RMIT University

RMIT University engaged Flowstate as an industry partner within the Masters of Data Analytics and AI programme. The objective was to bridge academic theory with real-world practice. Students worked with live data, real customer systems, and applied AI challenges that reflect the complexity of modern organisations.

This was not a guest lecture engagement. It was active collaboration.

Flowstate integrated real-world CRM, customer journey, and system design challenges into the curriculum — giving students hands-on exposure to how AI transformation works inside operating businesses.

Where the gap existed:

• Students understood models and theory but had limited exposure to live CRM environments

• Customer journey mapping in operational contexts was not part of the standard curriculum

• Integration challenges across multiple systems were rarely taught in practice

• Translating data insight into business decisions required real-world context

• Governance and reporting frameworks tied to commercial outcomes were missing from the learning experience

Flowstate partnered with RMIT to create an applied learning model built around real enterprise system challenges.

“Flowstate’s collaboration was invaluable to our students. It translated classroom learning into real world application and exposed students to the complexity of modern data driven organisations.”

Hafizul Islam PhD, College of Business, RMIT University

Designing the Applied Learning Experience:

Flowstate partnered with RMIT to create a learning model built around real AI and customer experience challenges.

We introduced students to CRM data structures, customer journey frameworks, behavioural segmentation logic, and revenue attribution models. Students worked with real platform environments — including Klaviyo — analysing structured datasets across customer profiles, transactions, and segmentation logic.

Rather than theoretical assignments, students were tasked with identifying friction within CRM environments, proposing segmentation improvements, mapping customer journeys to commercial outcomes, and designing improvements tied to measurable impact.

This gave students direct exposure to how AI-enabled systems function inside real businesses.

Internship Programme and Commercial Impact:

The collaboration extended beyond the classroom. Twelve high-performing students were selected for a 12-week internship embedded within Flowstate. During that period, students contributed to active customer optimisation projects, supported data analysis and segmentation work, and delivered insight that informed system improvements. The cohort added tangible value across multiple active accounts while gaining real experience operating inside complex AI and data environments.

This created a direct talent pipeline aligned to Flowstate's capability areas.

Outcome:

For RMIT students: practical exposure to AI-enabled CRM and customer systems, applied experience with real datasets, industry-ready skill development, and a 12-week structured internship.

For Flowstate: fresh analytical thinking across customer environments, additional research capacity, and stronger connection between academic AI research and real-world application.

The partnership demonstrated how AI transformation can serve as both a commercial capability and an educational framework — and how education, industry, and applied AI can operate as one connected model.