Customer
Incoming call
Live transcription
- Customer
Could we move my appointment to tomorrow?
- Kognitera
Of course. Does 2:00 pm tomorrow work for you?
- Customer
That works.
Call ended · 00:48Calendar updated
AI Customer Interaction Platform
Every channel, close to people.
Kognitera is an AI Customer Interaction Platform for automating, assisting, and understanding customer interactions across voice and digital channels.
Customer context
Appt · 2 pmAppointment · tomorrow 2:00 pmInsuranceInsurance questionDocs ✓Documents sent
00:00
Clinic
online
With the context of the previous conversation
Your appointment is tomorrow at 2:00 pm. We are sending the confirmation here as well.
- 11:20
I also want to ask about insurance forms.
- Handed to the team · context preserved
Handoff summary
- Summary
- Appointment moved to tomorrow 2:00 pm; insurance forms asked.
- Completed
- Calendar updated, WhatsApp confirmation sent.
- Next step
- Team answers the insurance question.
With the context of the previous conversation
- From
- Clinic team
- To
- Customer
Subject: Insurance forms · your appointment tomorrow at 2:00 pm
Hello,
The insurance forms for your appointment tomorrow are attached.
Clinic team
Interaction history
Customer · Appointment request
- Phone · 10:41Appointment moved to tomorrow 2:00 pmKognitera AI agent
- WhatsApp · 10:43–11:20Confirmation sent · insurance question handed to the teamKognitera AI agent → Clinic team
- Email · 14:05Insurance forms sentClinic team
Appointment confirmed · documents delivered · the customer did not repeat themselves
1 customer · 3 interactions · one context
Every channel, one context.
- Runs on your premises
- Optional cloud service
- You control the data
The problem
Phone, WhatsApp, email, CRM and the contact center live in separate systems; customer context and automation fragment with them.
Conversations scatter across systems
A phone call lives in one system, a WhatsApp conversation in another.The CRM knows only part of the story
Ticketing, calendars and the contact-center platform each stand on their own.Quality tools review past interactions separately
Analysis of past interactions sits in a tool apart from the live conversation.AI agents operate in yet another silo
Understanding, acting on business systems and collaborating with humans do not meet in one layer.
Capabilities
Run the conversation, support the team, understand the outcome.
Kognitera brings these pieces together on one interaction foundation: three product families share the same history, permissions and system connections.
- 01Autonomous
Agents
Run the conversationAutonomous AI agents that talk to customers directly.
- 02Human + AI
Assist
Support the teamAI that helps the team during customer interactions.
- 03Analysis + quality
Intelligence
Understand the outcomeAnalysis, quality, customer signals and operational insight.
Interaction Platform
Channels, participants, history, integrations, security and operations: the foundation the other three stand on.
One interaction foundation
Channels live apart
Every channel is kept in its own system: a call in one place, a WhatsApp thread in another. Because the channels are separate, customer context and automation are split too.
One interaction foundation
An interaction is more important than the channel.
Channels live apart
Every channel is kept in its own system: a call in one place, a WhatsApp thread in another. Because the channels are separate, customer context and automation are split too.
One foundation
Kognitera keeps the interaction in a single channel-neutral model: participants, content, history, business actions and handoffs live in the same record. AI agents, the team and Intelligence work on top of that model; a new channel does not require a separate product universe, and the actions that reach business systems come from the same record.
01AI Agents
Buy outcomes, not infrastructure.
Packaged agents solve recognizable business problems with minimal configuration. Each one owns a specific job end to end.
Answers incoming calls, handles common questions and routes the request to the right place.
Channels
Phone
Customer· voiceAre you open at weekends too?Agent· voiceWe are open on Saturdays. Let me take your number so the team can share the details.Customer· voiceSure, they can reach me on this number.
Question answered, contact information capturedCRM
Create as many agents as you need: design their behavior, workflow and outputs on screens without code, and try them before going live.
The voice agent runs a natural phone conversation in Turkish and other languages.
- Natural turn taking
- Interruption handling
- Transfer
- Human handoff
AI Receptionist
Answers incoming calls, handles common questions and routes the request to the right place.
