Agentic AI

Intelligent AI agent that acts ahead of human intervention

Engineered as a digital operational agent, Mekari Qontak’s agentic AI platform navigates the CRM system, ticketing, and external systems to orchestrate structured business processes from end-to-end.

4.8 rating Reviews from Gartner, G2, and Capterra

More than 35.000+ companies trust Mekari's products

One AI agent platform engine for diverse operational roles

Booking and reservations

Booking and reservations

Agentic AI manages inquiries, verifies real-time availability, and executes end-to-end booking confirmations without human intervention.

Service scheduling

Service scheduling

Agentic AI identifies patients, navigates available time slots, and orchestrates structured appointment scheduling across integrated healthcare systems.

Payment verification

Payment verification

Agentic AI validates proof of transfer, synchronizes order status updates, and triggers fulfillment protocols with surgical precision.

Complaints triage

Complaints triage

Agentic AI autonomously classifies and prioritizes inquiries, generates service tickets, and escalates to the optimal human agent for rapid resolution.

Agentic AI execution capabilities

Intelligent AI agents engineered to synthesize context, execute multi-system actions, and provide comprehensive performance reporting.

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Contextual intelligence

Agentic AI analyzes the nuances of conversation and validates customer intent before initiating any operational task.

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Cross-system execution

Agentic AI facilitates deal creation, ticket updates, payment verification, and the triggering of workflows across external apps.

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Unified interaction history

Agentic AI maintains a centralized record of all cross-channel interactions and customer data, ensuring contextual executions.

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Governance and scalability

Agentic AI operate within defined guardrails, featuring automated ‘Human-in-the-loop’ escalation for unauthorized executions.

A governed lifecycle for agentic AI deployment

Engineered to align with enterprise workflows, our agentic AI follows a structured, fully documented development and deployment lifecycle.

Configuration

Agentic AI are configured by defining specific operational roles, authorization boundaries, and business-critical regulations.

  • Customization of agent name, persona, and tone of voice
  • Establishment of authorization and escalation protocols
  • Controlled integration to CRM, ticketing, and external infrastructures
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Training and simulation

Agentic AI undergo rigorous validation using business-specific data and internal knowledge bases before handling customers directly.

  • Integration of the knowledge base into the internal workflow
  • Response validation based on real-world high-stakes simulations
  • Comprehensive testing of all system integrations before activation
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Controlled deployment

Agentic AI is launched via a phased, measurable approach to ensure organizational readiness and stability.

  • Initial implementation across limited channels or customer segments
  • Seamless integration across WhatsApp, web chat, and other channels
  • Real-time monitoring of business impact and operational health
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Evaluation and retraining

Agentic AI performance is continuously monitored and refined through proactive issue identification and retraining.

  • Tracking of resolution rates and human-handoff efficiency
  • Identification of unhandled edge cases
  • Iterative retraining powered by real-world interaction data
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Architect your automated business ecosystem with Mekari Qontak agentic AI

Navigating the Al agent maturity curve

Moving beyond basic customer response toward a new standard of autonomous task execution.

Basic chatbot

Conversational AI

Agentic AI

Architecture
Rule-based
NLP-powered
Action-powered
Interaction logic
Dependent on predefined keywords and specific triggers, no contextual understanding.
Driven by intent recognition and contextual understanding, with manual execution.
Powered by intent recognition, contextual understanding, and cross-system task execution.
Dialog depth
Navigation through structured, menu-driven flows.
Sustenance of complex, multi-turn human-like conversations.
Orchestration of parallel workflows across multiple agents.
System integration
Operates as a siloed FAQ and basic information relay.
Provides seamless handoff to live agents when complexity peaks.
Performs end-to-end execution via deep external system integration.
Operational impact
Static automation of repetitive inquiries.
Enhanced user engagement through linguistic flexibility.
Full-cycle task completion with automated status updates.
Locus of execution
Requires manual intervention for all tasks.
Automated logic with manual executions.
Independent execution of complex business processes.
Architecture
Basic chatbot
Rule-based
Conversational AI
NLP-powered
Agentic AI
Action-powered
Interaction logic
Basic chatbot
Dependent on predefined keywords and specific triggers, no contextual understanding.
Conversational AI
Driven by intent recognition and contextual understanding, with manual execution.
Agentic AI
Powered by intent recognition, contextual understanding, and cross-system task execution.
Dialog depth
Basic chatbot
Navigation through structured, menu-driven flows.
Conversational AI
Sustenance of complex, multi-turn human-like conversations.
Agentic AI
Orchestration of parallel workflows across multiple agents.
System integration
Basic chatbot
Operates as a siloed FAQ and basic information relay.
Conversational AI
Provides seamless handoff to live agents when complexity peaks.
Agentic AI
Performs end-to-end execution via deep external system integration.
Operational impact
Basic chatbot
Static automation of repetitive inquiries.
Conversational AI
Enhanced user engagement through linguistic flexibility.
Agentic AI
Full-cycle task completion with automated status updates.
Locus of execution
Basic chatbot
Requires manual intervention for all tasks.
Conversational AI
Automated logic with manual executions.
Agentic AI
Independent execution of complex business processes.

