Real builds.
Real outcomes.
See exactly what we build for owners like you, and what it returns.
Every build on this page started as one of these sentences.
The builds. Pain, rig, outcome.
Each one starts with a pain the owner named, then what we automated, trained, or transformed to fix it, a look under the hood, and the number that changed. If you’ve ever called yourself the chief everything officer, you’ll recognize these. Real owners, real numbers.
One repetitive task, forty hours a week
The same manual process was eating an entire team’s week, every week.
What we installed
We mapped their highest-volume repetitive workflow, wired an AI agent into the systems that feed it, and put a human QA gate on the output.
- Workflow mapped end to end before any AI touched it
- The agent runs the task on a schedule, not on willpower
- Team reviews and approves instead of typing
- Scales with volume without adding headcount
Under the hood
“The first repetitive task the AI Coworker took off our plate saved the company a minimum of 40 hours a week already. Absolutely incredible.”
CMO · 9-figure training services co. · under NDA
Raw calls in, client engine out
Content, follow-ups, and the books were all running on the owner’s late nights.
What we installed
An AI agent that turns recorded coaching calls into a client acquisition engine, keeps the follow-up moving, and watches the finances while the owner sleeps.
- Coaching calls become content and follow-up, automatically
- QuickBooks audited for leaks and errors
- Finances, content, and outreach run on one system
- Production-ready, not a demo that dies in a week
Under the hood
“It audited my QuickBooks for an immediate $2,000 win. I’ve reclaimed 10+ hours of my week with a system that finally handles my content, follow-ups, and finances while I sleep.”
Kevin R. · Real estate investor & entrepreneur
A team that stopped being afraid of AI
Everyone knew they should be using AI. Almost nobody actually was.
What we ran
A hands-on workshop built around their real work, not generic demos. Every person left with a playbook for their own role and reps on their own tasks.
- Role-by-role: sales, ops, admin, marketing
- Live reps on real tasks during the session
- Playbooks the team keeps and reuses
- Follow-up so the habit sticks past week one
The curriculum rig
“The workshop was really eye opening for me. I feel motivated and empowered to learn more about AI with less fear.”
Ken · workshop attendeeThe receipts, in their words.
Their expertise in AI & automation has been invaluable to our business. They’re always ahead of the curve when it comes to anticipating trends and developing really innovative strategies that leverage various AI and automation tools to their fullest potential. Their forward-thinking approach and ability to combine AI and automation are like rocket fuel for any business, and we really can’t recommend them highly enough.
Before the AI Coworker, I was grinding through 3 hours of manual analysis every single day. Now the system runs on autopilot & evaluates the data, tracks my positions, and delivers recommendations before I’ve finished my coffee.
Alex set up my entire infrastructure in 30 minutes. Now I’ve got a system that knows my services, my customers, and how I operate. I went from overwhelmed to operational in one sitting.
Real numbers. No names.
Details are anonymized on purpose: we don't publish clients' data, including in case studies. Every result below is real, and we're happy to walk through any of them on a call.
The follow-up system that was delivering nothing
A lead flow of roughly 1,200 to 1,500 leads a month had a hidden problem: people were entering the follow-up system and nothing was going out. 144 people in, zero messages delivered. We used AI to trace the rules deciding who got messages, found the block, and documented the exact fix. The next report: 879 of 886 emails delivered.
→ What an AI Opportunity Assessment findsMore clicks, less money
AI analysis of past campaigns surfaced a counterintuitive pattern: the message style earning about 22% more clicks was producing 67% less revenue. It attracted attention from the wrong buyers. We validated it with a live test across roughly 64,000 subscribers, and the same thing happened: the clickable version won on clicks again and still produced no more revenue. If the team had judged by clicks, they would have scaled the loser.
→ Assessment + ongoing analysis, judged by buyers, not clicksSimpler follow-up, stronger bookings
An important follow-up sequence was barely producing booked calls: 21 generic emails, heavy branching, too many places to get stuck. We went deeper than cleanup. AI analyzed the business's customer data, built out the real buyer avatars, and simulated each avatar moving through the existing sequence to find where every type of buyer stalled or got the wrong message. Then we rebuilt it as segmented, personalized paths: 6 targeted emails instead of 21. Attributed call bookings rose more than 10x.
→ Quick Win Setup / Automation BuildPressure-tested the launch before customers felt it
Before a new offer went live, AI walked 11 real customer scenarios through the planned setup: early buyers, late buyers, repeat buyers, people qualifying for two paths at once. It flagged where customers would get duplicate messages and where the team was quietly signing up for manual cleanup work, and the launch plan shrank from two automations to one simpler flow. The result was a launch that didn't create support tickets, confusion, or exceptions someone had to babysit.
→ Automation Build + Business Brain MaintenanceYears of buried customer data became a sales playbook
The business was sitting on years of gold: call transcripts, applications, intake forms, CRM records. Nobody had time to read it all. We used AI as a research department: 11 independent AI analysts worked through 177 top customers, nearly 200 recorded calls, and more than 12,000 applications to map why people bought, what they said in their own words, and which customer types needed different messaging. Then we blind-tested it: predictions made from a single sales call, for 18 brand-new customers the research had never seen, checked against what actually happened over the following months. The test validated 31 distinct buying signals the sales team could listen for, and the strongest ones proved right 90 to 100% of the time. The team walked away with sales conversation guides, messaging rules, and customer profiles built from what buyers actually say.
→ Business Brain SetupMeetings stopped leaking decisions
A team was running fast across calls, chat threads, and shifting priorities with a dozen people involved. Decisions kept living in someone's memory. We used AI to process every call and update into decisions, action items with owners, open questions, and clean handoff docs, with sensitive details automatically separated and protected. New work started from the record instead of from scratch, and "wait, what did we decide?" stopped being a meeting agenda item.
→ Managed AI Coworker Sprint- Found the real onboarding bottleneck. Connected customer files, CRM records, and meeting history into one timeline and showed where time was actually being lost, by stage and by team member.
- Made the marketing numbers trustworthy. Separated "who received the campaign" from "who engaged" from "who actually took action because of it," so the owner stopped over-crediting campaigns.
- Traced 592 leads through the sales process. Followed them from campaign to booked call to closed client, separating real campaign results from wishful attribution.
- Built a content engine that checks itself. Drafts get reviewed from multiple customer perspectives before sending; it killed one article for being too close to something the audience had already received.
- Caught a risky sentence before it reached customers. A review pass flagged wording in an email that could have put a reader in an unsafe spot, and fixed it before send.
See the assessment behind the builds.
Every build on this page starts the same way: we tear the business down to its workflows and find exactly where AI pays off. We put a full sample assessment online, the same document we hand every client, so you can see the depth before you ever book a call.
Look inside a sample assessmentWant a build like this on your wall?
Wherever you sit between “AI is the devil” and “I just don’t know where to start,” book a free, no-pressure AI assessment call. We’ll map where AI actually pays off in your business, even if the honest answer is “not yet.”
Book a free AI assessment call