Last updated · August 7, 2026

AI-Processing Disclosure

This disclosure explains the use and limits of artificial intelligence in the PAV entrepreneurship platform. External AI processing is used only when the relevant feature is enabled and provider, privacy, and security controls are in place.

1. Where AI may assist

• Answering general customer questions through the public PAV Assistant using approved public website information.
• Interactive interview turns, clarification prompts, and stage detection.
• Evidence-grounded summaries, missing-information lists, consistency review, verification suggestions, venture-fit organization, and applicant-specific interview questions.
• Drafting applicant-safe Readiness and Fit Profiles after required human review and approval.
• Quality calibration that compares human and AI observations without exposing internal calibration material to applicants.

2. Information AI may receive

For PAV Assistant, OpenAI may receive the visitor's current question, up to the most recent eight chat messages needed for conversational context, and the approved public PAV information selected to answer the question. PAV does not save these chat messages as transcripts in its database, and provider requests use store: false.

Approved evidence inputs are limited to relevant interest-form fields, versioned application answers, approved workflow metadata, interview responses, applicant-confirmed summaries, and authorized human-review records. Evidence citations must identify stable source fields, question IDs, answer versions, or authorized records. Unsupported conclusions must be identified as insufficient evidence.

Uploaded files and extracted attachment text are excluded from external AI processing unless a later, separately approved contract and feature gate expressly authorizes them. Hidden chain-of-thought and private model reasoning are not requested or stored.

3. Human-controlled decisions

PAV Assistant provides general information only. It cannot create a custom quote, accept an application, promise availability, access a private record, or make a decision for PAV. Questions requiring customer-specific review are directed to a PAV representative.

AI recommendations are advisory. AI cannot automatically accept, decline, reroute, release a profile, establish integrity concerns, or create a paid engagement. Kyle or another authorized human reviewer controls advancement, requests for information, holds, declines, paid-engagement decisions, assessment release, opportunity recommendations, and other consequential outcomes.

AI failure, timeout, or unavailable evidence cannot prevent authorized human review.

4. Internal AI-assistance likelihood estimate

PAV may create an internal estimate that a response appears to have received AI assistance. The estimate remains administrator-only and is excluded from applicant profiles, emails, exports, and applicant routes. It cannot automatically affect readiness, routing, acceptance, decline, integrity, or PAV-fit outcomes.

An estimate may be used only to generate evidence-linked, person-to-person clarification questions. Vague or polished writing is not treated as dishonesty, and no adverse outcome may rest on the estimate alone.

5. Fairness and prohibited inference

PAV does not authorize AI to infer merit from protected characteristics, age, disability, accent, writing polish, education prestige, family status, eye contact, or other irrelevant traits. AI must not diagnose mental-health conditions, personality disorders, honesty, or deception. Evidence labels remain qualitative and do not create one total founder score.

6. Providers, safeguards, and records

When enabled, PAV may use a dedicated PAV OpenAI API project with server-side configurable models, bounded reasoning levels, timeouts, retries, and `store: false` requests. PAV evaluates provider terms, data-processing commitments, retention, regional processing, incident handling, and subprocessor disclosures before real information is transmitted.

PAV records the prompt and review version, provider/model identifier, input-source manifest, evidence citations, status, confidence, errors, reveal history, superseding history, and administrator actions. Logs and monitoring must exclude prompts, transcripts, answers, tokens, credentials, message bodies, signed URLs, and uploaded-file content.

7. Applicant notice, review, and contact

Depending on applicable law and the feature involved, PAV may provide notice, consent or opt-out choices, accessible non-AI alternatives, correction or contest rights, and information about AI-assisted processing. Questions or privacy requests may be sent to sales@payneagenticventures.com. This disclosure was last updated August 7, 2026.