I design, build, and deploy custom AI agents for mid-market operations — agents that answer order-status calls, chase receivables, check dispatch paperwork, and write the reports someone still assembles by hand. Wired into the systems you already run, deployed on your infrastructure, owned by you. Every engagement starts with the $4,500 operations audit: one week to find the bottleneck worth automating — and if it doesn't surface savings worth more than its cost, you don't pay.
Charlotte, NC + remote · Fixed-scope builds · Everything shipped is yours
An agent isn't a chat window. It's software that reads your systems, takes the actions you've permitted, and logs what it did. When I build AI agents for a business, this is what ships — and what it's wired to.
An agent wired to your order system, carrier feeds, and the shared inbox. It answers “where's order 4417?” in seconds, with sources — and your team stops paying a person to be the lookup layer.
Wired to: Order system · carrier APIs · email
An agent that reads the aging report in your accounting system, drafts follow-ups in your language, logs every touch in the CRM, and flags the accounts that need a human call. Collections stop depending on someone remembering.
Wired to: Accounting · CRM · email
An agent that runs the morning check before the trucks roll — today's tickets against POs, paperwork, and crew availability. Exceptions get flagged at 6am, not discovered at the job site.
Wired to: Ticketing · PO system · scheduling
The Friday ops report, generated from the systems of record on schedule — same numbers every time, zero re-keying. Your ops lead reviews it instead of assembling it.
Wired to: ERP/WMS · spreadsheets · email or Slack
Under the hood, agents reach your systems through MCP servers — permissioned bridges built on the APIs you already have. You decide per system what an agent can read, what it can write, and what's off-limits. How agents reach your systems →
No science projects. An agent gets built when the audit has measured the leak it closes — and priced the build against it.
One week, $4,500, fixed. We map where time, money, or people are leaking and rank every possible build by ROI. Not "AI strategy" — the specific workflow, with numbers on it.
I map out what the agent does, which systems it touches, what it's allowed to read and write, and what done looks like — before a line of code gets written.
Fixed scope, from $45,000, with the audit fee credited. Working software deployed on your infrastructure — permissions set, actions logged. Not a prototype.
Docs, training, and context your team can own. The goal isn't dependency — it's an agent your people can run and build on.
Step one stands on its own: if the audit doesn't surface savings worth more than its cost, you don't pay — and you keep the roadmap either way. How the operations audit works →
A backlog of builds instead of one? That's the fractional AI partner — from $8,500 a month, month to month, shipping from a ranked queue.
For a mid-market reverse logistics-tech company, I built the MCP server and agent tooling their internal teams use every day — Python on Google Cloud, wired into live inventory and truckload workflows, supporting 50+ internal users.
Before that: 14 field and back-office applications for a multi-brand field-services group — the finance automation alone recovered 18 hours of weekly team capacity. And custom Python and JavaScript tooling for trading operations at a top-five U.S. bank — it gave the executives ~30% better visibility into live trade data.
I've seen where agents pay for themselves and where they're overkill. You get that judgment before you get an invoice.
Every engagement starts with the $4,500 operations audit — fixed price, one week, money-back if it doesn't surface savings worth more than its cost, and credited toward your first build. Agent builds are fixed-scope sprints from $45,000, sized by the audit's roadmap. Ongoing build partnerships run from $8,500/month, month to month.
The audit runs one week from kickoff to roadmap handoff. First agents typically ship in weeks, not quarters, because each build targets a single measured bottleneck. You see working software before you commit to more.
That's the point. Agents connect to what you already run — CRM, ERP, accounting, even the spreadsheet workflows — usually through MCP servers built on your systems' existing APIs. Nothing gets ripped out, and you set per system what an agent can read and write.
You own everything: code, infrastructure, and documentation. Your team gets trained on operating the agent, and support is available without being mandatory. Nothing is held hostage to a retainer.
A chatbot answers questions; an agent does work. It reads your real systems, takes actions you've permitted — update a record, draft a follow-up, flag an exception — and logs what it did. If the AI can't touch the system of record, it's a chatbot.
Start with the audit: one week, $4,500, and you get a roadmap that ranks every build by ROI — the fee credited toward your first agent. If it doesn't surface savings worth more than its cost, you don't pay.
Or read how the operations audit works →
Related services: MCP server development — the permissioned bridges agents use to reach your systems.
Workflow automation — for the processes that need reliable pipes, not judgment calls.