AI Agent Components & AIdeology Services
Explore our comprehensive AI agent architecture and how AIdeology's consulting services can help you implement each component for your business needs.
Scroll down to explore each component and our available deliverables
User Interface
The user interface provides an intuitive front-end for customers to interact with the AI agent through various channels including web, mobile, and voice interfaces.
How It Works
The User Interface layer is the primary touchpoint between users and your AI system. It determines how users interact with your AI agent and shapes their overall experience. From conversational interfaces to immersive 3D avatars, the right UI can dramatically increase engagement and adoption of your AI solution. Our implementations focus on creating intuitive, responsive, and accessible interfaces that align with your brand identity while providing seamless AI interactions.
Available Deliverables
Real Human Avatar
A photorealistic, animated avatar driven by AI to represent a live human in customer interactions.
Mobile App
Native iOS/Android app embedding your AI agent for on-the-go user engagement.
Website Popup Agent
Lightweight chat widget that pops up on your website to greet and assist visitors.
Voice Cloning
AI-powered cloning of a natural-sounding voice from sample recordings for TTS or conversational uses.
Hologram
Projection-based, interactive 3D hologram interface that users can engage with in real space.
Reasoning Layer
The reasoning layer enables smart selection of data and LLM options based on the input prompt, functioning as an intermediary coordinating interactions between LLMs and customer data.
How It Works
The Reasoning Layer is the 'brain' of your AI agent, responsible for understanding user requests, determining intent, and orchestrating the appropriate actions. This layer makes critical decisions about which data sources to query, which models to use, and how to structure the final response. Our reasoning implementations can range from simple prompt-based systems to sophisticated multi-agent architectures that can handle complex, multi-step tasks while maintaining context across interactions.
Available Deliverables
Enterprise Reasoning
A scalable, centralized reasoning engine with governance and context management for the organization.
Vertical Business Reasoning
Pre-built logic modules tailored to specific industries (finance, healthcare, retail, etc.).
Custom Reasoning Agents
Fully bespoke "brains" that encode your unique workflows, policies, and decision-trees.
Governance & Security
Real-time monitoring, risk assessment, data privacy protection, and bias mitigation to maintain transparency and accountability throughout the AI system.
How It Works
As AI systems become more integrated into critical business processes, governance and security become paramount. This layer ensures your AI operates within defined ethical boundaries, complies with relevant regulations, and protects sensitive data. Our governance implementations include comprehensive monitoring systems that track AI behavior, detect anomalies, and provide audit trails for all AI actions. We also implement robust security measures to protect against prompt injection, data leakage, and other AI-specific vulnerabilities.
Available Deliverables
AI Observability
End-to-end monitoring, logging, and dashboarding of AI model performance, usage and drift.
License Software
Legal/compliance review and licensing of any third-party or open-source AI software components.
AI Observability Layer
Technologies to analyze and create reports of the usage, performance and accuracy of the models and all its components.
Data Processing / RAG
The AI Agent, with access to data, acquires context and information through Retrieval Augmented Generation to provide accurate and relevant responses.
How It Works
The Data Processing layer is where your AI connects with your organization's knowledge and data. Through Retrieval Augmented Generation (RAG), your AI can access, process, and leverage information from various sources to provide accurate, contextual responses. Our RAG implementations include sophisticated document processing pipelines, vector database integrations, and custom retrieval strategies optimized for your specific data types and query patterns. This ensures your AI provides responses grounded in your organization's actual data rather than generic or potentially hallucinated information.
Available Deliverables
Supervised Doc Ingestion
Manual-guided ingestion and indexing of up to 500 pages (or equivalent data) for retrieval and QA.
Database Connection
Include Data base & entities analysis, ingestion, connection, integration with AI and QA testing for SQL and NoSQL databases.
Vectorial Database
Include design, deploy, connection, integration with data sources and AI using technologies like Qdrant, Weka, Pinecone, etc.
BI Connection
Include BI & entities analysis, ingestion, connection, integration with AI for platforms like Power BI, Tableau, etc.
Large Language Model
An LLM model processes the data and prompt, using its capabilities to interpret context and generate the most accurate and relevant response, ensuring it aligns with the user's intent.
How It Works
The Large Language Model (LLM) is the core AI engine that powers your agent's understanding and generation capabilities. Selecting the right model—or combination of models—is crucial for balancing performance, cost, and capabilities. Our LLM implementations include comprehensive model evaluation, fine-tuning on your domain-specific data, and optimization for production deployment. We work with all major LLM providers and can help you navigate the rapidly evolving landscape of foundation models to find the optimal solution for your specific use case.
