You will get a workflow audit plus one AI automation your team can maintain
Project details
Most firms have AI access but no systems in place to use it programmatically. The gap isn't the tools — it's that teams may not know how to evaluate workflows and decide which are is worth automating first.
That's the gap this project fills. I spend a week inside your recurring work, find where the hours actually go, and tell you plainly which task AI should take over — and which ones it shouldn't. Then I build the one that matters and document it so your team can run it without me.
What's different here:
I'll tell you what not to automate. Most of what looks automatable isn't — the inputs are too messy, the cost of an error is too high, or it's a process problem wearing an AI costume. A real audit refuses work. Mine usually recommends one build out of five candidates.
You own everything. Prompts, config, documentation — in your accounts, on your infrastructure. No subscription from me, no dependency on me.
Your team can maintain it. Docs are written for whoever runs the workflow, not for an engineer. If you need me every time it changes, I built it wrong.
You don't need to know anything about AI. If you did, you wouldn't need the audit.
That's the gap this project fills. I spend a week inside your recurring work, find where the hours actually go, and tell you plainly which task AI should take over — and which ones it shouldn't. Then I build the one that matters and document it so your team can run it without me.
What's different here:
I'll tell you what not to automate. Most of what looks automatable isn't — the inputs are too messy, the cost of an error is too high, or it's a process problem wearing an AI costume. A real audit refuses work. Mine usually recommends one build out of five candidates.
You own everything. Prompts, config, documentation — in your accounts, on your infrastructure. No subscription from me, no dependency on me.
Your team can maintain it. Docs are written for whoever runs the workflow, not for an engineer. If you need me every time it changes, I built it wrong.
You don't need to know anything about AI. If you did, you wouldn't need the audit.
AI Development Type
Knowledge RepresentationAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,500
|
Advanced
$3,500
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | ||
Detailed Code Comments | - | ||
Knowledge Graph | - | ||
Model Documentation | - | - | |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$150 - $700Frequently asked questions
About Bryan
AI Workflow Automation & Agent Setup for SMBs | LLMs, MCP, RAG
Houston, United States - 2:34 pm local time
What differentiates me from other AI experts is that I bring both business and technical experience to the problem. I understand both sides of the equation: what the technology can do and whether implementing it actually makes business sense. I have an MBA and more than 20 years of experience in operations, finance, project management, and business improvement; this combines powerfully with my recent hands-on experience building AI workflows, integrations, and agent governance systems.
I pinpoint where AI can save clients time, increase sales, reduce repetitive work, improve quality, or enable workflows that weren’t practical before, then build automations that are reliable enough to use in the real world. Workflows must be repeatable, incorporate sensible safeguards and source control where appropriate, and be clearly documented so your team can actually use and maintain what gets built.
Core Service Offerings:
- AI-powered business workflows and automation using n8n, Make, APIs, and leading LLMs in areas including: proposal drafting, research, content, reporting, sales, and operations management
- Permission controls, tool-access policies, human review, governance, and practical guardrails for safer AI and agent execution
- Custom agent skills, tools, MCP integrations, and workflow logic
- RAG systems and internal knowledge bases using Google Drive, documents, databases, and structured data
- Customized Claude, ChatGPT, Gemini, and agent harness setups (such as OpenClaw, NanoClaw, and Hermes), as well as setups for using open weight LLMs on your own machine
- Clear documentation and training for your team
A typical first engagement is a small fixed-price sprint. We jointly identify one useful workflow, build a working automation, document it, and evaluate the results. If it creates meaningful value, we can expand from there.
Steps for completing your project
After purchasing the project, send requirements so Bryan can start the project.
Delivery time starts when Bryan receives requirements from you.
Bryan works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery call
A 45 minute video call with whoever actually does the work. I learn your systems and where the friction is.
Workflow audit
I inventory your recurring work, estimate where the hours go, and score each candidate on volume, input structure, error tolerance, and build effort.