Australian technology company Runnit has built an AI operations platform for in-house marketing teams and creative agencies, automating planning and workflows while aiming to preserve creative quality. The platform addresses a persistent problem for operations leaders: organisational knowledge locked in disconnected systems, documents, and individual experience, which forces teams to rebuild project plans from scratch every time.
How the platform uses existing organisational knowledge
The system draws on an organisation's existing briefs, brand assets, workflows, project history, team capabilities and client information to construct project plans, recommend resourcing and automate operational processes from a single creative brief. Founder Mark Tolson built the platform after observing how much institutional know-how inside agencies and marketing teams remains fragmented and inaccessible when it's needed most.
"Marketing teams have embraced AI for content creation, but operationally most organisations are still working exactly as they did before," Tolson said. "AI only becomes transformational when it understands the context of how your organisation actually works and that's what Runnit was built to do."
Adoption and early results
Businesses across Australia and New Zealand have started adopting Runnit as part of broader AI for Operations strategies. Tolson said the platform's capacity to grasp the operational realities of running client businesses has already produced significant monthly savings on licensing costs and internal administration time. Teams now spend more time on strategic and creative work instead of routine admin tasks.
Tanya Babić, co-founder of creative studio Subversus, described Runnit as becoming "like another member of the team, keeping track of schedules, chasing outstanding items and helping us prep for shoots." She added, "It lets us harness AI in a meaningful way, without having to juggle a dozen different tools ourselves."
The next phase of AI adoption
Tolson argued that competitive advantage will soon shift from who has access to AI to which organisations embed it into how work actually gets done. "Instead of asking teams to start from scratch every time a project begins, we use the knowledge they already have to automate planning, improve resource allocation and remove much of the operational friction that gets in the way of creating great work," he said.
For operations managers who want to build similar intelligence into their own workflows, an AI Learning Path for Operations Managers can help structure that shift. Runnit's early uptake suggests demand is growing for tools that don't just assist with content generation but reconfigure the operational backbone of marketing work.
Why this matters for operations
Operations professionals see the direct cost of fragmented workflows every day: duplicate effort, missed handoffs, and expensive administrative drag. A platform that learns from an organisation's own project history and team structure reduces that waste without requiring teams to adopt yet another generic tool. The promise is not more software, but fewer manual steps and faster, more consistent project delivery. Organisations that connect their existing operational knowledge to AI stand to reclaim hours of planning time and shift resources toward higher-value work.
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