Hand off the research, keep the judgment
AI can automate most steps of investment research: pulling filings and news, connecting a change to the companies it reaches, re-checking ideas against new evidence and writing up the result with sources. The judgment stays with the investor: which questions matter, which evidence to trust and what to do about it.
What can be automated today
Most research time goes into steps that follow the same pattern every time. Those are the steps to hand off first.
- Gathering: filings, transcripts, news, regulator notices and prices for the names you cover.
- Connecting: which suppliers, customers, lenders and competitors a change reaches, beyond the names in the headline.
- Checking: whether the assumptions behind each idea still hold after new evidence arrives.
- Repeating: the weekly check or recurring report you rebuild by hand today.
- Writing up: a cited memo, deck, chart or spreadsheet that shows where every number came from.
Two kinds of research process
Repeatable research runs the same steps in the same order every time: a weekly supplier check, a monthly exposure report. You check the output once, then trust every run after. Open-ended research starts from what is happening in the market and picks each next step from what it just found, the way an analyst follows a lead. Good automation handles both, and both can run on a schedule.
What stays with the analyst
Automation changes the job; it does not remove it. The analyst decides the mandate, chooses the questions worth asking, judges whether the evidence is good enough and makes the decision. The shift is the one programmers went through: from writing every line by hand to directing the work and reviewing what comes back.
An example
An analyst covers twelve industrial companies and spends every Friday checking each one for supplier warnings, guidance changes and rating moves, then writes a short deck for Monday. Written down once as a process, the same check runs every Friday on its own and the deck arrives with a source for every line.
The analyst now spends Friday on the two items that changed and on a new question: which customers of the weakest supplier sit outside the coverage list.
Illustrative example. The companies are not real, and nothing on this page is investment advice.
How Clargus automates research
You describe the work to the Clargus agent in plain English, the way you would brief a colleague, and it builds the process from more than 1,000 building blocks, each one unit of research from pulling a single filing to tracing a pattern across the market. Repeatable work becomes an automation that runs the same steps every time; open-ended work becomes a discovery run that follows the evidence. Both run on a schedule.
Every run writes back to its strategy’s brain, so the next run starts where the last one ended, and every output is cited so your team can check it.
Used by: Equity analysts, Hedge funds, Asset managers.