Neville Ops — Cincinnati / NKY & Remote

Automation with a payback period.

CPA-built AI automation for small-business finance & ops. Every engagement starts with the math: hours saved, dollars returned, time to break even.

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89% of small businesses now use AI in some form
14% actually run on it — AI embedded in core operations

The distance between those two numbers is implementation — and implementation is a finance question: which hours, which dollars, which controls.

U.S. Chamber of Commerce small-business AI data, 2026

Start with a free automation audit

Thirty minutes on how your finance and ops work actually runs today. No pitch deck, no discovery-call theater — a working session with a CPA who has run these processes for 15 years.

Doing nothing has a price. A close that eats ten days a month is roughly $40–60k a year in salaried hours — before you count the decisions made late on stale numbers. The audit tells you your number.

What it is

A 30-minute walkthrough

We go through your close, reporting, AP/AR, and the recurring work your team does by hand. You talk, I take notes. That's the whole meeting.

What you get

A prioritized shortlist

Within a few business days: the automations worth building, each ranked by hours saved per month and estimated payback period. A finance document, not a sales document.

What it costs

Nothing

The audit is free and the shortlist is yours to keep — build it with me, build it with someone else, or build nothing. If automation isn't worth it for your business yet, the shortlist will say so.

The boring, expensive work

Finance and ops only — not IT, not generic "AI consulting." These are the workflows I've run myself and now automate for small and mid-sized businesses.

Month-end close

Checklists chased by email, accruals rebuilt from memory, a close that swallows the first two weeks of every month.

Close in days, not weeks.

Reconciliations

Bank recs, credit cards, intercompany tie-outs — hours of matching rows a person never needed to do by hand.

Hours of tie-outs become minutes of review.

Reporting & dashboards

The monthly package rebuilt by hand every cycle, screenshots pasted into slides, numbers that go stale before anyone reads them.

The board deck builds itself.

AP / AR

Invoices keyed in manually, approvals lost in inboxes, receivables nobody chases until cash gets tight.

Invoices coded, chased, and filed without a human in the loop.

Recurring data entry

The same numbers moved between the same systems every week, by someone you're paying to think.

Re-keying goes to zero; errors go with it.

Spreadsheet → workflow

The spreadsheet everyone's afraid to touch — one person understands it, and it breaks when they're out.

Tribal-knowledge spreadsheets become systems anyone can run.

Cash runway & scenarios

You're deciding on hires, prices, and contracts from a gut feel and a stale spreadsheet.

A live cash model with levers you can pull yourself — hire or don't, raise prices or don't — and see the runway move.

Ask your numbers anything

Every question about your own business turns into an hour of exports and pivot tables.

Plain-English answers from your real data, with the business rules encoded so the answers are actually right.

A finance operator, not an agency

I'm Rob Neville — CPA, ex-EY, 15 years in FP&A, most recently leading finance at a 250-person cybersecurity SaaS company: $100M+ raises, board reporting, close after close after close.

Then I started automating the work instead of doing it. The first process I automated saved a company $30k+ in its first year, and it became a commercial product. Neville Ops is that same work, done for your business.

Since then I've automated finance operations at enterprise scale: journal entries that match the accountant line-for-line, month-end pipelines with controls that block bad loads instead of hoping someone notices, a nine-figure book of business moved out of spreadsheets into systems that reconcile to zero.

Most AI shops are generalists or IT-focused. They can build an automation; they can't tell you which of your controls can't break, or which of your hours shouldn't exist. I also wrote the AI control framework for an audited, multi-entity company's finance function — human review on every published number, AI locked out of source data, zero tolerance on the numbers that must always tie. I don't just automate your books. I install the guardrails an auditor would ask for.

Where I work

QuickBooks NetSuite Excel / Google Sheets Claude / AI models Snowflake Looker Bill.com Ramp Your inbox

Audit to autopilot, in four steps

01

Audit

Thirty minutes, free. We map how the work runs today and where the hours actually go.

02

Roadmap

A prioritized shortlist of automations, each with hours saved per month and estimated payback. You pick what's worth building.

03

Build & integrate

I build inside the tools you already use — QuickBooks, NetSuite, Excel, email. No rip-and-replace, no new logins for your team.

04

Run & improve

A monthly retainer keeps every automation maintained, measured, and extended as your business changes. That's the engagement — ongoing, not one-and-done.

Measured in hours and dollars

17/17 Lines matched, first production run of an automated journal entry vs. the accountant's manual work
$0 Variance on a nine-figure book moved out of hand-kept spreadsheets Reconciles to zero · control-checked
$240k/yr Unused subscriptions surfaced in one vendor-spend audit Software spend · single pass
$30k+ First-year savings from the first process I ever automated Contract workflow · became a commercial product

"Client testimonial coming soon — early engagements are in progress and results will be published here, with numbers."

— Placeholder

"Ask me for a reference call in the meantime — I'd rather you talk to a real person than read a stock quote."

— Rob Neville, Neville Ops

Straight answers

What does "AI automation" actually mean for a business my size?

Software that does the repetitive parts of finance and ops work — reading invoices, matching transactions, drafting reports, sending reminders — with a person still reviewing what matters. No data scientists, no six-month IT project. Most of what I build runs inside the tools you already pay for.

How do you price?

A monthly retainer, sized to the scope of what's running. The roadmap from your audit shows the estimated payback for each automation before you commit to anything — if the math doesn't work, we don't build it. No hourly billing, no surprise invoices.

Is my financial data safe?

I'm a CPA — confidentiality and controls are the profession, not a policy page. I wrote the AI-in-finance control framework for an audited, multi-entity company, and your engagement runs on the same rules: AI never modifies source data, every number that reaches you is human-reviewed, and anything that touches an AI model is scoped to the minimum needed. I'll walk you through exactly what goes where before anything runs, and I'm happy to sign an NDA before the audit.

What tools do you work with?

QuickBooks, NetSuite, Excel and Google Sheets, Bill.com, Ramp, and the systems around them — plus email, since that's where half of ops actually lives. If your stack is different, the audit will tell us quickly whether it's a fit.

What if we're not ready for AI?

That's a valid outcome of the audit — and it's free, so it costs you thirty minutes to find out. If your processes need cleanup before automation makes sense, the shortlist will say that, and it will say what to fix first.

Start with the audit.

Thirty minutes, free, and you keep the roadmap either way. Greater Cincinnati and Northern Kentucky in person — anywhere remotely.

Book a free automation audit

I take on a small number of engagements at a time — that's what CPA-grade attention means. Replies within one business day.

Prefer email? rob.neville22@gmail.com · LinkedIn