We began by experimenting with AI in our own creative and operational processes. Before long, our clients started asking to help them harness AI in their own businesses. Out of those conversations, we developed a suite of education, advisory, and product development services designed to help businesses build confidence with AI and unlock tangible results.
Our approach is practical and human-first:
- We start by understanding your business model, customer journeys, and internal workflows.
- We identify where AI can create efficiency, enhance creativity, or enable new opportunities.
- We run skills and knowledge gap analyses to prepare your teams.
- We reframe AI as a recursive utility—a system that evolves with your input—rather than a fixed tool.
- We then develop a strategic adoption framework, focusing on quick wins and ROI at the margins so you realise value before committing major capital or organisational investment.
AI Advisory Methodology
Our methodology helps organizations understand, adopt, and scale AI confidently. It is designed to align technology with business outcomes, build cultural readiness, and deliver measurable value through an incremental, adaptable approach.
Each stage is designed to deliver standalone value. Progression to subsequent stages is optional
and depends on the success of the preceding stages.
Our guiding values
Our framework is built on five core values that ensure AI adoption is not only possible but sustainable:
- Autonomy: Empower teams and individuals to take ownership, adapt quickly, and act with confidence within clear governance.
- Modularity: Build with interchangeable components so improvements can be made without disrupting the whole.
- Incremental Progress: Move forward step by step, reducing risk while building confidence through visible results.
- Connectivity: Ensure people, systems, and processes are integrated, enabling real-time information flow and collaboration.
- Openness: Use transparent practices, interoperable tools, and shared standards to avoid lock-in and encourage innovation.
These values underpin every stage of our advisory process, guiding both the cultural and technical dimensions of AI adoption.
We begin with introductory workshops that establish the right cultural foundation.
- Pre-workshop questionnaires help us tailor sessions.
- Confident participants are paired with less confident ones for peer support.
- With larger firms, we work with HR to ensure culture and attitudes are aligned.
Focus: Build trust, transparency, and empowerment from the outset.
Format: Initial 60–90 minute workshop. This can be for leadership/cross-functional executives or for a single ‘champion’ department or group of leaders. Subsequent workshops are added as required (for functional business units).
We evaluate the organization’s current state across people, processes, and technology.
- Map existing systems and integrations.
- Identify organizational bottlenecks and legacy dependencies.
- Assess cultural readiness for experimentation and change.
Focus: Create visibility across silos and surface friction points.
Format/Process: Questionnaires, interviews, and observation.
We run collaborative workshops to map existing workflows and processes.
- Identify high-friction activities.
- Spot modular opportunities for AI or automation without large-scale disruption.
Focus: Treat workflows as building blocks that can be independently improved.
Format: Interactive workshops with cross-functional teams.
We align leaders across functions by framing opportunities, costs, and benefits in business-specific language.
- Finance: ROI, cost reduction.
- Marketing: speed to market, personalization.
- Operations: automation, resilience.
Focus: Encourage distributed ownership while ensuring shared priorities.
Format: Report and presentation of findings from Stages 1–3, tailored for leadership and functional teams.
We launch low-risk, high-impact pilots that deliver measurable outcomes. For example:
- Intelligent routing in customer service.
- AI-driven personalization in commerce.
- Automated reporting in finance.
Focus: Start small, prove value, and build momentum step by step.
Format: Initial pilots with cycles of testing, learning, and iterating.
AI adoption is not a one-off project, it is an ongoing capability.
- Introduce governance that balances decentralization with shared standards.
- Build internal skills such as API literacy, modular design, and experimentation.
- Encourage a culture of testing, learning, and adapting.
Focus: Design for evolution, not fixed outcomes.
Format: Ongoing check-ins and advisory support on a weekly or monthly cadence, as required.
With foundations in place, we scale adoption strategically across the enterprise.
- Document and share early wins.
- Expand adoption across workflows and business units.
- Create a culture of innovation at the edge, supported by leadership.
Focus: Enable teams to own their services while staying aligned to enterprise strategy.
Format: Tailored programs based on organizational needs, building on proven successes.
This methodology transforms AI from a buzzword into a practical driver of business growth and adaptability. Organizations gain clarity, confidence, and momentum, moving from experimentation to enterprise-wide impact at their own pace.
What We Offer
AI Education & Mindset Workshops
Advisory & Strategy
Low-Code AI Automation
Custom AI Applications
Native LLM Integration
Why Monet Media?
- Strategic + Creative DNA: We unite world-class marketing, design, and technology to deliver AI strategies that inspire and perform.
- Fast-to-Value: We prioritise pilots and prototypes that generate ROI early.
- Scalable & Sustainable: Every project is built to grow with your business, not just solve today’s problem.
- Proven Execution: From campaign automation to custom AI platforms, we’ve delivered solutions for brands across industries.
