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Solutions / AI feature reviews

Review AI data usage before it becomes product behavior

AI features can introduce new prompts, model vendors, logs, embeddings, training settings and policy questions. Inth helps teams find those changes in code and production, then route them for human review with evidence attached.

Model
01

New SDK, endpoint or vendor appears

Data
02

Prompts, logs, embeddings or retrieval need review

Policy
03

Customer and privacy questions get context

Decision
04

Approval, fix or exception stays attached

What it helps with

Catch the privacy details hidden inside AI launches

Inth does not decide whether an AI feature is lawful or appropriate. It helps teams surface the product evidence needed for review.

  • Model and vendor changes

    Find new AI SDKs, endpoints, subprocessors and outbound calls before they lose code context.

  • Prompt and data flows

    Review what data enters prompts, logs, embeddings, retrieval systems or model workflows.

  • Policy and customer questions

    Keep answers tied to scans, runtime signals, policies, approvals and the product decision.

Find AI privacy questions before launch day

Connect the repositories and domains where AI features ship. Inth will help surface the data flows, vendors and review records behind them.