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Our AI Playbooks Are Here: A Faster Way to Deploy AI Across Marketing

Published

August 5, 2026

Updated

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Tl;dr: What to know about Right Side Up’s New AI playbooks

  • AI playbooks are repeatable AI workflows built for specific marketing problems, then customized and deployed by the expert who created them.
  • Each playbook is customized to your goals, tech stack, and internal processes.
  • You get the workflow and the expert behind it: implementation, training, and support are included.
  • Playbooks are built by RSU-vetted senior marketers across disciplines like paid media, ecommerce, lifecycle, SEO/GEO, and marketing analytics.
  • AI playbooks combine the speed of a proven workflow that’s easily implementable with the flexibility of a custom solution.

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Marketing teams today are under immense pressure to use AI to its fullest capabilities and prove it’s actually driving results. Unfortunately, this pressure rarely comes with the extra bandwidth or technical expertise needed to master AI. 

Enter: Right Side Up’s new AI playbooks, a new offering within our broader AI services.

With AI playbooks, marketing teams can gain access to proven AI workflows tailored to their goals, tech stack, and ways of working. And after we build your playbook, we don’t just hand it off to you; we also connect you with the RSU-vetted expert builder and marketer to:

  • Customize the workflow for your team
  • Implement it
  • Train your team on how to execute and use it
  • Provide any maintenance or troubleshooting needed over time

What’s a Right Side Up AI playbook? 

An AI playbook is a repeatable AI workflow built to solve a specific marketing problem. Each one starts as a proven workflow that’s been tested or used by real marketing teams. Then it gets customized for your team’s objectives, tech stack, and ways of working by the consultant who built it.

Right Side Up has curated a growing library of AI playbooks built by our expert consultants. These playbooks can support a wide range of marketing needs, from measurement and reporting to launch planning and optimization.

But they all share the same core purpose: helping teams turn AI from a scattered experiment into a workflow that produces faster, more consistent outcomes.

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A few of our favorite playbooks

Some of our most popular playbooks include:

  • Automated Custom Reporting and Dashboards: Connects to your marketing platforms and delivers formatted reports.
  • Creative Performance Analysis and Content Brief Generation: Analyzes creative performance data to surface what’s working and generates structured briefs for your next round of content
  • Diminishing Returns Analysis For Ad Spend: Analyzes your ad spend data to identify where incremental budget stops producing incremental returns.
  • Amazon Product Launch Research and Validation: Runs opportunity research, product validation, and go-to-market planning for Amazon launches in parallel, collapsing 2-4 weeks of analyst work into 3-5 days.
  • Media Mix Model Budget Allocation Analysis: Builds a custom MMM model calibrated to your actual channels and spend. 

Contact us if you feel like they’d be a good fit for your team—or browse our entire collection first.

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How AI playbooks work

1. You identify the playbook you want.

Think about what pain point you want to solve with AI. This can be something like,

  • “We need better attribution.”
  • “We don’t know where to start with GEO.”
  • “We want to ship creative assets faster.”
  • “We’re spending too much time on manual reporting.”

Then, browse through our collection and find the playbook that best suits you. And if you need recommendations or have a playbook idea that’s not on our list yet, we’re happy to deploy an expert to scope and build it for you.

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Not sure where to start with AI? Let us advise you.

Although some clients have a defined idea of what playbook they likely need, others don’t have the perfect use case in mind.

That’s why, in addition to offering playbooks, we also provide AI advisory services. If you go this route, we’ll put on our strategic hats and evaluate your AI maturity, team structure, tools, goals, and constraints. We’ll help you answer questions like:

  • What tools are you already using?
  • What platforms, data sources, or other workflows need to connect?
  • Are you prioritizing quick wins or a larger initiative?
  • How hands-on do you want training to be (e.g., structured sessions vs recorded walkthroughs)?

From there, we’ll evaluate where AI can create the most value and recommend a prioritized roadmap.

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2. You get the playbook—and the builder behind it.

Once we align on the playbook, the builder customizes it for you, taking into account your team’s data, tools, existing workflows, approval processes, and any other needed considerations.

At this point, we could call it a day, but ending things on such a clinical handoff wouldn’t be very RSU of us.

So instead, you get access to the playbook’s builder. 

As a reminder, your builder is an RSU-vetted senior marketer, not just a technical implementer. They’ll handle implementation, training, and maintenance as needed so the playbook keeps working flawlessly after launch.

Why we built AI playbooks

Most, if not all marketing teams are past the “Should we use AI?” stage and are now stuck on “What should we actually build?” 

They’re getting pressure from boards or leadership to not just use AI, but incorporate it fully into their work.

At that level, there’s two issues:

  • Teams don’t know what to build with AI: They may not know what’s possible or what to prioritize since the options are almost endless.
  • Teams don’t know how to build with AI: They may have a clear idea of what would move the needle, but not the skill or bandwidth to execute it. Many brands we work with have this conundrum. They know a custom AI-powered Media Mix Modeling (MMM) or bidding platform could bring a ton of value, but aren’t able to build it themselves (yet). 

We actually have data backing up that second point. In our AI Fluency report, we found that only 12% of marketers are AI-native, proving that very few marketers today are capable of building end-to-end AI workflows.

This takes us to why we built AI playbooks: to help marketing teams take those first steps towards advanced AI proficiency and usage. Our ultimate goal is to enable you to operate and evolve what was built, not to make you reliant on us to keep the lights on.

An in-depth look at two popular AI playbooks

AI-Native Media Mix Modeling (MMM)

Traditional attribution misses a huge part of the customer journey, often undervaluing no-click channels like out-of-home (OOH) or audio advertising. This playbook uses AI-assisted workflows to make MMM more accessible (read: cheaper) and actionable.

