AI detects anomalies in financial reports by comparing expected financial behavior against actual results across periods, entities, and accounts, allowing finance teams to surface unexpected variances without relying on manual review.
Why Anomaly Detection Is Difficult Without AI
In most finance organizations, anomaly detection happens after reports are produced and distributed. Teams manually scan rows of data, compare current results to prior periods, and rely heavily on experience to determine what looks unusual. As reporting complexity increases due to multi-entity structures, acquisitions, and tighter close timelines, this approach becomes inconsistent and risky.
The challenge is not a lack of data. It is knowing where to focus attention and which changes actually require explanation or action.
How AI Identifies Meaningful Variances
Telli approaches anomaly detection by evaluating financial results in context. Because it analyzes structured financial reports, it understands account hierarchies, entity rollups, reporting periods, and historical behavior. This allows it to distinguish between expected fluctuations and results that fall outside normal patterns.
Rather than flagging every change, Telli surfaces anomalies based on magnitude, trend direction, and relationship to other financial indicators. This reduces noise and helps finance teams focus on what actually matters.
From Detection to Explanation and Action
When an anomaly is identified, Telli does more than highlight a number. It explains what changed, why the change is significant, and what may have contributed to it. Finance users can interact with these insights, ask follow-up questions, and request simplified explanations or alternative views.
This shifts anomaly detection from a reactive, manual task into a guided analysis process that supports faster decision-making and more consistent reporting.
Why This Matters for Finance Teams and Partners
For finance teams, automated anomaly detection reduces time spent searching for issues and increases confidence in the results. For Microsoft partners, it provides a controlled, explainable approach to financial analysis that aligns with Microsoft reporting and governance expectations.