Modern Code Consulting

AI agents and AI workflows

AI agent development services that work on your real business data

Most AI agent demos look great until they meet real data. They answer from nothing, sound confident when they are wrong and have no way to hand off to a person.

My AI agent development services start from the opposite end. I wire the agent into the systems you already run, give it only the material you approve, and pair its judgment with plain code for anything that has to be exact. When it is unsure, it hands off to a human.

Book a free 15-minute call

Who hires an AI automation consultant like me

I am not an AI agent development company with a bench of developers. I am one engineer, which suits these situations.

You get more inbound than you can read

Emails, form fills and replies pile up. An agent can read every one, sort the real leads from the noise and alert a person about the ones worth a call.

Your team answers the same questions all day

An internal assistant that answers from your own documents and processes, and says it does not know when the answer is not there.

You tried an AI tool and it did not stick

Off-the-shelf tools rarely fit your data or your process. A custom AI agent for your business is built around both.

You want AI automation, not an AI experiment

You care about hours saved and leads answered. I scope every agent against a number you can check.

AI agents and AI workflow automation I build

Some of these are agents that decide what to do next. Most are AI steps inside a workflow, which is usually the more reliable choice.

  • Lead qualification and reply handling

    Every inbound reply gets classified, the interested ones go into the CRM pipeline and a person gets an alert within a minute. I run this on my own outreach.

  • Voice and chat agents

    Agents that answer calls or chats, qualify the lead and book or hand off, connected to your calendar and CRM.

  • Internal assistants

    An assistant your team can ask about your processes, clients or data, answering only from material you approve.

  • Data cleanup and personalization at scale

    Parallel AI workers that clean names, fill gaps and write a line per row, with code doing the exact merging and checks afterwards.

  • Review and analysis agents

    Agents that read a batch of replies, tickets or calls and report patterns back to a person, without changing anything live on their own.

How I keep AI agents from going off the rails

The rule I build by: AI makes judgment calls, code does the exact work. An agent can decide whether a reply is interested. A script moves the record, writes the file and checks the result.

Every agent I ship has a clear handoff point to a person, logs what it decided and why, and is tested against real examples from your business before it goes live. Before I worked with small businesses I spent ten years as a software engineer, and that habit of testing against real data comes straight from there.

How a project runs

Same four steps for every build. You talk to me the whole way through, not an account manager.

  1. 01

    A 15-minute call

    You tell me where the hours and the leads are leaking. I ask enough questions to know what to build first.

  2. 02

    A proposal with the build already started

    A diagram of where the agent sits in your process, what it can and cannot do, and a working run on sample data from your business.

  3. 03

    One price, anchored to ROI

    A fixed price per project, set against what the system makes or saves you. No hourly billing, no retainer you did not ask for.

  4. 04

    Build, test, hand over

    I build it, test it against your real data and hand it over with documentation and a recorded walkthrough.

Questions about AI agents

Have a process an AI agent could take off your plate?

Book a free 15-minute call. Tell me what your team spends the day reading and answering, and I'll tell you what an agent could handle and what should stay with a person.

Book a free automation audit