Chasing Money Is a Part-Time Job Nobody Wants. We Automated Ours.

If you run a construction business, you already know the ugly truth about cash flow: the work is done, the invoice is out, and now somebody in your office spends hours every week sending “just following up” emails. It’s awkward, it’s inconsistent, and when that person gets busy, it just doesn’t happen. Then you’re floating payroll on a line of credit while a client sits on your money for 60 days.

We had the same problem. So we built a collections engine that runs every day without anyone touching it. This is the first of three implementation posts, proving Stage 3 on the roadmap.

What it actually does

Every day, the system looks at every open invoice and decides what should happen next. Not with a chatbot guessing. With rules we wrote, encoding how we actually want to treat clients:

• It knows which day of the delinquency cycle each invoice is on and picks the right message for that stage. Day 5 sounds different than day 45.
• It knows which clients are on payment plans and leaves them alone. Nothing torches a relationship faster than dunning a client who’s already worked out terms with you.
• It respects per-client permissions. Some clients get email reminders only. Others escalate to service holds. That’s a setting, not a judgment call someone makes at 4:55 on a Friday.
• Every action it takes gets logged as a note in our system of record, so when a client calls, whoever answers sees the full history.

The escalation ladder runs from friendly reminders through firm notices to flags a human reviews before anything serious happens. The human enters the loop exactly when a human should: when there’s a real conversation to have.

The numbers

Build cost: about $6,000 of engineering time, one time. Run cost: roughly $75/month.

Return, part one, labor: collections admin was eating about 10 hours a week across our office. At loaded cost, that’s roughly $1,600/month back, every month.

Return, part two, cash, and this is the one that matters for contractors: every day you cut from your average collection time frees up cash. The math is simple: for every $1M of annual billings, a 10-day improvement in days-sales-outstanding puts roughly $27,000 back in your operating account. Not as profit, as cash you’re no longer lending your clients interest-free. If you’re doing $5M a year and you’re floating a credit line at 9%, consistent follow-up isn’t a nicety. It’s real money.

The reason automation moves DSO isn’t magic. It’s consistency. Invoices get chased on day 5 every single time, not “when Karen gets to it.” Consistency is exactly what humans are bad at and software is perfect at.

How it’s built (the tease)

The stack is a workflow engine wired into our PSA and billing system through its API, with a deterministic decision layer we wrote ourselves. No AI improvising with your client relationships; the messaging templates, timing, and escalation rules are yours, executed perfectly. AI shows up where it’s useful, like drafting notes and summaries, not where it’s risky.

That decision layer is where the value lives, and it’s built from two decades of knowing how service businesses actually get paid. The tools are learnable. The judgment about when to nudge, when to escalate, and when to leave a good client alone is the product.

Want this without building it?

This is one of the catalog automations in our AI Managed Services program, adapted to your billing system, whether that’s QuickBooks, your ERP, or construction-specific software. Start with the AI Business Assessment; if slow-paying clients are your biggest cash drag, this is probably your first build. Early Access is open with limited spots per quarter.