From setup to safe AI operations in five steps
AREEP is designed to go live in days. Here is exactly how a workspace moves from empty to running with approved-knowledge AI answers.
Create client workspace
A platform admin provisions a secure, isolated workspace for your organization — with its own roles, permissions, and data boundaries. Nothing leaks between clients.
Add channels
Connect WhatsApp, Telegram, Messenger, and your website in a few clicks. Every channel flows into one unified inbox with a single conversation history.
Add products and knowledge
Create a profile for each drug or product, then upload your approved files — leaflets, guidelines, FAQs, and documentation. AREEP indexes them per product.
Agents answer with RAG
AI agents retrieve the right document from your tenant knowledge base and answer grounded questions. Low confidence automatically escalates to your team.
Review, report, improve
Monitor analytics, gaps, escalations, and daily and weekly reports. Close knowledge gaps with clear recommendations.
Secure, isolated workspaces
Each client gets its own workspace inside the platform. Admins control who has access, what roles exist, and what each user can see and do. Tenant isolation is a foundation, not an afterthought.
- Role-based access for every user.
- Strict data boundaries between clients.
- Clients are created by admins — no public signups.
Connect the channels you already use
AREEP connects to the messaging platforms your customers already live on. Once connected, every message lands in a unified inbox with a full conversation history.
- WhatsApp, Telegram, Messenger, and web.
- Add or remove channels per workspace.
- Unified customer memory across channels.
Upload your approved knowledge
This is the heart of AREEP. You define, per product, exactly which documents the AI is allowed to answer from. The AI can only use what you approve.
- Drug / product profiles with files.
- Leaflets, guidelines, FAQs, and more.
- Uploaded files are indexed for retrieval.
AI agents answer — safely
When a customer asks a question, AREEP retrieves the relevant approved document and generates an answer grounded in it. Confidence and policy checks decide the outcome.
- Retrieval-augmented answers with citations.
- Low-confidence and sensitive cases escalate.
- Humans review and override when needed.
Review analytics and keep improving
Once live, AREEP continuously surfaces what your customers ask, how well the AI performed, and where your knowledge has gaps — with concrete recommendations.
- Daily and weekly operational reports.
- Gap reports and recommended knowledge additions.
- Drug-level and channel-level analytics.
Architecture designed for business clarity
You don't need to understand every technical detail — but here's the high-level design that makes AREEP safe, controllable, and cost-aware.
Laravel Backend
The system of record: dashboards, authentication, channels, and conversations.
- Workspaces and roles
- Channel connectors
- Conversation records
LLM Backend
Where the intelligence lives: agents, retrieval, analytics, and escalation.
- AI agents and RAG
- Confidence-based escalation
- Analytics and reports
LLM Manager
Model routing, API keys, and usage tracking in one place.
- Smart model routing
- Central API key management
- Usage and token tracking
Walk through the five steps with a real example
Book a demo and we'll show you a workspace, channels, knowledge base, agents, and reporting.