The Australian Centre for AI in Marketing (ACAM) has launched a national network of accredited advisors designed to help marketing teams and business leaders build artificial intelligence capability and move from experimentation to execution with ai marketing tools. The initiative, announced on 30 September 2026, brings together ACAM's research frameworks with a growing cohort of experienced practitioners to address the challenge of embedding AI across organisations.
Points clés
- ACAM has launched a national Accredited Advisors network to scale AI marketing capability across Australia
- Fractional executive community Maestro is the first strategic partner in the program
- The network combines ACAM's research, benchmarking and AI Results Transformation methodology with experienced marketing practitioners
- Organisations are moving from asking what AI can do to asking how to embed it across teams and workflows
- Accredited advisors will deliver ACAM programs and transformation services while remaining independent or fractional professionals
- The initiative reflects the shift toward fractional and portfolio careers among senior marketing professionals
- From experimentation to organisation-wide execution
- Maestro partnership brings fractional executive model
- Accreditation pathway and intellectual property framework
- Capability building beyond technology selection
- Maintaining practitioner-led design at scale
- AI transformation services and program delivery
- The Australian AI marketing landscape
- Questions fréquemment posées
- En résumé
From experimentation to organisation-wide execution
According to Roastbrief US, the ACAM Accredited Advisors program extends the centre's reach by bringing together its research, benchmarking, education programs and AI Results Transformation methodology with marketing practitioners, executives, consultants and specialists. The launch addresses what ACAM describes as organisations increasingly moving toward the more complex challenge of embedding AI across teams, workflows and operating models.
ACAM co-founder and CEO Louise Cummins said the network reflects the changing nature of both AI transformation and the workforce required to deliver it. « Over the past year we've seen organisations move very quickly from asking what AI in marketing can do to asking how they actually make it work across their organisation, » Cummins said, as reported by Roastbrief US.
The shift from proof-of-concept projects to systematic deployment represents a maturation point for modèles IA in enterprise marketing. Where early adopters focused on isolated use cases—content generation, audience segmentation, or predictive analytics—organisations now face the operational challenge of integrating these capabilities into daily workflows, governance structures and decision-making processes.
Maestro partnership brings fractional executive model
Maestro, a curated community of fractional experts, interim executives, independent consultants and contractors, is the first strategic partner to join ACAM's Accredited Advisors program, according to the announcement. Vetted Maestro members will undertake accreditation and participate in the delivery and commercial expansion of ACAM programs and transformation services.
The partnership model aligns with a broader workforce trend in which senior professionals move into fractional, independent and portfolio careers rather than traditional full-time roles. Cummins noted this convergence: « At the same time, there is an extraordinary pool of senior professionals moving into fractional, independent and portfolio careers. This partnership allows us to bring those two shifts together. »
Fractional models offer organisations access to specialised expertise without the overhead of permanent hires, while practitioners gain flexibility and portfolio diversity. For AI transformation projects—which typically require cross-functional expertise spanning technology, change management, operating models and domain knowledge—the fractional approach provides a way to assemble capabilities as needed.
Accreditation pathway and intellectual property framework
The accreditation pathway requires selected practitioners to build familiarity with ACAM's research, methodologies, education programs and approach to responsible AI adoption before becoming eligible to represent or deliver defined ACAM services, as reported by Roastbrief US. This structure maintains consistency in how ACAM's frameworks are applied while leveraging the diverse expertise of individual advisors.
Cummins outlined the organisational philosophy behind the network structure: « Our ambition isn't to build a huge permanent consulting team, but build a strong core organisation around our intellectual property, research, data and customer relationships, supported by a highly credible collection of experienced advocates who can be brought into engagements when their expertise is needed. »
The model separates the centre's core intellectual property—research, data, methodologies and customer relationships—from the delivery layer, where accredited advisors apply those frameworks to specific client contexts. This structure allows ACAM to scale delivery capacity without proportionally expanding permanent headcount, while maintaining quality control through the accreditation process.
Capability building beyond technology selection
Cummins emphasised that successful AI transformation requires much more than technology selection. « That requires much more than technology. Organisations need capability, leadership, change, operating model expertise and experienced people who can help turn AI opportunities into action, » she said, according to the report.
The ACAM Accredited Advisors provide organisations with access to specialists who can support capability building and transformation while drawing on ACAM's frameworks, research and methodologies, as reported by Roastbrief US. This includes assistance with team structures, governance, workflows and the operational changes required to embed outils IA systematically rather than as isolated experiments.
The distinction matters because many organisations discover that the technical challenge of deploying a model is smaller than the organisational challenge of changing how teams work, make decisions and measure success. Capability building encompasses training, process redesign, role definition, performance metrics and cultural change—domains where marketing and operational expertise prove as important as technical knowledge.
