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AI Agents
That Work For You

Develop & Deploy intelligent AI agents that automate complex tasks, make decisions, and integrate seamlessly with your existing systems. From customer service to data analysis, our AI agents adapt to your business needs.

User Input - Journey Begins
Task Breakdown - Agent Coordination
LLM Selection - Model Coordination
AI Output - Result Generation
✓ Output Complete
Pipeline Overview - Complete Journey
Journey Complete → Build Your Agent

Agentic AI Architecture

From Foundation Models to Business Solutions - Our comprehensive AI agent orchestration pipeline

Real-time Processing
Multi-Agent Coordination
Scalable Architecture

User Input Layer

Enter your prompt
|
⌫
Initializing...
VoiceTextUpload
Voice Commands
Text Input
Document Upload
API Requests
Visual Input
Sensor Data

Foundation Models Layer

GPT-4o
Claude 3.5
Gemini Pro
Llama 3
Amazon Bedrock
Google Vertex AI
Azure OpenAI
Mistral AI

Framework Layer

Agent Orchestration
Task Planning
Memory Management
Tool Integration
Decision Engine
Learning Pipeline
Security Layer
Monitoring Hub
RolePlay Agent
Swarm Agent

Business Applications Layer

E-commerce Assistant
Financial Advisor
HR Assistant
Healthcare Team
Manufacturing Control
Education Platform
Security Operations
Business Intelligence
Cloud Management
Feedback Analyzer
Hospitality Assistant
Legal Assistant

User Output Layer

Intelligent Responses
Automated Actions
Data Visualizations
Recommendations
Reports & Analytics
Real-time Notifications
0.0%
Uptime SLA
<0ms
Response Time
0K+
Requests/sec
0/7
Monitoring

Start your AI transformation journey today

RAG (Retrieval-Augmented Generation) in Agentic AI Systems

RAG combines the power of language models with real-time information retrieval from trusted data sources. It improves the accuracy, relevance, and context-awareness of AI agents by grounding responses in external knowledge.

Improved Accuracy through Real-Time Retrieval
Access up-to-date information from trusted sources for more accurate responses
Contextual Responses with External Knowledge
Leverage external databases and documents for context-aware AI interactions
Better Explainability and Trust in AI Output
Transparent sourcing and citation of information builds user confidence

Develop & Deploy Your AI Agent

Tell us about your requirements and we'll create a custom AI agent solution tailored to your business needs

Agentic AI & AI Agent Requirements Form

Basic Information

AI Agent Types (Select all that apply) *

Customer Service Agent

24/7 customer support automation

Sales Assistant

Lead qualification and sales support

Data Analysis Agent

Automated data processing and insights

Content Creation Agent

Automated content generation

HR Assistant

Recruitment and employee support

Financial Advisor

Investment analysis and planning

Healthcare Assistant

Medical diagnosis support

Education Tutor

Personalized learning assistance

Please select at least one AI agent type.

Use Case Description

Integration Requirements (Select all that apply)

CRM Systems

Salesforce, HubSpot, Pipedrive

Communication

Slack, Teams, Discord

E-commerce

Shopify, WooCommerce, Magento

Analytics

Google Analytics, Mixpanel

Databases

MySQL, PostgreSQL, MongoDB

Cloud Services

AWS, Azure, Google Cloud

Project Details

Additional Requirements

We'll review your requirements and get back to you within 24 hours with a detailed proposal.

Need Help? Get In Touch

Have questions about AI agents or need a consultation? Our team is here to help you find the perfect solution.

Email Us

Get detailed information about our AI agents

hello@aariyatech.co.uk

Call Us

Speak directly with our AI specialists

+44 7384025531

Live Chat

Chat with our AI agent for instant help