Channels
Phone
Customer· voiceAre you open at weekends too?Agent· voiceWe are open on Saturdays. Let me take your number so the team can share the details.Customer· voiceSure, they can reach me on this number.
Question answered, contact information capturedCRM
Screens are example scenarios.
02Assist
AI and humans working together.
Knowledge and a suggested response
Realtime transcription, customer context and relevant knowledge stay next to the team, with a suggested response on the same screen.
Next step and alerts
The next best action, process and compliance reminders and sentiment or risk alerts appear while the interaction is still running.
Sample conversation: moving an appointment · phone · team screen
CustomerCould we move my appointment to tomorrow?TeamOf course, let me check.
Suggested response
Tomorrow at 14.00 looks free. If you confirm, I will move your appointment.
- Next best actionMove the appointment and send confirmation
- Compliance reminderComplete identity verification
- Sentiment and riskNo sign of frustration
The team takes over with what the customer already said.SummaryCompleted actionsRecommended next action
03Intelligence
Every interaction becomes useful data.
Interaction analysis
Summary, outcome and frustration signals come out of every interaction; the same speech analytics also applies to passive recordings.
Automatic tagging
Intent, topic, sentiment and outcome are derived automatically for every interaction.
Automatic quality assurance (Auto QA)
Scorecards, compliance checks and required-script verification run automatically; every finding carries its explanation and stays open to human review.
Conversations become text as they are spoken, in Turkish and other languages, passive recordings included.
Sample conversation: moving an appointment · phone · after the conversation
Realtime transcriptionCustomerCould we move my appointment to tomorrow?TeamSure, tomorrow at 14.00 looks free.CustomerI also want to ask about my insurance coverage.TeamLet me verify your identity and check the coverage.
Interaction analysisOutcome: appointment moved, insurance question left for follow-up
Automatic taggingIntent: appointment changeTopic: insuranceSentiment: neutralOutcome: follow-up needed
Automatic quality assurance (Auto QA)
- Identity verification
- Appointment confirmation
- Insurance information
Every finding links to the conversation line it rests on.
Product screens
See the product on screen.
Several AI agents take turns in one conversation and the team takes over when needed; customer signals and handoffs appear on the same screen.
Live conversations
Several AI agents take turns in one conversation and the team takes over when needed; customer signals and handoffs appear on the same screen.
- Agents in this conversation
- Customer signal
- Human handoff
Agents
Create as many agents as you need; each takes on one business process and shares common rules.
- Common rules
- Agent connected to a business system
- New agent
Configuration
Behavior, workflow and outputs are defined on screens without code; the resulting instructions are reviewed before going live.
- Inherited rules
- Scenario flow
- Review
Test area
Before going live, an agent is tried in text and voice without connecting to a phone line.
- Chat rehearsal
- Record preview
- Voice test
Operations panel
Conversation volume, agent performance and live events are followed on one panel.
- Volume by channel
- Agent performance
- Live events
Real product screens; sample data.
Integrations
Keep the infrastructure you already have.
Kognitera does not require you to replace your communication stack; it connects to your existing telephony, messaging providers and business systems.
Pick a system
What it does
- Answers questions using the information in the system
- Creates and updates records
- Starts tickets and workflows
- Opens follow-up tasks
The connection scope is confirmed together before installation.Ready-made connectorIntegration through your APIProject-specific
Deployment
Choose the environment it runs in.
SaaS and on-premise are deployment forms of the same product, not separate architectures.
SaaS
Infrastructure and operations: Kognitera.Runs as shared or dedicated SaaS.Private cloud
Infrastructure: the customer's cloud.Operations: the customer's team or with Kognitera support.On-premise
Infrastructure: the customer's servers.Operations: the customer's team or with Kognitera support.Restricted connectivity and local models are possible in this deployment.
No deployment option is inherently more secure than another; the boundaries are set by configuration.
Your data stays on your premises or in the environment you choose.
Defined in every deployment
- Retention period
- Access permissions
- Audit log
The operating model is agreed together before installation.
Who it is for
Start with one product, grow as you need.
Large organizations use the platform with their own systems and deployment choice; a small business starts with a single agent.
Enterprises
In high-volume, regulated industries, alongside your existing PBX, CRM and business systems.
