Knowhy Assistant: an enterprise AI assistant. Trained on your own data, not just another chatbot.
A customizable enterprise AI assistant trained on your own organizational data. Specialized agents are orchestrated through A2A architecture, data stays local, and advanced multi-module reporting is built in. Task-first intelligence for commerce, public services, education, and internal operations.
AI assistant family: two assistants, one architecture.
Two flagship enterprise AI assistants working through live examples for commerce and information workflows.
01
E-commerce AI Assistant
24/7 sales advisor
A personalization and sales assistant for your store. Trained on your product catalog, it guides customers through shopping and can lift conversion up to 3x.
Natural Dialogue
Visual Analysis
Product Matching
Seasonal Trends
02
Informatic AI Assistant
knowledge-based guidance
For education, public services, and enterprise processes, it moves users toward the right information in the right step. It runs on your own regulation and document archive, reduces call load, and improves process completion.
NLP & Dialogue
ERP/CRM Integration
Data & Reporting
Multilingual Support
0%Customer Satisfaction
0xSales Conversion Lift
0%Cost Savings
0+Daily Active Users
04.05.02 · your own data
How do organizations build an AI assistant with their own data?
Knowhy Assistant is not a ready-made chatbot template. It is built on your organization's own documents, product catalog, regulations, and past correspondence. In four steps you receive an enterprise AI assistant that runs without your data ever leaving your own roof.
01
Connecting data sources
PDF and Word documents, product catalogs, regulatory texts, ERP/CRM records, call center transcripts, and web content are gathered into a single data layer. We decide together which source feeds which agent.
documents & files
ERP / CRM
product catalog
past correspondence
02
Indexing and semantic search (RAG)
Data is chunked, vectorized, and turned into a knowledge base specific to your organization. The assistant grounds every answer in those sources, and each response stays traceable back to the document behind it.
vector index
source citation
permission-based access
version tracking
03
Sector fine-tune and agent design
Models are fine-tuned for your organization's language, terminology, and response tone. Unlike a general-purpose model, the assistant speaks your sector's language and knows your processes.
organizational terminology
response tone
custom agent design
evaluation set
04
Deployment: cloud, hybrid, or on-prem
The assistant can run closed-loop on your own servers. No external API dependency, no data leaving your network, and a setup aligned with GDPR/KVKK and ISO 27001 requirements.
on-prem setup
GDPR / KVKK compliance
ISO 27001 processes
logs & audit trail
Your data is never passed to third-party model providers as training data. Fine-tuning and indexing run on Knowhy's Turkey-hosted infrastructure or directly on your own servers.
04.05.03 · live example
Informatic AI Assistant dialogue flow.
A real usage example from the active product — the smart KPI panel updates as the conversation moves.
knowhy.assistant · live
you
Where can I get a residence certificate on e-Devlet?
I'll guide you: e-Devlet > Population and Citizenship Affairs > Residence Certificate Inquiry. I can also open the direct link and walk you through authentication.
you
What do I do after identity verification?
After login, click “Create Document”. You can download and share the PDF. I can also create a step-by-step checklist if you want.
you
Our unit also needs a weekly report.
I pull ERP/CRM data and combine it with conversation logs. Delivery: KPI summary, transaction volume, wait times, top questions — all in the dashboard.
04.05.04 · why knowhy assistant
Why Knowhy as your enterprise AI assistant?
Unlike standard competitors, we deliver reliable and scalable systems through our own fine-tuned models.
24/7 Continuous Support
Resolve customer support requests 52% faster, with concurrent service beyond office hours and holidays.
Proven Cost Savings
Up to 60% savings in operating costs, 30% reduction in customer service costs, and 32% automation in manual processes.
Visual Processing & Personalization
Compatible product recommendations through visual analysis, smart matching from customer photos, and natural conversation memory across 30 contexts.
Secure Data Architecture
Local infrastructure without external API dependency, fine-tuned private models, and optional closed-loop on-prem integration.
