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product · 04.05 · knowhy assistant

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.

04.05.01 · product family

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

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.

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.

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.

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.

Knowhy enterprise AI assistant reporting panel — customer data analysis screen
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.

AI assistant conversation management screen — sessions, users, and message traffic
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.

Enterprise AI assistant live chat screen — handover to a human representative
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.

E-commerce AI assistant marketplace integration and response management screen
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.

AI assistant sentiment analysis and trending topic insight panel
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.

AI-generated executive report screen
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.

Enterprise AI assistant case tracking screen — customer request management
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.

CriterionKnowhy AssistantOff-the-shelf SaaS chatbotGeneral LLM API
Where data livesYour own servers or Turkey-hosted infrastructureProvider's cloud, usually abroadModel provider's overseas infrastructure
Model ownershipA fine-tuned model dedicated to your organizationOne standard model shared across all customersThe provider's general-purpose model
Training on your own dataFull scope: documents, catalogs, regulations, ERP/CRM, correspondenceLimited FAQ and document uploadPossible, but you must build all of it
Customization ceilingUnlimited at agent, flow, report, and interface levelBounded by templates and themesTechnically open, in practice built from scratch
Enterprise integrationERP, CRM, marketplace, and internal systems handled by KnowhyLimited to available connectorsEntirely on your development team
On-prem / closed loopAvailable — with no external API dependencyUsually unavailableUnavailable
GDPR/KVKK and ISO 27001Certified processes, data processing agreement, audit trailVaries by providerCompliance stays entirely with you
Reporting depthMulti-module panel, AI executive summary, case trackingBasic chat statisticsNone — developed from scratch
Operations and maintenanceHandled by the Knowhy teamHandled in-houseEntirely in-house
Cost modelProject plus service fee, predictablePer-user monthly subscriptionPer 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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  1. 01

    Brief & Discovery

    The Knowhy team analyzes your processes, audience, and usage scenarios. Together we define required agents, data sources, and success KPIs.

  2. 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.

  3. 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.

  4. 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.

04.05.12 · frequently asked questions

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.