Real outcomes from AI deployment
These are not projections. These are businesses that were running on spreadsheets and hope — until they weren't.
Our own operation — 32 agents
Before we sell this to anyone, we run it ourselves. This business is operated by scheduled agents that never sleep and never forget a deadline — and every number below is measured from our own logs, not modelled.
What it would take by hand
- Two mailboxes read several times a day, every day
- Every deadline tracked in somebody's head or a spreadsheet
- Documents, invoices and notifications filed one at a time
- A town, state or bank reply noticed whenever someone checks
What actually happens
- Both inboxes read on a schedule, replies drafted, nothing sent without approval
- Deadlines, renewals and payment dates on one board, recalculated daily
- Every document read for the field that matters — including the due date on the notice, not the date it was mailed
- Nothing sits unseen for days
Measured, and it caught real money: a management report that had been waiting 44 days was closed the day the missing files landed, and a payment we had been tracking as "overdue" for 18 days turned out to be due on the day it was paid — the date on the envelope was the mailing date, not the due date.
Commercial broker — the twenty-hour listing
A commercial broker in Hartford County keeps one number for getting a single listing to market: the preparation. Photographs, comps, dimensions, zoning, the write-up, and the same facts typed into three portals that each want them in a different order. His estimate was twenty hours. We modelled his own task list top to bottom and got 19.25 — within 5% of his own figure, arrived at independently.
MODELED means the arithmetic came from his numbers, not a benchmark. The ~15 hours that go are the ones with no decision in them: retyping, reformatting and filing. The four that stay are the ones only the broker can do — positioning, pricing judgment, the client relationship. Client anonymised at his request; method and the full task list available on request.
County property records — no API, no problem
Most county property records are public and hostile to automation: a search box, one parcel at a time, no data feed and no plan for one. We built a routine that drives the site the way a person does — search, wait, read, record — and timed it on real parcels in three states.
Ownership, assessment, appraisal and last sale — the fields an underwriting decision needs — returning in about twenty seconds a parcel, with every figure re-checked against the source page. One parcel is a demo. A hundred, the night before a meeting, is a different week.
We audited ourselves first
Buyers increasingly ask an assistant for a recommendation instead of scrolling ten search results. So we ran our own version of that test on ourselves — and we were missing, for reasons we could fix.
What the audit found
- Our own site was telling AI crawlers to stay out
- A page still published a contact address retired months earlier
- Claimed results with no case study published behind them
What we changed
- Crawler permissions opened for the assistants people actually use
- Contact details corrected at the source
- This page — so every claim now has a number and a method under it
We publish the self-audit because a report that only ever finds problems in the client's business isn't a report — it's a pitch. The same ten-point audit is what you get, free, on the audit page.
Property Manager — 200 Units
A property management firm came to us with a problem that didn't sound like a technology problem. Their portfolio was growing — great. But operations were drowning the team.
Before
- Tenant screening: 3 full days per month
- Maintenance tracked in shared spreadsheets — nobody updated consistently
- Renewal offers went out late — someone manually checked lease dates quarterly
- Good people doing good work, drowning in process
After 4 Weeks
- Screening: applications flow through background, credit, scoring — human reviews final only
- Maintenance: tenants submit → auto-assign by trade → status flows back automatically
- Renewals: trigger 90 days out based on actual dates. No spreadsheet. No forgetting.
"Same team. Same portfolio. Radically different operation. They didn't hire anyone new — they just stopped using their best people as human copy-paste machines."
Commercial Services Business — Team of 18
A service business running on spreadsheets and hope. The owner spent 60% of his week on operational triage instead of business development.
Before
- Invoicing: 3 people, 2 full days every month — manual entry from paper timesheets
- Client onboarding: 14 steps, 4 different people touching each file
- Owner: 60% of week on "where are we on the Johnson job?" questions
- Job profitability: unknown until 45 days after completion
After 60 Days
- Invoicing: 4 hours, one person — automated from digital timesheets
- Onboarding: 4 steps, one person — automated handoffs and status tracking
- Owner: under 20% on ops — back to business development and client relationships
- Profitability: dashboard updates in real time — margin known by day 3
Nothing about the business changed except how information moves through it. They didn't buy AI — they bought operational clarity. The technology is just how we built it.
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