Most organizations hemorrhage AI ROI because they invest in tools but starve the enablement layer—the connective tissue between innovation and business value.
AI is fundamentally transforming how organizations develop and deploy technology. Dr. Hernani Costa presents a framework dividing the AI ecosystem into three interconnected roles: Builders create the foundation, Consumers drive adoption, but Enablers—the unsung architects of successful AI strategy—determine whether investments actually compound into competitive advantage.
Builders: The Architects
Builders—engineers, inventors, and coders—create the foundational AI systems and tools. Companies like OpenAI and NVIDIA exemplify this role, developing models and platforms that push technological boundaries. Their work requires vision and experimentation to create scalable, robust solutions.
Example: Philips integrated AI into medical device manufacturing, using quality control systems to ensure compliance while optimizing supply chains and reducing production costs. This represents the Builder's core function: translating research into deployable infrastructure.
Consumers: The Drivers of Adoption
Consumers represent businesses and individuals leveraging AI to improve operations. They identify practical applications and drive market adoption through real-world use cases. Without Consumers, Builder innovation remains theoretical.
Example: PostNL deployed machine learning for parcel sorting optimization, reducing processing times by 30% while maintaining service quality at distribution centers. This demonstrates how Consumer organizations extract measurable business outcomes from AI capabilities.
Enablers: The Critical Bridge (The Missing Layer)
Enablers represent the often-overlooked third category—educators, consultants, policymakers, and translators who connect innovation with practical implementation. They ensure groundbreaking technology actually achieves its potential and compounds into organizational capability.
This group includes:
- Educators and trainers building internal competency
- System integrators adapting solutions to enterprise context
- Policy advocates establishing governance frameworks
- Business-technical translators bridging the semantic gap between C-suite strategy and engineering execution
Example: Rotterdam's construction sector benefited from enablers implementing Autodesk Construction Cloud. Trainers and consultants helped teams adopt predictive analytics, reducing project delays by 20%. Without this enablement layer, the platform would have sat idle—a $500k+ sunk cost.
This is the AI Readiness Assessment in action: identifying where your organization has capability gaps and designing the intervention strategy to close them.
Strategic Implications: The Enablement ROI Paradox
Many organizations focus heavily on acquisition or development but neglect enablement strategy—the layer ensuring actual adoption and value extraction. Successful implementations invest significantly in this intermediate function because it's where theoretical capability becomes operational reality.
The data is clear: organizations that treat enablement as a cost center (training budget line item) see 40-60% lower adoption rates than those treating it as a strategic capability (dedicated enablement teams, change management budgets, governance frameworks).
What this means for your P&L:
- A $2M AI platform with zero enablement strategy = $2M stranded asset
- A $2M AI platform + $400k enablement investment = 3-5x faster ROI realization
Organizations should:
- Develop enablement strategies addressing the gap between capabilities and utilization
- Cultivate internal champions who become force multipliers for adoption
- Invest in practical training tied to business outcomes, not feature checklists
- Measure adoption metrics as rigorously as you measure technical performance
- Establish AI governance frameworks that reduce organizational risk while accelerating deployment
The organizations winning in AI aren't those with the best models—they're those with the best enablement infrastructure. They've built the "Executive Nervous System" that translates AI capability into business equity.
Written by Dr. Hernani Costa | Powered by Core Ventures
Originally published at First AI Movers.
Technology is easy. Mapping it to P&L is hard. At First AI Movers, we don't just write code; we build the 'Executive Nervous System' for EU SMEs—the enablement infrastructure that transforms AI strategy into operational reality.
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