Maintenance teams everywhere are under pressure to move faster, stay accurate, and do more with the same (or fewer) resources. While there’s no shortage of AI buzz in the industry, much of it focuses on distant, futuristic promises. It sounds exciting, but it doesn’t help the teams dealing with today’s typical realities: incomplete asset data, balancing unpredictable workloads, or navigating systems that don’t speak to each other.
Limble’s Winter Release is built to address the challenges maintenance teams are facing now, with three new AI-powered capabilities designed to make daily maintenance work easier and more efficient. Whether you’re maintaining assets, planning work across multiple sites, or trying to connect Limble to modern AI and analytics tools, this release strengthens the systems and workflows your team relies on every shift.
Asset Snap: Capture and identify assets instantly
For most organizations, building accurate asset records is slow, repetitive, and error-prone. Nameplates are hard to read, spreadsheets aren’t consistent and onboarding can stretch into months.
Asset Snap changes that. Using AI-powered image and text recognition, Asset Snap turns a quick nameplate photo into a complete, structured asset record with manufacturer, model, serial number, and other key details included. Cleaner data from day one means fewer corrections later, and a more trustworthy system everyone can rely on.
With Asset Snap, teams can:
- Onboard legacy assets up to 80% faster
- Eliminate manual typing and early-stage data entry errors
- Standardize naming and structure across locations
- Validate extracted fields before saving
- Generate QR codes instantly for future work
Resource Planning: Coordinate your crew intelligently with AI
Every maintenance leader has lived the chaos of scheduling: juggling PMs, reactive work, technician availability, and shifting priorities. Traditionally, that means spreadsheets, guesswork, and constant manual adjustments.
Resource Planning brings scheduling into one place, and leverages your data to help you make smarter staffing decisions. With a single real-time view of work and capacity, teams can instantly see what’s planned, what’s urgent, and what’s at risk. Limble’s AI reviews workloads and time estimates, suggesting smart task moves that keep schedules balanced and achievable. When planning becomes clearer, everything downstream improves. Response times get faster, wrench time goes up, and last-minute overtime becomes the exception instead of the rule.
Resource Planning helps teams:
- Reduce scheduling time by 10-15 hours per week
- Prevent technician overload and burnout
- Balance day-to-day priorities with long-term PMs
- Keep operations predictable, even when plans change
MCP: A connected context layer powering smarter AI across Limble
AI assistants are becoming more capable, but only if they can access clean, structured data. Until now, connecting maintenance systems to modern AI tools required custom scripts, fragile integrations, or extensive data modeling.
Limble’s new Model Context Protocol (MCP) changes the equation by providing a secure, standardized way for developers to bring Limble data into AI clients like Cursor or Claude Code. No more starting integrations from scratch, developers get consistent access to assets, work orders, schedules, inventory, and more. MCP is read-only by design, ensuring data stays secure while enabling more powerful analysis and automation across maintenance operations.
With MCP, organizations can:
- Cut integration setup time by up to 70%
- Reduce sync errors and manual cleanup
- Enable AI-driven reporting and insights
- Get answers fast to complex operational questions like: “which assets cost the most to maintain?: and “Are technicians overloaded this week?”
Looking ahead
Maintenance teams need AI tools that solve real operational problems. This release lays the groundwork by delivering cleaner asset data, clearer plans, and faster, more connected workflows. And we’re just getting started.
AI isn’t here to replace technicians; it’s here to give them time back for the work that matters. Over the coming year, Limble will continue expanding its smart capabilities, building tools that reduce friction instead of adding complexity, tools that support teams where they spend their time: diagnosing issues, organizing work, and keeping assets performing at their best.
The Winter Release is the next step in that journey, bringing practical, reliable AI directly into the workflows that keep operations running every day.