Two interfaces.
One control layer.

Staff use a familiar chat interface at your own subdomain. Administrators manage policies, review compliance, and configure the platform from a dedicated control panel.

ai.yourcompany.com
Acme Corp Workspace
Active model
GPT-4o
Recent
Q3 board report summary
Vendor contract review
Client email drafts
RP
R. Patel
Staff
AI
Hello R. Patel. I am your Acme Corp AI assistant, governed by your organisation's policies and informed by your corporate knowledge base.
Memory active
RP
Can you help me draft an email to our client Sarah Johnson at sarah.johnson@techcorp.com about the delayed delivery? Order #48291 is 3 days late.
Policy Violation Detected
Medium
Prompt contains client PII and an order reference restricted under your Data Handling Policy v2.3.
Sarah Johnson[CLIENT_NAME]
sarah.johnson@techcorp.com[CLIENT_EMAIL]
#48291[ORDER_REF]
Type a message...
Overview
Dashboard
Audit Log12
Config
Policies
Memory
Access
Users
Dashboard
Interactions
4,821
+18%
Violations
143
-7%
Override rate
2.4%
12 this wk
Mem sources
38
14 docs
Interactions this week
M
T
W
T
F
S
S
Recent Alerts
PII override — client email shared
a.harris
High
Vendor contract, restricted type
r.patel
Med
Salary data in public-facing draft
t.williams
Med
Active Policies
Data Handling Policy v2.3
14 rules
AI Acceptable Use Policy
9 rules
GDPR Compliance Framework
22 rules
Role Permissions
RoleAIAuditPolicyAdmin
SuperAdmin
Admin
Auditor
Staff

Built for enterprise. Designed for compliance.

Every capability deployed entirely within your own environment, using your model subscriptions.

Safety Proxy

Every prompt scanned for policy violations and PII before reaching any model. Pre-anonymisation replaces sensitive data with safe placeholders.

Real-time scanPII detection

Policy Engine

Upload PDF, DOCX, or TXT documents. AI extraction converts policy text into enforceable rules. Regex handles common PII as a deterministic fallback.

PDF / DOCX / TXTAI extractionRegex fallback

Context Memory (RAG)

Index internal documents into a vector knowledge base. Every AI response reflects your organisation. Users can save chat snippets back into memory.

Vector storeRAG pipelineSelf-learning

Multi-Model Routing

Staff toggle between GPT-4o, Claude, and Gemini. All requests routed through your own API keys with identical governance applied.

GPT-4oClaudeGemini

Audit and Analytics

Every prompt and response logged with user ID, timestamp, model, and policy outcome. Dashboard analytics surface usage trends and violations.

Full logTrendsBreach alerts

Role-Based Access Control

Admin, Staff, Auditor, and SuperAdmin roles. Fully configurable per team and department with override governance built in.

AdminAuditorSuperAdmin

Voice and Speech Accessibility

Speech recognition for hands-free prompt input. AI responses played back via high-quality text-to-speech.

Voice-to-chatText-to-speechAccessibility

Override Governance

Authorised users may override interventions. Every override is timestamped, attributed, and triggers an immediate admin alert.

Severity levelsInstant admin alert

Context injected. Knowledge retained.

OramisAI maintains a living knowledge layer retrieved and injected at every AI interaction. Independent of any model, provider, or session.

How the memory layer works

Each interaction passes through retrieval and injection before the model sees the request. Relevant context, policies, and learned preferences are surfaced automatically.

1
Request received
From any interface or integration
2
Semantic retrieval
Relevant documents and context surfaced
3
Context injected
Policy, memory, and identity applied
4
Interactions feed back
Approved outputs reinforce organisational knowledge
Model-independent

Switch providers freely. Your knowledge is stored outside any model.

Live at runtime

Context retrieved and injected at the moment of each request.

Self-improving

Approved outcomes written back automatically. No manual curation needed.

Stored in your environment
Knowledge never leaves your perimeter
Semantic vector retrieval
Finds context by meaning, not keyword
Learns from interactions
Reinforces decisions and preferences

Ready to see it running?

Book a 30-minute technical demo. We will walk through deployment and what day one looks like.