Podcast

Humans of the Flywheel: Decisioning as a Critical Skill for Every Marketer

Ia accelerate

AI closes the gap between insight and action, but it still needs humans to decide what matters. Models can surface recommendations, but humans determine which ones to act on, which ones to ignore, and when nuance outweighs speed.

Decisioning is the connective tissue between AI’s intelligence and a brand’s intent. It is the ability to answer: What action should we take? When should we take it? And why does it matter?

Decisioning is no longer the sole responsibility of strategists or analysts. It is a multidisciplinary skill set that touches creative teams, media planners, data analysts, PR leads, and brand managers.

Pull Quote: “By 2028, decision intelligence will be one of the top skills required in marketing and communications roles.” – Gartner

AIOS and Conversational Planning Interfaces: Supercharging Decisioning

Legacy planning cycles were built for a slower world. They cannot keep up with AI-powered ecosystems where market conditions and creative opportunities shift daily.

This is where AIOS and its Conversational Planning Interface change the game. Marketers can feed business goals, creative hypotheses, and constraints into AIOS and receive decision-ready recommendations, not just reports.

The result is Augmented Action:

  • Humans define intent and context

  • AI accelerates execution and optimization

  • Teams move from reactive to proactive, adjusting campaigns and creative in near real time while maintaining brand integrity

Integrating Decisioning Into Every Role and Organization

Building decisioning capability is not about training a handful of analysts. It is about embedding this skill across every level of the marketing organization.

Some organizations are already redefining how their teams operate:

  • Systems Strategists use AIOS insights to guide mid-campaign pivots instead of waiting for end-of-month reviews

  • Creative Engineers evaluate AI-generated outputs to ensure alignment with brand voice and audience context

  • Super Connectors continuously adjust spend based on scenario modeling and dynamic recommendations

How to build decisioning into culture:

  • Cross-train teams in data fluency and AI tooling

  • Embed AI feedback loops into creative and performance reviews

  • Update job descriptions to list decisioning as a required skill

A Day in the Life: Decisioning in Action

Without decisioning skills and systems, marketers often work reactively. They spend hours compiling reports, waiting for agency input, and implementing changes after opportunities have already passed.

With decisioning powered by AIOS, the workflow looks different:

  • Morning: Review AIOS-generated overnight performance signals to identify underperforming creative elements

  • Midday: Run a conversational planning session to test budget reallocation scenarios and creative adjustments

  • Afternoon: Meet with creative and media teams to pivot messaging frameworks based on real-time insights

  • End of day: Feed new decision criteria back into AIOS for overnight optimization and learning

This shift saves time, reduces waste, and allows marketing teams to focus on building resonant, creative experiences that move the brand forward.

Proof Point: Decisioning at Work
  • Citizen’s Restructure: By redefining roles around decisioning, Citizen reduced optimization cycles by 40 percent and improved ROI

  • Plus Company Evolution: Job descriptions across the network now emphasize decisioning alongside creativity and data fluency

  • Gartner Insights:

    • By 2028, at least 15 percent of everyday work decisions will be made autonomously by AI agents, up from nearly zero in 2024

    • By 2028, 33 percent of enterprise software applications will embed agentic AI capabilities, compared to under 1 percent in 2024

    • By 2028, 25 percent of Chief Data and Analytics Officer vision statements will position their organizations as decision-centric rather than purely data-driven

The Human Edge in an AI World

AI can execute. AI can predict. But humans decide what matters.

In an AI-powered workflow, the ability to make intelligent, timely, and brand-aligned decisions is the superpower marketers need most. Platforms like AIOS amplify this capability, giving every marketer the tools to act with speed, clarity, and confidence.

The marketers who build decisioning muscle today will not just run better campaigns. They will define what marketing looks like tomorrow.