Solutions / 03 · Marketing
AI for marketing teams
Publish more, source more pipeline, and keep a human sign-off on every word that leaves the building.
Teams we build for
- Hoyes Michalos
- Nurse Next Door
- Fedi
- UBC Sauder
- Merchant House Capital
- Picton Mahoney
- Campbell Froh May & Rice LLP
- Barnakl
- Hungerford
- Breez
Teams we build for
- Hoyes Michalos
- Nurse Next Door
- Fedi
- UBC Sauder
- Merchant House Capital
- Picton Mahoney
- Campbell Froh May & Rice LLP
- Barnakl
- Hungerford
- Breez
Teams we build for
- Hoyes Michalos
- Nurse Next Door
- Fedi
- UBC Sauder
- Merchant House Capital
- Picton Mahoney
- Campbell Froh May & Rice LLP
- Barnakl
- Hungerford
- Breez
The marketing day, drawn twice
The dashed lane is the day by hand. Below it runs the same day on the system, and the dashed node in the middle is a person approving every consequential step before it ships.
The dashed lane across the top is the Marketing day by hand: Pull metrics into the deck, Chase overdue drafts, Rewrite copy into brand voice and Reschedule what did not ship. Below it, CMS, Email platform and Ad platforms feed the agents, every consequential action waits at your approval, and the approved work lands in Approvals, Dashboard and Brain map.
The day by hand
- 01Pull metrics into the deckhuman
- 02Chase overdue draftshuman
- 03Rewrite copy into brand voicehuman
- 04Reschedule what did not shiphuman
The day on the system
- 01CMS
- 02Email platform
- 03Ad platforms
- 04Agents
- 05Your approvalhuman
- 06Approvals
- 07Dashboard
- 08Brain map
What the marketing lead is actually dealing with
- 01
The calendar slips every month
One person writes, edits, designs and schedules. A launch or a fire drill bumps this week's post and the blog goes quiet. The gap shows up in pipeline later.
- 02
Every channel sounds like a different company
The founder writes one way and the freelancer another. There is a voice doc. Nobody opens it.
- 03
Reporting eats the first week of the month
You copy numbers out of the ad platforms, the email tool and analytics into a deck by hand. By the time it is assembled, the story it tells is old.
- 04
"Not now" means never
The list gets built, the first email goes out, then campaign work takes over. Prospects who said "not now" never hear from you again.
- 05
You are the approval bottleneck
Drafts sit in docs waiting on your review. Publishing dates are guesses because the queue lives in your inbox.
What we build for marketing teams
Voice-locked draft engine
It learns your voice from the brand archive, then drafts posts, emails and pages with sources cited. Every draft waits in the approvals queue. You edit, it learns the edit, and nothing publishes itself.
One-brief campaign fanout
You approve one brief. The engine turns it into the post, the newsletter, the social cuts and the ad variants, each sized for its channel. One idea, every channel, one approval.
Warm lead sequencer
It works the lists marketing already owns. Event badge scans, newsletter readers who clicked, prospects who filled out the content form. Each one gets a follow-up sequence tied to what they touched, and the sequence stops the moment someone replies so a human takes over. Booked calls land on the calendar, and cold prospecting stays with your sales team.
Answer-engine visibility watcher
It checks how AI assistants answer the questions your buyers ask, and whether your pages get cited. When your company is missing or described wrong, you get a brief in chat with the fix.
Self-building campaign report
It pulls spend, sends, sessions and pipeline into one report that updates itself. The Monday meeting reads the same numbers you do, and nobody built a deck on Sunday.
Testimonial chaser
It asks the client for the quote, the logo permission and the sign-off, then follows up until they arrive. Approved proof lands in the brand archive where the draft engine can use it.
Built from these systems
Every workflow above is one of these systems, configured for marketing teams. Each has its own page, with the pipeline drawn and the line we do not cross written down.
The surface your team runs it from
Drawn in code from the panel you actually get, not a doctored screenshot. Where a real number would sit, the panel shows a label, because numbers on this site have to trace to a source.
Nothing you can't undo runs without your yes.