Advanced Reporting
Multi-module reporting for strategic decisions. Customer behavior, interaction trends, and custom reports powered by AI.
Multilingual & Integrated
Smooth ERP/CRM integration, multilingual global support, and automated reports from financial data.
04.05.05 · agent-to-agent
A2A architecture: distributed intelligence in an AI assistant.
Instead of one oversized model, specialized agents coordinate for stronger performance: up to 35% higher customer satisfaction, 68% higher sales conversion, and 40% lower model cost.
Orchestratorrouting agent
Distributed intelligence between agentsHover over an agent — the Orchestrator detects the task, routes it to the relevant expert agents, and merges results in shared memory.
A2A systems are designed and operated by the Knowhy team. Clients only see the chatbot widget; no intervention in the agent structure is required.
04.05.06 · reporting
Enterprise AI assistant reporting system.
Track every interaction with your AI assistants through advanced analytics and uncover business insight: multi-module reports, live KPIs, and AI-supported summaries.
01 · panorama
Deep Analytical Power Over Customer Data
With the advanced analytics panel, you can inspect customer preferences, behavior, and needs in detail, then use that data to strengthen strategic decisions.
02 · conversations
Manage Every Customer Conversation From One Screen
The conversations panel lets you track every chatbot interaction, total sessions, unique users, and message traffic in one place. Filtering and detailed logs surface the topics that matter.
03 · live chat
Seamless Experience With AI and Human Representatives
Live chat brings together the assistant's fast replies and, when needed, real customer representatives for immediate solutions with human empathy.
04 · integration
Smart Response Management With Marketplace Integration
Marketplace integration lets you answer customer questions across platforms with speed, accuracy, and consistency. The assistant reduces workload and strengthens brand trust.
05 · insight
Deeper Customer Insight Through Advanced Analytics
Inspect trend conversations, frequent questions, and sentiment analysis in detail. Understand expectations sooner and respond with stronger data.
06 · ai summary
AI-Supported Automatic Executive Reports
AI analysis reviews every conversation and produces comprehensive management reports, so teams can focus on key issues without reading thousands of messages.
07 · cases
Cases Tab Keeps Every Request Visible
Every important conversation becomes an organized task tracked until resolution. No customer request disappears; the process stays transparent and orderly.
04.05.07 · our difference
How we differ from off-the-shelf chatbots.
We are not only a chatbot. We deliver task-oriented AI agents designed around the real needs of your business.
100% Secure
Reliable and scalable systems built with AI models we fine-tune ourselves. No dependency on external services such as ChatGPT, Gemini, or Claude.
Task-Oriented AI
Intelligent workers that do not only chat, but automate processes and solve operational problems.
Proven Results
95% customer satisfaction, up to 300% sales growth, and 60% savings in operational costs.
04.05.08 · comparison
Choosing a customizable enterprise assistant platform.
When you look for an assistant platform for AI transformation, three options usually appear: an off-the-shelf SaaS chatbot, a general LLM API, or an assistant developed specifically for your organization. Compare them across ten criteria before deciding.
Criterion
Knowhy Assistant
Off-the-shelf SaaS chatbot
General LLM API
Where data lives
Your own servers or Turkey-hosted infrastructure
Provider's cloud, usually abroad
Model provider's overseas infrastructure
Model ownership
A fine-tuned model dedicated to your organization
One standard model shared across all customers
The provider's general-purpose model
Training on your own data
Full scope: documents, catalogs, regulations, ERP/CRM, correspondence
Limited FAQ and document upload
Possible, but you must build all of it
Customization ceiling
Unlimited at agent, flow, report, and interface level
Bounded by templates and themes
Technically open, in practice built from scratch
Enterprise integration
ERP, CRM, marketplace, and internal systems handled by Knowhy
Limited to available connectors
Entirely on your development team
On-prem / closed loop
Available — with no external API dependency
Usually unavailable
Unavailable
GDPR/KVKK and ISO 27001
Certified processes, data processing agreement, audit trail
Varies by provider
Compliance stays entirely with you
Reporting depth
Multi-module panel, AI executive summary, case tracking
Basic chat statistics
None — developed from scratch
Operations and maintenance
Handled by the Knowhy team
Handled in-house
Entirely in-house
Cost model
Project plus service fee, predictable
Per-user monthly subscription
Per token, variable with usage
This comparison follows the criteria most often raised in enterprise assistant platform evaluations. If you prefer your own criteria list, we can fill it in together during the demo session.
