Problem 01
The Zapier pile
Forty-seven zaps built over two years. Six of them still fire. Nobody remembers what the other forty-one were for — or which ones are quietly costing you money.
Seen this at your business? You're not alone.
Chapter 00 · Milo / Works · The Opening
Operate your business
10 years ahead.
Milo Works is the AI operations partner for ambitious service firms. We find where AI actually pays off in your business, architect the custom systems to capture it, and stay accountable for them still earning their keep years after launch.
- ROI-first — every engagement starts with the math
- Custom systems architected to your operations, not a template
- Managed and improved long after launch — the part most AI shops skip
Built alongside teams at
Qopia FinancialJSI SystemsLockstitch FinancialSunlife Financial+ others
Chapter 01 · The problem
Ninety days. That's how long the average AI project lasts.
Not because the tools fail. Because no one is watching them. Because no one owns them. Because the consultant who built them is already onto the next client.
Problem 02
The abandoned inbox
An AI agent was set up to triage the shared inbox. It worked for a month. Then it started hallucinating customer names. Nobody noticed until a client called to complain.
Seen this at your business? You're not alone.
Problem 03
The Notion graveyard
The consultant delivered the SOPs in a beautiful Notion workspace. Everybody has read-access. Nobody has write-access. The workspace hasn't been updated in seven months.
Seen this at your business? You're not alone.
These aren't edge cases. They're what happens when you buy automation instead of a system.
Sound familiar?
Let's see if the math works for your business.
Chapter 02 · The reframe
Automations get delivered.
Systems get owned.
The Milo System · Diagnose → Build → Operate → Optimize
Chapter 03 · The Milo System
A system that gets better every month you run it.
The Milo System is what you actually buy. Watch it compile — then click any stage to see what happens inside.
THE MILO SYSTEM · TAP TO EXPLORE
Map & measure
You'll know exactly which processes to automate, which to leave alone, and what the ROI looks like — before you spend anything.
Process mapROI modelGo/no-go
THEN →
Make it real
Fixed-fee, scoped from the diagnostic. AI agents and workflows built against your real data, documented so your team understands every piece.
AgentsWorkflowsDocs
THEN →
Watch it run
24/7 monitoring, on-call support, month-to-month. When something drifts, we catch it before your team notices.
MonitoringAlertsOn-call
THEN →
Compound it
Month 6 outperforms month 1. Quarterly reviews find new leverage. Each system makes the next one cheaper to build.
TuningExpansionReview
↻ MONTH 6 REVIEW → REDIAGNOSE
The loop compounds. Month 6 beats month 1.
FIG. 01 · THE MILO SYSTEM · INTERACTIVE
REV 3.1 · Q2 2026
Stage 01 · Map & measure
Diagnose
You'll know exactly which processes to automate, which to leave alone, and what the ROI looks like — before you spend anything.
What comes out
- ▸Process map
- ▸ROI model
- ▸Go/no-go
Click any stage to explore
Chapter 04 · The proof
These systems are still running. Here's the math behind them.
Four case studies from the operating businesses in our network. Each one is a system we built, measured, and still monitor. Numbers are verified by the client. Client-verified only.
Admin tasks eliminated
90%
QOPIA FINANCIAL · Wealth advisory · Canada
Client review cadence
Qopia was losing 20–40% of scheduled client touchpoints to admin drift — calendar chaos, manual note prep, post-meeting follow-up that fell through. The Milo System diagnosed the cadence, rebuilt the review loop as a monitored workflow, and handed Qopia the math on month one.
- BUILD TIME
- 3 weeks
- HOURS RECOVERED
- 10 hrs/wk
- MISSED TOUCHPOINTS
- -20–40%
Dispute handling reduced
70%
JSI SYSTEMS · Manufacturing · North America
Email dispute agent
JSI's ops team was spending days on inbound supplier disputes — logging, categorizing, routing. We built an inbox agent that triages disputes at ingest, pulls context from their ERP, and routes with recommended action. Direct cost recovery in month one.
- SYSTEM
- Inbox triage agent
- INTEGRATION
- ERP + Slack
- OUTCOME
- Direct recovery
Content throughput
3×
LOCKSTITCH FINANCIAL · Wealth advisory · Canada
Content automation
Lockstitch had a content bottleneck — compliance-reviewed client letters, market updates, and internal briefs. We built an assisted writing pipeline with compliance rules baked in. Output tripled; time per piece cut in half.
- THROUGHPUT
- 3×
- TIME PER PIECE
- -50%
- COMPLIANCE
- Pre-checked
Revenue closed · month 1
$133K
DIGITAL MARKETING AGENCY · Marketing operations · North America
CRM centralization agent
The agency's CRM was perpetually out of date — Fireflies transcripts, email signals, Calendly bookings, and dozens of other triggers scattered across tools with no single source of truth. We built automations to centralize everything, then layered an agent on top to keep the CRM current and follow up on stale deals. $133K in revenue closed in the first month because nothing fell through the cracks anymore.
- REVENUE CLOSED
- $133K
- SIGNALS CENTRALIZED
- Fireflies · Email · Calendly
- PAYBACK
- Month 1
Client names published with permission where noted. All metrics verified by the client's own finance or ops team before publication. Where a number couldn't be verified, we don't publish it — that's the rule.
Want this for your ops?
Every system starts with a diagnostic.
You might be thinking
“How do I know this won't be another failed AI project?”
Because we calculate ROI before we build, and we kill projects when the math doesn't work. We've walked away from engagements. That's the filter.
“I found someone cheaper on Upwork.”
Good — if the job is a simple workflow, hire them. When it breaks in 90 days and nobody's monitoring it, call us. We build systems, not one-off automations.
“We're thinking of hiring someone internally.”
If you have 40+ hours a week of automation work, you should. Want us to run the numbers with you? Sometimes hiring is the right call, and we'll tell you.
“What if the automation breaks after you're done?”
It won't be 'after we're done.' We operate month-to-month. 24/7 monitoring, alerts, on-call. Month 6 performance beats month 1 because we keep tuning.
Chapter 05 · The math
What would this save your business?
Same math we use in the diagnostic. Plug in your real numbers and see if automation clears the bar.
01 · Your numbers
hrs / week
$USD / hour
months
METHODOLOGY · Savings = hours × cost × 52 weeks. Build fee and operate costs vary by project — the diagnostic gives you real numbers. Payback assumes typical engagement. This is an estimate, not a quote.
Model multiple processes in the comprehensive analysis02 · What the math says
You've already lost
18 months × 22 hrs/wk × $65/hr
$111,454
Year-one recoverable value
Recovered hours × blended cost × 52 weeks
$74,360
Estimated payback period
Typical build fee ÷ monthly savings
1.5 mo
FTE equivalent avoided
Hours / 40h work week
0.55
Chapter 06 · The close
The AI automation industry has a model problem: build it, hand it off, move on. We kept seeing the same result — good tools, no one watching them, broken in ninety days.
We built Milo to fix that. Stay after the build. Monitor it. Tune it. Only take projects where the math clears six months. That's cost us deals — but nothing we've built has been abandoned.
The Milo Works team
Book a free diagnostic
30 minutes. Your processes, our math, a straight answer.
You walk away with a process map, the ROI math, and a clear recommendation — yours to keep regardless.
- Process map of your highest-leverage ops
- ROI calculation with observed data
- Clear recommendation: build, hire, or wait
Typically booked within 48 hours
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