Automate Earnings Report Analysis with Aident AI

Earnings automation can reduce repetitive research by collecting filings, extracting the same metrics each quarter, and flagging changes for review. It cannot determine whether a security is suitable for you or remove the risk of inaccurate source data and model output. Treat the workflow below as a research aid, not investment advice.

Start with Primary Sources

Use company investor-relations pages and the SEC’s EDGAR company filings search for U.S. public-company filings. Preserve the filing URL, form type, reporting period, and publication time with every extracted result. Transcripts and third-party datasets can add context, but they should not silently replace the filed document.

Build an Earnings-Analysis Workflow

1. Define a Narrow Universe

List the companies, filing types, and reporting periods you want to monitor. A bounded list is easier to verify than an open-ended instruction to “find good stocks.”

2. Specify the Evidence

Ask for fields that can be traced to the source, such as:

• Revenue and year-over-year change

• Gross and operating margin

• Cash flow from operations

• Debt and cash balances

• Management guidance and stated risk factors

Require a citation or source passage for every number and mark missing values rather than estimating them.

3. Choose Review Rules

An instruction might say:

When a monitored company files a 10-Q or 10-K, extract the reporting period, revenue, operating margin, cash flow from operations, guidance, and material risk changes. Cite the filing URL and section for each item. Flag conflicting values and do not make a buy or sell recommendation.

4. Deliver a Reviewable Alert

Send a structured summary to email or Slack, then require human review before the data enters a model, dashboard, or decision process. If you schedule the workflow, follow the same trigger and observability practices described in Trigger Workflows the Moment Work Happens.

What to Validate

• The filing belongs to the correct issuer and period.

• Values use the same units and accounting basis.

• Restated figures are distinguished from originally reported figures.

• Guidance is attributed to management rather than presented as fact.

• Every alert links back to the primary document.

• The workflow records failures and duplicate filings.

FAQ

Can an AI workflow identify investment opportunities?

It can screen for criteria you define and organize evidence for review. It cannot guarantee an opportunity, forecast returns, or replace professional advice.

Should I use real-time market data in the same workflow?

Only if you have a licensed, reliable source and the timing requirements are explicit. SEC filings are not a substitute for a real-time market-data feed.

How do I limit hallucinations?

Use primary sources, require citations for every extracted fact, reject unsupported values, and keep a person in the loop for consequential decisions.