04.05.09 · selection criteria
Eight questions to ask before you choose.
When evaluating a customizable enterprise assistant platform for AI transformation, ask every vendor to answer these eight questions in writing. Knowhy's answer sits under each one.
01
Where is our data physically processed and stored?
On your own servers (on-prem) or on Turkey-hosted infrastructure, depending on your preference. Data does not leave the country and is never handed to third-party model providers as training data.
02
Is the model dedicated to us, or shared across all customers?
Each organization gets its own fine-tuned model and its own knowledge base. Your data never feeds another customer's assistant.
03
How deeply can it be trained on our own documents?
Document archives, product catalogs, regulations, ERP/CRM records, and past correspondence are all included. Scope is defined by the project's needs, not by a file count or size cap.
04
Does it integrate with our existing ERP, CRM, and marketplace systems?
Integration is delivered by Knowhy; API and webhook development is part of the service. You do not need to staff an additional development team.
05
How is GDPR/KVKK and ISO 27001 compliance documented?
Knowhy holds eight independently audited certificates, including ISO/IEC 27001:2022 and ISO/IEC 42001:2023. Each project includes a data processing agreement, an authorization matrix, and an audit trail.
06
What happens when the assistant answers incorrectly?
Answers are grounded in source documents and remain traceable. Questions below the confidence threshold are handed to a human representative, and every critical conversation is tracked in the cases tab until resolved.
07
Which metrics does the reporting layer expose?
Conversation volume, unique users, sentiment analysis, trending topics, process completion rate, call load change, and an AI-generated executive summary. Custom report modules can also be built.
08
Who owns development and maintenance after launch?
The Knowhy team. New scenarios, new languages, and new reporting modules are added in agile cycles; you only use the widget and the reporting panel.
04.05.10 · agency model
We build it, you use it.
Knowhy Assistant is delivered as an agency service. Agent design, training, A2A orchestration, and operations are handled by Knowhy professionals. You use the chatbot widget and inspect reports; you do not manage models, data plumbing, or infrastructure.
01
Brief & Discovery
The Knowhy team analyzes your processes, audience, and usage scenarios. Together we define required agents, data sources, and success KPIs.
02
Data & Training
Agent training, fine-tuning, prompt engineering, and A2A orchestration are handled by Knowhy. Sector-specific models are trained securely with your own data.
03
Delivery & Integration
You receive the chatbot widget and reporting panel. ERP/CRM, marketplace, and existing system integrations are completed by Knowhy; no canvas or model access is required.
04
Continuous Improvement
New scenarios, new languages, new reporting modules, and custom requests are added through agile cycles. You watch the panels; we improve the system behind the scenes.
tailored layer
Customization & development layer.
Every institution is different. Knowhy opens the layers you need or develops new ones around your workflow.
Brand-specific widget
ERP / CRM / marketplace integration
Sector fine-tune & private agent
On-prem / closed-loop setup
Custom reporting modules
API & webhook development
Multilingual & new country rollout
Custom workflow automations
Clients do not receive canvas or model access; only the chatbot and reporting panel are delivered. The full development cycle is managed by Knowhy.
04.05.11 · corporate trust
A Turkey-based AI software company.
Knowhy İleri Teknoloji Ticaret Limited Şirketi is a software company operating in Dijitalpark Teknokent, Ataşehir, Istanbul, building its own products and delivering custom AI systems for organizations. In assistant projects your counterpart is the producer itself, not a reseller.