Available Deliverables
Model Selection & Benchmark
Evaluate candidate LLMs (OpenAI, Llama, Anthropic, etc.) on latency, accuracy, cost, and domain fit.
Fine-tuning & Custom Training
Tailor an open or foundation model on your proprietary data, including hyperparameter tuning and validation.
Prompt Engineering & Testing
Craft, test and iterate prompt templates, few-shot examples and guardrails for reliable output.
Automations
Autonomously execute tasks by integrating with apps, systems, and workflows to perform actions based on user requests and AI understanding.
How It Works
The Automations layer transforms your AI from a conversational tool into an action-oriented system that can perform real-world tasks. By connecting your AI agent to your business systems and workflows, it can execute actions on behalf of users or trigger automated processes based on specific conditions. Our automation implementations range from simple API integrations to complex workflow orchestration systems that can coordinate multi-step business processes across multiple systems. This capability is what elevates AI agents from information providers to true digital assistants that can get work done.
Available Deliverables
Workflow Orchestration
Design and configure end-to-end workflows (e.g. Airflow, Prefect) to sequence AI tasks.
Event-Driven Automation
Trigger AI pipelines in response to webhooks, message queues or file drops.
Scheduled Job Setup
Set up cron-style or calendar-based jobs for periodic data refresh, training or reporting.
Error Handling & Retry Logic
Build robust retry, dead-letter queues and fallback paths to handle failures gracefully.
Integrations
Connect your AI agent with third-party applications, services, and custom systems to extend functionality and access data.
How It Works
The Integrations layer connects your AI agent to the broader ecosystem of applications and services your organization uses. Through these integrations, your AI can access data, trigger actions, and coordinate with existing systems to deliver a seamless experience. Our integration implementations include pre-built connectors for popular enterprise applications, custom adapters for proprietary systems, and API-based integrations that can connect virtually any service with an accessible interface.
3rd Party Apps / services integration
Include integration analysis, connection, deploy and QA testing with supported integrations.
Custom Apps / services integration
Include integration analysis, connection, deploy and QA testing with proprietary apps or unsupported 3rd party Apps.
API Connection (per API)
Include API analysis, connection, integration with AI and QA testing for standard REST APIs.
Response Format
Delivers responses in various formats including text-based NLP, audio and speech, reports and templates, and plots and graphics to suit different user needs.
How It Works
The Response Format layer determines how your AI communicates its outputs to users. While simple text responses are sufficient for many use cases, more sophisticated formats can significantly enhance the user experience and effectiveness of your AI solution. Our response format implementations include multimodal outputs ranging from voice synthesis and audio generation to dynamic data visualizations and interactive 3D elements. We ensure your AI can communicate in the most effective format for each specific use case and user preference.
Available Deliverables
S2T, T2S
Voice interface for AI and users input and output using standard S2T cloud services.
Custom Character 3D
Fully modeled and textured 3D character tailored to your brand, ready for real-time rendering.
Hosting
Flexible deployment options including cloud (AWS, Azure, Google Cloud), on-premise solutions (HPE, NVIDIA), and hybrid cloud configurations to meet specific security and performance requirements.
How It Works
The Hosting layer provides the infrastructure foundation for your AI system. The right hosting strategy balances performance, cost, security, and compliance requirements. Our hosting implementations include cloud-based deployments on major providers, on-premises solutions for organizations with strict data sovereignty requirements, and hybrid approaches that combine the benefits of both. We handle all aspects of infrastructure setup, including high-availability configurations, auto-scaling, and performance optimization specifically for AI workloads.
Available Deliverables
Deploy in existing client Cloud
Azure, GCP, AWS. Include deploy of two environments (pro and PRE) and end2end testing.
Deploy in existing Client On-Prem Server
Include configuration, deploy of two environments (pro and PRE) and end2end testing.
Deploy in new client Cloud
Azure, GCP, AWS. Include cloud configuration, deploy of two environments (pro and PRE) and end2end testing.
Ready to implement your AI agent?
Let our experts guide you through each component of the AI agent architecture to create a solution tailored to your business needs.
Customizable Components
Mix and match components based on your specific business requirements
Transparent Pricing
Clear deliverables and timeframes for each component implementation
Expert Implementation
Experienced AI engineers and consultants to guide your project