Most companies are investing in AI. Few are getting the value.
The gap between AI deployment and AI returns is now well documented across the largest studies of the last two years. Even among large enterprises, the picture is consistent.
The Real Gap
Most AI programs stall at execution.
Most teams now have an AI strategy but stall turning it into working results. Research puts the difficulty overwhelmingly in people and process.
That's our lane. We work as AI operations advisors, and the deliverable is a written diagnosis with numbers in it. Where the hours go, what they cost, and what to do about it in the next 90 days.
CONSULTING CASE STUDIES
What the audit found at two owner-led businesses.
Case Study 01
Residential Real Estate
Owner-led luxury residential brokerage, about 10 to 15 people
Case Study 02
Field and Home Services
Residential AV, lighting and shade integrator, about 10 people
Most of the week still runs on manual work.
Too much of the work is still manual: client emails, intake, quoting, invoicing, payroll, scheduling. Most of it is owned by one or two people who can't take a vacation without something breaking.
Client & customer communication
Inboxes as the system of record. The same six questions answered a hundred times a week.
Intake, triage & dispatch
Requests and tickets that route by memory, not by rule.
Quoting & estimating
Prices pulled from spreadsheets, past invoices and the estimator's judgment. Over and over.
Technician scheduling
Whiteboards, sticky notes, and one dispatcher who cannot get sick.
Invoicing & month-end
Month-end weeks that consume the back office and delay everything downstream.
Service reporting & renewals
Reports and renewal notices assembled by hand, from three systems that don't talk.
Five deliverables. One quantified opportunity list.
01
Operations process map
A clear picture of how work flows today across your highest-volume tasks, and where time and handoffs pile up. Built from interviews and from watching the work happen.
02
AI opportunity assessment
A prioritized list of where AI can help most, matched to your team’s real workflows. Every candidate ranked by impact and effort.
03
ROI estimate
Quantified hours and dollars each opportunity can recover. The assumptions are written down so you can argue with them.
04
90-day implementation roadmap
What to do first, what to sequence next, and what to leave alone, with owners, success criteria, and where a vetted implementation partner could plug in.
05
What we'd tell you NOT to do
A named list of things we recommend against automating, and why. Half the value of an audit is what it tells you to skip. Some engagements end with “fix your existing systems before you add anything new.
We ran companies before we advised them.
We've run companies
Decades of running a software company end to end, including 25 years leading a 350-person software company that held Department of Defense contracts. We have sat on the other side of this review.
We ran this on ourselves first
We put AI into our own customer success, sales and marketing operations before offering it to anyone else. Our own team had to live with the results.
Advisory-first, disclosed relationships
We deliver the diagnosis. We don't do the build. Any product or partner relationship is disclosed in writing before we recommend it. No relationship is required for you to accept our advice.