Teams can use it to:

  • Measure the impact of online and offline channels
  • Identify where the next marketing dollar is most likely to drive results
  • Improve budget allocation decisions
  • Reduce reliance on expensive measurement platforms

Learn more about this playbook by watching our webinar featuring its builder, Nadir Hussain.

AI-powered Amazon launches

Amazon discovery is much more than keywords and PPC nowadays. This playbook helps brands launch products using AI workflows designed for modern search and recommendation environments.

Teams can use it to:

  • Accelerate research and positioning
  • Build listings and launch plans faster
  • Forecast inventory and launch economics
  • Improve product visibility from day one

Learn more about this playbook by watching our webinar featuring its builder Jack Atlasov.

What makes our AI playbooks unique

Too often, purveyors of AI workflows will just hand you a plug-and-play shortcut, without the support or customization to make it useful. 

Or, conversely, they’ll build an overengineered system that takes forever to implement and is hard to maintain. 

Even worse, some companies will try to rope you into unfavorable contracts or muddy the water around who owns the workflow once it’s built. Here’s what makes our approach different.

  • Real marketing expertise meets AI fluency
    Our playbook builders are more than AI savants; they’re vetted subject-matter experts across paid media, lifecycle, analytics, ecommerce, creative, SEO/GEO, and more. 
  • Fast deployment without the “set it and forget it” trap
    Each playbook has been tested or used by real marketing teams. This means you start with a proven baseline. From there, your builder customizes it for you. But because we’re not starting from scratch, playbooks can be quickly deployed.
  • Customized for your team’s needs
    Your workflow is tailored to your tools, inputs, approval structures, reporting needs, and team bandwidth, so it fits into how your team already works.
  • Implementation, training, and support
    We don’t just email you the playbook and call it a day. Your builder implements it, trains your team, and can hang around to maintain, troubleshoot, and improve it over time.
  • Yes, you can even hire the consultant
    If you love working with your builder—you probably will—you can bring them onto your team. 
  • Flexible pricing and full playbook ownership
    Engagements are hourly, with no retainers, no upfront commitments, and no ongoing platform fees. You can evaluate the fit before committing, cancel within seven days, and you own the playbook forever once it’s built.

AI playbooks help you become more AI-fluent

Our research has shown that most marketing teams today aren’t comfortable enough with AI to build and deploy complex workflows. While nearly half of marketers have some experience building with AI, only 12% consider themselves fully adopted developers.

Level Percentage of marketers Description
AI beginner 18% Uses AI regularly for basic tasks
AI-enabled 23% Connects AI to existing tools
AI-proficient 47% Can create simple tools or workflows
AI-native 12% Builds multi-step, human-in-the-loop systems

Data based on 580 answers from senior marketers within our talent collective. Read our AI Fluency in Marketing report for more.

Part of the benefit of our AI playbooks is that they give you a taste of what can truly be done with AI. They allow you to get real experience with a high-level AI workflow, enabling you to better understand the mechanics behind it and the business outcomes it can create.

For many, this will be motivation to take the next leap in AI proficiency. That’s our end goal. Like we’ve said, we don’t want clients to be fully dependent on us for every AI need; we want to leave them more capable than before.

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Get started with your first playbook

AI adoption is easier when you don’t have to start from scratch. With AI playbooks, you get a proven workflow and access to the expert who built it—so your team can move faster without figuring it all out alone. 

Talk to us today and let’s build an AI workflow that delivers measurable results for your team.

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Vincent is a senior content marketer who finds equal joy in crafting in-depth guides and penning punchy subject lines. Before joining Right Side Up, he honed his skills in the fintech, insurance, and travel worlds—both agency-side and in-house. In his spare time, you can find him riding his bike or petting his cats.

FAQ

What is an AI playbook?

An AI playbook is a proven AI marketing workflow that uses AI tools to complete a specific marketing task with clear inputs, defined outputs, and minimal manual effort once it’s set up. Built by senior marketing practitioners, each AI playbook solves a specific use case, like reporting, research, creative analysis, or content production. Every AI playbook has been built and tested in a real marketing environment, then tailored to fit your team’s tools, data, and ways of working.

Who builds and implements an AI playbook?

You'll work with a senior Right Side Up marketing practitioner with deep AI fluency and hands-on experience building AI marketing workflows. They'll learn your stack, tailor the AI playbook to fit how your team already works, and implement it alongside your team. Every practitioner is vetted through a structured AI assessment, so you're not getting someone who's simply familiar with AI tools; you're getting someone who has real experience building and deploying AI workflows in marketing.

How long does it take to build and deploy an AI playbook?

Most AI playbooks can be up and running within 2-4 weeks. Timelines depend on the complexity of the workflow and your existing tech stack, but because AI playbooks have already been built and tested in real marketing environments, implementation is typically much faster than starting from scratch. If your needs require a custom AI marketing workflow, we'll scope the timeline with you before work begins.

What are some examples of AI playbooks?

Common AI playbook use cases include reporting dashboards, creative performance analysis, budget optimization, Amazon launch planning, and media mix modeling.

Can you build a custom AI marketing workflow that’s not already an AI playbook?

Yes. AI playbooks are proven starting points, not the full limit of what we can build. If you have a specific problem in mind, we can scope a custom AI marketing workflow around your team’s goals, tools, data, and ways of working.

What if we’re not sure where to start with AI in marketing?

That’s exactly what our AI Advisory services are for. A senior marketing practitioner will assess your tools, workflows, data, team capacity, and current AI usage, then help prioritize where AI marketing workflows can create the most leverage. From there, we can help build what’s next, whether that means tailoring a proven AI playbook or creating something custom for your team.

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