/ Caso de sucesso /
Regional competitiveness: innovation policy and AI adoption at scale
- Public sector
- Regional innovation
- SME & industry
- AI strategy
Leading autonomous-region administration—aligning innovation funding, SME support, and sector programmes with a practical AI adoption path from pilots to portfolio governance.
Context
A regional government with a strong industrial and SME footprint sought to accelerate competitiveness through innovation policy—without reducing complex problems to one-off pilots. The goal was to connect funding instruments, sector priorities, and technology adoption in a way businesses and citizens could navigate.
Collaboration
We supported prioritisation and execution: mapping high-impact use cases (operations, customer service, knowledge work), structuring programmes so experimentation feeds repeatable patterns, and aligning data, skills, and vendor choices with proportionate risk management. The work linked economic development goals to concrete AI and automation initiatives that scale beyond demo stage.
Outcome
A coherent regional innovation narrative backed by actionable roadmaps—so public investment and private adoption reinforce each other, and AI is positioned as enabling infrastructure for growth and resilience, not isolated proofs of concept.