AI Automation Developer for Business Workflows
I am an AI automation developer who builds AI into the workflows businesses actually run on — automating repetitive processes, wiring up AI agents that touch real systems, and shipping internal tools that take the toil out of operations. I work as a single principal with 25 years in computer science, U.S. Army veteran, Texas-based. I build CRM and workflow automation, AI agents for back-office tasks, and the operator dashboards that make those automations safe to run in production.
Who I help
Operations leaders whose teams spend half their week clicking through CRMs, copying data between SaaS tools, and re-typing the same answers into ticketing systems. Founders running a 5–50 person company who need an internal AI tool that fits their workflow, not a generic SaaS product. Department heads who have tried Zapier and hit the ceiling — the workflow now needs LLM judgment, not just rule-based routing.
Services I offer
- AI agent development. Tool-using agents that touch real systems (CRM, billing, scheduling, email) with structured outputs, human-in-the-loop checkpoints, and audit trails.
- CRM and workflow automation. HubSpot, Pipedrive, Salesforce, and Zoho automations that go beyond rules — LLM-classified intent, AI-drafted replies, summarization of long threads, lead enrichment.
- Internal AI tools. Custom dashboards where staff feed in a document, an email thread, or a meeting transcript and get back the structured output they need to act on.
- Document automation pipelines. PDFs, invoices, contracts, scanned forms in — structured data and downstream system updates out.
- OpenAI, Anthropic, and self-hosted integrations. Whichever provider fits the budget and compliance posture. I will tell you honestly which one the workflow needs.
Benefits
- Hours back per week per employee. The honest measurement: how many staff hours per week does the automation save once it is live? That is the number I optimize.
- One owner, one accountable engineer. No agency hand-offs, no offshore subcontractors. The engineer in the scoping call is the engineer writing the code.
- You own the workflow. Source code, configuration, deployment story handed over at the end of the engagement. Replaceable, not vendor-locked.
- Production-ready, not demo-ware. Monitoring, logging, error handling, and a rollback plan ship with the automation, not after.
Related technologies
Laravel 13 + Livewire 4 for the operator dashboards. PHP 8.4 for the backend orchestration. OpenAI and Anthropic APIs for the LLM layer when SaaS providers fit; self-hosted Llama / Mistral via Ollama or vLLM when they do not. PostgreSQL or MariaDB for the workflow state. Queues for the long-running work. Pest 4 for the test suite that proves the automation works before it ships.
How it differs from "Custom AI Automation Developer"
This page is the broader entry — AI automation for businesses that need automation, regardless of whether the answer is a third-party API or a self-hosted model. The custom AI automation developer page is the more specific shape: buyers who have crossed $20K/month in per-token fees, or have a compliance posture that rules out third-party APIs, and need a self-hosted, build-not-wrap answer. Both pages link to each other; the scoping call is the same in either case.
How long does an AI automation project take?
Most projects deliver a first working automation in 2–6 weeks, depending on integration complexity. A single-CRM AI-drafted-reply pipeline is on the short end. A multi-system agent that touches CRM + billing + scheduling with human-in-the-loop review is on the long end. The scoping call produces a written timeline before anything is signed.
Do you build AI agents or only chatbots?
I build agents — tool-using LLM workflows that touch real systems with structured outputs, retries, and audit trails. Chatbots are a special case (an agent whose only tool is "respond to the user"). The interesting business value is usually in the agents.
Can you integrate AI with our CRM?
Yes. HubSpot, Pipedrive, Salesforce, Zoho, Close, and Copper are the most common ones I have worked with. The pattern is the same: webhook in, LLM classification / drafting / summarization, structured update back to the CRM via API, audit log written for compliance.
Will my data be sent to OpenAI?
Only if you want it to be. Most engagements offer a choice: OpenAI / Anthropic when the workflow is non-sensitive and the SaaS providers fit your compliance posture; self-hosted Llama / Mistral via Ollama or vLLM when the data must stay inside your network. I will say honestly which one your specific workflow needs.
Do you ship the automation with monitoring and tests?
Yes. Monitoring, structured logging, error handling, rollback paths, and a Pest 4 test suite for the orchestration layer ship with every automation. The difference between a demo and a production automation is the operating story; that story is part of the engagement, not a follow-up project.
Custom AI Automation Developer
The build-not-wrap specific variant for buyers with $20K+/month wrapper bills or strict compliance posture.
AI Developer for Hire
Custom LLM systems, RAG, fine-tuning, agent workflows.
API Integration Services
The connective tissue every AI automation needs.
Custom Software Development
Business systems and internal platforms that often need an automation layer.
Scope This Engagement
Single principal, plan first, working code on every checkpoint.
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