What are the big questions we should be asking ourselves during this constantly changing operational landscape?

Topics will cover:

Every company is scrambling to implement AI, but few recognise where the real power lies.

While regulations and corporate policies slowly take shape, teams are making dozens of daily decisions that collectively determine AI's trajectory. Every choice - from data selection to interface transparency, from workflow automation to human oversight - puts a finger on the scale of our shared future. You didn't ask for this responsibility, but creative leaders and the teams they support have their hands firmly on the wheel.

What Global Data Reveals About the Real Drivers of Creative Performance

The challenge:

Creative Operations are under mounting pressure to do more with less.

Bad response:

Cut costs.

Better response:

Pursue empathy not efficiency.

What Signals has found:

• Practical applications for generative AI in Creative Ops
• Common barriers to gen AI adoption, and what to do about it
• The future of gen AI for Creative Ops teams

As creative operations evolve, our teams are no longer fixed. They're fluid ecosystems of full-timers, freelancers, AI collaborators, and global partners. Managing this fluid, multi-faceted creative workforce requires a whole new operational mindset.

Join Monique Richards, Managing Director of Aquent Studios in Australia, and discover how leading Creative Ops leaders are shifting from rigid structures to ‘elastic teams’ — scalable creative capacity that expands and contracts without sacrificing culture or quality.

What Monique will cover:

Thriving in a Post-Pitch World

This session addresses the significant financial and structural pressures facing creative agencies and in-house teams today. 

Covering: 

The challenge:

In the space where creativity, structure, and machine intelligence collide, how do you protect creative magic while evolving the method?

The need:

Creative Operations must navigate a high stakes balancing act: embracing technology and data without dimming the creative flame; building scalable systems that don’t smother the soul of the work. 

Solutions to square the circle: