EU AI Act GTM Risk Calculator

GTM Stack Assessment

Select the options that match your current AI GTM deployments.

1. System Modality: Does your AI stack interact directly with prospects or customers?

e.g., Outbound AI SDR emails, AI website chatbots, voice-calling agents.

Yes AI conducts customer communication or generates outbound messaging.

No AI tools are strictly internal-facing (e.g., writing drafts, summarization).

2. Decision Authority: Does your AI system make automated scoring decisions?

e.g., Auto-rejecting leads, dynamically adjusting pricing or contract terms without manual review.

Yes AI systems automatically qualify, score, or block access.

No Reps review and verify all qualifications and opportunity details.

3. Knowledge Grounding: How is your AI's commercial knowledge governed?

How does the model fetch technical specs, pricing, and case studies?

Static Documents / RAG Files Model reads PDF catalogs, Notion wikis, or raw text uploads.

Live API / MCP Knowledge Bus Model fetches verified claim nodes via active databases (e.g., Assay).

4. Development Role: Are you customizing the underlying AI model?

Determines whether you are classified as a Provider or a Deployer under the Act.

Fine-tuning / Training (Provider) We modify model weights or train custom LLMs from scratch.

APIs / Off-the-shelf (Deployer) We use public APIs (Anthropic, OpenAI) with prompt routing or RAG.

Medium

LIMITED RISK (Category II)

Your AI stack falls under Limited Risk. You must disclose that prospects are communicating with an AI bot, and prevent ungrounded claims.

Assay Compliance Solution

Assay's Truth Graph and Governance Engine satisfy Annex IV technical record-keeping and Article 12 output transparency mandates programmatically.