AI Adoption & Scaling | Source Agility

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.

Find Your Primary Constraint Why This Approach Works

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.

54%

Leaders feel they're failing

Senior business leaders struggling amid AI's rapid growth and complexity.

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 Clarity Compass

A 2-minute diagnostic that surfaces your primary constraint and a practical pathway forward. Run it before our conversation so we can focus on the right problem from the start.

Technical Leaders

CIO, CTO, CDO, Heads of Data/AI

Your Challenge:

You've got pilots that work technically but can't scale organisationally. The gap between technical progress and business adoption is widening.

What We Help You Achieve:

Bridge technical possibility with organisational 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. We use the AI Clarity Compass output as the anchor for prioritising architecture and operating-model fixes.

Cross-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-centred approaches. We bring the AI Clarity Compass into these sessions so risk, legal, and change leaders see the same constraint data as delivery teams.

Try the AI Clarity Compass Start a Clarity Conversation

How We're Different: Human-Centred 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 decks

Not Vendors

We adopt the platform you choose. No hidden agendas. No shelfware.

Platform-agnostic and unbiased

Not Top-down

People own what they co-design. Bottom-up engagement through participatory design means adoption sticks.

Employees shape solutions

Not Theory

UN, OECD, Telstra, NBN, NAB, MLC, KWM - we've done the real work in high-pressure environments.

Proven in complex contexts

Our Approach: Business-First, Vendor-Agnostic

1

Surface the constraint

Start with the AI Clarity Compass to identify your primary blocker. Then we map value flow, demand, constraints, risks, and governance together.

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

Dr Stéphanie Camaréna
Responsible AI futures
Dr Stéphanie Camaréna

Building capability for responsible, human-centred AI futures - from AI overwhelm to purposeful innovation through participatory design.

Stéphanie helps organisations design AI that is responsible and human-centred. As Director and AI Innovation Lead at Source Agility, she creates space for people inside organisations to recognise what should - and should not - be pursued in AI adoption.

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With over 15 years centred on sustainability-driven transformation, Stéphanie brings global expertise as Lead Designer for UN AI for Good AI Futures workshops (360+ participants), OECD mentor, UNITAR expert, and Chair of IEEE SSIT Australia. Her Bottom-Up Engagement (BUE®) framework integrates systems thinking, futures design, and AI ethics.

Her work blends ethics, futures thinking, and clear communication, helping leaders move from fear and uncertainty to grounded, confident decision-making. Stéphanie is valued for her ability to simplify difficult conversations about risk, legitimacy and public expectation, making responsible AI feel achievable rather than overwhelming.

Lani Beer
AI adoption & transformation
Lani Beer

AI Adoption & Transformation | Innovation Strategy & Facilitation, Source Agility

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.

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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.

Lani specialises in making complex environments feel workable. She creates safe spaces for experimentation, learning and honest conversation, helping leaders build AI capability that is responsible, scalable and human-centred.

Niall McShane
Delivery systems & agility
Niall McShane

Founder, Source Agility - former lead, Telstra Agile Coaching Academy

As founder of Source Agility, Niall specialises in helping teams deliver work predictably and with less friction. He has spent more than two decades in delivery leadership roles with organisations such as Telstra, NBN, Bupa and Sydney Trains.

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He created Source Agility after years in the trenches, watching brilliant people trapped in broken systems and organisations with big missions stumble over their own complexity.

Niall is known for keeping conversations honest, cutting through noise and focusing leaders on the few moves that genuinely improve flow, capacity and confidence - especially as AI introduces new pressures.

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-

Start with the AI Clarity Compass - a 2-minute diagnostic that surfaces your primary constraint and a practical pathway forward. It's not a maturity assessment or a score; it's a fast way to focus the next executive conversation on the right problem.

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 organisational 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-centred 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-

Start with a 2-minute diagnostic to surface your primary constraint, then bring the output into the conversation so we can focus on the right problem together.

Try the AI Clarity Compass Start a Clarity Conversation

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