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This video presents Apiphani’s Deep Automation™ approach to managed services, positioning it as a response to legacy providers constrained by outdated technologies and manual support models. The solution is built natively on AI and machine learning, with a focus on incident avoidance rather than reactive ticket handling.

Deep Automation™ leverages machine learning to detect anomalous behavior, propose remediation actions to engineers, and execute approved solutions automatically, reducing dependence on traditional L1 and L2 support layers and significantly accelerating resolution times. The model combines automation with senior technical expertise, aiming to improve reliability, reduce human error, and enhance operational performance for mission-critical systems.

FAQ


What is Deep Automation™?
How does Deep Automation™ differ from traditional support models?
How are incidents handled in this model?
What operational impact is claimed?
Does automation replace human expertise?

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