Healthcare
- Virtual patient intake assistant integrated with EHR systems
- Claims routing and pre-validation
Custom AI Agent Development & Managed AI Services
Scalable Automation for Business
Deploy custom AI agents tailored specifically for your industry’s workflow automation needs. Explore our full-service AI agent development solutions combined with comprehensive managed AI lifecycle services, engineered by experts and supported by enterprise-grade infrastructure.
Based in North America and serving clients across Canada, including Toronto, Montreal and Vancouver, our expert team designs, deploys, and maintains enterprise-grade AI agents that streamline workflows, improve decision-making, and amplify operational efficiency.
GET IN TOUCHBased in North America and serving clients across Canada, including Toronto, Montreal and Vancouver, our expert team designs, deploys, and maintains enterprise-grade AI agents that streamline workflows, improve decision-making, and amplify operational efficiency.
What Are AI Agents and Why Do They Matter for Business?
AI agents are more advanced than traditional chatbots. They are autonomous systems designed to understand natural language, make decisions, and take actions—often across multiple business systems.
Unlike basic bots that follow static scripts, modern AI agents are:
- Context-aware - They remember previous interactions and adjust responses over time.
- Integrated with business tools - They connect to APIs, CRMs, ERPs, HRIS systems, and more.
- Goal-driven - They can plan, reason, and carry out complex multi-step tasks without manual input.
Powered by Large Language Models (LLMs) and enhanced with tools like retrieval-augmented generation (RAG) and robotic process automation (RPA), these agents can perform everything from support triage to financial analysis to HR onboarding via chat, voice, or background workflows.
Why it matters:
Custom AI agents help businesses scale operations, reduce repetitive tasks, and improve decision-making while staying secure, compliant, and aligned with enterprise goals.
Our Custom AI Agent Development Process
Our process ensures strategic design, secure integration, and continuous improvement for AI agents operating across enterprise environments.
Use Case Definition & Discovery
- Identify automation opportunities through stakeholder workshops
- Analyze processes for AI-driven augmentation
- Assess security, compliance, and access control requirements
AI Agent Design & Architecture
- Define custom AI agent personas aligned with enterprise roles
- Map integrations (APIs, databases, enterprise systems)
- Design agent planning, memory, and execution mechanisms
LLM & Retrieval-Augmented Generation (RAG) Enablement
- Choose the right language model (OpenAI, Claude, open-source)
- Build RAG pipelines for grounded, real-time answers
- Develop secure prompt engineering protocols
Testing & Deployment
- Simulate real-world tasks and refine agent behavior
- Implement monitoring, logging, and human fallback systems
- Pilot deployment in production-like environments
Ongoing Managed AI Services
- Continuous model updates, retraining, and tuning
- Security patches and compliance checks (HIPAA, ISO 27001, SOC 2)
- Deliver SLA-driven support and analytics
AI Agent Architecture: What Powers a Fully-Functional AI Agent
User Interface & Channel Integration
Your AI agents can interact with users across multiple platforms including chat, voice, Slack, Microsoft Teams, mobile apps, or internal dashboards. This ensures a consistent and responsive experience across every workflow and device.
AI Agent Core
At the heart of every agent is an orchestration layer that interprets user intent, accesses memory, plans next steps, and executes tasks:
- Natural Language Understanding (NLU): Accurately interprets user queries or inputs.
- Memory Systems: Stores short- and long-term context to deliver coherent, personalized interactions.
- Planning Engine: Breaks down user goals into step-by-step execution plans.
- Action Executor: Performs tasks by interacting with tools, APIs, or internal systems.
Intelligence Layer: LLMs + RAG
- Large Language Models (LLMs): Foundation models (like OpenAI, Claude, or Mistral) provide flexible language capabilities.
- Retrieval-Augmented Generation (RAG): Grounds responses in your business data via vector stores (e.g., Weaviate, Pinecone).
Integration Layer
Agents must communicate with your existing systems. We enable:
- Secure API integrations with tools like ERP, CRM, HRIS, EHR, and custom apps
- Robotic Process Automation (RPA) for UI-based task completion
- Feedback and Logging: Telemetry for monitoring, user feedback, and error resolution
Lifecycle & Compliance Management
- Continuous monitoring and version control
- Regular retraining and context refreshes
- Security patching, audit logging, and compliance readiness
- Analytics-driven insights for performance and ROI
Let's build a better digital world together.
Our experts will guide you through the complex world of technology and cybersecurity.
GET IN TOUCHEnd-to-End AI Agent Management: Why Clients Trust Us
- Engineering Rigor: Our agents are built on real AI architectures, not just wrappers around LLMs.
- Full Stack Delivery: From LLM integration to DevOps pipelines, we handle the full deployment lifecycle.
- Managed Service Expertise: We don’t just ship. We manage, monitor, and continuously improve your agents.
- Cloud & On Prem Flexibility: Built to run securely on AWS, Azure, GCP, or your private HPC stack.
- Compliance- Aware: Our builds support HIPAA, SOC 2, ISO 27001, and privacy-first best practices.
Industries That Benefit from AI Agents
Finance & Banking
- AI financial assistant for client portfolio
- Risk flagging and anomaly detection
Enterprise IT & Cybersecurity
- AI co-pilot for SOC operations
- Helpdesk triage agent integrated with ticketing and knowledge bases
Retail & E-commerce
- Voice and chat product discovery
- Returns and shipping automation agent with integration
HR & People Ops
- HR policy assistant for onboarding and compliance
- Vacation approval and PTO automation through AI workflows
What is an AI agent?
An AI agent is an autonomous software system that can understand natural language, perform tasks, and interact with systems or users. Modern AI agents often leverage LLMs (Large Language Models), memory systems, planning modules, and API integrations to deliver complex workflows.
How do AI agents differ from chatbots?
Chatbots follow predefined scripts, while AI agents are adaptive, context-aware, and goal-oriented. AI agents can reason, make decisions, and interact with external tools and data sources dynamically.
What industries can benefit from custom AI agents?
Nearly every industry can benefit. We build AI agents for healthcare (patient intake), finance (portfolio management), cybersecurity (threat triage), HR (policy automation), retail (product discovery), and more.
What’s included in your managed services for AI agents?
Our managed service includes monitoring, updates, retraining, performance optimization, security patching, SLA-based support, and usage analytics. We ensure your agents stay effective and secure over time.
Can AI agents be deployed on-prem or in enterprise compliance and regulated AI deployment environments?
Yes. We support both cloud-native and on-prem/hybrid deployments with enterprise-grade compliance for HIPAA, SOC 2, ISO 27001, and more.
Build an AI Agent for Your Business
Create intelligent agents trained on your data to handle complex workflows and deliver accurate, contextual responses.