Banking and finance
Card, account and application questions arrive in high volume; every conversation needs verification and compliance.
- AgentsAnswers common questions with authentication and performs supported actions
- AssistCustomer history, process guidance and compliance reminders for the representative
- IntelligenceMandatory script verification, complaint risk and quality assurance
On-premise or private cloud; restricted connectivity and local models
Insurance
Claims, policy questions and renewals reach the same customer through different channels.
- AgentsTakes claim notifications and policy questions and opens the case
- AssistAt handoff the summary, verified identity and completed steps go to the team
- IntelligenceChurn signals, satisfaction prediction and escalation risk
SaaS, private cloud or on-premise
Telecommunications
Billing, plan and fault calls stretch the contact center at peak hours.
- AgentsPerforms supported actions for billing and plan questions and escalates complex cases
- AssistSuggested response and next step, automatic summary after the call
- IntelligenceQuality assurance on every conversation, root-cause signals and trends
Alongside your existing PBX and CCaaS
Healthcare groups
Appointment lines, patient questions and reminders run across several hospitals and units.
- AgentsBooks, reschedules and reminds by phone and WhatsApp
- AssistConversation summary and follow-up task for the patient services team
- IntelligenceComplaint risk, communication quality and trends by unit
On-premise or private cloud
Contact centers and BPOs
Several clients and campaigns run with the same teams; speed and quality are measured together.
- AgentsHandles first contact and simple requests on inbound and outbound calls
- AssistReal-time transcription, suggested responses and an after-call summary
- IntelligenceAutomated quality assurance and configurable scorecards on every conversation
Alongside your existing PBX and CCaaS, including passive recording
Retail and e-commerce
Order, return and delivery questions peak during campaigns.
- AgentsRetrieves order status and records return and exchange requests
- AssistOrder details and customer history in front of the team at handoff
- IntelligenceComplaint topics, root-cause signals and purchase likelihood
SaaS or private cloud; with CRM and ticketing systems
Small and medium businesses
Packaged agents take on a familiar job with minimal configuration.
Clinics and healthcare
Incoming calls, appointments and reminders.
PhoneAppointment AgentDo you have a slot for a check-up on Thursday afternoon?
Thursday at 3:30 pm is free. Shall I book it in your name?
Appointment booked, reminder scheduled
Real estate
Inbound leads are qualified and the meeting lands in the agent's calendar.
WhatsAppSales AgentI'm looking for a three-bedroom flat to rent in Kadıköy.
We have listings that match. Shall I set up a call with our consultant tomorrow at 11:00?
Lead qualified, passed to a consultant
Restaurants and cafés
The phone is answered at peak hours and the booking is recorded.
PhoneAppointment AgentCan I book a table for four on Saturday evening?
We have a table at 8 pm on Saturday. What name should I put it under?
Booking recorded, confirmation sent
Hotels and hospitality
Guest questions are answered day and night; the rest goes to the front desk.
WhatsAppAI ReceptionistCould I check in early?
It's possible if your room is ready. Shall I pass your request to the front desk so they can get back to you?
Question answered, passed to the front desk
Salons and beauty
Appointment questions on Instagram don't go unanswered.
InstagramAppointment AgentAny free slots for a haircut tomorrow?
Tomorrow at 2:00 pm and 4:30 pm are free. Which one should I book?
Appointment booked
Service and repair
The service visit is announced and the customer confirms.
WhatsAppNotification and Follow-up AgentYour service request is open; a technician will visit tomorrow between 10:00 and 12:00. Does that suit you?
Yes, I'll be at home.
Confirmation received, service record updated
Sample conversation
Trust principles
A platform that can explain what it did.
Suggestions and findings tied to their source
Suggestions and findings are linked to the document section or conversation line they rest on.
Permitted-action boundary
Actions in business systems are defined up front; requests outside that definition are handed to the team.
Handoff with context
When a conversation moves to the team, the summary, completed actions and next step travel with it; the customer does not need to repeat themselves.
FAQ
Frequently asked questions
Remaining questions are covered in the demo call, on your own flow.
Move customer interaction forward.
The AI Customer Interaction Platform for automating, assisting and understanding customer interactions across voice and digital channels.