Towards an AI-Powered CMMS
Artificial intelligence will transform industrial maintenance. Here is how AQ Manager is preparing for this evolution, and what it will concretely change for your teams.
The power of connected maintenance for all your workflows
Here is the CMMS we are building: connected, secure, and centered on those who perform maintenance every day.
Connected
It will integrate easily with your sensors, connected objects (IoT), and existing applications, creating a unified real-time data ecosystem.
Secure
All your data will be stored and processed securely, with access control and full traceability.
Human-Centric
Our CMMS 5.0 will support your technicians by highlighting priorities and critical information, while leaving them in full control of managing their interventions.
The technology remains in the background. Your expertise, however, is at the forefront.
What AI will change for your teams
Data-simplified interventions
You will transform every work order into an optimized action plan in minutes.
- Automatic task prioritization based on urgency and impact
- Fluid organization based on team availability and skills
- Rapid mission launch with more specific suggestions
Real-time cost and resource management
You will maintain control over your expenses and stocks thanks to advanced analytics.
- Proactive identification of unnecessary costs
- Anticipation of parts and consumables requirements
- Precise tracking of equipment status for informed decision-making
Intelligent and agile technician assignment
You will assign missions in an optimized manner.
- Reduction of scheduling conflicts through data-driven recommendations
- Minimized travel for greater efficiency
- Balanced workload, adapted to skills and priorities
Predictive dashboards for fast decision-making
All your data will be analyzed to act with confidence.
- Real-time tracking of teams, equipment, and performance
- Even faster decisions thanks to a synthetic view of the data
- Anticipated actions through predictive recommendations
Securing operations
Predictive maintenance will rely on quality data. Its reliability will also depend on how it is secured.
- Protection of flows between connected equipment and the central system
- Limitation of risks regarding manipulation or errors on critical data
- Complete logging for internal or external audits
- Securing field access (web and mobile)