Simplifying CMMS Evaluations with Autonomous AI

Choosing the right CMMS (Computerized Maintenance Management System) is critical—but the research process is often long, manual, and frustrating. Teams spend hours browsing vendor websites, gathering scattered data, and building feature comparison sheets—all while trying to meet internal requirements and compliance standards.

To fix this, DevRabbit created the MDS AI Agent—an end-to-end intelligent platform that automates CMMS research, delivers smarter insights, and drastically reduces the time spent on vendor evaluations.

The Problem: Time-Consuming, Manual Vendor Research

Our Solution: Smarter, Context-Aware AI Agents

• Speed : Eliminates tedious research by scanning websites and documents, and suggesting vendors based on your criteria.
• Contextual Accuracy : Evaluates vendors using your organization’s financial, regulatory, and technical context.
• Consistency : Ensures every vendor is evaluated through a uniform, unbiased framework.
• Learning Loop : Learns from previous decisions, demo feedback, and vendor outcomes — improving with every cycle.

Real-World Use Cases:

• Enterprise IT Procurement : Compare AWS, Azure, and GCP based on your required compliance (HIPAA, SOC 2, etc.).
• Healthcare Equipment Evaluation : Automatically validate vendor offerings against FDA compliance, clinical benchmarks, and safety data.
• Retail Tech Stack Selection :  Prioritize solutions that integrate with POS, CRM, and inventory systems — customized for your region or scale.

The Results: Speed, Precision, and Personalized Insights

The MDS AI Agent had an immediate impact:

• 70% reduction in manual research time
• 85% faster CMMS vendor evaluations
• 60% improvement in demo preparation
• 90% decrease in repetitive data collection

The Future of CMMS Selection Starts Here

DevRabbit’s MDS AI Agent is more than just a research tool—it’s a complete decision-support system. By bringing automation, personalization, and intelligence to every step of the process, it helps teams choose the right CMMS with confidence, not chaos.

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