Most maintenance teams already know when something is wrong. The harder problem is everything that happens next: deciding how urgent it is, creating a work order, getting the right technician to the right machine with the right information, and then confirming what got fixed actually resolved the issue. That gap between knowing and doing is where unplanned downtime lives.
Augury helps manufacturers detect developing issues early through Machine Health monitoring and prescriptive insights. MaintainX is an asset and work intelligence platform that helps frontline teams turn insights into action. By integrating the two, Augury alerts become actionable work within MaintainX so frontline teams can act with confidence: complete with context, asset data, and AI-powered assistance.
We sat down with Jordan Sprunger, Solution Architect at Augury, and Alex Marotta, Connected Data & Systems Lead at MaintainX, to talk about what the new integration actually means for maintenance and reliability teams.
1. The real problem isn’t detection. It’s everything after.
Experienced maintenance technicians often have a solid instinct for what needs attention. The challenge is that they’re balancing that against a full schedule of preventive maintenance, reactive work, and everything else competing for their time. Without clear information about the severity of a fault and the next steps, even the best teams risk missing the right prioritization call.
“There’s usually more tasks to be done than there are hours in the day,” says Alex. “Maintenance teams are often short-staffed. So knowing what to address when, and then empowering team members who may be newer to the company to know when something is wrong and how to handle it—that’s the goal. Making sure the right people are getting the right information at the right time so they can tackle the highest priority issues and do less firefighting.”
Jordan adds, “Without real insight into exactly what the issue is, how to fix it, and how severe it is, you run the risk of missing the right prioritization. You risk potential failures if you don’t know where to focus your energy and how to tackle the right actions in the right order.”
That’s why this integration matters: it helps teams cut through the noise by bringing the right information into MaintainX at the right time.
2. The gap isn’t a people problem. It’s a systems problem.
When monitoring and maintenance execution live in separate systems, even well-run teams face the same structural challenge. An alert comes in, someone makes a judgment call about priority, work gets coordinated, and then once the repair is done, documentation has to travel back the other way. With everything a maintenance team is managing on any given day, that last step is easy to lose.
It’s not a question of effort or attention. It’s that disconnected systems require manual handoffs that don’t have a natural home in anyone’s workflow. Under the pressure of a full day, something gives.
Alex describes the downstream effect. “There are cases when an alert is triggered, and by the time the team sees and acts on it, the issue has already happened.” The goal of the integration is to make that automatic, giving teams a more consistent and repeatable way to turn Machine Health alerts into action.
3. The “after” is simpler than you might expect.
When Augury’s continuous Machine Health monitoring detects an alarm or danger condition, a work order is automatically created in MaintainX, complete with fault details, affected components, and recommended repair actions. All work is tracked and completed in MaintainX, giving teams a single system to coordinate maintenance activity across predictive and preventive workflows.
When the work is completed, status updates, time, cost, and technician comments sync back to Augury. This triggers a post-repair review to confirm the issue was resolved. The whole loop closes automatically.
“You come into work in the morning, you’ve got jobs you need to complete,” Alex says. “One could be straight out of Augury, one’s your normal monthly PM. And now you have it all in one system.”
Jordan adds that the integration also makes for more meaningful reporting. “You can do your reporting in MaintainX on how many reactive alerts you’re handling versus alerts coming from Augury versus preventive work, so you can understand how the predictive program is actually impacting the rest of your maintenance program.”
4. Technician trust isn’t assumed. It’s designed for.
Maintenance teams have seen many tools that promised to simplify their work but added complexity instead. From the Augury side, the foundation of trust is the quality of the alerts themselves. Augury’s Machine Health models are trained on more than one billion hours of machine data, which is what enables early, high-confidence detection before failures occur. The focus is on alerts that are prescriptive, not just informational: fault details, affected components, and recommended next steps, not just a signal that something is wrong.
From the MaintainX side, the design principle is meeting technicians where they already work. “Technicians are not typically behind desks clicking away at a keyboard,” Alex says. “Getting the insights from Augury into the platform they’re already using means technicians can act on an alert without learning a new system.” Technicians are further supported by MaintainX AI, which can turn Augury recommendations into shareable digital SOPs, making the best response repeatable across technicians, shifts, and sites.
Jordan also points to the reduction in administrative work as a meaningful trust signal. “We’re taking two solutions and combining them in a way that reduces the amount of screen time users actually need to have. Augury’s information goes right into MaintainX. The Augury platform is always available for more in-depth information when a maintenance tech needs it, but it allows them to reduce admin tasks and focus on wrench time.”
5. The most valuable insight came from watching customers work.
One of the most useful things Augury and MaintainX learned during this integration wasn’t about technology. It was about people.
Most predictive maintenance programs have a champion at a site: a person who is plugged into the monitoring platform, comfortable reading the data, and able to interpret what an alert means. But that person often ends up bridging the gap between the monitoring system and the technicians who need to act on information.
“They get stuck doing the translation between the platform and the analyst data, turning it into a work order that goes to a technician who might not be plugged into Augury at all,” says Jordan. “This integration now removes them as the middleman and gets the information straight to the people who need it, in a way that’s understandable for them to act on.”
Alex highlights a related insight: the value of connecting two very different kinds of documentation. “Inside Augury, analysts are giving a very scientific description of their analysis. On the MaintainX side, a technician’s comment might be pretty short and practical. When those two perspectives come together, teams get a clearer understanding of what was detected, how it was addressed, and whether the fix actually worked. It seems obvious in hindsight, but that visibility doesn’t happen without the integration.”
The Bottom Line
For reliability and maintenance teams working toward a condition-based maintenance program, that gap between knowing and doing doesn’t have to slow progress. The Augury and MaintainX integration closes it automatically, so teams can spend less time managing information between systems and more time on the work that keeps production running.
