The Teams Winning With AI Are Doing This Differently

Let’s wake up from the fantasy:

AI doesn’t actually think for itself.

It’s a tool.

And it’s only as good as the workflow it plugs into.

McKinsey estimates that AI could automate up to 70% of employee tasks, freeing them up to focus on higher-leverage work.

But without the right guardrails, that shift opens the door to inconsistency and compliance risk.

The companies getting it right are building systems that guide it toward the right outcomes.

Let’s break down how smart teams are building AI into their creative infrastructure.

The Breakdown: Best Practices for Integrating AI into Real Workflows

1. Start with Prompt Engineering

Prompts are vital to your AI system.

Bad ones produce below average results.

Good ones unlock usable output, faster iterations, and sharper ideas.

Why it matters:

Prompting is your control panel.

If your prompt is vague, expect to spend more time editing than executing.

What to do:

• Break your prompts into modular components:
  Think Tone | Structure | Content Pillar
  This lets you iterate without starting from scratch every time.

• Use progressive prompting:
  Start broad to test direction, then narrow with focused follow-ups.

• Save prompt-output pairs in a shared doc or database.
  This creates a library you can refine and build on over time.

2. Human-in-the-Loop Keeps Your Brand from Drifting

AI can move fast, but not always in the right direction.

Why it matters:

Unreviewed AI content risks legal issues or just plain bad messaging.

High output isn’t high impact unless it’s aligned.

What to do:

• Designate quality gates in your workflow.
  Subject-matter experts should review and revise before final delivery.

• Use AI for first drafts and idea generation.
  Reserve human time for strategy, voice, positioning, and compliance.

• Track where AI saves time and where it creates new friction.
  That’s how you optimize for scale and quality.

3. Feedback Loops Make the System Smarter

AI improves with iteration, but only if you feed it the right signals.

Why it matters:

Without structured feedback, every output starts from zero.

What to do:

• Store all prompt-output-feedback in a central hub.
  This becomes your team’s AI playbook.

• Use that data to refine prompts or train a custom GPT tailored to your brand.

• Build regular feedback sessions into your content cycles.
  Creative, marketing, and product should all contribute.

The Toolbox: Make for Complex, Modular AI Workflows

If you’re integrating AI into creative or marketing ops, you need a tool that can handle branching logic, error handling, and version control.

Why Make stands out:

• Visual scenario builder makes complex logic easy to map

• Handles multi-step branching with precision

• Offers advanced error handling for live automation

Weaknesses:

• Steeper learning curve than no-code options like Zapier

• Fewer plug-and-play integrations

Best for:

• B2B teams running complex workflows with multiple data layers, approvals, and creative checkpoints

• Automating AI-assisted content generation, review notifications, or feedback capture loops

If your creative pipeline has grown too fast for your manual processes to handle, Make is how you regain control without slowing down.

👉 Explore Make →

Curated Signal: Generative AI’s Real Impact on Marketing Ops

McKinsey: The Economic Potential of Generative AI

"Marketing is among the top three business functions where generative AI could deliver the most value—between $463 billion and $1 trillion annually.”

Translation: The efficiency play is already being measured in billions.

But that value only shows up if you build the right workflows.

Wrap Up

AI isn’t replacing creative teams.

It’s accelerating the ones who know where to point it.

TLDR: Build Smarter AI Workflows

• Break your prompts into modular pieces

• Define human review points before final output

• Store and iterate on prompt/output/feedback combinations

• Use tools like Make to orchestrate multi-step logic at scale

• Make your AI process visible, improvable, and repeatable

The teams pulling ahead are the ones turning intelligence into process.

Want to get the most out of ChatGPT?

ChatGPT is a superpower if you know how to use it correctly.

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Until next time,
Mac

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