Transforming Small Businesses 2025
Page 45 of 54 · WEF_Transforming_Small_Businesses_2025.pdf
Conclusion
and call to action
The IMPACT AI framework provides
a roadmap to position India’s SMEs
as leaders in the AI-enabled world.
Anchored in creating awareness, inspiring
action and receiving recognition, the framework
provides pathways for key stakeholders to drive
transformation. Each has a distinct role to play.
Governments (central, state and local) can:
–Enable technology centres as AI experience
centres. Governments must build on
the Ministry of Micro, Small and Medium
Enterprises’ proposed network of 100
technology centres by integrating AI sandboxes,
co-innovation hubs and experience centres
for AI demonstrations and experiments.
–Build capacity. Align governments’ AI
programmes for SME entrepreneurs, reskilling
programmes for the shopfloor workforce and
talent strategies for SMEs.
–Promote digital public infrastructure. Link
initiatives such as the AI solutions platform
and Udyam portal with ONDC to create
a unified digital ecosystem for AI solutions.
–Create incentive programmes. Roll out
programmes that provide financial support such
as subsidies, tax breaks and grants to de-risk AI
adoption for SMEs.
–Fashion recognition programmes. Central
government must lead the SME AI pioneer
initiative that seeks to identify and celebrate
early adopters.
MSME entrepreneurs must:
–Assess AI readiness: Evaluate your current
digital and AI maturity to understand where
to begin. Take incremental steps to develop
AI readiness.
–Identify high-impact use cases: Focus on
pressing business challenges where AI solutions
can deliver measurable benefits.
–Engage with local ecosystems: Participate in
cluster initiatives, AI sandboxes or technology
centres to access shared tools, training and
peer support. –Invest in skills: Upskill yourself and your
workers with basic AI and digital training
to build internal capability.
–Monitor impact and share learnings: Document
outcomes and share learnings to inspire others
and attract visibility as an AI-ready enterprise.
AI start-ups should:
–Develop accessible AI tools. Design plug-and-
play AI solutions for SMEs and position them
in the AI solutions platform. Solutions must
be developed with a focus on affordability,
ease of use and modularity for specific
business challenges.
–Collaborate on AI sandboxes. Partner with
research institutions and SME clusters to
validate AI solutions, ensuring they meet the
practical needs of small businesses.
–Expand e-commerce AI solutions. Use
ONDC to scale AI-enabled platforms for SME
exports, integrating features such as inventory
optimization, payment reconciliation and
compliance automation.
–Foster AI ecosystem innovation. Actively
participate in collaboration hubs to co-create
solutions with academia, government and SMEs,
ensuring scalability and domain relevance.
Research institutions will:
–Facilitate applied research. Create frameworks
for evaluating AI maturity, identifying best
practices and measuring the impact of AI
adoption on SMEs.
–Drive workforce transformation. Design reskilling
programmes and explore how AI tools can be
used to upskill SME entrepreneurs and workers
for future roles.
–Mentor start-ups. Provide domain expertise and
collaborate on pilot projects to accelerate the
adoption of AI solutions validated in sandboxes.
–Develop AI experience centres. Partner with
the government to create virtual and physical
AI experience centres for SMEs that align with
global models such as Fablabs.39
Transforming Small Businesses: An AI Playbook for India’s SMEs
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