Free guide · 32 pages
Scaling AI adoption in marketing.
A tactical guide for leaders.
How B2B marketing teams move from scattered pilots to repeatable, measurable results.
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Everyone’s using AI. Almost nobody can prove it’s working.
More usage. Less proof. The bar moved from hours saved to pipeline, and most teams are still clearing the old bar.
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Marketers using AI
63%91%
In one year. Jasper, 2026
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Marketers who can prove ROI
49%41%
Over the same year. Jasper, 2026
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Marketing teams actually scaling AI
14%
46% are still piloting. Marketing AI Institute, 2025
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Revenue growth of “future-built” companies vs. laggards
2.4x
BCG, 2026
The (un)sexy truth
It’s not a tooling problem. It’s an operating model problem.
The winners didn’t find a magic tool. They changed how their teams work. The guide shows you how to do the 70%.
- 10%Algorithms
- 20%Technology and data
- 70%People and process
The four stages
Where your team actually is.
Good news first: if your team is still piloting, you are extremely normal. The money shows up when pilots turn into ways of working.
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1
Experimenting
People try AI on their own, often with personal accounts.
Results are anecdotes from Slack.
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2
Most teams are here
Individual productivity
Most people use approved tools to draft and research faster.
ROI is “we saved some hours.”
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3
Team workflows
Workflows run on shared prompts, shared brand context and real review steps.
Before and after metrics.
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4
Systematized and agentic
Agents run parts of campaigns while humans steer and approve.
Pipeline impact reported to the board.
Not sure where you are? The guide opens with a 2-minute self-assessment.
What’s inside
Ten sections. Each one ends with a to-do list.
“Do this next” items you can assign on Monday. Every stat links to its source, so you can take it straight to your CFO.
- 01
Where your team actually is (no, really)
The four stages of AI maturity and a 2-minute self-assessment.
- 02
Why adoption stalls (it’s not the robots)
Missing training, legal bottlenecks, messy data, shadow AI and pilots with no end date.
- 03
Pick the right use cases (not all 47 of them)
Score ideas on value, feasibility and risk, then steal seven proven plays.
- 04
Build the foundation (the boring part that makes everything work)
One brand context layer, clean data, a sane stack and review rules legal can live with.
- 05
Who owns AI, and who does what now
Owners, a small council, the new builder roles and the five training hours that matter.
- 06
Why your team is secretly using ChatGPT
Stigma, anxiety, workslop and trust, and why managers are your biggest lever.
- 07
Measure what matters (hint: not just hours saved)
A four-rung metrics ladder that climbs from adoption to pipeline.
- 08
Your 90-day plan
Days 1 to 30, 31 to 60 and 61 to 90, from “we’re piloting” to “here are the numbers.”
- 09
Your buyers are using AI too
Half of software buyers now start in a chatbot. How to show up in the answer.
- 10
Toolkit
A maturity self-assessment, an AI policy starter, vendor questions and a use-case worksheet.
Go from pilots to proof.
Thirty-two pages for marketing leaders who need AI to show up in pipeline, not just in hours saved.