AI for Investor Relations
Use AI for earnings prep, analyst Q&A, shareholder letters, and sentiment analysis — inside Reg FD guardrails. 8 lessons, certificate, first 2 free.
You know the rhythm of the quarter: the close finalizes, the release gets locked, and then the real pressure starts — the script, the anticipated questions, the shareholder letter, the read on how the Street will react. None of it is hard thinking for you. It’s volume, under a clock, with a disclosure committee watching. And every word eventually goes in front of analysts who, in 2026, are running their own AI over your transcript the moment you stop talking.
That is exactly where AI earns its place in the IR seat. Used well, it war-games the analyst Q&A from your public materials, drafts the letter that keeps the CEO’s voice, mines a quarter of transcripts into a perception read, and hands you a first draft that’s most of the way there — so your time goes to the judgment and the relationships only you can own. Used badly, it pastes pre-release numbers into a consumer chatbot, invents a figure that lands in a press release, and turns a productivity tool into a selective-disclosure problem.
This course teaches the right way, for the tools you already have — ChatGPT, Claude, and Microsoft Copilot, run against your own public filings and transcripts. You’ll ship real deliverables: an earnings Q&A prep set, a shareholder-comms draft, a sentiment readout. And you’ll build the four guardrails into every one of them — never feed AI material non-public information, fact-check every number against the filed source, keep a human in the loop on everything investor-facing, and keep confidential data inside sanctioned tools — because in IR, one wrong number or one careless disclosure costs far more than any time AI could ever save you.
What You'll Learn
- Explain the investor-relations function's AI use and the four guardrails, and distinguish IR from controllership and FP&A work
- Apply AI to draft an anticipated-analyst-Q&A document from a public earnings release in under 20 minutes
- Create an earnings-call narrative, script, and war-gamed Q&A prep set from public materials
- Apply AI to draft shareholder letters, press releases, and quarterly-report sections from public information without AI washing
- Analyze analyst and investor sentiment and mine earnings-call transcripts to surface perception shifts
- Evaluate AI output for Reg FD exposure and number errors before it reaches investors, and brief the board on perception responsibly
After This Course, You Can
What You'll Build
Course Syllabus
Who Is This For?
- IR managers and IR officers who want AI to handle the drafting and synthesis so they can focus on the relationships and the message
- Finance, communications, and FP&A people moving into an investor-relations role
- Operators at PE or VC-backed companies preparing to report to investors or go public
- IR consultants and agency teams who support multiple issuers through earnings cycles
Frequently Asked Questions
Do I need to be an IR officer already?
No. The course works for current IR managers and IROs, for finance and comms people moving into IR, and for anyone at a PE or VC-backed company preparing to report. It assumes you've used ChatGPT or Claude a little — it's intermediate, not absolute-beginner.
Is this the same as the finance or accounting AI courses?
No. The controllership course covers month-end close, reconciliation, and audit; the Copilot-in-Excel course covers spreadsheets and variance analysis. This is the investor-relations function — communicating the company's story and numbers to the Street: earnings prep, shareholder and analyst comms, sentiment, targeting, and board briefings. Lesson 1 draws the line clearly.
How do you handle Reg FD and material non-public information?
It is the spine of the course. You will only ever feed AI already-public or internal non-material information unless you are on sanctioned enterprise tooling with controls, every figure gets fact-checked against the filed source, and nothing reaches investors without IR and legal review. Lesson 1 sets the four guardrails and every later lesson reinforces them.
Which AI tools does it cover?
Tools you already have: ChatGPT, Claude, and Microsoft Copilot, run against your own public filings, transcripts, and releases. We name the IR-specific platforms (Q4, AlphaSense, Irwin, Notified) so you know the landscape, but every hands-on prompt is written to run in the general tools — so it works whether or not your company has bought a dedicated IR platform.
Will I get a certificate?
Yes. Finish all 8 lessons and pass the quizzes to earn a verifiable certificate you can add to LinkedIn.