Independently audited certificates
Eight certificates including ISO 9001, ISO 10002, ISO 14001, ISO/IEC 27001, ISO/IEC 42001, ISO 31000, and ISO 45001 — all issued by an independent certification body and verifiable.
R&D inside a technology park
Development carried out in Dijitalpark Teknokent, with production capacity proven through our own products (fayra, LLMTR, Alzheimer AI, nöra).
Reviewable open source
Part of our internal tooling and product cores is public on GitHub, so our code quality and architectural approach can be inspected before you buy.
Corporate contracts and invoicing
Corporate contracts under tax ID 5641406556 (Kozyatağı Tax Office), a data processing addendum, and formal invoicing suited to public sector and large-scale procurement.
Enterprise AI assistant: frequently asked questions.
The questions we hear most often in assistant projects, with short answers. If yours is not listed, ask it directly during the demo session.
How do organizations build an AI assistant with their own data?
In four steps: document archives, product catalogs, regulations, and ERP/CRM records are gathered into a single data layer; those sources are vectorized into a knowledge base specific to the organization (RAG); models are then fine-tuned for the organization's terminology and response tone; finally the assistant is deployed to cloud, hybrid, or on-prem. At Knowhy the entire cycle is part of the service — you do not need to assign your own technical team.
How long does it take to launch an enterprise AI assistant?
A typical project runs 4 to 8 weeks from the discovery meeting to go-live. With a narrow scope and ready data sources, a first working version can ship in 2 weeks; projects with many ERP/CRM integrations or on-prem deployment take longer.
Where is our data stored, and is it GDPR/KVKK compliant?
Data is processed and stored either on your own servers or on Turkey-hosted infrastructure, according to your preference, and is not transferred abroad. Knowhy holds the ISO/IEC 27001:2022 information security management certificate, and every project includes a data processing agreement, an authorization matrix, and an audit trail.
What should we consider when choosing a customizable enterprise assistant platform?
The ten most critical criteria: where data is physically processed, whether the model is dedicated or shared, how deeply it trains on your own data, the customization ceiling, ERP/CRM integration capability, on-prem availability, how compliance is documented, reporting depth, who carries the operational load, and how predictable the cost model is. Ask every vendor to answer these in writing.
What is the difference from using ChatGPT or Gemini directly?
When you connect to a general-purpose model over an API, your data travels to the provider's overseas infrastructure, the model does not know your terminology, and cost stays variable with token usage. Knowhy runs on models it fine-tunes itself: data stays inside the organization, the assistant speaks your sector's language, and cost is project-based and predictable.
How do we request an AI assistant demo?
Fill in the demo request form. We reply within one business day and schedule a 30-minute live session covering the assistant's real answers on a sample document or catalog you share, the A2A architecture, the reporting panel, and the deployment cost model.
Which systems does Knowhy Assistant integrate with?
ERP and CRM systems, marketplace platforms, e-commerce infrastructures, internal document management systems, and call center software. Where no standard connector exists, Knowhy builds the API and webhook integration.
How many languages does the assistant support?
The multilingual NLP agent detects the language the user writes in and replies in that language at an appropriate level. Turkish and English are in standard scope; additional languages or new country rollouts are added in the customization layer.
Is an on-prem (closed-loop) deployment possible?
Yes. The assistant can run entirely on your own servers with no external API dependency. This setup is preferred especially in public sector, finance, and healthcare, where data cannot leave the organization's network.
Who is responsible for maintenance and development after launch?
The Knowhy team. Agent design, model updates, new scenarios, new language support, and new reporting modules are added in agile cycles. You only use the chatbot widget and the reporting panel; you never manage models, data, or infrastructure.
for your specific needs
Move ahead with an AI assistant built for your organization.
Start with a 30-minute live demo and a free one-hour technology consultation — a model trained on your own data, an integration plan, and an AI transformation strategy.