Autonomous AI agents
built for production.
We design and deploy AI agents that execute complex business workflows without human intervention. Not chatbots — autonomous systems that run 24/7.
Software that thinks, decides, and acts.
An AI agent is not a chatbot. A chatbot waits for questions and answers them. An AI agent receives a goal, breaks it into steps, executes actions through external tools, and adapts when something goes wrong.
Think of it as a digital worker. A support triage agent reads incoming tickets, classifies them by urgency, extracts key entities, routes them to the right team, and drafts an initial response — all in seconds. An invoice processing agent reads documents, validates data against your ERP, flags anomalies, and updates records without anyone touching a keyboard.
The difference between a demo and a production agent is error handling, observability, and governance. Our agents are built with retry logic, fallback paths, human-in-the-loop escalation, cost tracking, and real-time monitoring dashboards. They work reliably at scale because we engineer them that way from day one.
How we build AI agents.
Every agent project follows a structured process designed to minimize risk and maximize production reliability.
1. Workflow mapping. We start by mapping the exact workflow you want to automate. Every decision point, every exception, every edge case. This becomes the agent's instruction set.
2. Architecture design. We define the agent's tool set (APIs, databases, external services), its decision boundaries, escalation triggers, and monitoring hooks. We choose the right AI model for each decision — Claude for complex reasoning, lighter models for simple classification.
3. Iterative build & test. We build in weekly sprints with continuous testing against real data. Each sprint delivers a working increment you can review. We use evaluation frameworks to measure accuracy, latency, and cost per operation.
4. Production deployment. We deploy with full observability: logging, alerting, cost dashboards, and performance metrics. Every agent ships with runbooks, documentation, and a 30-day support window.
What you get.
- Production-deployed AI agent running on your infrastructure
- Real-time monitoring dashboard with cost tracking and performance metrics
- Error recovery and self-healing capabilities with human escalation paths
- Complete source code ownership — no vendor lock-in
- Technical documentation, runbooks, and architecture diagrams
- 30-day post-deployment support included in every engagement
Typical engagement.
Most AI agent projects take 4-6 weeks from discovery to production deployment. The timeline depends on the complexity of the workflow, number of integrations, and your team's availability for feedback.
Single-workflow automation. One AI model, 2-3 tool integrations. Ideal for ticket classification, email triage, or document routing.
Complex workflows with multiple decision points. 4-6 tool integrations, error recovery, and escalation logic.
Coordinated agents working together. Includes RAG integration, governance layer, and comprehensive monitoring.
All quotes are fixed-price. We provide a detailed proposal after a free 30-minute discovery call.
Ready to automate with AI agents?
Book a free discovery call. We'll map your workflow and give you a realistic timeline and quote.
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