Answer the question every enterprise buyer asks first.
"Do you train on our data?" Then 149 follow-up questions about model providers, PII in prompts, retention windows, and OWASP LLM risks. The Targhee agent turns the new AI governance questionnaire into a two-day review — every answer cited from your model card, DPAs, and AI risk documentation, with your team approving before anything goes out.
per AI review
accuracy
out of the box
with Trust Center
AI governance is the new security questionnaire.
Enterprise buyers who once sent you a SIG Lite now send 150 additional questions about model training, prompt injection, PII handling, and provider-chain risk. These questions didn't exist two years ago. They're on every vendor review today.
A new interview on how your AI actually works.
Every enterprise AI review now probes the same areas: whether you train on customer data, what your model provider chain looks like, how you handle PII in prompts, your OWASP LLM Top 10 posture, and your classification under the EU AI Act.
About a third of the questions map to a standard framework. The rest are written by the buyer's own AI governance committee to probe their specific risk register.
No answer library exists. Yet.
Most AI-native teams haven't answered these questions before. There's no 3-year-old SOC 2 response to copy from, no industry-standard phrasing to borrow. Every answer gets written from scratch — and every hallucination or imprecise claim costs legal hours to repair.
Meanwhile, regulations are moving: the EU AI Act is live, NIST AI RMF is firming up, ISO 42001 is gaining traction. Your buyers want conformity language, not philosophical answers.
Two strategies for AI governance. One platform.
Answering AI governance questionnaires faster matters. Stopping most of them from arriving in the first place matters more. Targhee handles both, and they share one AI-aware knowledge base underneath.
Deflect: publish the AI answers before they ask.
A Trust Center with your model card, subprocessor chain, training-data stance, and OWASP posture — behind a click-wrap NDA. Most AI governance questionnaires are buyers trying to confirm these artifacts exist. Show them first and the questionnaire often never gets sent.
- Model card & subprocessor chain, published once
- NDA-gated so buyers self-serve without back-and-forth
- Access logs surface buyer intent before the deal call
Automate: answer the rest with citations.
When an AI governance questionnaire does arrive, Targhee's AI drafts every answer from your model card, DPAs, policies, and eval reports — each line cited and confidence-scored. Your ML and security leads review flagged answers, approve the rest, export.
- Citations back to your model card & provider DPAs
- Confidence score flags low-confidence answers for SME review
- Export in the questionnaire's original format
Built for the parts of AI governance that actually trip you up.
The model provider chain. The framework coverage. The evidence requirements that didn't exist when your SOC 2 was written. Here's how Targhee handles the two hardest parts of AI vendor review.
Your model provider chain, answered once.
Enterprise buyers want one coherent answer to "what happens to our data in your AI stack" — not a scavenger hunt through five provider trust pages. Targhee indexes your OpenAI, Anthropic, Bedrock, and vector DB DPAs alongside your own policies and cites the right source for every question.
- Provider DPAs parsed and versioned (OpenAI, Anthropic, Bedrock, and more)
- Regional residency and zero-retention flags tracked per provider
- Automatic updates when a provider changes their terms
- One-answer output with citations to every provider in the chain
Every AI framework on the enterprise questionnaire.
The AI governance stack is new and moving fast. Targhee's knowledge base stays current on every framework your buyers reference — NIST AI RMF, EU AI Act, ISO 42001, OWASP LLM Top 10, MITRE ATLAS, model card format — so you don't have to track them all yourself.
- NIST AI RMF 1.0 — Govern / Map / Measure / Manage mapped
- EU AI Act — Article 6 classification, Article 25 value-chain responsibilities, Article 50 transparency
- OWASP LLM Top 10 — all 10 categories with control-doc pulls
- Model card format — Mitchell et al. 2019 supported as evidence and output
Every team dragged into AI vendor review.
AI governance questionnaires cross ML, security, and legal. Each of them gets pulled into every review. Targhee compresses the workflow for all three — without changing the review or approval authority any of them need.
Stop writing the training-data answer from scratch.
Your model card, eval results, and data lineage live in one knowledge base. Targhee drafts the answer — cited to your actual documentation — and you review flagged items instead of starting blank on every review.
How the AI drafts →Turn AI governance into a deal accelerant.
Instead of AI governance being the new blocker on every enterprise cycle, it becomes the category where you answer fastest. OWASP LLM posture, model provider chain, AI risk controls — all cited, all auditable.
Security workflow →Defensible answers your procurement team wants.
Every AI governance answer includes source citation and confidence score. When enterprise legal pushes back on a training-data or residency claim, you see the exact source document and can defend it in one click.
GRC workflow →What AI teams always ask us.
Common AI governance questions.
Specific to your model provider stack, your EU AI Act classification, or an enterprise review currently in your queue? Bring it to the demo — we'll walk through it live on your actual documents.
Book a demo →Bring an AI governance review to the demo.
Send us whatever enterprise AI assessment is currently stuck in your pipeline. We'll run it through Targhee live on your actual documents — model card, DPAs, policies — so you can compare the output to what your team would draft manually.