AI Assistant Hub for Websites & Business Channels
Turn your website into a multilingual digital workforce — with AI assistants for Sales, Support, Customer Service, and HR, plus optional email automation.
This is not a generic chatbot. We start from a proven core platform, then customize the UI, content, workflows, and RAG knowledge architecture to match your business.
What it does
Answers customer questions 24/7 in their language
Uses your approved knowledge (PDF, Word, Excel, internal pages, databases)
Routes requests to the right team (Sales / Support / HR)
Captures leads with smart forms and conversation insights
(Optional) Reads inbound emails and drafts replies for approval
(Optional) Voice: speak & listen on the website
Department-specific AI agents
Sales Agent: qualifies leads, suggests next steps, drafts proposals and follow-ups
Support Agent: technical help based on your manuals, FAQs, and ticket history
HR Agent: internal policy Q&A, recruiting intake, candidate pre-screening
Email Agent: reads inbound emails, drafts replies, routes to owners — human approval before sending
π¨ AI Guest Concierge for Hotels
A bespoke edition of AI Assistant Hub, built per property
The same platform that powers AI Assistant Hub, tailored for hotels and tourism: a bilingual (Turkish/English) guest concierge that answers from YOUR hotel's own knowledge base — rooms and rates, restaurants, spa, transfers and policies — with source-cited answers, live availability awareness and graceful hand-off to reception. Every deployment is created specifically for one property: your brand, your documents, your rules.
- β Answers in the guest's language (Turkish / English), 24/7
- β Grounded in your hotel's documents via Azure AI Search RAG — with source citations
- β Room types, rates and availability awareness; booking hand-off to reception
- β Fully branded per property — colors, tone, policies, knowledge base
- β Runs on the same secure Azure-native platform core (Key Vault, content safety, audit)
See it live: our demo property "Grand Bosphorus Palace Hotel" runs this edition end-to-end — text and live voice.
Ask our AI about the Hotel EditionποΈ AI Property Advisor for Estate Agencies
Grounded in your live listings, not in documents
The same platform, for a business whose knowledge is inventory rather than paperwork. A bilingual (Turkish/English) advisor reads your live listing database: "a one-bedroom rental in Kadıköy between 70 and 90 square metres" returns the listings that actually match, each with its reference code — by text or by voice. Agents manage listings from a status board; customers search and browse on your site.
- β Understands a request in plain language — district, budget, size, rooms, rent or sale
- β Answers only from listings that exist right now, cited by reference code
- β Admin panel for listings with a status board (active, reserved, sold, rented, withdrawn)
- β The same advisor by voice — the customer can simply describe what they want
- β Connects to your existing listing system; the assistant never sees where the data came from
See it live: our demo agency "Marmara Estates" runs this edition end-to-end.
Ask our AI about the Real-Estate Editionπ§ Admin Agent — the assistant that checks its own work
Several AI vendors, one question, one set of your documents
Every YazılımAI deployment includes an internal assistant for your own team — grounded in your internal documents rather than in a model's general knowledge. What makes it different from ChatGPT, Claude or Microsoft Copilot 365 is that it is not tied to a single AI vendor: one deployment offers models from Azure OpenAI, Microsoft Foundry, Anthropic and Google side by side.
Two things a single-vendor assistant cannot do
A second opinion from a competitor
An answer written by one vendor's model is checked by another vendor's model against the same documents, and rewritten if the reviewer finds a claim your documents do not support. The reviewer's notes are shown, so you can see what was objected to and why.
The same question, side by side
Put one question to up to four models at once, all reading the same documents, answers in parallel columns. Because the evidence is shared, a disagreement between columns is the models disagreeing — not one of them having read something else.
Answers you can check, and costs you can see
- β Clickable citations — press a number and read the exact passage the sentence came from
- β A cited source that does not exist is refused rather than made to look real
- β Token and cost reporting per answer, and a 30-day total by model
- β Answers stream as they are written, with a stop button that keeps what has arrived
- β Attach a PDF, Word, Excel or text file to a question — nothing is stored
- β Reads the web when asked, searching in English whatever language you ask in
π Your internal documents live in a separate index no public assistant can reach, vendor keys never leave Key Vault, and a model with no key configured is never called at all.
Multi-Agent & Model-Agnostic Architecture
Optional multi-agent orchestration: stay model-agnostic — use the GPT-5 family (e.g., GPT-5.2 / GPT-5.1) and, where licensed, other models (e.g., Claude) behind an orchestration layer / Microsoft Agent Framework, with the option to add more models over time.
"Grounded" answers (reduced hallucinations)
With RAG (Retrieval-Augmented Generation), the assistant answers based on your company's sources — and can return citations to the original documents.
Enterprise security & privacy
Runs on Microsoft Azure (single-tenant per client if required)
Role-based access for admins and content owners
Encryption at rest and in transit
Optional Private Network / Private Endpoints
Auditing, logging, and monitoring (Application Insights)
For Technical Teams (Architecture Overview)
Core building blocks (typical):
- Azure OpenAI / Azure AI Foundry for LLMs (model-agnostic, latest GPT family supported)
- Azure AI Search for retrieval + hybrid search
- Azure Storage for document management (admin upload & categorization)
- Azure Document Intelligence (optional) for PDF extraction & structuring
- Orchestration layer / Agent framework (multi-agent routing, tool use, workflows)
- .NET / Blazor front-end + Web API backend
- Azure SQL / SQL Server for business data and app state
- Azure Key Vault for secrets and keys
Key capabilities:
- Knowledge segmentation by department, product line, region, or customer type
- Admin console for upload, taxonomy, re-index, and content lifecycle
- Conversation memory (safe), summarization, lead scoring, escalation rules
- Email workflow integration (e.g., Microsoft Graph) with approval gates
- Observability: trace prompts, citations, latency, and cost controls
RAG Architecture for Website Assistant
Our website AI assistant is powered by a production-grade Multi-Agent system built on Microsoft Agent Framework.
Why Microsoft Agent Framework?
- Native C#/.NET — first-class integration with Blazor and ASP.NET Core
- Official Microsoft Multi-Agent framework with stable API
- Built-in Plugin system for Tools (RAG, SQL, APIs)
- Multi-Agent orchestration with intelligent routing and hand-off
- Tool Gateway with RBAC, approval gates, and audit logging
Specialized Agents
- Sales Agent: service inquiries, pricing, lead capture, demo scheduling — with RAG over company knowledge base
- Support Agent: technical help, documentation search, customer history from Azure SQL, ticket creation
- HR Agent: resume analysis, candidate comparison, hiring workflow with human-in-the-loop approval
- Email Agent: inbound email processing, draft replies, routing to owners — human-in-the-loop approval before sending
Shared Infrastructure
Delivery Approach
Discovery
goals, data sources, languages, security constraints
MVP
core assistants + RAG + admin upload + reporting
Production
hardening, governance, monitoring, scaling, rollout
Ready to transform your website?
Let's discuss how AI Assistant Hub can work for your business.
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