Agents That Act, Not Just Answer
We build custom AI agents that handle real business processes autonomously. Not chatbots. Not copilots. Agents that take action, make decisions, and get work done.
Working agent prototype in 15 days. Production-deployed in 30.
Custom AI Agent Development Services
Task-Specific Agents
AI agents built to handle one process exceptionally well — data extraction, customer onboarding, document review, order processing, code review, or any well-defined workflow your team currently does manually.
Multi-Agent Systems
Complex workflows that require multiple AI agents working together — coordinating, delegating, and validating each other's work. Built with proper orchestration, error handling, and human-in-the-loop checkpoints.
Agentic Workflow Automation
End-to-end business process automation powered by AI agents. We connect your agents to your existing tools — CRMs, ERPs, databases, APIs, email — so they operate inside your real infrastructure.
Conversational AI Agents
AI agents that handle customer-facing interactions with real reasoning capabilities — not scripted decision trees. Product recommendations, support triage, appointment scheduling, and guided workflows.
Internal Knowledge Agents
Agents that have deep access to your company's internal documentation, data, and systems. Your team asks questions in natural language and gets accurate, sourced answers with the ability to take action.
How We Build AI Agents
Define the Agent's Job
Every agent starts with a clear mission: what decisions does it make, what actions does it take, what tools does it use, and when does it escalate to a human? We scope this precisely before writing a line of code.
Build the Agent (15-Day Sprint)
We build a functional agent prototype that demonstrates the core capability with real or representative data. You'll see it work, test edge cases, and validate the approach.
Harden for Production
Agents in production need guardrails. We add error handling, retry logic, rate limiting, cost controls, output validation, and human-in-the-loop checkpoints. We test extensively for failure modes.
Deploy & Monitor
We deploy your agents to your infrastructure with full observability — logging every decision, tracking costs, monitoring performance, and alerting on anomalies. You see exactly what your agents are doing and why.
Built on the Agentic AI Stack
Agent Frameworks
LangChain 
CrewAI 
Pydantic LLM Providers
OpenAI 
Anthropic 
Meta (Llama) 
Mistral Infrastructure
AWS 
Google Cloud 
Azure 
Docker 
Kubernetes Agentic AI Development — Real Use Cases
Operations & Back-Office
Agents that process invoices, reconcile data between systems, generate reports, manage inventory, and handle the repetitive work that keeps your operations team buried.
Customer Experience
Agents that triage support tickets, handle tier-1 inquiries, personalize product recommendations, and manage onboarding flows — escalating to humans only when needed.
Sales & Marketing
Agents that research prospects, enrich CRM data, draft personalized outreach, qualify inbound leads, and summarize call transcripts.
Engineering & Development
Agents that review pull requests, generate documentation, monitor deployments, triage bugs, and manage release processes.
Compliance & Legal
Agents that review contracts for risk clauses, monitor regulatory changes, generate compliance reports, and flag anomalies in audit data.
Why Companies Choose Us for AI Agent Development
We build agents that run in production — not demos.
Anyone can chain a few API calls together in a notebook. We build agents with the error handling, guardrails, and monitoring needed to run unsupervised in your business.
We've shipped agents across industries.
From document processing pipelines to customer-facing conversational agents to multi-agent orchestration systems. We know where agents work and where they don't.
We move fast without breaking things.
15-day sprint to a working agent prototype. 30 days to production. But every agent ships with proper observability, human-in-the-loop controls, and failure handling.
We stay current so you don't have to.
The agentic AI landscape moves weekly. New frameworks, new models, new patterns. We track what's production-ready vs. what's hype so you don't waste time on dead ends.
Build Your First AI Agent in 15 Days
Tell us the process you want to automate. In 15 days, you'll have a working agent prototype that demonstrates exactly how it handles the workflow — with real data, real edge cases, and real results.
AI Agent Development — FAQ
What's the difference between an AI agent and a chatbot?
A chatbot responds to questions. An AI agent takes action. Agents can access tools, query databases, call APIs, make decisions based on context, and execute multi-step workflows autonomously. They do work — chatbots answer questions about work.
How do you ensure AI agents don't make costly mistakes?
Every production agent includes guardrails: output validation, cost limits, rate limiting, human-in-the-loop checkpoints for high-stakes decisions, and comprehensive logging. You define the boundaries — we enforce them in code.
What does agentic AI development cost?
Our AI Sprint (15-day agent prototype) starts at $9,000 CAD. Production builds and ongoing agent development are scoped based on complexity.
Can AI agents integrate with our existing tools?
Yes. We build custom integrations with your CRM, ERP, databases, APIs, email systems, Slack, and any other tools in your stack. Agents work inside your infrastructure.
How long does it take to build a production AI agent?
15 days for a working prototype, 30 days for production deployment. Complex multi-agent systems may require additional development time.
Do you use open-source or proprietary models?
Both. We select the right model for each use case based on performance, cost, latency, and data privacy requirements. We'll recommend the best approach during scoping.