Custom AI Agents for Your Business

Your team is answering the same questions, qualifying the same leads, and replying to the same emails every single day. I build custom AI agents for business that handle the repetitive work 24/7 so your team can focus on revenue.

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Tasks Your Team Should Not Be Doing Manually

If you have a VA, an EA, or someone on the team whose main job is responding to the same enquiries over and over, you already know the problem. They get tired, they have bad days, and they are not available at 2am.

Customer enquiries go unanswered after hours

Your prospects do not stop asking questions at 5pm. But your team does. Every unanswered enquiry is a lead that goes cold, a customer who gets frustrated, or a booking that goes to a competitor who happened to reply first.

Phone calls pile up and appointments get missed

Someone on your team is spending hours every week answering the same phone calls, booking appointments, and relaying information that already exists in your systems. When they are busy, calls go to voicemail. When they are off sick, nobody answers.

Leads go cold while you are asleep

A prospect in a different time zone replies to your outreach at 3am. By the time your team sees it at 9am, the moment has passed. Harvard Business Review research shows responding within five minutes makes a lead 21 times more likely to convert than waiting 30 minutes.

The same repetitive work, every single day

Classifying leads, processing documents, pulling data from one system and entering it into another. Tasks that require someone to look at something, make a judgement, and take action. But the same kind of judgement, hundreds of times a day. Your team could be closing deals instead.

What Is an AI Agent?

An AI agent is software that can read context, reason about it, and take action. Not follow a script. Not run the same steps every time. An agent assesses the situation and decides what to do next.

If you have used a chatbot before, you know the limitations. It follows a decision tree: if the user says X, respond with Y. The moment someone asks something unexpected, it breaks. An AI agent is different. Less gimmicky, more purposeful, with a clear knowledge base built around your business.

Automation

Does what you tell it

AI Agent

Decides what to do next

The line between AI agents and bespoke automation matters. I build both. Automation follows a fixed workflow: when X happens, do Y. An agent reads the situation, checks a knowledge base, and chooses the right action. If you set up an automation to route every incoming email to the support inbox, that is automation. If you build a system that reads the email, works out what the person wants, writes a tailored response, and steers toward a meeting, that is an agent.

Most businesses need a mix of both. Automations for the predictable, repeatable stuff. Agents for the tasks that require judgement. If you want to understand more about how AI fits into business operations, I wrote about it in my post on AI automation for B2B.

AI Agent Examples I Have Built

These are the types of agents I build. Not theoretical capabilities. Real systems running in real businesses, handling real work.

AI Receptionist and Voice Agent

An AI voice agent that answers phone calls, handles enquiries, and books appointments in your brand voice. Built with Vapi and ElevenLabs for natural sounding speech, backed by a RAG knowledge base so it actually knows your business. It does not get flustered, it does not forget to follow up, and it works at 2am on a Sunday.

Cold Email Autoreply Agent

When a prospect replies to a cold email campaign, this agent reads the full email chain, checks the company knowledge base, matches tone of voice, and writes a human sounding response that steers toward a booked meeting. Always replies in under five minutes. Harvard Business Review research shows responding within the first minute boosts lead conversions by 391%.

Lead Classification Agent

Give it a list of 10,000 leads and it classifies each one by industry, company type, and fit for your business. Work that takes a person a full day runs in under an hour. I use this every week to process leads before they go into outreach campaigns.

Customer Service Agent

Handles customer enquiries via email or chat, 24 hours a day. It checks your knowledge base, responds in your brand voice, and escalates to a human when something falls outside its scope. No emotion, no bad days, always friendly.

Document and Data Processing Agent

Reads documents, extracts the relevant data, summarises it, and routes it to the right system. Replaces manual data entry and document review. I have built agents that process everything from proposal responses to lead enrichment reports.

Multi Agent Systems

Sometimes one model is not enough. I build systems where multiple AI models review each other's work. Think of it as a round table of expertise. Claude writes the output, OpenAI runs a blind review, and any blind spots get caught before a human sees it.

AI Agents for Small Business

AI agents are not for everyone. Here is how to tell if this is the right move for your business.

This is a good fit if...

  • You have 1 to 50 people and a product, team, or service that works
  • Your team is drowning in repetitive tasks that eat their time
  • You want 24/7 coverage without hiring a night shift
  • You have clear processes that could be handled by someone with access to your knowledge base
  • You are ready to invest in the future of your operations

Probably not the right service if...

