AI analyzes financial reports automatically by interpreting structured financial reports, applying accounting logic, identifying anomalies and trends, and generating narrative insights without manual review.
How Automated Financial Report Analysis Works
Automated financial report analysis only works when the AI understands accounting rules, reporting structures, and financial context. General-purpose AI tools may summarize numbers, but they lack native accounting intelligence and direct access to structured financial reports.
Telli is designed specifically for finance teams using Microsoft technologies. In Phase I, it analyzes financial reports generated through FYIsoft’s reporting environment, operating inside the same Azure tenant. This allows Telli to interpret report structures, financial hierarchies, periods, and entities before applying finance-specific analysis logic.
The result is a shorter path from data to decision. Instead of exporting reports, manually scanning for variances, and rewriting commentary, finance teams receive structured insights immediately after reports are produced.
Process Overview
- Structured report ingestion
Telli analyzes structured financialreports so it understands accounts, periods, entities, and segments rather than raw numbers. - Finance-trained analysis logic
The AI applies accounting and financial analysis principles, including variance analysis, margin review, comparative analysis, and KPI generation. This logic is built for finance use cases, not generic pattern detection. - Anomaly and risk detection
Telliidentifies unexpected changes, outliers, and risk indicators that would normally require manual review across multiple reports. - Narrative generation
For each insight, Telli explains what changed, why it matters, what may have caused it, and the potential impact. This narrative reduces the timerequired to prepare executive-ready commentary. - User-guided refinement and output creation
After analysis is complete, finance users can interact with Telli through chat to refine results. Users can ask for clarification, request simplified explanations, change the format of responses, or personalize outputs based on their role and preferences. Telli remembers user-specific preferences, such as which metrics matter most or which details should be excluded. Users can also compile selected insights into a structured write-up that can be shared or exported for management and stakeholders.
Why This Matters for Finance Teams
- Eliminates time-consuming post-close manual scanning
- Reduces dependence on Excel for interpretation and commentary
- Produces consistent, executive-ready insights faster
- Keeps analysis grounded in accounting logic and financial context
- Supports collaboration between finance and IT in Microsoft environments
Telli’s value is not speed alone. Its value is delivering explainable, finance-aware insights inside a secure Microsoft environment that finance leaders and IT teams can trust.