AI Systems · Accounting

Give your first week of the month back to a month-end close agent you can audit.

I build custom AI month-end close agents for solo accountants, bookkeepers, and fractional CFOs. Not SaaS. Not a chatbot. A private agent built around one real client workflow: pulling reports, tying out numbers, drafting the close pack, and citing every figure back to its source. You review and approve everything. My current client reports 12 to 15 hours a month back. The bar for building yours: 10+ hours a month and a 5 to 10x return in time, money, or both.

How a close assembles · every figure cited
Proof, Not Promises01

We audited it the way you’d audit a junior accountant

A solo accounting professional was closing monthly books for a three-location cannabis retail group, one of the messier reporting environments you can inherit: multiple stores, POS exports, close packs, and manual dashboards.

I built a private close agent that pulled directly from the point of sale and produced the close pack she had been building by hand. Before it replaced anything, we ran it in parallel with the manual close. Four validation rounds. 468 metrics checked line by line against the already-closed dashboards.

The agent matched the close. And when it didn’t, the disagreements traced back to manual workbook errors: a summary cell that did not reconcile to its own file, and the wrong store’s file pasted into a finished dashboard. The agent caught both.

That is the point. The agent is not magic. It is disciplined. Every number has a source. Unverified numbers get flagged. Nothing goes to the client without approval.

Metrics validated line by line468
Validation rounds before sign-off4
Locations in the close3
Manual workbook errors caught2
Hours back per month, client-reported12–15

Validation finding: reliable enough to replace the manual export process, with monthly checks. Client details kept private, as yours would be.

“Probably at least 15 hours a month so far is what I think I’m saving. I’ll say, yeah, 12 to 15, probably.”

The client, asked what the agent saves her · August 2026
What You Get02

A private month-end close agent built around your process

Infrastructure

Private, dedicated infrastructure

Your agent is built in an isolated environment for your workflow. Not a shared SaaS dashboard or a browser chat tab; your client’s data stays inside a dedicated, controlled environment.

Access

Read-only connections

Direct connections to the systems your client already uses. The agent can pull; it can never change a record.

Citations

Every figure cited

Each number carries its source file and cell, or is explicitly flagged unverified. Fabricated numbers aren’t a risk we accept; they’re against the agent’s rules.

Approval

You sign off on everything

A hard human-in-the-loop gate: no report, email, or message goes to your client without your approval. You stay the professional of record.

Audit Trail

A permanent audit trail

Each close leaves behind a record of what was pulled, when, from which source, and what still needed human review. Not just automation: a repeatable close file.

Schedule

Month-end snapshots captured on time

The agent is built to preserve the reports and balances that are hard or impossible to recreate later, so month-end never depends on someone remembering.

How It Works03
1

Fit call, free

We pick one client and one workflow, usually the monthly close. If an agent isn’t the right tool for your practice, I’ll tell you no on this call.

2

Discovery session, $2,500

We design the exact solution for your practice and build the return case. The target: 10+ hours back every month and a return of 5 to 10 times your investment, in money, time, or both. The fee is credited in full toward your build. If I can’t design a solution that clears that bar, I refund it.

3

Build and parallel run

I stand up your agent, wire the read-only integrations, and encode your reporting rules. Then it closes the month alongside you while we validate its output against yours, line by line.

4

Handoff, with receipts

You get a working agent and a written validation report. From then on: it drafts, you review and approve. Monthly checks keep it honest.

Accuracy and Security04

The two questions that actually matter

Will the numbers be right?

The agent operates under hard rules, not good intentions: every figure cites its source file and cell or gets flagged unverified, and a number without a source does not exist. Before you rely on it, it earns trust your way: it closes the month in parallel while your current process keeps running, and you compare line by line.

You set the pace. Keep pulling reports the manual way until you’re comfortable, review a full month side by side, then switch when the validation says you can. Monthly checks continue after handoff, and every close leaves an audit trail of what was pulled, from where, and when.

Is the data safe?

The agent’s infrastructure is firewalled from the public internet entirely: it is reachable only over a private, encrypted network. There is no public login page, because there is no public anything.

API keys are treated like the front-door keys they are: read-only, installed once, stored encrypted, never sent over email. Customer PII is stripped before anything is written to disk, only the aggregates the close needs are stored, and nothing is sent to your client without your explicit approval.

Fair Questions05

How much time should this save?

My current client reports 12 to 15 hours a month back. If we can’t design a credible path to 10+ hours back per month or a 5 to 10x return, we shouldn’t build it. That is the point of the discovery session.

Will it make up numbers?

No number is allowed through without a source citation or an unverified flag, and the parallel-run validation exists to prove it. In four rounds of testing, every disagreement traced back to a manual workbook error, not the agent.

Is my client’s data safe?

Read-only keys, stored encrypted on dedicated infrastructure, with customer PII stripped before anything is written to disk. In the build above, the agent handles less sensitive data than the manual exports did.

Is this only for cannabis accounting?

No. Cannabis was the stress test; month-end close pain exists across accounting practices. The offer is for anyone with repeatable monthly close work.

Do I need a big firm for this to make sense?

No. This is strongest for solo operators and small practices where the owner is still doing too much export, tie-out, and reporting work by hand.

Does this replace me?

No. It replaces the repetitive export, tie-out, and first-draft work. You still review, decide, and sign off, and the agent is built so it can’t work without you.

Straight Talk

One client. One close. Validated line by line.

If we can’t design a month-end close agent that saves you 10+ hours a month or creates a clear 5 to 10x return, I’ll tell you no and refund the discovery fee. That is the standard.

Book a Fit Call06

Pick a time that works

Twenty minutes. You tell me how your first week of the month goes; I’ll tell you honestly whether an agent would change it.