FISGEM 2026 Riyadh, market entry for proprietary AI in regulated finance
A European deep tech laboratory had proprietary AI technology for large scale scenario simulation and needed a commercial market beyond academic and medical research. Wom.digital mapped cross sector applications, identified regulated finance as a priority and prepared the proposition for institutional finance audiences in Riyadh.
FISGEM 2026, the first International Conference on Finance, Innovation and Sustainable Growth in Emerging Markets, took place on 2 and 3 February 2026 at the College of Business Administration, King Saud University, Riyadh.
The conference connected King Saud University, University of Ottawa, Université Paris 1 Panthéon Sorbonne, Paris School of Business, Università Cattolica del Sacro Cuore and other academic and financial partners.
The Wom.digital assignment focused on commercialisation. The laboratory had proprietary AI technology capable of large scale scenario simulation, with existing applications in academic and medical research. Cross sector market analysis identified regulated finance as a priority because stress testing, risk modelling and capital requirement analysis already depend on scenario based decision making.
Commercialisation strategy for proprietary AI
Research credentials establish technical credibility. Commercialisation requires a defined buyer, a recurring professional use and an economic reason for adoption.
Wom.digital assessed sectors that already rely on large scale scenario analysis, buyers operating under regulatory or financial pressure, applications with measurable economic consequences and markets investing in relevant financial technology.
That analysis produced a shortlist based on use cases and purchasing logic, with regulated finance emerging as the strongest immediate opportunity.
Regulated finance as a market entry opportunity
Banks, asset managers and other regulated financial institutions already use scenario analysis for financial stability, portfolio exposure, risk and capital decisions. The laboratory’s simulation capability therefore matched an established professional requirement and a recognisable buyer base.
Wom.digital defined the proposition around financial applications that buyers already understand, using regulated finance terminology instead of broad AI claims. This created a direct link between proprietary technology and existing financial workflows.
Financial stress testing, risk modelling and capital requirements
FINANCIAL STRESS TESTING
Banks use adverse scenarios to assess the effect of economic and financial shocks on portfolios and institutions. Large scale simulation can expand the range of conditions available for analysis.
RISK MODELLING
Financial institutions model multiple variables when assessing market, portfolio and institutional exposure. Scenario simulation can support analysis across a wider set of possible outcomes.
CAPITAL REQUIREMENT ANALYSIS
Regulated financial companies assess capital implications across different risk conditions. Scenario simulation can support analysis of the financial consequences attached to those conditions.
These applications gave the technology a specific commercial position for banks, asset managers and institutional finance contacts.
The strongest commercial application came from a market with a recurring professional need for large scale scenario analysis.
Riyadh and the Saudi fintech market
Saudi Arabia formed one of the priority markets in the commercial analysis, together with Japan. Riyadh offered access to financial institutions, investors, academic finance specialists and a market with active fintech investment and institutional development.
The Saudi market also provided a relevant setting for presenting proprietary AI through financial applications, with stress testing, risk modelling and capital analysis offering recognised entry points for conversations with finance professionals.
FISGEM 2026 as an institutional entry point
FISGEM 2026 gave Wom.digital a relevant venue for presenting the finance proposition within an academic and institutional context. The conference programme covered financial innovation, corporate finance, sustainable finance, fintech and emerging markets, with King Saud University at the centre of an international academic network.
The event created access to finance scholars, policymakers and industry specialists in Riyadh, giving the project a professional audience already familiar with the financial applications identified during the market analysis.
Wom.digital work for the finance proposition
The engagement included:
Cross sector market analysis
AI commercialisation strategy
Fintech positioning
Regulated finance market entry
Financial use case analysis
Institutional finance messaging
Financial due diligence communication materials
Saudi Arabia market prioritisation
Japan market prioritisation
FISGEM 2026 selection as a Riyadh entry point
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