AI Agents & Automation
Replace entire workflows with autonomous AI — not just chatbots
We build production-grade AI agent systems that plan, decide, and execute multi-step tasks without human involvement. From lead qualification to contract processing to 24/7 customer ops — if it has a pattern, we automate it.
What's Included
- Agentic workflows with LangGraph, CrewAI & OpenAI Agents SDK
- MCP (Model Context Protocol) server integrations
- Browser and desktop automation with Playwright
- Document processing — contracts, invoices, RFPs at scale
- AI-powered customer support that escalates intelligently
- Full observability — every decision logged, every run traceable
This Is Not a Chatbot
Chatbots answer questions. AI agents get things done. They browse the web, read documents, call APIs, make decisions, and hand off to humans only when they need to — without being asked.
What We've Automated
Lead qualification, contract review, invoice processing, competitive research, content generation at scale, customer onboarding, RFP analysis, compliance checks. If your team is doing something repetitive and rule-based, we can build an agent to do it faster and cheaper.
Built for Production
Most AI agent demos fall apart under real-world conditions. We build systems that handle ambiguity, recover from failures, and stay observable — every decision is logged, every error is caught, and every run is fully traceable.
Frequently Asked Questions
What is the difference between an AI agent and a chatbot?
A chatbot answers questions; an AI agent plans and executes multi-step tasks autonomously. Our agents can decide, call tools, process documents, and complete real workflows — like qualifying a lead or processing a contract — without a human at each step.
What workflows can you automate with AI agents?
Anything with a repeatable pattern — lead qualification, contract and invoice processing, RFP responses, 24/7 customer support that escalates intelligently, and internal operations. If a task follows rules and involves reading, deciding, and acting, it is a strong candidate for automation.
Which frameworks do you use to build AI agents?
We build production agents with LangGraph, CrewAI, and the OpenAI Agents SDK, and we integrate tools via the Model Context Protocol (MCP). For browser and desktop automation we use Playwright.
How do you keep autonomous agents safe and observable?
Every agent run is fully logged and traceable — each decision, tool call, and output is recorded. We add guardrails, approval steps for sensitive actions, and full observability so you always know what the agent did and why.
Tech Stack
Ready to Build Something
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Tell us about your project. We typically respond within 24 hours and can start within a week.