How long does it take to build a custom AI agent?

Most focused AI agents take 2–4 weeks to build and deploy. More complex multi-agent systems or deep integrations with existing software may take 6–8 weeks. We scope the timeline precisely before starting.

Which AI models do you build with?

We build with OpenAI (GPT-4o), Anthropic Claude, Google Gemini, and open-source models depending on your requirements. For data-sensitive workloads, we can deploy models within your own cloud infrastructure so your data never leaves your environment.

Can you integrate AI agents with our existing software?

Yes. We integrate with CRMs (HubSpot, Salesforce), helpdesks (Intercom, Zendesk), databases, Slack, WhatsApp, email, and virtually any system with an API. We also build custom integrations for legacy systems.

Do we need to share sensitive data to build an AI agent?

No. For privacy-sensitive workloads, we build agents using retrieval-augmented generation (RAG) on your own infrastructure, or use models that offer data processing agreements. We can architect a solution that meets your compliance requirements.

AI Agents & Automation

Custom AI Agents Built for How Your Business Actually Works

Not a generic chatbot. A purpose-built AI agent trained on your data, integrated into your tools, and designed to automate the specific workflows slowing you down.

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The Problem

Generic AI Tools Don't Understand Your Business

Off-the-shelf AI tools are built for the average use case - not yours. They don't know your products, your tone, your processes, or your data. The result is agents that hallucinate, go off-script, or give answers that make your team look incompetent.

The businesses winning with AI right now aren't using generic tools. They have agents built specifically for their workflows - trained on their data, connected to their systems, and monitored for quality.

What We Build

AI Agents for Real Business Problems

Lead Qualification Agent

Qualifies inbound leads from your website or CRM, scores them against your ICP, and routes hot leads to sales instantly.

Customer Support Agent

Handles tier-1 support queries using your knowledge base - resolves common issues instantly, escalates edge cases to your team.

Document Processing Agent

Extracts, classifies, and processes data from PDFs, invoices, contracts, and forms - eliminating manual data entry.

Internal Knowledge Agent

Answers questions from your team using your internal docs, SOPs, and knowledge base - instant, accurate, no more digging through Notion.

Sales Outreach Agent

Personalises outbound messages at scale using prospect data - researches companies, drafts tailored emails, and logs activity in your CRM.

Workflow Orchestration Agent

Coordinates tasks across multiple tools - triggers actions in Slack, Notion, your database, or external APIs based on business events.

Have a specific use case in mind? Tell us what you're trying to automate →

What's Included

End-to-End AI Agent Development

🧠

Workflow Mapping

We map the exact process you want to automate - inputs, outputs, edge cases, and escalation paths - before building anything.

🔗

System Integration

We connect the agent to your existing tools - CRM, helpdesk, database, Slack, WhatsApp, email, or any system with an API.

📚

Knowledge Base & RAG

We train the agent on your data using Retrieval-Augmented Generation - your docs, FAQs, product info, and SOPs become its knowledge.

🛡️

Guardrails & Quality Control

We configure response guardrails so the agent stays on-topic, escalates appropriately, and never generates harmful or off-brand content.

📊

Monitoring Dashboard

A simple dashboard showing agent activity, resolution rates, escalations, and quality metrics so you can continuously improve.

🔒

Private Deployment Option

For data-sensitive workloads, we deploy within your own cloud infrastructure - your data never leaves your environment.

Technology

The Right Model for the Right Job

We're model-agnostic. We select the right foundation model for your use case - balancing capability, cost, latency, and data privacy requirements.

OpenAI GPT-4o

Anthropic Claude

Google Gemini

Open-Source LLMs

LangChain / LlamaIndex

Vector Databases

FAQ

Common Questions

What is a custom AI agent? +

A custom AI agent is a purpose-built system that handles a specific business task autonomously - qualifying leads, answering support queries, processing documents, or coordinating workflows. Unlike generic chatbots, custom agents are trained on your data and integrated into your existing tools.

How long does it take to build an AI agent? +

Most focused agents take 2–4 weeks to build and deploy. Complex multi-agent systems or deep integrations may take 6–8 weeks. We scope the timeline precisely before starting.

Which AI models do you work with? +

We build with OpenAI, Anthropic Claude, Google Gemini, and open-source models. We recommend the right model based on your requirements for capability, cost, latency, and data privacy.

Can the agent connect to our existing software? +

Yes. We integrate with CRMs, helpdesks, databases, Slack, WhatsApp, email, and virtually any system with an API. We also build custom integrations for legacy systems.

Is our data safe? +

Yes. For privacy-sensitive workloads, we can deploy agents within your own cloud infrastructure so your data never leaves your environment. We can also work under NDA before any data sharing.