Analyzes customer-reported issues at scale to autonomously identify primary and secondary root causes in real time. Replaces manual ticket review with AI-driven pattern detection, enabling service and quality teams to address systemic failures before they escalate or repeat across the install base.


Simple Nouns or phrases are not enough to name categories and sub-categories. This is a challenge with the traditional way of triaging category and sub-category.
The process requires algorithms to consider word frequencies, probabilistic importance and contextual importance. This methodology gives us a way to be consistent and standardizes the way to define problems to operate in autonomous mode.
We have also seen that an external "source of truth" can be created by experts in a different system of record. Ascendo is also able to connect to this external system of records and drive predictions in semi-autonomous mode.
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Contact UsPinpoint is Ascendo's auto root cause agent. It analyzes customer-reported issues at scale to autonomously identify primary and secondary root causes in real time, replacing manual ticket review with AI-driven pattern detection.
It detects patterns across ticket data and historical issues, separates primary causes from secondary contributors, and surfaces systemic failures as they emerge, so quality teams can act before an issue repeats across the install base.
Manual ticket review is slow and misses systemic patterns. Pinpoint spots the shared cause behind a surge of tickets, for example a firmware version deployed two weeks earlier, and flags it in real time, preventing escalations and repeat failures.
Manual categorization tags tickets one by one and rarely reveals the cause. Pinpoint clusters at scale and identifies the underlying driver, turning thousands of reports into a ranked, actionable root-cause view automatically.