OutreachGenius

OutreachGenius AI voice agent platform for home services, franchise brands and call centers

At OutreachGenius, we help home service companies and franchise brands unlock outrageous revenue using AI voice agents that answer instantly, route intelligently, and book appointments automatically - so no real opportunity is missed.

Is it legal for AI to call your customers? 🤷🏾♂️That’s the wrong question to ask. The better one is: should AI call this ...
06/04/2026

Is it legal for AI to call your customers? 🤷🏾♂️

That’s the wrong question to ask. The better one is: should AI call this customer? 👇🏾

Every week I hear this question from home service franchise brands worried about how to use AI while staying compliant with TCPA, FCC, DNC and CAN-SPAM rules

After managing a few million AI voice calls at OutreachGenius, we’ve learned a thing or two:

AI voice isn’t automatically good or bad, the risk comes from one mistake: treating every contact in your CRM the same

A homeowner who requested an estimate 12 days ago is not the same as someone who filled out a form 14 months ago and never spoke to anyone

A customer who got an estimate is not the same as a cold lead who barely remembers your brand

Same CRM, but completely different calls

✌🏾 That’s why segmentation is the name of the game before AI starts dialling

We sort leads into 3 buckets

1️⃣ Under 90 days: Usually the cleanest group, they reached out recently, so the call ties to an active request

2️⃣ 90 days to 12 months: Depends on the relationship, did they just fill out a form, or did they actually get an estimate? Not the same thing

3️⃣ 12+ months: Here you slow down, and get permission first via email or direct mail - then AI voice can reach out

What the AI agent says matters just as much as who it calls

The safest campaigns don’t start with “Are you ready to book?” or “We have openings this week”

They start with a status check:

“Are you still considering the project, has it already been done, or should we close this out?”

That shifts the tone from sales blasting to cleaning up old demand and verifying intent 🤝🏾

For a brand with hundreds of locations, that’s the fine line between a revenue recovery system and a compliance headache

The franchise brands winning with AI are not just making the most calls, they’re making the right calls, to the right people, for the right reasons, with the right guardrails

Comment “REVIVE” and I’ll send the white paper with the full segmentation framework we use for franchise brands including con

If I were starting an AI voice company today, I wouldn’t build another generic voice agent. Here’s what I’d build instea...
06/03/2026

If I were starting an AI voice company today, I wouldn’t build another generic voice agent. Here’s what I’d build instead: 👇🏾

First, what I wouldn’t touch: the voice model layer

That layer is already crowded with well-funded labs, infrastructure companies, teams full of world-class researchers

You’re not going to out-research them ⛔

The bigger opportunity is somewhere else: vertical workflows

🧠 The best AI voice companies won’t be “voice agent companies”. They’ll be vertical operating systems where voice is the front door

Which means the moat was never just “how natural does the voice sound”, that still matters

But the real moat is:

✔️ Do you understand the workflow?
✔️ Can you integrate into the systems of record?
✔️ Can you handle compliance?
✔️ Can you route edge cases?
✔️ Can you turn conversations into actions with measurable ROI?

That’s where the real companies get built

A few examples of verticals:

1️⃣ Healthcare patient access:

Not just appointment scheduling. Think pre-visit intake, referral follow-up, prescription refill calls, no-show recovery and post-discharge follow up workflows

2️⃣ Insurance:

Not just answering calls. Think first notice of loss, policy renewal, quote follow-up, claim status updates, payment reminders, document collection and broker support

3️⃣ Recruiting:

Not just candidates screening. Think availability confirmation, interview scheduling, re-engaging old candidates, structured phone screens, and credentials verification

4️⃣ Real estate:

Not just leasing calls. Think maintenance triage, rent collection reminders, showing coordination, tenant screening and emergency maintenance dispatch

The voice is the easy part; the workflow underneath is the company!

Generic voice agents get commoditized, vertical workflow ownership doesn’t

That’s why at OutreachGenius we’ve stayed focused on serving home services franchise brands

Voice is the interface, but the real product is the revenue recovery system behind it

So if you’re building with AI voice, I’d spend less time asking, “What voice model or stack should we use?”

And more time asking: “what workflow can we own better than anyone else?”

