Home Our Practices The DIG Framework Learn Human-AI Equity & Agility Insights

In 2024, mid-market firms lost $655K per failed transformation. Global enterprises lost tens of millions. Why? Because people and systems weren’t aligned. DIG changes the story by embedding readiness, trust, and sustainability at the core of every transformation.

Book an Information Session

 

 

 

We’ve passed the point of no return.

Disruption isn't coming. It's already here. AI is no longer a future consideration it is the present reality reshaping how organizations operate, how teams collaborate, and how leaders make decisions every single day.

Yet even as organizations invest billions into AI adoption and digital transformation, most still collapse.

  • In 2026 70% of digital transformations still fail the rate hasn't improved despite billions invested
  • Global organizations are on track to waste $2.3 trillion on failed transformations
  • Global spending on digital transformation will reach $3.4 trillion by 2026  most of it at risk
  • 74% of failures stem from poor change management not technology
     

The truth? It's not a lack of ideas. It's not a lack of investment. It's not even a lack of AI capability. 74% of the time it's the human side that breaks it. That is where DIG begins.

It's the breakdown between human systems and AI systems.

 

Organizations are implementing AI without understanding the humans who must work alongside it their fears, their resistance, their emotional responses to change, and their need to feel safe, seen, and included in a transformation that will reshape their roles. That breakdown is where DIG begins.

“Innovation without emotional sustainability is a short-term strategy.”

Why I Created DIG

 

I’ve watched transformation after transformation collapse under its own weight. Not because leaders lacked vision. Not because teams lacked talent. But because the human side of change was treated as an afterthought.

I created DIG because I believe transformation should never come at the expense of people.

DIG was born out of frustration with the old playbook where resistance was labeled as a barrier, where culture was an afterthought, and where organizations mistook activity for adoption.

I wanted to build something different:

  • A system that reads resistance as a signal, not a setback.

  • A framework that aligns people, culture, and operations instead of tearing them apart.

  • A way of being that makes transformation measurable, human, and sustainable.

Today the most complex transformation challenge organizations face isn't digital. It isn't operational. It isn't even cultural in the traditional sense.

It is the emergence of AI and the profound, largely unexamined impact it is already having on how humans think, decide, work, and relate to one another.

DIG was built for exactly this moment. Not because AI is a threat to be managed but because the relationship between humans and AI is a system. And like every human system, it requires readiness, trust, and intentional design to work.

Organizations that implement AI without addressing the human side of that relationship are making the same mistake that has collapsed transformations for decades. They are treating the human as an afterthought.

DIG exists to make sure that never happens.

"DIG exists because I know organizations can thrive in complexity but only when people and systems are in harmony." - Britt Smith, Founder

That harmony now includes the relationship between humans and AI, and it is the defining challenge of our time. Explore the theory behind this work → Human-AI Relational Consciousness

What Is DIG?

 

DIG is the first Readiness & Sustainability System for Transformation.
It’s not another methodology. It’s not a toolset you drop in and hope sticks.
DIG is a human-centered system that ensures your organization is ready psychologically, culturally, and operationally before, during, and after change.

At its core, DIG is built on three phases:

  1. Discover → Clarify emotional and cultural readiness before action.

    In a human-AI transformation this means surfacing what people actually feel about AI. The fears, the resistance, the blind trust, and the ethical questions nobody is asking out loud. You cannot build a conscious human-AI relationship on a foundation of unexamined assumptions. Discover makes the invisible visible.

  2. Integrate → Co-create systems, rituals, and ethical AI-human partnerships.

    Integration isn't installation. It's the deliberate, collaborative process of designing how humans and AI will work together with clear values, ethical boundaries, and shared ownership of outcomes. This is where Human-AI Relational Consciousness moves from theory to practice.

     Grow → Track what's working. Scale what's meaningful. Evolve what's alive.

    In the age of AI, growth isn't just measured in adoption rates or productivity gains. It's measured in human flourishing alongside technological evolution. Are people developing new capabilities or surrendering them? Are they thriving or shrinking? DIG measures both because what gets measured gets designed for.

Unlike traditional frameworks that focus on ways of working, DIG focuses on ways of being. Ensuring people, culture, and operations move in rhythm not in conflict. It harmonizes people, culture, and operations so change isn't just implemented, it's sustained.

In the age of AI that distinction has never mattered more. Because you cannot program your way into a conscious human-AI relationship. You have to grow into it.

DISCOVER

Clarify emotional and cultural readiness before action.

INTEGRATE

Co-create systems, rituals, and ethical AI-human partnerships.

GROW

Track what’s working. Scale what’s meaningful. Evolve what’s alive.

 

“DIG doesn’t manage change. It makes change more human.”

