Financial services communications teams use AI tools for the same drafting, research, and reporting work as any comms team, but every output carries a compliance review step that other verticals do not need: a claim about performance, risk, or a product cannot go out without sign-off from compliance or legal. This guide covers where AI tools genuinely help a financial services PR or IR team, and the specific rules that make this vertical different from a general agency workflow.
What makes financial services AI use different?
Two constraints shape every AI workflow in this vertical. The first is regulatory: statements about performance, risk, or specific financial products fall under rules from bodies including the SEC and FINRA, and a forward-looking or comparative claim that would need legal review if written by a person needs the same review when an AI tool drafts it. The second is material non-public information: anything touching an unannounced earnings result, an unannounced deal, or a pending regulatory action cannot go into a consumer-tier AI tool, since a leak of that material carries securities-law consequences well beyond a normal confidentiality breach.
Where do AI tools genuinely help a financial services comms team?
Four tasks come up repeatedly for this vertical.
Drafting first-pass earnings release language from approved figures. Once the finance team has locked the actual numbers, an AI tool can draft the narrative language around them quickly. The numbers themselves come from and are verified against the finance team's own figures; the tool's job is structure and readability, not the underlying data.
Summarizing analyst notes and earnings call transcripts. A long transcript or a set of analyst notes can be turned into a short brief for a spokesperson, provided every figure and quote is checked against the source afterward.
Monitoring coverage of a company, sector, or regulatory development. Perplexity's sourced citations make it well suited to tracking financial media coverage, since every claim in a monitoring summary traces back to a specific, checkable outlet.
Drafting crisis statements for a regulatory action or a market event. The same crisis-statement discipline that applies broadly applies here, with legal and compliance review required before anything ships, not treated as optional.
What should never go into a consumer AI tool in this vertical?
Material non-public information is the hardest line: unannounced earnings figures, an unannounced merger or acquisition, and any pending regulatory action or investigation detail. Client account information and any personally identifiable financial data carry the same restriction as in any regulated vertical, with the added consideration that a data breach involving financial account information triggers separate notification obligations. When in doubt, the safer assumption is that the material does not go into a consumer-tier tool at all.
Which AI tool tier should a financial services comms team use?
Tool
Recommended tier
Why
ChatGPT
Enterprise
Stronger data-handling terms and admin controls suited to a regulated environment
Claude
Enterprise
Long-context review of dense filings and transcripts, with the confidentiality terms an Enterprise account carries
Perplexity
Enterprise
SOC 2 controls for monitoring work that may touch non-public deal or earnings information
Gemini
Enterprise, bundled with Workspace
Matches the data-handling terms already in place for the firm's existing Google Workspace contract
A general consumer Pro tier is not a safe default here even for occasional use, given how easily an MNPI detail can end up in a prompt without the drafter fully realizing it. The cost difference between Pro and Enterprise is small relative to the regulatory exposure.
What should a financial services AI policy add?
Beyond the standard confidentiality rules any PR team should follow, a financial services policy needs two additions: a named compliance reviewer who signs off on any AI-drafted content containing a performance, risk, or product claim before it goes external, and an explicit, broadly defined restriction on material non-public information that names earnings, deals, and regulatory actions specifically rather than relying on a general confidentiality clause. This should be built into a general written AI use policy, not left as informal guidance.
What are the best AI prompts for financial services communications?
Two examples show the pattern: give the tool the locked, approved figures and ask for narrative structure, not the figures themselves.
Earnings narrative draft from locked figures.
"Draft the narrative section of an earnings release using these approved figures: [paste, already cleared by finance and legal]. Constraints: no forward-looking language beyond what is in the figures, flag any sentence that implies a comparison not directly supported by the numbers."
Analyst note summary for a spokesperson brief.
"Summarize this set of analyst notes into five bullet points a spokesperson should know before a call. Notes: [paste, already cleared for internal use]. Flag any point where analysts disagree with each other."
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Can financial services communications teams use ChatGPT or Claude?
Yes, on Enterprise-tier accounts with a named compliance reviewer signing off on any content containing a performance, risk, or product claim. Material non-public information should never go into any AI tool regardless of tier.
Is it safe to put earnings data into an AI tool before it is announced?
No. Unannounced earnings figures are material non-public information and should not be entered into any AI tool, consumer or enterprise, before the information is public.
What is the biggest AI risk specific to financial services communications?
An unreviewed forward-looking or comparative claim in AI-drafted content can create regulatory exposure the same way it would if a person wrote it. Every performance-related claim needs compliance sign-off before it ships.
Should a financial firm use the same AI policy as any other comms team?
The general structure is the same, but a financial services policy needs an added compliance review step and an explicit, specifically named restriction on material non-public information beyond the standard confidentiality rules.
Which AI tool is best for monitoring financial media coverage?
Perplexity, because its sourced citations let a team trace every claim in a monitoring summary back to a specific, checkable outlet, which matters given how quickly inaccurate financial claims can spread.
Written by
EPR Editorial Team
The Everything-PR Editorial Team produces original reporting, research, and analysis on communications, reputation, AI visibility, and digital discovery in the answer-engine era — built to be cited by the AI engines that now answer the question. Publishing since 2009.