The draft
Risk, reversibility and expiry stated
WaitingApproveThe plan
Risk, reversibility and expiry stated
ApprovedApproveThe number
Risk, reversibility and expiry stated
ApprovedApprove
The numbers we put in writing
| Term | In writing |
|---|---|
| The promise | 5x ROI in 30 days |
| The baseline | Signed before we build |
| The clock | Starts at deployment |
| If we miss | We keep working free |
We guarantee 5x ROI inside 30 days of deployment, in writing, measured against a baseline you sign before we build. If the system misses the bar, we keep working for free until it clears.
Wired into your stack
Reads from
- HubSpot
- Google Analytics 4
- Google Search Console
- Semrush
Acts in
- Webflow
- WordPress
- Mailchimp
- Buffer
Reports to
- Looker Studio
- Google Ads
- Meta Ads Manager
The numbers in marketing teams
Marketing teams ran generative AI in 22.4% of marketing activities in 2026, up from 7.0% two years earlier, per The CMO Survey.
The CMO Survey (Deloitte, Duke Fuqua School of Business, American Marketing Association) · 2026 · 308 marketing leaders at US for-profit companies (14.6% response rate, 97% VP level or above), in the field January 7 to 29, 2026
Companies expect AI to run 55.9% of marketing activities within three years, in the same CMO Survey.
The CMO Survey (Deloitte, Duke Fuqua School of Business, American Marketing Association) · 2026 · 308 marketing leaders at US for-profit companies (14.6% response rate, 97% VP level or above), in the field January 7 to 29, 2026
4 in 10 companies already work on showing up in AI-generated answers, per the 2026 CMO Survey. The answer-engine watcher exists because of this.
The CMO Survey (Deloitte, Duke Fuqua School of Business, American Marketing Association) · 2026 · 308 marketing leaders at US for-profit companies (14.6% response rate, 97% VP level or above), in the field January 7 to 29, 2026
19.2% of Canadian businesses used AI to produce goods or deliver services in the past year, triple the share of two years earlier, per Statistics Canada.
Statistics Canada · 2026 · 9,251 business responses from a 21,105 sample, fielded April to May 2026 (Canadian Survey on Business Conditions)
Marketing headcount still grew 2.5% over the past year while generative AI use kept rising, per The CMO Survey. The growth slowed from 5.4% the year before.
The CMO Survey (Deloitte, Duke Fuqua School of Business, American Marketing Association) · 2026 · 308 marketing leaders at US for-profit companies (14.6% response rate, 97% VP level or above), in the field January 7 to 29, 2026
Run your numbers.
Your operations
Savings use the low end of our hours-reclaimed range. The math is conservative on purpose.
The math
Calculated at the low end of every range.
Every first build is covered in writing: 5x ROI in 30 days. Or we work for free.
Where this lands hardest
The same build, read by sector. Each of these pages argues from the industry's systems instead of the role's day.
Financial services→
Marketing there ships through compliance review, which is what the approvals queue is built for.
Professional services→
The expertise is the product, so the content engine turns partner knowledge into published proof.
Real estate→
Brokerages run on listing content and follow-up, the two things this page automates.
Construction→
Marketing there is usually one person next to a day job, the team of one this page is built for.
We have built this 2 times
Every number on these is labelled with how it was measured and the date it was read.
AdvizrInternal
Sales automation · Internal system
Advizr turns an interested reply into a researched proposal deck with its own five-stage pipeline
How Advizr's own five-stage pipeline turns an interested reply into a researched, personalized proposal deck with a human approval gate before anything sends.
5 stages, reply to ready-to-send deck
Hungerford
Interior design · In deployment
Hungerford runs five systems from one build
Five AI systems for Hungerford: AI inbox, vendor coordination, a knowledge brain, a live dashboard and a content engine.
In deploymentsystems in one build
Questions, straight answers
Where the system stops
What we will not automate
Positioning, pricing and anything said in the company's name stay yours: the system drafts, your team decides what the company says.
Your brand archive, customer lists and campaign data stay in your instance, and no model trains on them.
Three ways to start
First build
One system, fixed scope, built on your own instance and covered by the guarantee.
Start free. Know your number in five days.
A 3 to 5 day audit of your operations, ending in a plan with the ROI math attached. No obligation.