WHY MOST TRANSFORMATIONS FAIL
The Gap Isn’t In The Technology.
Seventy percent of digital transformations fail to meet their objectives. The autopsy almost always reveals the same cause: not bad tools, but a failure of decision-making at the leadership level. That's the gap Data Sentinels was built to close.
70%
of digital transformations fail to deliver on their stated objectives: McKinsey, BCG, and Gartner all agree
#1
root cause of transformation failure: poor decision-making at the leadership level, not inadequate technology
56%
of executives cite data readiness, not technology, as their top barrier to AI adoption
97%
of C-suite agree AI will be transformative; yet most lack governance frameworks to adopt it safely
WHAT WE DO
Three Ways We Work.
Mining & Enterprise Transformation
MULTI-YEAR · IMPLEMENTATION-LED
For mining operations and large enterprises that need more than advice. Data foundation, AI deployment, workforce capability building, and handover: each phase tied to a measurable outcome.
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Data Foundation Audit and Integration
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AI Models tied to savings mechanisms
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Workforce capability building
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Embed and handover: no dependency
Advisory Engagements
STRUCTURED · DEFINED DELIVERABLES
For leadership teams who need a structured intervention: a diagnostic, a framework, or a roadmap: without the commitment of an ongoing retainer. Defined scope, clear deliverable, board-ready output.
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AI Governance Diagnostic
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Transformation Readiness Assessment
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Decision Architecture Design
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Stalled Transformation Diagnosis
Fractional CDO
ONGOING RETAINER · SENIOR LEADERSHIP
Board-level data and transformation leadership without the full-time hire. Nono embedded in your strategy monthly, available when decisions need to be made. Prevents expensive mistakes before they happen.
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Monthly strategic sessions with Nono
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AI and vendor evaluation using the SPACE Test
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Quarterly board-ready reporting
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On-call access for time-sensitive decisions
STRUCTURED ENGAGEMENTS
Pick Your Starting Point
PROPRIETARY IP
The Frameworks Behind Every Engagement
SPACE
AI ADOPTION TEST: APPLIED TO EVERY TOOL EVALUATION
Before any AI tool gets recommended or deployed in a client organization, it passes the SPACE Test. Five criteria. No exceptions. This is how we protect clients from expensive distractions dressed up as innovation.
S
Solves a Real Problem
Is there a documented business challenge this addresses?
P
Practical
Can your team realistically adopt and sustain it?
A
Accurate
Does it produce outputs you can trust and verify?
C
Compatible
Does it fit your existing data and systems architecture?
E
Ethical
Does it meet your governance, privacy, and bias standards?
FILTER
OPPORTUNITY EVALUATION: USED TO PRIORITISE TRANSFORMATION INITIATIVES
Not every transformation initiative deserves leadership attention and capital. The FILTER Framework helps organizations evaluate which opportunities to pursue, sequence, or decline: protecting time, capital, and momentum.
F
Financial Proximity
How directly does this impact revenue or cost?
I
Identity Alignment
Does it align with what the organization is built to do?
L
Leverage
Disproportionate value relative to effort?
T
Time Cost
What does leadership actually have to give?
E
Evidence of Seriousness
Genuine commitment: or just enthusiasm?
R
Risk Profile
What’s the downside if this stalls or fails?