzes ideas submitted through Jira Service Management, scores them based on objective value, and prioritizes the ideas that are best for the business.

Our Idea Scoring Agent rates incoming ideas on success criteria and the cost of inaction. I feel like using Rovo added an analyst to my team.

Ryan Boyd

Vice President of IT

Scaling support and sales with AI

Beyond engineering, SpotOn also applied Rovo to high‑volume, high‑impact workflows in support and sales.

Meanwhile, more than 700 salespeople use the Sales Support Agent within Slack to get instant answers to product questions. Even as the number of messages from employees grew by 63%, the Sales Support Agent answered 95% of questions and deflected 55% with no follow-up needed. Having an AI teammate answering basic questions is not only saving 40 hours a month, but is also helping the Sales Team move deals forward faster.

By scaling product knowledge and automating basic support with Rovo, SpotOn's employees now gets the information they need in seconds to more efficiently serve their clients.

"We built a highly tailored sales support Rovo agent in Slack, and the results were clear. Rovo answered 95% of questions in the channel, and our clean deflection rate increased from 40% to 55%. That gave us measurable impact, in addition to anecdotal value." — Ryan Boyd, Vice President of IT at SpotOn

With Rovo, we get the right context, at the right place, at the right time. It shows up in the flow of work.

Ryan Boyd

Vice President of IT

SpotOn Logo - black

About SpotOn

SpotOn helps restaurants run smarter, more profitable businesses with cloud-based POS, operations tools, integrations -- delivered with hospitality.

Industry
Software
Number of users
1,500
Location
United States

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