Your Reporting Agent. Real-time insights from your data, delivered before you think to ask.
Most businesses have more data than they know what to do with. The problem is not a lack of information -- it is a lack of time to compile, analyze, and present it in a way that supports decisions. Monthly reports get delayed because someone has to pull data from four systems, reconcile it, and build the slides. Client updates go out late because the recruiter was too busy sourcing to compile a pipeline summary. Product decisions are made on gut feel because the feedback analysis is always "in progress."
The Reporting Agent generates reports automatically by pulling data from your operational systems, applying the analysis frameworks your team has defined, and delivering formatted outputs on schedule or on demand. It does not just aggregate data -- it applies the logic that your best analysts use. Variance analysis, trend detection, cohort comparison, pipeline projection, and exception highlighting are all built into the reporting templates, not bolted on as afterthoughts.
Reports are delivered in the format your stakeholders prefer: email digests, dashboard updates, Slack notifications, or PDF exports. Each report includes the underlying data sources, the analysis methodology, and clear flags for any data quality issues that might affect the conclusions. The Reporting Agent does not hide behind charts -- it explains what the data says and what it means, while leaving the "what to do about it" to the humans who have the context to decide.
Core capabilities
Pulls and reconciles data from multiple systems to produce unified reports without manual data wrangling
Applies custom analysis frameworks including variance analysis, trend detection, and cohort comparisons
Delivers reports on schedule (daily, weekly, monthly) or on demand via email, Slack, dashboards, or PDF
Highlights exceptions, anomalies, and threshold breaches proactively rather than waiting to be asked
Tracks report accuracy and flags data quality issues that may affect conclusions
What this agent doesn't do
These stay with your human team — by design.
Does not make business recommendations based on report findings -- presents analysis for human decision-making
Flags data quality issues transparently rather than producing reports with silently unreliable underlying data
Will not distribute reports containing sensitive information outside approved recipient lists
Does not interpret causation from correlation -- presents patterns and leaves causal analysis to domain experts
How this role differs by industry
| Industry | What it does | |
|---|---|---|
| Accounting | Iris generates client-ready financial reports (P&L, Balance Sheet, Cash Flow) with variance commentary, tracks every filing deadline across entity types (1040, 1120S, 1065, 990), manages dependency chains backward from filing dates, and escalates at-risk deadlines. Iris turns month-end reporting from a four-hour process into a 15-minute review. | View |
| SaaS | Know maintains and updates the company's internal and external knowledge base. It identifies documentation gaps from support ticket patterns, drafts new articles based on resolved ticket data, and tracks article effectiveness by monitoring whether customers who view an article still submit a ticket on the same topic. | View |
| Recruitment | Charlie generates pipeline reports for hiring manager clients showing candidate counts by stage, time-in-stage averages, conversion rates, source channel effectiveness, and predicted fill dates. He proactively flags roles that are trending slower than benchmark and includes data-backed recommendations for salary adjustments or scope changes to improve fill rates. | View |
Common integrations
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