AI Agent Development

Build Custom AI Agents
That Actually Work

We design, develop, and deploy AI agents tailored to your business — faster than hiring, better than templates.

The Basics

What is AI agent development?

An AI agent is a software system that perceives information, makes decisions, and takes action — autonomously, with minimal human input.

👀

Perceive

Reads emails, tickets, documents, APIs, and databases to understand the current situation.

🧠

Decide

Reasons through the context using an LLM and your business rules to choose the right next step.

Act

Sends the email, updates the record, books the meeting, or escalates — without waiting for a human.

That's the key difference from a basic chatbot: a chatbot responds to messages. An AI agent takes action — it can read your inbox and book a meeting, scan a support queue and resolve a ticket, or pull data from five different tools and produce a finished report. Common examples include scheduling agents that coordinate calendars across time zones, sales outreach agents that research and contact leads, data processing agents that turn messy spreadsheets into clean records, and support agents that triage and resolve customer issues around the clock.

What We Build

AI agents for every part of your business

From internal automation to customer-facing experiences, we build agents that fit your stack and your goals.

🔄

Autonomous Workflow Agents

Automate multi-step internal processes — approvals, reporting, onboarding, and handoffs — without a human babysitting every step.

📈

AI Sales & Outreach Agents

Research leads, enrich contact data, draft personalized outreach, and follow up automatically until a prospect replies.

🎧

Customer Support Agents

Resolve common tickets instantly, gather context for complex issues, and escalate to humans only when it truly matters.

🗂️

Data Processing Agents

Extract, clean, transform, and act on structured and unstructured data — invoices, contracts, emails, spreadsheets, and more.

📚

RAG-Powered Knowledge Agents

Answer questions accurately by retrieving from your internal documents, wikis, and databases — grounded, not hallucinated.

🔌

Custom LLM Integrations

Connect OpenAI, Anthropic Claude, or open-source models directly into your product, CRM, or internal tools.

Have a workflow you wish ran itself?

Tell us about it on a free 30-minute call — we'll tell you honestly whether an AI agent is the right fit.

Our Process

How we build AI agents

A disciplined six-step process that takes you from idea to a production agent you can trust.

1

Discovery & Requirements

We map your workflow, data sources, systems, and success metrics before writing a line of code.

2

Architecture Design

We choose the right approach — LangChain, LangGraph, CrewAI, or a custom framework — based on your use case.

3

Development & Integration

We build the agent, connect it to your APIs and tools, and test it against real edge cases.

4

QA & Safety Testing

Guardrails, fallback handling, and accuracy testing ensure the agent behaves predictably under pressure.

5

Deployment & Monitoring

We launch to production with logging, observability, and alerting so you always know what your agent is doing.

6

Iteration

We refine prompts, tools, and logic based on real usage data — agents get smarter the longer we work together.

Example Use Case

From 20 hours a week to 20 minutes

A 15-person SaaS startup was spending 20+ hours a week researching leads, drafting outreach emails, and manually logging activity in their CRM.

~20 hrs

of manual research and outreach automated per week

more qualified leads contacted per week

100%

of activity automatically logged in the CRM

An AI Sales & Outreach Agent now researches each lead, drafts a personalized first message, schedules follow-ups, and logs every touchpoint in HubSpot — automatically. The sales team only steps in once a prospect replies.

Who This Is For

Built for teams ready to move

Whether you're shipping AI as a feature or automating internal operations, we've built for teams like yours.

🚀

SaaS Startups

Adding AI-powered features to differentiate your product and unlock new pricing tiers.

⚙️

Funded Startups

Automating internal operations — support, finance, ops — to extend runway without extra headcount.

🏢

SMBs

Replacing manual, repetitive workflows that quietly eat hours every single week.

🏛️

Enterprise Teams

Piloting AI agents in a contained scope before committing to a full organization-wide rollout.

Lambrix vs In-House

Why startups choose Lambrix over hiring

Building an in-house AI team takes months and carries real hiring risk. We get you shipping in days.

Factor Lambrix In-House Hire
Time to Start Days 3–6 months
AI Expertise Senior team, on day one Varies, hard to assess
Cost Predictable project cost Salary + benefits + tools
Scalability On-demand, scale up or down Fixed headcount
Risk Low — we own delivery High — hiring & ramp-up risk
Tech Stack

Technologies we use

We're not locked into one vendor or framework — we choose what's right for your use case.

LLM Providers

OpenAI Anthropic Claude Mistral Llama

Frameworks

LangChain LangGraph CrewAI AutoGen

Vector Databases

Pinecone Weaviate pgvector

Deployment

AWS GCP Azure Vercel
FAQ

Frequently asked questions

How long does it take to build an AI agent?

A focused, single-purpose agent (e.g. a support or outreach agent) typically takes 3–6 weeks from kickoff to production. More complex, multi-agent systems with deep integrations can take 8–12 weeks. We scope timelines precisely during discovery.

How much does AI agent development cost?

Costs vary based on complexity, integrations, and ongoing model usage — but most startup engagements range from a focused pilot project to a multi-month build. We provide a fixed estimate after a discovery call, so there are no surprises.

Can you integrate with our existing tools?

Yes. We regularly connect agents to CRMs (HubSpot, Salesforce), support platforms (Zendesk, Intercom), internal databases, Slack, email providers, and custom internal APIs. If it has an API or webhook, we can connect to it.

Do you offer ongoing maintenance?

Yes. AI agents need monitoring, prompt tuning, and occasional retraining as your business and underlying models evolve. We offer monthly support retainers that include monitoring, updates, and iteration based on real usage data.

Ready to build your first AI agent?

Schedule a free 30-minute discovery call. We'll map out exactly what's possible for your use case.