The DIG Mindset

Ways of Being. Ways of Belonging. Ways of Growing.

  1. Humans are the heart of transformation, never collateral damage in the name of progress.
  2. Trust is not a byproduct of value delivery, it is the value.
  3. Change is a rhythm paced with care, courage, and compassion.
  4. Inclusion is belonging lived in every interaction. Not a policy.
  5. Cultural safety and operational clarity are the anchors of sustainable change.
  6. Emotional insight is not a soft skill, it is strategic intelligence.
  7. Technology must exist to serve humanity not consume it.
  8. Make space for resilience, reflection, and renewal, especially when the work is urgent.

What Makes DIG Different?

Where most frameworks stop, DIG listens deeper.

Most transformation frameworks are built to deliver outcomes.
DIG is built to sustain people and performance while delivering outcomes.

Instead of racing through phases, DIG slows down to ask:

  • How do people feel inside this system?

  • Where is trust being built or broken?

  • Are we designing for inclusion or assuming it?

How does The DIG Framework compare to others?

 

DIG doesn’t replace structure, it deepens it. And it brings systems to life by centering the people they’re built for.

 

Core Tools That Set DIG Apart:

THRIVE Metrics

Measure emotional health across trust, energy, inclusion, resilience, and engagement giving leaders real-time insight into what matters most.

MEB (Mental & Emotional Budgeting)

Track where emotional energy is being spent, leaked, or overdrawn then rebalance to support sustainable leadership and team resilience.

The HUMAN Model 

Design systems that support emotional sustainability, resilience, inclusion, and whole-person leadership not just surface-level safety.

CoValue Scoring

Evaluate the emotional and ethical resonance of your solutions ensuring outcomes are not only delivered, but felt as valuable by the people they impact.

"DIG is building trustable systems people want to stay in because they helped shape them."

What Human-AI Unreadiness Actually Looks Like

 

Most organizations believe they are ready for AI. Most are not. Not because they lack the technology  ut because they haven't addressed the human side of the relationship.

 

Here's what unreadiness looks like in practice:

Fear-driven avoidance

Teams quietly resist AI adoption because nobody has addressed what it means for their roles, their identity, and their sense of value. The resistance is neurological. The response needs to be human.

Blind trust and over-reliance

Leaders delegate decisions to AI without questioning the data, the bias, or the ethical implications. When AI decides, accountability disappears. That's not partnership that's abdication.

Ethical disengagement

"The AI recommended it" becomes a shield. Organizations stop asking who is harmed, what is encoded, and what values are being amplified. Ethical consciousness and decisions get outsourced.

Lack of emotional awareness

Leaders implement AI without understanding how their teams feel about it. This creates anxiety, and  Emotion doesn't disappear in digital transformation. It goes underground and becomes resistance.

Siloed adoption

AI gets implemented in one department while the rest of the organization scrambles to keep pace. Sound familiar? It's the same mistake organizations made with Agile. The technology moves. The humans don't. The gap widens.

No shared language or values around AI

Teams are using AI differently without a shared ethiacal framework for what's appropriate, and what's off limits. Without this organizations can't build trust with AI.They can only react to it.

If any of these sound familiar that's not a technology problem. That's a human systems problem. And that's exactly what DIG is built to address.

The Theory Behind the Framework

DIG doesn't exist in isolation. It is the operational expression of a deeper belief. That the relationship between humans and AI is the defining human systems challenge of our time. It sits at the heart of how HCA understands the Future of Work and what it demands from leaders, organizations, and the systems they build.

Human-AI Relational Consciousness

It's a the theory introduced by Britt Smith, Founder of Human Centered Agility, that frames the human-AI relationship not as a technology problem but as a relational one.

It asks not just "how do we use AI" but "who are we becoming in relationship with it and what responsibility do we carry for what it becomes alongside us?"

DIG is how that theory becomes practice. It is the readiness and sustainability system for organizations ready to engage with AI consciously relationally, ethically, and with full awareness of what is being co-created.

Because the alternative, implementing AI without addressing the human systems around it, is the pattern that has already cost organizations trillions.

Explore the full theory 

Human-AI Relational Consciousness

Get the DIG White Paper

 

Explore how the DIG Framework brings emotional sustainability, trust, and inclusion into the heart of AI-powered transformation.

Inside, you’ll discover:

  • Why emotional sustainability is the missing link in AI-powered transformation

  • A deep dive into the Discover → Integrate → Grow model

  • Practical tools like THRIVE, MEB, and the HUMAN Model

  • An illustrative case showing how DIG could rebuild trust during a healthcare AI rollout

  • A clear call to action for leaders ready to evolve with empathy and intention

Discover the White Papee