Moving organizations from
AI experiments to systematic practice
AI transformation
strategy
AI adoption succeeds when people understand how to work with intelligent systems, feel confident using them, and see clear workflow value.
I help organizations bridge the gap between technical capability and human readiness, designing strategies that embed AI into day-to-day work and deliver measurable business outcomes.
Why the human lens matters
AI changes how people make decisions, how teams collaborate, and how work gets done. Adoption is not a tooling problem, it is a behavioral and workflow one.
A human-centered approach clarifies how people form mental models of AI, what enables trust, and how workflows must shift when intelligence becomes part of daily tools. This perspective guides my work to help teams use AI with confidence, clarity, and purpose.
Our services
CAPABILITIES
AI readiness assessment
Identify literacy gaps, trust barriers, workflow patterns, and capability levels through interviews and maturity mapping.
AI opportunity portfolio and prioritization
Identify high-impact use cases, evaluate feasibility and ROI, and build a prioritized roadmap that sequences pilots toward scale.
Adoption strategy and capability building
Design targeted training and enablement programs based on organizational maturity and real workflow needs.
Workflow integration and pilot design
Map where AI delivers value, run targeted pilots, and build lightweight agents and GPTs aligned with day-to-day tasks.
Behavioral tracking and measurement
Define adoption KPIs, measure sustained usage, and track cross-functional impact over time.
Recent example: Confidential Financial Association (2025)
100 employees across five departments moved from 23 percent to 67 percent regular AI use in 16 weeks.
APPROACH
Start with diagnosis
Interview leaders and teams, map readiness and workflows, and identify high-value opportunities before recommending solutions.
Design for readiness levels
Tailor interventions to different maturity groups to maximize impact and avoid one-size-fits-all programs.
Build literacy foundations
Establish core skills and mental models that improve accuracy, speed, and decision quality across functions.
Enable peer champions
Use peer-led examples and shared prompts to accelerate adoption with higher retention and lower change-management cost.
Integrate into real workflows
Embed AI where it drives measurable efficiency and quality gains instead of requiring teams to change behavior to fit tools.
Track behavior change over time
Measure usage patterns, capability growth, and workflow impact to ensure pilots translate into sustained ROI.
Marianne combines sharp insight with creative problem-solving and decisive action, making her a highly effective transformation leader.
– Andrew Chandler, Co-founder Tech start up, ex-citizenM, ex-McKinsey
Founder
Marianne van Ooij
I’m an AI strategist specializing in organizational transformation, workflow design, and human-system collaboration. My work helps teams move from experimentation to confident, responsible AI adoption by aligning intelligent technologies with real workflows, cultural dynamics, and strategic goals.
I focus on readiness assessment, change enablement, pilot design, and behavioral measurement. AI UX Navigator exists to support organizations moving into an AI-native way of working with grounded tools, methods, and case studies.
Core expertise
Organizational readiness · Change management · Workflow integration · Human–AI collaboration · Behavioral measurement ·
AI-enabled workflows