  • You do not have a clear process to hand off yet
  • You want magic overnight with no setup work
  • Your company has an 18 month procurement cycle
  • You are not willing to invest time in building a proper knowledge base
  • You need to validate whether your business model works first

AI Agent Development: How It Works

Four steps. The first two are where most of the real work happens.

01
Discovery

You book a call. I look at your business, your team, your repetitive tasks, and where an agent would have the most impact. Not every task needs an agent. Some are better solved with simple automation. I will tell you which is which.

02
Knowledge base build

This is where most DIY attempts fall apart. I interview your team, map your workflows, document your processes, and build the knowledge base that the agent will use to make decisions. Without a solid knowledge base, an agent is just an expensive chatbot.

03
Agent development

I build the agent using Claude Code and test it against real scenarios from your business. Not demo data. Real enquiries, real leads, real documents. The agent needs to handle the messy edge cases, not just the textbook ones.

04
Testing and handover

You test the agent in your environment. I train your team on how to monitor it and make adjustments. The agent is yours. The knowledge base is yours. Everything runs in your accounts.

Three Ways to Work Together

Every business is at a different stage. Some need a roadmap before committing. Others are ready to build. Pick the option that matches where you are.

Option 1

Agent Audit

I assess your business, identify where AI agents would have the most impact, and deliver a prioritised roadmap with cost estimates.

  • Business process review
  • Agent opportunity mapping
  • Knowledge base assessment
  • Prioritised implementation roadmap
  • Timeline and cost estimates

Best for: Businesses that want to understand their options before committing.

Option 2

Custom Agent Build

I build the agent end to end. Knowledge base, development, testing, integration with your existing tools, and full handover to your team.

  • Everything in the audit
  • Full knowledge base development
  • Agent development and testing
  • Integration with existing tools
  • Training and handover

Best for: Businesses ready to build and launch.

Option 3

Ongoing Management

Monthly retainer for keeping your agents sharp. I monitor performance, update the knowledge base, build new agents as your needs evolve, and handle anything that breaks.

  • Monthly performance monitoring
  • Knowledge base updates
  • New agent development
  • Priority support
  • Quarterly strategy reviews

Best for: Businesses that want their agent ecosystem to keep growing. See my pricing page for general guidance.

Built on Claude Code

I build AI agents on the Claude ecosystem. Here is the stack.

Core AI

Claude Code, Anthropic Claude API, Claude Agent SDK. This is where every agent starts. Claude Code runs on my machine, not in a browser. It reads my files, understands my system, and executes code directly. The Agent SDK handles multi step reasoning and tool orchestration.

Voice

Vapi for voice infrastructure, ElevenLabs for voice synthesis. When a phone agent needs to sound human, these two handle it. The voice matches your brand, and the knowledge base means the agent actually knows what it is talking about.

Knowledge

Custom RAG systems and company knowledge bases. Every agent I build is grounded in your actual business data, not generic training data. The knowledge base is the difference between an agent that helps and one that makes things up.

Orchestration

n8n and Make for connecting agents to your existing tools. Agents do not exist in isolation. They need to trigger workflows, update CRMs, send notifications, and talk to your other systems.

Quality assurance

OpenAI API for multi model blind reviews. I do not trust one model to get everything right. If Claude writes the output, OpenAI reviews it independently. If there are any blind spots in one model, the other picks them up.

You do not need third party agent frameworks. Claude Code can do everything. Anthropic recently consolidated the ecosystem, including Claude Code Channels for messaging your agents from Telegram or Discord, Claude in Chrome for browser automation, and Cowork for desktop app integration. It is all one platform, and it is the most powerful toolchain available for building business AI agents.

Why Work with a Specialist?

Three reasons.

Multi model reviews catch blind spots

I do not trust one model to get everything right. Every agent I build gets reviewed by a second AI model independently. Claude does the work. OpenAI runs a blind review. Think of it as a round table of expertise where they can check each other's reasoning.

Agents that improve over time

My agents are not set and forget. They include feedback loops that make them better over time. The knowledge base grows, edge cases get handled, and the output gets sharper the longer the agent runs.

