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We fix things with AI.

We're two operators who build AI that does real work inside real businesses — the reporting, the customer conversations, the busywork that eats your team's week. Below are ten things we've actually shipped. If one of them looks like your problem, email us.

See the ten ↓ [email protected]

No pitch deck, no discovery-call gauntlet. Just work we can show you.

The work · 10 real cases

Things we've built that run every day

Each of these is live inside a real company right now. Client names withheld or shared on a call — the numbers are exact.

1Reporting

The morning scorecard that assembles itself

The problem

A wellness e-commerce brand started every day copying numbers out of six tabs — store, ads, refunds, bookings — and still argued about which number was right.

What we built

A nightly pipeline that pulls every source into one warehouse and publishes a single daily scorecard: sales, ad spend, refunds netted out, consults booked. Nobody assembles anything. It's just there at 7am.

16+ scattered reports became one screen, fed by 12+ live sources.

illustrative

Daily scorecard · auto-published 7:00a

$18.4kSales

212Units

$2.1kAd spend

2Customer-facing AI

A sales agent that actually knows the catalog

The problem

A B2B retailer's support team answered the same thirty compatibility questions all day — "will this work with my phone system?" — while buyers who couldn't wait simply left.

What we built

An AI agent living in the storefront that answers from the live product catalog — asking the questions a good salesperson would ask — and hands off cleanly to a human the moment it should.

Answers from real product data, measured after launch on deflection and what it got wrong.

illustrative

VisitorNeed wireless headsets that work with our Yealink phones — which ones?

AgentThree models fit Yealink out of the box. How many desks, and is the office open-plan? That changes my pick.

Visitor12 desks, open plan.

AgentThen noise-canceling mics matter — here's the one I'd start with, and I can loop in a human for volume pricing.

3Market intel

A price watcher across the whole market

The problem

An industrial distributor priced thousands of SKUs against competitors who changed prices silently. Checking by hand happened never.

What we built

A scheduled scraper that walks competitor sites on its own, with ten validation gates so a broken page can never poison the data, and screenshot evidence saved for every price it reports. The pricing team opens a dashboard, not forty tabs.

Every reported price carries its own evidence capture — trust built in, not assumed.

illustrative

Competitor sweep · last run 4:30a

7100 Series · rollrival −8%

Safety-Walk 24"we win

Bond 847 · caseno change

Grip tape · bulkrival −3%

Edge trim 50ftwe win

4Operations

A CRM rebuilt around how the team actually works

The problem

Orders lived in one system, fulfillment in another, and the team lived in spreadsheets between them. Nothing agreed with anything.

What we built

One CRM holding 10,000+ unified orders, with a ship-queue the warehouse runs from, address editing that syncs back to the carrier, and label printing built in. The spreadsheets retired themselves.

10,000+ orders unified · the whole team runs on one live screen.

illustrative

Ship queue · today

#21391 · 2 itemslabel printed

#21392 · 1 itemlabel printed

#21393 · 3 itemsaddress fix

#21394 · 1 itemqueued

5Sales pipeline

A lead funnel that books itself

The problem

Prospects filled out a pre-consult survey… that went to an inbox. No follow-up, no booking, no idea how many leads converted.

What we built

Survey answers flow straight into the CRM, the prospect lands on the calendar in the same motion, and the coach walks into every consult with the answers in front of them. For the first time, the close rate is a number.

518 surveys → 471 consults → measured close rate, visible weekly.

illustrative

Consult funnel

Survey answeredgoals, budget, timeline captured

CRM record createdno human copy-paste

Consult bookedcalendar offered instantly

✓

Coach briefedanswers on screen at call time

6Paid media

One honest number for ad spend

The problem

The ad dashboards said things were great. The bank account disagreed. Every platform graded its own homework.

What we built

A profit-per-order floor computed from real margin — one ruler every campaign is measured against, with a day-one tripwire when a campaign dips under it. Spend decisions stopped being debates.

One profit floor replaced four competing "results" dashboards.

illustrative

Profit per order · by campaign

THE FLOOR

7Command center

The whole business on one screen

The problem

A dozen automated jobs, four companies' worth of work, and the owner's only view was "hope someone mentions it if something breaks."

What we built

A mission-control screen: per-company worklists, the status of every automated job, and a "needs you" feed that stays silent unless a human decision is actually required. Two check-ins a day, not forty.

Silent unless something needs a human — attention is the scarce resource.

illustrative

Needs you · 3 items

Approve refund over limit2m

Price change awaiting GO1h

Weekly numbers ready3h

All 14 jobs ran cleanauto

8Self-serve tools

A product editor the client team runs themselves

The problem

Every catalog change — a spec, a filter, a description across 3,000+ products — was a developer ticket with a two-week fuse.

What we built

An embedded editor inside their own store admin: search, stack filters, bulk-edit, apply. The team ships their own catalog changes now, and the dev queue lost its longest line.

3,000+ products, edited in-house, zero tickets.

illustrative

Bulk edit · 47 products selected

☑ 7100-BLK · anti-slip rollupdated

☑ 7100-YLW · anti-slip rollupdated

☑ 7150-GRY · tread 6"updated

☑ 44 more…applying

9Marketplaces

The Amazon console that replaced an agency

The problem

A brand paid an agency to manage Amazon and still couldn't answer basic questions about their own account, listings, or ad spend.

What we built

An eight-module operating console — sales, ads, listings, inventory, reclassification — wired to Amazon's own APIs. One in-house operator now runs the whole account, agency retired.

8 modules · one operator · one less agency invoice.

illustrative

Console · this week

+12%Amazon sales

4.2xAd ROAS

3Low stock

10Executive AI

An AI chief of staff for a CEO who will never open a terminal

The problem

A CEO wanted a personal AI assistant that just works — on his phone, every day — with no setup, no maintenance, and no patience for either.

What we built

A hardened, always-on assistant on dedicated infrastructure: hourly self-checks that re-apply their own fixes, and a one-message rollback for every feature. Running continuously since February 2026.

Six months of unbroken uptime for a user who never sees the machinery.

illustrative

CEO · 6:12awhat's on deck today?

Assistant3 meetings, the board deck draft is ready for you, and your 2pm asked to move — want me to offer 4pm?

CEOyes. and remind me about the lease thing thursday

AssistantDone and done.

Who we are

Two operators, one team

We've each spent decades running the thing — not advising on it from outside. You get both of us; the problem decides who leads.

Chris Bentley

AI & Digital Operations

14+ years scaling e-commerce as a VP and P&L owner. Chris builds the systems on this page — the dashboards, the agents, the automations — and makes them boring enough to trust: monitored, verified, and owned after launch.

→ LinkedIn

Rick Mills

Finance & Operations

Rick makes the numbers trustworthy — close cadence, forecasting, and reporting owners actually rely on — and pairs it with the operating discipline that keeps growth from outrunning the business.

→ LinkedIn

"The rare combination is knowing what the technology can do and what the business actually needs. That overlap is where we live."

How it works

Simple on purpose

Tell us what hurts

One email. Describe the problem in the words you'd use complaining about it — that's usually the most accurate spec we get.

We show you the fix

A short call, then a concrete proposal: what we'd build, what it changes, what it costs. Often we've built something close before — you get that head start.

You own what we build

We price the outcome, not the hour. Every system we build runs in your accounts, on your infrastructure, and stays yours.

Got something that needs fixing?

Tell us what's broken, slow, or eating your team's week. If we can help, we'll say how. If we can't, we'll say that too.

[email protected]

One inbox · both of us read it · replies from a human