When your accounts receivable clock is broken, you don’t just lose
time — you lose money. Every week that an invoice sits uncollected,
every project that gets logged but never billed, every client
conversation that slips through the cracks: it compounds. For growing
professional services firms, cash flow gaps aren’t just inconvenient —
they’re existential.
One mid-size professional services firm learned this the hard way.
After years of managing receivables with spreadsheets, follow-up
reminders, and sheer willpower, they were sitting on millions in
outstanding invoices — and losing track of revenue they had already
earned.
Then they brought in SDTEK’s MaiSP.
The
Problem: $6.3 Million in Receivables, No Visibility
Before working with SDTEK, this firm’s finance team was fighting a
losing battle. Their client portfolio spanned dozens of ongoing
relationships, each with different billing cycles, contract terms, and
payment expectations. Invoices were sent out regularly — but follow-up
was inconsistent, reporting was siloed, and leadership had no real-time
picture of what was actually collectible.
The symptoms were familiar to any professional services operator:
- 262 outstanding invoices across the active client
base, many 30–60 days past due - 37 active projects that had been completed but
never formally billed — revenue that existed on paper but never appeared
in collections - $98,000 in cost overruns that had been absorbed by
the firm rather than flagged, approved, or passed to clients - A finance team spending 15+ hours per week on manual follow-up —
time that could have been spent on strategic work
The firm wasn’t broken. But they were leaving money on the table
every single month.
The Approach: AI
That Works in the Background
The SDTEK team deployed MaiSP — an AI employee designed to run inside
the firm’s existing tools and workflows, without requiring a process
overhaul or a multi-month implementation.
The goal wasn’t to replace the finance team. It was to give them a
tireless, always-on layer of intelligence that could:
- Monitor every open invoice and flag aging accounts
before they became problems - Track project milestones and alert the team when
work was done but billing hadn’t been initiated - Surface cost overruns in real time, so they could
be addressed before they were absorbed - Follow up automatically with clients based on
contract terms and payment history - Generate weekly cash flow reports so leadership
always knew where they stood
The implementation took 18 days. No new software to
learn. No consultant coming in to interview staff. MaiSP connected to
the firm’s existing systems, learned their workflows, and started
producing.
The
Results: Clarity in 18 Days, Revenue Recovered in Weeks
Here’s what changed:
$6.3M in receivables — now actively monitored,
reported on, and managed with clear aging buckets and follow-up
cadences.
262 invoices processed through the new system, with
aging reports that gave the finance team immediate clarity on what was
collectible and what needed escalation.
37 previously unbilled projects — identified,
categorized, and routed into the billing workflow. That’s $98K in
recovered revenue that would have otherwise sat invisible in the
pipeline.
$98K in cost overruns — flagged as they occurred,
not discovered at the end of the quarter. Finance could address them in
real time: discuss with the client, get approval, and invoice before the
moment passed.
15+ hours per week — reclaimed by the finance team.
Manual follow-up emails became automated. Spreadsheet reconciliation
became reporting dashboards. The team went from reactive to
proactive.
What “AI Employee”
Actually Means in Practice
The firm had heard the term “AI-powered accounts receivable” before.
Most solutions they’d seen were either basic automation tools (send
reminders, track due dates) or heavyweight ERP implementations that
required months of configuration and a six-figure price tag.
MaiSP was different. It worked inside the tools the team already
used. It learned their specific client patterns, billing terms, and
escalation preferences. And it scaled as the firm scaled — without
requiring a new implementation every time they added a client or
expanded a contract.
The finance director put it simply: “We didn’t have to change how
we work. The AI changed what our work actually produced.”
The
Lesson: Cash Flow Problems Are Information Problems
This firm’s receivables crisis wasn’t caused by bad clients or
difficult contracts. It was caused by information gaps — invoices that
fell through the cracks, projects that were done but not billed, cost
overruns that were absorbed rather than addressed.
MaiSP closed those gaps. Not by automating the finance team out of
existence, but by giving them the visibility they needed to do their
jobs better.
If your team is spending more time tracking down information than
acting on it — whether you’re a business, nonprofit, or professional
services firm — that’s the problem worth solving.
Ready to see what Maven could find in your receivables
workflow?
Maven is SDTEK’s AI employee for business operations, available to
businesses and nonprofits nationwide. If receivables, follow-up,
reporting, intake, approvals, or repetitive admin work is slowing your
team down, start with a no-obligation workflow review: we’ll map your
current process, identify where manual follow-up or disconnected systems
are creating blind spots, and show where you could start recovering time
and cash flow — usually in under 30 minutes of discussion.
MaiSP is available to businesses and nonprofits nationwide.
SDTEK’s traditional managed IT services primarily focus on Fort Wayne,
IN and San Diego, CA, while MaiSP can be delivered remotely anywhere
your workflows, systems, and team are located.