Maintaining practitioner-led design at scale
ACAM's courses and programs have been designed by marketers for marketers, and Cummins said it was important to remain true to that approach as the organisation scales. « ACAM Accredited Advisors bring deep AI marketing capability across a broad range of disciplines, which means we now have the ability to work with many more marketing teams, » she said, as reported by Roastbrief US.
The network model allows ACAM to expand its reach while preserving the practitioner-led approach that has characterised its education and transformation programs. Rather than diluting expertise through rapid organisational growth, the accreditation structure distributes ACAM's methodologies through professionals who bring their own domain specialisations—whether in brand strategy, performance marketing, customer experience, analytics or other disciplines.
For organisations evaluating how to build internal AI capability, the availability of accredited advisors provides an alternative to both vendor-led implementations and unguided internal experimentation. Vendor implementations often optimise for the specific tools being sold rather than the organisation's broader needs, while purely internal efforts can lack exposure to cross-industry patterns and emerging practices.
AI transformation services and program delivery
According to Roastbrief US, accredited advisors will participate in the delivery and commercial expansion of ACAM programs and transformation services. This suggests a revenue-sharing or referral model in which advisors earn from client engagements while ACAM retains ownership of the underlying intellectual property and methodologies.
The AI Results Transformation methodology mentioned in the announcement appears to be ACAM's structured approach to moving organisations from experimentation to systematic deployment. While the specific details were not elaborated in the available reporting, transformation methodologies typically include phases such as current-state assessment, use-case prioritisation, pilot execution, measurement framework development, capability building and scaled rollout.
For marketing teams navigating the transition from pilot projects to systematic AI adoption, structured methodologies offer a way to sequence decisions, allocate resources and measure progress. The challenge most organisations face is not whether to adopt AI—that decision is largely settled—but how to do so in a way that delivers measurable business value while managing risk, cost and change.
The Australian AI marketing landscape
The launch of the ACAM Accredited Advisors network reflects Australia's position as both an adopter of global AI platforms and a developer of domain-specific applications and methodologies. While the country's market size limits the development of large-scale foundation models—where compute infrastructure and capital requirements favour the United States and China—Australia has emerged as a testing ground for AI adoption frameworks in regulated industries and professional services.
Marketing represents a particularly active domain for AI adoption because the use cases are diverse, the data is often available, the experimentation cycles are short, and the measurable outcomes—conversion rates, engagement metrics, customer lifetime value—provide clear feedback. The maturation from experimentation to systematic deployment that ACAM describes mirrors patterns visible across industries and geographies.
The involvement of fractional executives in AI transformation also reflects structural changes in professional services. As organisations seek expertise without committing to permanent hires, and as experienced professionals seek flexibility without sacrificing intellectual challenge, fractional models have gained traction. The ACAM network formalises this arrangement within a specific domain, providing both quality assurance through accreditation and a shared methodology through ACAM's frameworks.
Questions fréquemment posées
What is the ACAM Accredited Advisors network? It is a national network of experienced marketing practitioners, executives and consultants who have been accredited by the Australian Centre for AI in Marketing to deliver ACAM's programs and transformation services to organisations building AI capability.
Who is the first partner in the ACAM Accredited Advisors program? Maestro, a curated community of fractional experts, interim executives, independent consultants and contractors, is the first strategic partner to join the program.
What does the accreditation process involve? Selected practitioners must build familiarity with ACAM's research, methodologies, education programs and approach to responsible AI adoption before becoming eligible to represent or deliver defined ACAM services.
What is the AI Results Transformation methodology? It is ACAM's structured approach to helping organisations move from AI experimentation to systematic deployment across teams, workflows and operating models, though specific details were not provided in the announcement.
Why is ACAM using a network model rather than building a large consulting team? ACAM aims to build a core organisation around its intellectual property, research, data and customer relationships, supported by accredited advisors who can be brought into engagements when their specific expertise is needed, allowing the organisation to scale delivery without proportionally expanding permanent headcount.
En résumé
The launch of ACAM's Accredited Advisors network addresses a specific inflection point in enterprise AI adoption: the transition from proof-of-concept to systematic deployment. By combining ACAM's research and methodologies with the expertise of fractional professionals, the initiative provides Australian marketing teams with access to guided transformation services without requiring organisations to build all capabilities internally or rely solely on vendor implementations.
The partnership with Maestro formalises a workforce trend in which senior professionals move into portfolio careers, while organisations seek specialised expertise without permanent headcount expansion. For the AI marketing domain, this model offers a way to distribute expertise and accelerate adoption while maintaining quality through accreditation and shared methodologies.
As organisations move from asking what outils IA can do to asking how to embed them systematically, the availability of accredited advisors who understand both the technology and the operational changes required may prove valuable. The success of the network will depend on the quality of practitioners it attracts, the effectiveness of ACAM's methodologies in diverse organisational contexts, and the ability to scale delivery while preserving the practitioner-led approach that has characterised the centre's work.
Sources : roastbrief.us. Reported October 01, 2026.
