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Deploy RioAsk with full governance, audit logging, cross-model verification, and compliance controls. Built for regulated industries and teams that need consistent, auditable AI answers.
Every Enterprise deployment includes the full RioAsk platform plus governance, compliance, and operational controls designed for procurement-ready environments.
SAML/OIDC single sign-on. Role-based access control with Owner, Admin, and Member roles. MFA enforcement across all accounts.
Every question, action, and admin change is logged with timestamps, user context, and request metadata. Export-ready. Configurable retention.
Send your prepared prompt to 2+ AI providers simultaneously. Agreement scoring, contradiction detection, and disagreement reports — automatically.
Multiple harm categories screened before processing. Smart handling of professional terminology in medical and scientific contexts. Admin-defined custom rules.
Unlimited document upload. Multi-workspace knowledge base. Three grounding modes: any sources, cite sources, or strict source-only.
Choose and manage AI providers per workspace. Cost analytics dashboard. Route questions to preferred models with full cost visibility.
RioAsk prepares your question before any AI model sees it. Policy enforcement, safety protections, quality scoring, and audit logging all happen upstream — before the AI responds.
RioAsk is the control point. Your compliance, quality, and safety rules are enforced before any AI model sees the question.
Most AI governance focuses on model selection and output filtering. RioAsk adds governance at the question level — before any model is invoked. Safety protections, field-specific policies, and quality scoring provide a control point that's independent of which AI provider you use.
Enterprise governance operates before the AI responds. Policy enforcement, quality measurement, and safety protections are consistent and auditable.
| Control | How It Works |
|---|---|
| Consistent Results | Same question always produces the same quality preparation. No randomness, no variation between runs. Fully reproducible and testable. |
| Policy Enforcement | Custom compliance packs per workspace. Field-specific safety constraints and guardrails enforced before any AI model is invoked. |
| Quality Scoring | Every prepared prompt receives a quality grade across 4 checks: specificity, completeness, organization, and safety guardrails. Track quality trends across teams. |
| Field-Aware Handling | 14 professional fields with hundreds of specialties. Each field activates tailored context, follow-ups, and safety protections. |
| Smart Follow-Ups | Missing required context triggers targeted questions before the AI responds. No answer is generated until the input is complete. |
| Version-Controlled Rules | Rule versioning, auditing, and inspection. Every change is traceable and reversible. |
| Feature | Pro / Teams | Enterprise |
|---|---|---|
| Processing mode | Rules + AI | Rules + AI + Enterprise Controls |
| Fields | All 14 | All 14 + custom field packs |
| Smart follow-ups | Full AI | Advanced + custom rules |
| Document upload | 10–50 docs | Unlimited + bulk ingest |
| Quality scoring | Score + grade | Score + benchmarks + trends |
| Audit logging | — | Full logging + export |
| SSO | — | SAML / OIDC |
| Cross-model verification | — | Multi-provider + disagreement reports |
| Content moderation | — | Multi-category + admin rules |
| Deployment | Cloud | Cloud, on-prem, or hybrid |
| Data retention | Default | Configurable per workspace |
| SLA | Best-effort | 99.9% with dedicated support |
| Framework | Status | Details |
|---|---|---|
| GDPR | Ready | Data deletion, export, consent management, DPA available |
| CCPA | Ready | Right to delete, right to know, opt-out support |
| SOC 2 | Roadmap | Type II certification planned for 2026 |
| DPA | Available | Standard data processing agreement available on request |
AI providers act as subprocessors and do not retain customer questions or responses beyond request execution. Full subprocessor list available under NDA.
RioAsk gives enterprise teams consistent results, field-aware handling, quality scoring, and governance controls — all applied before any AI model sees the question. Your compliance, security, and quality requirements are enforced at the question level, independent of model selection.