Transforming AI agents into digital personnel

Moving beyond generic templates, Mekari Qontak enables the construction of Al agents tailored to specific roles, authorization, and corporate regulations.

Step 1

Select AI Agent destination

Step 2

Communication style

Step 3

Scope of action

Step 4

Business rules

No agents have been created yet

Set preferences on the left, then click "Create agent profile"

Integration

Optimal integration with various business systems

Agentic Al integrates deeply with the Mekari ecosystems and external infrastructures through a combination of native integrations and robust API connectivity.

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FAQs about Mekari Qontak agentic AI

What is agentic AI?

Agentic AI is an AI agents that go beyond simply answering questions. They can understand conversational context, analyze customer data, make informed decisions, and automatically execute real-world actions across connected systems, such as creating tickets, verifying payments, or scheduling appointments, without requiring manual instructions at every step.

Unlike standard chatbots that stop at responding, agentic AI manages end-to-end workflows from start to finish. A single incoming message can trigger multiple systems simultaneously.

At Mekari Qontak, Agentic AI can facilitate bookings and reservations, create deals, process customer complaints and generate tickets, verify data, and seamlessly connect with external systems through API integrations.

What is the difference between agentic AI and traditional chatbots?

Traditional chatbots are restricted to script-based or keyword-driven responses. In contrast, agentic AI possesses contextual intelligence, allowing it to make decisions and execute real-time actions across multiple systems, such as generating tickets, updating CRM records, or verifying payments, thus eliminating the need for manual intervention.

Can agentic AI connect to my existing software stack?

Yes. Mekari Qontak agentic AI features native interoperability with the Mekari ecosystem and supports deep integration with external proprietary systems via API. This enables seamless synchronization with reservation engines, payment gateways, and other core operational tools.

What is the typical timeframe for AI agent configuration?

Initial configuration of the AI agent can be completed within days. The total implementation timeline for complex external integrations depends on the intricacy of your workflows and the readiness of the target system’s API.

Is technical expertise required to implement agentic AI?

No technical expertise is required for basic configuration through the Mekari Qontak’s agentic AI interface and can be done with no-code. For advanced external API integrations, we recommend coordination with your internal IT team or our technical specialists.

How does the AI agent determine when to escalate to a human representative?

Escalation protocols (Human-in-the-loop) are defined during the configuration phase based on specific triggers, such as detection of negative sentiment, queries exceeding the AI agent capability, or tasks requiring high-level authorization. Outside of these parameters, the AI agent operates with full autonomy.

Is agentic AI included in existing Mekari Qontak plans?

Yes, agentic AI features are included in our Qontak Service Suite (Plus and Ultimate), Qontak Sales Suite (Plus and Ultimate), and Qontak 360 tiers at no additional activation cost. For external system integrations, paid implementation options are available to meet your specific business requirements. Please consult to our team for a detailed assessment.

How is the security of data processed by the AI agent guaranteed?

Mekari Qontak’s Agentic AI operates within the Mekari infrastructure, which holds the ISO/IEC 27001:2022 international security certification. We guarantee that customer data remains secure and will not be used to train AI models. Every action performed by the AI agent is recorded in transparent, auditable logs.

Can a single Al agent manage multiple concurrent conversations?

Absolutely. Unlike human personnel, Al agents operate with parallel processing capabilities, meaning there are no queue limitations. A single AI agent can manage hundreds of simultaneous interactions with consistent response quality and zero latency.

Elevating service standards with agentic Al

Mekari Qontak agentic Al empowers autonomous, end-to-end service execution to accelerate customer satisfaction and operational agility.