AI Agent Development

Custom AI Agents That
Think, Decide & Act

We design and deploy autonomous AI agents for lead qualification, customer support, document processing, and complex multi-step workflows. From idea to production in weeks.

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AGENT RUNTIME RUNNING
Trigger: New Lead
webhook → CRM event
LLM Reasoning
Qualify & Score Lead
GPT-4o → decision logic
Conditional Branch
High score → Sales
Low score → Nurture
Last run: 2m ago ↑ 94% accuracy
Our Process

How We Build Your Agent

A structured 4-step process that gets your agent from whiteboard to production without surprises.

01
Discovery
We map your workflows, identify automation opportunities, and define exactly what the agent needs to do — and not do.
02
Design
Architecture decisions, tool selection, LLM choice, memory strategy, and error handling — all documented before a line is written.
03
Build
We build iteratively, sharing demos along the way. You see the agent in action before it's "done" — feedback loops baked in.
04
Deploy
Production setup, monitoring, error alerts, and handoff documentation. Your team knows exactly how it works.
What We Build

Agent Use Cases

Agents we've shipped — and patterns we know inside out.

Lead Qualification Agent
Scores inbound leads based on fit criteria, enriches data from LinkedIn and company databases, and routes to the right rep automatically.
Customer Support Agent
Handles tier-1 support questions, escalates edge cases to humans, and learns from your knowledge base to improve over time.
Document Processing Agent
Reads invoices, contracts, and reports — extracts structured data, validates against rules, and writes to your system of record.
CRM Automation Agent
Keeps your CRM clean — updates contact records, logs activity, creates tasks, and ensures no deal falls through the cracks.
Email Automation Agent
Drafts personalized follow-ups, categorizes inbox, triggers sequences based on behavior, and handles replies with context awareness.
Meeting Scheduling Agent
Books discovery calls, sends reminders, prepares briefing docs before meetings, and logs outcomes to your CRM after.
Technology

Our Tech Stack

Battle-tested tools we use to build reliable, production-grade agents.

n8n
Orchestration & workflow
LangChain
Agent framework
OpenAI
LLM backend (GPT-4o)
Anthropic Claude
LLM backend (complex reasoning)
Pinecone
Vector store & memory
Supabase
Database & storage
FAQ

Frequently Asked Questions

An AI agent is autonomous software that can perceive its environment, reason about goals, and take actions to achieve them — without constant human input. Unlike simple bots, agents can handle multi-step tasks, make decisions, use external tools, and adapt to changing conditions in real time.
Most AI agents take 2–4 weeks to build, depending on complexity. A simple lead qualification agent can be ready in under two weeks. More complex agents with custom integrations, memory systems, or multi-agent orchestration may take 4–6 weeks.
We build agents using n8n for orchestration, LangChain for agent frameworks, OpenAI and Anthropic Claude as LLM backends, Pinecone for vector memory, and Supabase for data storage. We select tools based on your specific requirements and budget.
Cost depends on the agent's complexity, number of integrations, and required capabilities. A simple single-purpose agent starts at a few thousand dollars; enterprise-grade multi-agent systems are scoped individually. Book a free call and we'll give you a clear estimate.
Let's Build

Ready to Deploy Your First AI Agent?

Tell us what you want to automate. We'll map it, build it, and get it running — fast.

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