Overview Timeline Risk tiers Self-assessment Checklists Human layer Demos Action plan Training Resources
Live demo

Try it live. Email, and AI agents.

Type or paste a short draft and the live VerbaPulse engine flags the risky language, the same engine the product runs. Split by the two ways AI touches your team: the email they write, and the AI agents they paste into. Your text is analyzed in memory and never written to disk.

Pre-send checking: the language in client and colleague email that can become a regulatory event.

Runs the live engine. Nothing you type is written to disk or used to train models.

More real examples

Real output across finance, legal, and HR, produced by the live product.

This fund is basically risk-free and you can't lose money.
financial · highRisk-minimizing language, and unqualified investment advice.
VerbaPulse suggestsReplace "risk-free" with "low-risk", and "you can't lose money" with "designed to minimize losses".
We were clearly at fault here, so let's settle before this gets worse.
legal · highLegal fault admission.
VerbaPulse suggests"There was an oversight" or "We encountered an issue".
We're looking for a young, energetic person to join our dynamic team.
bias · mediumAge-coded language.
VerbaPulse suggests"motivated" or "enthusiastic".

Shadow AI: what your team pastes into ChatGPT, Gemini, Claude, and Copilot. VerbaPulse catches identifiers and sensitive values before they leave, and can anonymize them so the work still gets done.

Identifier-first: names, clients, emails, and IDs are masked, while de-linked values are kept so the answer stays useful.

A real example

Summarize this for me: our client Acme Corp signed a 4.2 million euro deal, contact [email protected].
confidentiality · criticalA client identifier and a personal email, exposed to an external AI tool.
VerbaPulse suggestsAnonymize "Acme Corp" to "Client A" and "[email protected]" to "[EMAIL]". The deal value stays, since it is inert once the client is masked.

VerbaPulse works phrase by phrase, keeps the writer's voice, and never invents facts. By default the audit trail records risk events only, with no message text and no user identity. It is not an AI Act compliance platform, it is the control that works while the wording can still change.

See these checks on your own team's messages and AI use

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As of October 2026. The live checker runs the real VerbaPulse engine on the text you enter, which is analyzed in memory and never written to disk. This page is for orientation and internal training, and is not legal advice. Confirm specifics with qualified counsel.