Last week, I analyzed the last 22,000 calls our AI agents made for home service franchise brands, and the  # 1 objection...
06/01/2026

Last week, I analyzed the last 22,000 calls our AI agents made for home service franchise brands, and the # 1 objection surprised me 🤯

It wasn’t price, it wasn’t “not interested”, it was: “I already booked someone”

14% of every objection we identified was some version of that

The prospect raised their hand, filled out a form, clicked an ad, called a number - and then booked a competitor because nobody reached them fast enough 😕

And here’s what most franchise brands miss: those leads don’t disappear, they become the cold pipeline sitting in your CRM right now

Every lead you don’t reach fast enough today is a “cold lead” you’ll be trying to revive in 90 days

Our AI agents reached a live decision maker on 49.3% of outbound attempts, but reaching them is only half of it

Of the calls where a real conversation happened, 30% reached a clean finish: full intake, next steps set, and 17% fell apart mid-conversation

Then I found the stat that changed how I think about call quality:

✔️ Completed calls averaged a QA score of 77/100
⛔ Disengaged calls averaged 64/100

Quality and completion aren’t two metrics; they’re the same metrics

When a call is handled well, it finishes; when it isn’t, the homeowner walks and goes back into the cold pile

That is why follow-up can’t be a campaign you run twice a year, it has to be an infrastructure

The franchise brands winning revenue recovery are not choosing between reaching leads fast and working the old ones

They run one system that does both: reaches the fresh signals before a competitor does, and systematically works the pipeline that already went cold with the same engine and standard every time

Because home services are high-trust, high-ticket, appointment-dependent. A kitchen repaint, a flooring job after a burst pipe - these are not impulse buys

The lead was always there, the question is whether anyone reached it fast enough - and kept reaching and again and again - before someone else

Getting the lead isn’t the hardest part; it's the infrastructure that captures leads fast and revives them when they goes cold

I put together the full playbook to do exactly this, comment PLAYBOOK and I'll send it over

May was always one of the most exciting - and stressful - months when I ran my College Pro painting franchiseFrom Januar...
05/26/2026

May was always one of the most exciting - and stressful - months when I ran my College Pro painting franchise

From January through April, everything was about building momentum 💨

✔️ Generating leads
✔️ Signing contracts
✔️ Estimating jobs
✔️ Hiring crews
✔️ Training painters
✔️ Talking with suppliers
✔️ Lining up enough work to keep crews busy and profitable

You spend months preparing for the Spring push, hoping all the preparation pays off

Then May hits

And suddenly, the plan meets reality

Some projects move forward fast 🤝🏾

Some homeowners ghost you 😬

Some estimates you thought were solid suddenly go cold

And meanwhile, you’ve already hired and trained people depending on that work to come through

That season taught me something I still think most painting companies underestimate

Most painting companies don’t struggle because they can’t generate leads

They struggle because follow-up breaks down

And here’s the dirty secret:

Most painting companies are sitting on years-old estimates, inbound leads, and stale opportunities that nobody ever re-engaged with

Not dead leads, just forgotten ones

Especially heading into spring, when homeowners suddenly start thinking about projects again

That’s exactly why we built OutreachGenius

We help painting (and home service) companies recover revenue they already paid for - not by generating more leads, but by reactivating the opportunities already sitting inside their CRM

Because you don’t have a lead problem, you have a follow-up problem

And your CRM is full of homeowners who never actually said no

Are you running a painting or home service company this spring?

What's May looking like for you this year?

I didn’t expect to feel as much as I did in that room. Last weekend, I was honored by the Nigerian Professionals in Mani...
05/25/2026

I didn’t expect to feel as much as I did in that room. Last weekend, I was honored by the Nigerian Professionals in Manitoba Association with the Research, Creativity and Innovation Award 🙏🏾

I came to Canada in 2011 from Nigeria with no blueprint and no guarantee

Just a belief that if I kept showing up and kept building, something would come of it

Fifteen years later, standing in a room full of people who made the same bet on this country, it hit different

The award means a lot

The recognition from my community means more

But what it really reminded me of is that I didn’t get here alone

I stood on the shoulders of Nigerian-Canadians who came before me

People who established a presence in this community before I ever arrived

People who made it easier for someone like me to walk through doors they had to push open themselves

