Transforming Small Businesses 2025
Page 43 of 54 · WEF_Transforming_Small_Businesses_2025.pdf
2 Design an AI solutions marketplace
This initiative focuses on making AI accessible
and user-friendly for SMEs. Discovery tools enable
companies to find plug-and-play AI solutions for
use cases such as inventory optimization, customer
insights and predictive maintenance, which are
tailored to their needs. Transparent reviews on this
platform can build trust by offering feedback on
functionality, impact and user experiences, helping
SMEs make informed decisions. By reducing
complexity, costs and entry barriers, this initiative
inspires SMEs to explore and adopt AI technologies.
Such an AI solutions marketplace can also integrate
with India’s Open Network for Digital Commerce
(ONDC)38 to serve as the go-to platform for
MSMEs. By tapping into ONDC’s network and
capabilities, the AI solutions platform can position
itself as a one-stop solution for SMEs. The ONDC’s
decentralized framework offers an opportunity to
connect AI solution providers with SMEs, ensuring
accessibility and visibility. This integration will enable
small companies to:
–Discover validated AI solutions. SMEs will be
able to access a catalogue of cross-industry
and cross-functional AI tools, services and
products that have been verified and validated
through the AI sandboxes.
–Compare costs, subsidies and incentives.
Transparent cost-comparison features, as well
as government subsidies and incentives, can be
integrated into the platform.
–Review systems. Trust can be built through
user-generated reviews and ratings on AI tools,
creating a transparent environment.3 Identify alternative funding models
for AI investments by SMEs
For many SMEs, cost is one of the largest barriers
to AI adoption. SMEs operate with limited financial
capital and have low margins. While larger enterprises
can tap into robust cash flows or external capital,
SMEs often face capital constraints. To overcome
this, there is a need to identify alternative funding
models – supported by government programmes,
industry partners and financial institutions – that can
provide flexible and cost-effective ways to invest in
AI. Some options to consider are:
–Government grants and subsidies. Government
can offer tax credits for AI-related capital
expenditure undertaken by SMEs, directly
lowering the cost of adoption. Furthermore,
interest rate subsidies specifically designated for
AI investment can be channelled through public-
sector banks or institutions such as the Small
Industries Development Bank of India (SIDBI).
–Cluster-based financing. Groups of SMEs within a
cluster can pool resources and procure solutions.
This ensures greater bargaining power and lower
individual costs. Additionally, common digital
infrastructure such as compute credits or data
management platforms can be procured jointly or
made available at cluster sandboxes.
–Industry and corporate partnerships. Large
corporates in the supply chain of a sector can
sponsor AI adoption by smaller supplier SMEs.
CSR mandates can be used to allocate funds to
SME AI transformation projects.
–Specialized lending products. AI investments
have a longer return cycle. Banks and non-
banking financial companies (NBFCs) can
develop dedicated loan products for AI
investments with more flexible repayment
schedules and reduced collateral requirements.
These models can spread the financial burden of AI
investment among multiple stakeholders, making
the path to AI adoption for SMEs more collaborative
and sustainable. For many SMEs,
cost is one of the
largest barriers
to AI adoption.
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Transforming Small Businesses: An AI Playbook for India’s SMEs43
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