ETIYA Agentic AI
por Etiya Bilgi Teknolojileri
Autonomous AI agents that act, decide, and deliver real business outcomes
Etiya Agentic AI Platform is an AI-native solution designed to move beyond conversational interactions and enable autonomous execution across business processes. It introduces AI agents that understand intent, reason over context, and act independently across systems, tools, and data sources to achieve defined business goals.
The platform currently incorporates the following specialised AI agents: Customer Care, Marketing, Catalog, Self Care, and Conversational AI Agent — each purpose-built to operate autonomously within their domain while collaborating seamlessly across the broader agent ecosystem.
At its core, the platform combines Large Language Models (LLM), Retrieval-Augmented Generation (RAG), memory management, and multi-agent orchestration to support end-to-end workflows. AI Agents can analyse information, select the right tools, trigger APIs and MCP servers, and complete tasks without constant human intervention — while remaining fully governed and auditable.
Built on a modular, microservices-based architecture, Etiya Agentic AI Platform supports enterprise-scale deployments across customer service, sales, marketing, and operations. It integrates seamlessly with existing BSS, CRM, ERP, and digital channels, enabling organisations to automate complex processes, reduce operational cost, and accelerate decision-to-action cycles.
Key Benefits
- Automate complex business processes with autonomous, goal-driven AI agents
- Reduce operational effort and manual handovers across teams and systems
- Improve time-to-market by enabling agents to act in real time
- Increase customer satisfaction through faster, personalised resolutions
- Maintain governance, security, and compliance with policy-aware guardrails
Key Features
- Autonomous AI agents with goal-based task execution
- Multi-agent orchestration with supervisor and specialised agents
- Context-aware reasoning using RAG-powered knowledge retrieval
- Tool calling, API execution, and MCP server integration across enterprise systems
- Configurable short-term and long-term memory with governance controls
- Built-in audit trails, policy enforcement, and compliance alignment
- Model-agnostic design supporting multiple LLMs
- Cloud-native, microservices-based Azure SaaS architecture
What Makes the Platform AI-Native
Etiya Agentic AI Platform embeds autonomy as a core design principle, not an add-on. Agents are built to think, decide, and act using dedicated AI services for reasoning, memory, orchestration, and execution — including Cognitive Load Time optimisation to minimise internal reasoning overhead and maximise responsiveness.
This architecture allows organisations to move from AI-assisted interactions to fully operational AI-driven workflows that deliver real business outcomes at scale, with every decision grounded in enterprise knowledge and traceable through automated audit trails.
Use Cases
- Autonomous customer service resolution and fulfilment
- Sales and marketing agents for personalised offers and engagement
- Operations agents for monitoring, diagnostics, and self-healing workflows
- Competitive intelligence and market monitoring agents
- Internal digital workers for back-office automation
Deployment and Technical Details
- Deployment model: Azure SaaS (cloud-native); on-premises supported
- Architecture: Microservices-based, API-first
- Integration: CRM, BSS, ERP, MCP servers, enterprise tools, and third-party APIs
- Standards: TM Forum aligned, enterprise integration ready
- Security: Role-based access, audit logs, policy-aware execution