That’s not lost on me

It was also a quiet reminder that the work we do in private gets rewarded in public

There is still much work to do

So much future to pull forward

So much innovation to bring to life at OutreachGenius

But nights like this remind you why the work matters

To every immigrant still figuring out if they belong here:

You do

Keep building

✌🏾

Most companies are using AI to speed up broken workflows. The winners will use AI to delete them 🤨I watched a home servi...
05/22/2026

Most companies are using AI to speed up broken workflows. The winners will use AI to delete them 🤨

I watched a home services company try to “add AI” to their intake last month

They had a receptionist taking calls

A spreadsheet tracking leads

A CRM nobody updated

A sales rep chasing follow-ups from memory and a manager asking the same question every Monday:

“Did anyone get back to that guy?”

Their plan was to buy an AI tool to help the receptionist take notes faster

That is the trap 😕

Speed does not fix a bad system; it just helps create more waste, faster

Most companies look at their current process and ask:

“How can AI make this faster?”

Wrong question, the better question is:

“Would this process exist at all if we designed it today?”

Because most workflows were never designed, they were stitched together

A form here, a spreadsheet there, and a person in the middle holding the whole thing together with sticky notes and hope

Then AI shows up, and the first instinct is to pour intelligence on top of the mess…

A lead comes in

AI responds instantly, qualifies the person, checks fit, books the appointment, updates the CRM

AI follows up if they go quiet

AI hands a human a clean summary only when judgement is needed

That is not automation, that is a compressed revenue system ⛔

The old workflow had five handoffs before a lead got booked

The AI-native workflow has one conversation

I spent years building one of those broken machines before I saw it

Adding tools, hiring around the cracks, creating workarounds for a system that should never have existed

The companies that figure this out early will not win because they have more AI

They will win because they have fewer unnecessary steps

Before you add AI to anything in your business, ask the uncomfortable question:

Are we improving the workflow…or preserving a broken one

My calendar tells me what I planned, my AI Chief of Staff tells me what actually happened 👀That difference has changed h...
05/20/2026

My calendar tells me what I planned, my AI Chief of Staff tells me what actually happened 👀

That difference has changed how I operate

As founders, we instrument our companies

Dashboards, CRMS, call tracking, revenue forecasts

But most founders still run themselves on memory

They finish a day full of calls, meetings, decisions, promises, side conversations, ideas and follow-ups…

Then try to remember what mattered 😕

What did I commit to?

Who needs a follow-up?

Where did I drift from my priorities?

What did I say I would do that is actually not aligned with my goals?

That used to disappear into the noise

Now, my AI Chief of Staff catches it

✅ It listens to my conversations in real time, every day, and reviews my calls

✅ It pulls out every commitment I made and the relationships I touch

✅ It flags the opportunities I should not ignore

✅ And it tells me whether my actions are aligned with the goals I said mattered

Last week, it flagged that I had agreed to three things in two days that did not move a single one of my quarterly priorities forward

I would have never caught that one on my own

Because productivity is not just about doing more

It is noticing when your day is quietly pulling you away from the company you are trying to build

Most AI tools help you create more output

This helps me create more awareness

It is like having a daily debrief with someone who heard every conversation, remembered every commitment, and is willing to tell you the truth

Not based on vibes

Based on what actually happened

🧠 I think every founder will eventually have something like this

Not just an assistant that write emails

A personal operating system that helps them see their own work clearly

This is why over 40 founders have joined my private Skool community where I show them the exact stack - every prompt, every tool, every skill file - and walk them through building their own AI Chief of Staff alongside mine

Comment CHIEF, and I’ll send you the link

Restoration companies do not need more AI tools; they need better revenue systems ✅I was in Orlando, Florida, last week ...
05/19/2026

Restoration companies do not need more AI tools; they need better revenue systems ✅

I was in Orlando, Florida, last week with restoration operators, owners, vendors, and industry experts at the PSA Canam Systems conference

One highlight was presenting to a few dozen restoration business leaders and operators about our growing partnership with PSA to bring AI voice solutions to the restoration industry 🔥

But the best part was the conversations

👉🏾 The honest side conversations with operators who are actually in the field, dealing with problems every day

That is where the real insight comes from

And what stood out most was how urgently operators are asking for solutions, not in a vague “AI is interesting” way

In a very practical way:

“How do we stop missing calls?”

