Dr Stéphanie Camaréna
Responsible AI Futures
Lead designer for UN AI for Good (360+ participants). Creator of the Bottom-Up Engagement (BUE)® framework–engaging people where they actually work.
AI ADOPTION & SCALING
Make AI real. Start with people, systems, and clarity — not platforms.
We help organisations move beyond pilots and proofs-of-concept – aligning leadership, delivery and governance so AI can deliver real business outcomes at scale.
No sales pitches. No vendor bias. Just clear, accountable delivery for the AI age.
Why this matters now
Organisations are under pressure to "do AI", yet most pilots stall at production. Not because the technology is impossible – but because adoption is a people and delivery challenge. We help you build clarity, capability and control so AI moves from a project to a working system.
70%
Failures due to human factors
Planning, operating model, incentives and skills beat tooling alone.
89%
Pilots that don’t reach scale
Only 11% achieve enterprise deployment despite significant investment.
8 in 10
Leaders asking for clarity
What's worth solving now — and what can safely wait.
Who We Help — And How to Get Started
Business Leaders
Strategy, Transformation, Operations, Risk, People & Culture, Sustainability
Your Challenge:Board pressure to "do AI" without clarity on ROI, business impact, or risk. You need strategic direction without vendor noise.
What We Help You Achieve:Strategic clarity and bottom-up validation before major investment. Understand where AI creates genuine value versus where it's hype.
Your Starting Point:
AI Reality Check
Cut through hype and align on the 4–6 business realities that matter for your planning. Fast, focused conversation about what's real and what's needed.
Start a Clarity ConversationTechnical Leaders
CIO, CTO, CDO, Heads of Data/AI
Your Challenge:You've got pilots that work technically but can't scale organizationally. The gap between technical progress and business adoption is widening.
What We Help You Achieve:Bridge technical possibility with organizational reality. Build a durable operating model where AI becomes part of how work gets done.
Your Starting Point:
Readiness Sprint
Rapid co-sensing, operating model draft, risk/controls map, and your first AI Clarity Guide. Design the system of work with responsive agile coaching.
Co-Design Your Operating ModelCross-functional Executives
Change, Innovation, Digital, Legal, Compliance
Your Challenge:Aligning fast-moving AI initiatives with governance, ethics, change capacity, and workforce concerns. Innovation can't outpace responsible delivery.
What We Help You Achieve:Responsible adoption frameworks that enable rather than block. Address workforce anxiety while maintaining governance and compliance.
Your Starting Point:
Governance & Capability Sprint
Establish guardrails, participatory design processes, and change readiness through human-centered approaches that build psychological safety.
Build Responsible FoundationsHow We're Different: Human-Centered AI Adoption
We don't just consult — we coach, train, and transfer capability. Here's what makes our approach unique:
🎯
Responsive Agile Coaching
We train, coach, and mentor your teams in real-time, adapting to your context as it evolves. This isn't generic training — it's contextual skill-building where teams learn by doing.
Your people develop the capability to continue AI evolution long after we leave.
🛡️
Psychological Safety First
We create safe-to-fail experimentation environments where teams can learn from failures, surface concerns about AI's impact, and speak truth about what's working.
When people feel safe to experiment and voice concerns, adoption accelerates.
👥
Participatory Design
Employees closest to the work help identify AI opportunities and co-design solutions. Bottom-up discovery means adoption isn't mandated from above — it's owned from within.
Change sticks because people shaped it, not because consultants prescribed it.
🔄
Capability Transfer, Not Dependency
We design ourselves out of the job. Success means your teams can run, evolve, and scale AI adoption without us.
You own it. We transfer the capability to make it sustainable.
Why Source Agility
Not Big 4
We build working systems, not reports. We stay until it's in production, not until the contract ends.
Hands-on delivery, not slide decksNot Vendors
We adopt the platform you choose. No hidden agendas. No shelfware.
Platform-agnostic and unbiasedNot Top-down
People own what they co-design. Bottom-up engagement through participatory design means adoption sticks.
Employees shape solutionsNot Theory
UN, OECD, Telstra, NBN, NAB, MLC, KWM — we've done the real work in high-pressure environments.
Proven in complex contextsOur Approach: Business-First, Vendor-Agnostic
1
Co-sense the system
Short discovery to map value flow, demand, constraints, risks, and governance. Make the work visible across teams and functions.
2
Co-create the operating model
Roles, skills, controls, and rhythms of delivery. Balance human-centred adoption with clear accountabilities and guardrails.
3
Prove and scale
Stand up a thin slice in production. Measure outcomes, refine, and scale responsibly.
4
Transfer capability
This is capability building, not dependency. We design with you so your people can run it.
Who You'll Be Learning With
Lani Beer
Enterprise AI Innovation
Lani helps organisations turn AI ambition into capability people actually use. She blends strategic clarity with facilitation expertise to build the confidence, coherence, and system readiness needed for responsible, scalable AI adoption. She has led transformation across legal, financial services, insurance, and government – including achieving 72% AI adoption across a global law firm with zero compliance incidents, and designing AI experimentation labs connecting 50+ organisations.
Niall McShane
Delivery Systems & Agility
Founder, Source Agility; former lead of Telstra's Agile Coaching Academy. Two decades shipping working systems.
Common Questions
Why do so many AI initiatives lose momentum?
Because organisations start with the technology instead of the system of work. When roles, decision rights, and feedback loops aren't clear, pilots stall no matter how good the platform is.
How do we know where to start?
Every organisation has a different readiness profile. We begin with an AI Reality Check – not a readiness review or a maturity assessment, but a conversation about what's real and what's needed.
What makes this different from an AI strategy review?
We don't write roadmaps or sell tools. We design working systems, blending human-centred design, delivery discipline and responsible governance so strategy becomes something people can execute.
How is this different from vendor-led AI training?
Vendor training teaches tools. We build organizational capability through responsive coaching. Our focus is on workflow redesign, operating model transformation, and capability transfer.
What if our workforce is anxious about AI replacing jobs?
This is precisely why our participatory, human-centered approach works. When employees help identify opportunities and co-design solutions, they see AI as augmenting their work rather than threatening it.
How do you balance innovation with accountability?
By designing governance that enables speed rather than limiting it. When governance is designed well through participatory processes, it enables safe-to-fail experimentation.
What does success look like?
Clarity, confidence, and capability. Knowing where AI fits, what it takes to make it work, and what can safely wait — and having the internal capability to continue without us.
Ready to Move Beyond Pilots?
Private, curated discussions with Australian business leaders navigating AI adoption. Tell us where you are in your journey.
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