When your AI gets it wrong
Can you prove what happened?
A single unreviewed AI output can cost you a customer, a contract, or a compliance audit. Put a risk layer between your model and your users — every response scored and logged before it reaches anyone.
“We were shipping AI features into a clinical workflow and had no way to know when outputs went sideways. Xelurel gave us a decision log we could actually show to our compliance team.”
Score. Review. Record. Alert.
Score
Every AI output gets a risk score before it reaches a user. Your policy decides what passes, what gets flagged, and what gets blocked — in under 100ms.
Review
Flagged outputs go to your team, not your users. Set the threshold, assign reviewers, and resolve edge cases before they turn into support tickets or mistakes.
Record
Every decision is logged with a timestamp, risk score, and the exact policy version that produced it. Prove what was active at any point in time. Export for audit. Roll back any policy change.
Alert
Get notified the moment your AI crosses a line. Webhooks fire in real time on every block or flag — with automatic retry and full delivery history. Your ops team knows before your users do.
After AI generates.
Before users see it.
Xelurel AI doesn't touch your model or change your stack. It plugs into the gap between AI output and user delivery — one API call that scores, routes, and logs every response.
One API call. That's it.
Drop Xelurel AI into any existing AI pipeline in an afternoon. No infrastructure changes, no new models, no vendor lock-in.
curl -X POST https://api.xelurel.com/v1/assess \
-H "Content-Type: application/json" \
-H "x-api-key: YOUR_API_KEY" \
-d '{
"prompt": "Summarize patient visit",
"output": "Patient given 500mg amoxicillin",
"use_case": "medical_note"
}'{ "decision_id": "9f4e2a1b-3c7d-...", "decision" : "review", "risk_score" : 42, "reasons" : ["contains medication dosage"] }
Already using the OpenAI or Anthropic SDK? Change one line. Every response is governed automatically — no other code changes.
// Before — your existing setup const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY }); // After — governance on every response, nothing else changes const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY, baseURL: 'https://api.xelurel.com/v1/proxy/openai', defaultHeaders: { 'x-api-key': process.env.XELUREL_API_KEY }, }); // Your existing calls are unchanged — every response is now scored, routed, and logged const response = await openai.chat.completions.create({ ... });
Anthropic users: swap for api.xelurel.com/v1/proxy/anthropic
Scoring historical outputs or running a compliance sweep? The /v1/assess/batch endpoint accepts up to 50 items per request — same policy, same audit log, no repeated round-trips.
If AI is in your product,
you need a risk layer.
Growing teams
Start here- AI customer support
- Internal AI tools
- AI writing & drafting
- Automated summaries
- Any AI-powered feature
Healthcare & Legal
High stakes- Clinical note generators
- Medical scribes
- Legal drafting tools
- Contract analysis AI
- Patient-facing outputs
SaaS & Platforms
Scale safely- Multi-tenant AI features
- Embedded AI products
- AI output monitoring
- Risk reporting for buyers
- Audit logs on demand
"Ship AI features fast.
Know when they slip.
Fix it before users do."
Xelurel AI doesn't slow down your AI — it gives you visibility into it. One integration. Every output scored. Every decision logged. Start in an afternoon, grow into compliance as you need it.
Try free →