Knowledge base expertise is the hidden iceberg

Most people underestimate the knowledge base work. They think building an agent is the hard part. It is not. Getting the knowledge base right is where 80% of the effort goes, and it is where most DIY attempts crash. Three months of figuring it out yourself versus two weeks with someone who has done it before.

What Clients Say

"From our very first conversation, it was clear that he is an expert in his field. He took the time to thoroughly understand our business, the use case, and the specific data we needed, as well as the reasoning behind it. Throughout the project, Josh consistently suggested the best way forward. Even when we overlooked something, he was already a step ahead, ensuring nothing was missed. His professionalism, attention to detail, and ability to communicate complex ideas in a way that empowers the business to make future adjustments independently are truly invaluable. Finding someone you can trust with projects of this nature, who not only delivers exceptional results but also makes the process clear and collaborative, is rare."
Xen, Wonderwork Digital

Frequently Asked Questions

What is an AI agent?

An AI agent is software that can read context, reason about it, and take action without being told exactly what to do at every step. Unlike a simple automation that follows a fixed script, an agent assesses the situation and decides what to do next. For example, an AI receptionist agent can understand a caller's question, check a knowledge base, decide the best answer, and book an appointment, all without human involvement.

How do AI agents work?

An AI agent works in three layers. First, it has a knowledge base containing everything it needs to know about your business, products, and processes. Second, it has an orchestration layer that tells it how to approach tasks step by step. Third, it has an execution layer that carries out actions like sending emails, updating records, or booking meetings. The language model in the middle reasons about what to do, but the steps and outputs are controlled so you get consistent, reliable results.

What is the difference between an AI agent and a chatbot?

A chatbot follows a decision tree. If the user says X, respond with Y. An AI agent reads the full context of a conversation, checks a knowledge base, and decides how to respond. It is less gimmicky, more purposeful, and backed by real company knowledge. A chatbot breaks when someone asks something off script. An agent handles the unexpected because it can reason about the answer.

What is the difference between an AI agent and automation?

Automation does what you tell it. You set up a workflow: when X happens, do Y. It follows the same steps every time. An AI agent decides what to do next based on the situation. If an email comes in, automation might always route it to the same inbox. An agent reads the email, works out what the person wants, checks a knowledge base, writes a tailored response, and steers toward a meeting. Both have their place. I build both, and I can help you work out which one you actually need. If you are looking for deterministic workflows, take a look at my bespoke automation service.

Can an AI agent handle customer service for my business?

Yes. AI agents can handle customer enquiries via email, chat, or phone 24 hours a day with no emotion, no bad days, and no gaps in coverage. They check your knowledge base for the right answer, respond in your brand voice, and escalate to a human when something falls outside their scope. The people who were handling those enquiries manually can then focus on higher leverage work like closing deals or serving existing customers.

What types of AI agents can you build?

I build AI receptionists and voice agents, cold email autoreply agents, lead classification and scoring agents, customer service agents for email and chat, document and data processing agents, and multi agent systems where multiple AI models review each other's work. If you have a repetitive task that requires reading context and making a decision, there is probably an agent for it.

How much does a custom AI agent cost?

It depends on the complexity. A single agent that handles one task is a smaller project than a multi agent system that classifies leads, generates personalised responses, and books meetings. I offer three engagement models: a scoping session where I assess your business and recommend where agents would have the most impact, a fixed price build where I develop the agent end to end, and ongoing monthly management. Book a discovery call and I will give you an honest estimate based on what you actually need. For general guidance, see my pricing page.

How long does it take to build an AI agent?

A straightforward single purpose agent typically takes two to three weeks including the knowledge base setup. More complex multi agent systems take four to six weeks. The biggest variable is the knowledge base. If your business processes are already well documented, it goes faster. If I need to build the knowledge base from scratch by interviewing your team and mapping your workflows, it takes longer. That knowledge base work is where most DIY attempts stall out.

Is my data safe with an AI agent?

Yes. I use API connections rather than sending your data to public AI tools. The knowledge base is private to your business. I never train external models on your data. For sensitive industries, I can implement additional safeguards like data minimisation and access logging. On a discovery call, I will walk you through exactly how data flows through the system so you know where everything goes.

Ready to Put AI Agents to Work?

Book a call. I will look at your business, your repetitive tasks, and tell you straight whether an AI agent is the right solution. If it is not, I will point you toward something that is.

Book a Discovery Call