“How do we follow up faster?”

“How do we get more jobs from the leads we already paid for?”

“How do we make sure every opportunity gets handled properly?”

“How do we give our franchisees better systems without adding more complexity?”

Real problems, messy problems, expensive problems

Problems that actually matter 💰

When you really listen, you stop building around hype

You start building around pain

And the clearest pattern I saw is this:

Most restoration companies are already paying to create demand

The leak is what happens after demand shows up

That is why AI has to do more than answer calls

It has to help home service franchise brands:

💹 Create demand

💹 Capture demand

💹 Compound demand

A missed call is not just a missed call, it is lost demand

A stale lead is not just a stale lead, it’s uncaptured demand

A past customer with no follow-up is not just a contact in the CRM; it is an uncompounded demand

That is how we think about what we are building at OutreachGenius

Not as “AI replacing people”

But as a system that turns more signals, calls, leads, customers, and follow-ups into revenue

Great spending time in warm Florida ⛱️

Even better, spending time close to the problems

The most dangerous part of AI coding isn’t that AI will replace developers. It’s that AI dramatically accelerates lazy t...
05/13/2026

The most dangerous part of AI coding isn’t that AI will replace developers. It’s that AI dramatically accelerates lazy thinking 👇🏾

A lot of people are discovering this right now

I’ve experienced it firsthand building internal system with AI over the last few months - an AI Chief of Staff, a fully automated QA system reviewing 100% of our AI calls, a synthetic persona framework with 200+ personas stress-testing our AI agents and more…

Fast to build, but the early versions were fragile, chaotic and hard to hand off

AI didn’t cause that problem; my lazy thinking did

Because AI lets you create:

⛔ Technical debt

⛔ Chaotic systems

⛔ Fragile workflows

⛔ And software spaghetti

At unprecedented speed

And here’s what became very clear:

The entrepreneurs who win with AI coding are NOT the best coders

✅ They’re the people who think structurally before they build anything

Who plan clearly, debug relentlessly, and collaborate intelligently with AI rather than just prompting and hoping

That’s what the “vibe coding” conversation keeps missing

AI removes ex*****on friction

It does NOT remove the need for architecture, systems thinking, prioritization, or judgement

In many ways, these skills become MORE important now - not less

Because AI will happily help you build a terrible system very quickly

The future advantage won’t be “who can prompt AI”

It will be “who can think clearly enough to direct AI effectively”

That’s a different skill than most people are training for

Before I write a single line of code, I ask AI to interview me. Not 5 questions, not 10. Sometimes 40 or 50 👀This forces...
05/12/2026

Before I write a single line of code, I ask AI to interview me. Not 5 questions, not 10. Sometimes 40 or 50 👀

This forces me to clearly articulate workflows, use cases, user stories, edge cases, desired outputs, data sources, operational logic - all of it

Before anything gets built

This helps me generate the Project Spec document that becomes the foundation of the build

👉🏾 Most people skip this entirely, they jump straight to tools and start prompting

That’s where AI-powered builds fall apart

AI doesn’t fail because it can’t code

It fails because it’s working from an ambiguous brief

Garbage in, garbage out - just faster than ever before

The interview forces two things:

1️⃣ You actually understand what you’re building

2️⃣ AI actually understands what you’re building

Once the spec is clear, I set up the environment

My preferred stack is Claude Code, GitHub, Supabase, and Netlify

There are plenty of great alternatives like Cursor, Replit, Codes and more, the tools matter less than the workflow

I always connect to GitHub from day one to manage versions of my code, because eventually, my engineers will work on it to tighten security and integrate it into the main code base

As a founder, I don’t want to code forever; I want to bring ideas to life fast, validate them, and hand them off

That’s the actual leverage

The 40- 50 question interview is why my AI Chief of Staff works the way it does, why our automated QA system reviews 100% of calls without breaking and why early versions that were fragile got replaced by systems that could scale

Clarity before code every time

If you’re trying to build your first AI-powered product, comment BUILD and I’ll send you an invite to my free Skool community where I help entrepreneurs get started

Address

Winnipeg, MB

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