AI Adoption Model
Align
Strategic Alignment and Business Value Definition
Goal:
Anchor AI adoption initiatives directly to enterprise business strategy, measurable outcomes, and functional priorities, not technology experimentation.
Key Activities:
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Executive vision alignment workshops
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Business objective and success criteria definition
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Strategic use case prioritization
Connect AI initiatives to business strategy, outcomes, and functional priorities.
Assess
Business, technology, and workforce readiness assessment
Goal:
Assess the current state of enterprise AI readiness across people, processes, data, and culture.
Key Activities:
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Workforce capability including AI maturity: current understanding, usage, and openness to AI tools
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Business workflows
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Data hygiene
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Business readiness
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GERC frameworks
Evaluate enterprise readiness across people, process, data, and culture with a deep workforce capability lens.
Pilot
Funnel for all Pilot Design & Execution
Goal:
Consolidate all internal AI use cases. Design AI pilots based on specific strategic outcomes with clear pre-pilot, during-pilot, and post-pilot measurement strategies.
Key Activities:
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Design horizontal and vertical pilots based on strategic goals
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Use case prioritization
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Pilot adoption rate tracking
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Business outcome realization assessments
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User experience feedback and trust metrics
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GERC frameworks
Design and execute strategic AI pilots with built-in adoption, impact, and user feedback metrics.
Scale
Phased Workforce Enablement and Enterprise Rollout
Goal:
Scale AI adoption across the organization aligned with strategic goals and pilot results.
Key Activities:
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Phased rollout plan based on business priorities
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Intense OCM activities, and role-based communications & training
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Awareness and trust-building programs to address resistance: incentive programs, change championships, peer coaching
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GERC deployment
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CoE fully on board; measurement metrics fully activated
Scale AI adoption in phased waves, supported by role-based enablement and tailored workforce learning paths.
Sustain
Cultural Reinforcement and Long-Term Adoption Management
Goal:
Embed AI into daily operations and organizational culture to ensure long-term adoption. Ensure AI adoption is an evolving enterprise capability reinforced iteratively.
Key Activities:
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Dashboards for periodic workforce adoption audits
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Regular re-assessments of workforce AI capabilities
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Governance model evolution to support maturing policy needs
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Incentive alignment to reward effective AI use and innovation
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Continuous improvement loops back to the assessment phase, via feedback
Embed AI into culture and operations through behavioral reinforcement, governance evolution, and continuous optimization.
WHY OUR ADOPTION MODEL WORKS
The Caspius AI adoption model is grounded in the latest research about enterprise AI adoption, business readiness, and workforce behavior, and guided by real-world metrics that drive accountability at every step.