Reduce downtime of your automated processes by up to 73% with proactive and intelligent monitoring of your RPA robots.
In an economic environment where operational efficiency determines competitive advantage, RPA robots have become essential assets. However, as revealed by the Deloitte 2024 Automation Study, 62% of companies report frequent interruptions in their automated processes, resulting in significant financial losses and decreased confidence in these technologies.
Digital Experience Monitoring (DEM) now represents the preferred solution to ensure the reliability and performance of RPA robots. This approach goes beyond traditional monitoring by offering complete visibility across the entire automation chain.
According to the Forrester “The State of RPA 2025” report, the main issues encountered by companies are:
Lack of visibility into robot performance (76%)
Difficulties in identifying the source of failures (68%)
Excessive incident resolution time (average MTTR of 4.2 hours)
Absence of relevant business metrics (57%)
For effective supervision of your RPA robots, experts recommend prioritizing:
Operational availability rate (target: >99.8%)
Processing time per transaction (sector benchmark available)
Automation success rate (target: >99.5%)
Mean Time to Resolve incidents (MTTR)
Business impact of interruptions (in monetary value)
Synthetic monitoring allows continuous simulation and monitoring of critical paths for your RPA robots. This proactive approach detects anomalies before they impact business processes.
Csa study : Société Générale implemented synthetic test scenarios for its 320 mortgage processing robots. Result: early problem detection in 92% of cases and a 78% reduction in incidents.
Recommended configuration:
Test frequency: every 3-5 minutes for critical processes
Response time verification for each process step
Output data validation (data quality)
Real-time analysis allows immediate identification of performance anomalies and determination of their cause.
Essential metrics to monitor:
Response times of applications used by robots
Error rate per process step
System resource consumption
Availability of external services
RPA robots interact with multiple applications and systems. Monitoring these components is crucial to ensure the proper functioning of your automations.
Recommended monitoring architecture:
RPA Robot → Applications → Infrastructure → External Services → User Experience
Case study : AXA reduced incidents related to underlying applications by 65% by implementing a comprehensive DEM solution integrating RPA robot and critical application monitoring.
An effective alert system should be configured to identify anomalies before they impact the business and trigger appropriate corrective actions.
Alert prioritization matrix:
| Level | Criterion | Target Resolution Time | Notification Channel |
|---|---|---|---|
| P0 | Impact on critical process | <15 min | SMS + Email + Teams |
| P1 | Degraded performance | <30 min | Email + Teams |
| P2 | Minor anomaly | <2h | Dashboard |
Impact analysis allows quantifying the effect of RPA performance issues on your business objectives and guiding optimization efforts.
Recommended decision-making dashboard:
Performance trends over 30/60/90 days
Dependency mapping and failure points
Financial impact of incidents
Optimization opportunities ranked by potential ROI
Evaluation: Audit of existing RPA environment
Design: Definition of KPIs and monitoring configuration
Implementation: Progressive deployment by order of criticality
Optimization: Continuous analysis and adjustments
According to the EY “Automation Excellence 2024” study, companies that implemented a DEM solution for their RPA robots observed:
73% reduction in service interruptions
62% decrease in MTTR
28% increase in RPA team productivity
Average ROI of 315% over 18 months
Gartner: “Market Guide for Digital Experience Monitoring 2025”
Forrester Wave™: “RPA Monitoring Solutions, Q1 2025”
McKinsey: “The Future of Intelligent Automation 2024”
IDC: “Digital Experience Management for Enterprise Automation 2024”
Ekara (IP-Label): Leading DEM solution with advanced RPA capabilities
Dynatrace: Full-stack monitoring with AI for causal analysis
Datadog: Comprehensive monitoring with native integration of RPA platforms
AppDynamics: End-to-end visibility of RPA applications and processes
Integrating Digital Experience Monitoring into your RPA strategy is no longer an option but a necessity to ensure the reliability, performance, and ROI of your automation investments.
To get started, we recommend:
Assessing the maturity of your current RPA monitoring
Identifying your critical automated processes
Defining your priority KPIs
Selecting the DEM solution adapted to your environment