Financial AI Marketing in Indonesia Must Prioritize Regulatory Compliance and Consultative Sales Approaches

Multitech Publisher Rabu, Juli 15, 2026
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FORMOSA NEWS - Jakarta - Financial institutions in Indonesia are demonstrating a highly cautious yet strategic approach when adopting Generative Artificial Intelligence (GenAI) platforms. New research conducted by Claudien SM Hutapea and Atik Aprianingsih from Institut Teknologi Bandung (ITB) in 2026 reveals that corporate purchasing decisions for enterprise AI platforms within the Indonesian banking sector are universally driven by multi-stakeholder consultative processes. The findings of this study are critical for global AI providers, as the national AI market is projected to grow rapidly, contributing approximately USD 366 billion to Indonesia's Gross Domestic Product (GDP) by 2030, despite being currently hindered by significant operational adoption gaps.

Regulatory Compliance as the Primary Driver

Despite Indonesia's massive digital economic potential, industry data indicates that 53% of Chief Executive Officers (CEOs) in Indonesia have not yet integrated generative AI into their organizational operations. The primary barriers identified include regulatory uncertainty (75%), technological capability constraints (63%), and skilled labor shortages (61%). These challenges drove the urgency for the ITB researchers to map out corporate procurement behaviors.

The implementation of the National Artificial Intelligence Strategy (Stranas KA 2020-2045) and the issuance of AI Governance Guidelines for Indonesian Banks by the Financial Services Authority (OJK) demand strict compliance. These external dynamics force financial institutions to prioritize data security and legal alignment over raw computing performance when evaluating technology vendors, such as BlueCore’s AI platform.

A Straightforward Methodology to Read Market Needs

To dissect this phenomenon, the researchers employed a mixed-methods qualitative and quantitative research design using a triangulation approach. They conducted semi-structured interviews and structured questionnaires with nine strategic respondents representing small, medium, and large-scale financial institutions in Indonesia. The respondents held key decision-making or senior influencer roles, including CEOs, Chief Financial Officers (CFOs), Chief Technology Officers (CTOs), IT Directors, and Strategic Managers.

All collected data were analyzed using comparative business frameworks, such as the Buygrid Framework to track the eight stages of the procurement process, and the Quantitative Strategic Planning Matrix (QSPM) to formulate marketing priorities for technology providers.

Five Key Findings on Banking Purchasing Behavior

Based on the primary data analyzed by the ITB research team, five key facts outline how national banks select corporate AI platforms:

  1. Decisions are Absolutely Consultative: All banking segments (100% of respondents) implement a consultative decision-making process involving cross-functional departments, spanning business users, finance teams, digital/technology departments, and executive management.
  2. Dominance of Environmental Stimuli: The vast majority of procurement decisions are heavily influenced by environmental factors, particularly OJK's strict regulatory compliance requirements and competitive market pressures.
  3. Bifurcation by Corporate Scale: Small enterprises approach GenAI acquisition as transactional buying highly sensitive to competitive pricing. In contrast, medium and large enterprises view GenAI as a strategic long-term infrastructure investment that prioritizes service quality.
  4. Performance-Based Specifications: Medium and large financial institutions do not focus on technical coding details, but rather prioritize measurable business outcomes, such as productivity improvement, operational efficiency, and return on investment (ROI).
  5. Live Demonstrations Yield the Highest Impact: Through QSPM matrix testing, the top-priority marketing strategy for technology providers is maximizing proprietary platform capabilities through live demonstrations and providing tailored AI solutions.

Strategic Recommendations and Policy Impact

This study offers substantial practical implications for businesses and the development of national technology. To win over the highly governance-sensitive Indonesian banking market, technology platform providers are advised to adopt a "Governance-First Positioning" strategy. The sale of AI products must begin by proving that the system is secure, features high explainability, and complies fully with Indonesian laws.

Furthermore, a "Modular Adoption Staging" approach is highly recommended to minimize the perceived investment risk for banks with lower technological maturity. Implementing this tactical roadmap is expected to bridge the technology adoptions gaps, accelerating digital sovereignty and operational efficiency in the public financial sector.

Researcher Profiles

  • Claudien SM Hutapea, S.T., M.B.A. is an expert in digital marketing and B2B technology procurement graduated from the School of Business and Management, Institut Teknologi Bandung (SBM ITB). She possesses deep expertise in organizational buying behavior analysis and the commercialization of cutting-edge technologies in emerging markets.
  • Dr. Atik Aprianingsih, S.T., M.M. is a senior lecturer and researcher at the School of Business and Management, Institut Teknologi Bandung (SBM ITB). Her primary fields of expertise include Strategic Management, B2B Marketing, and Digital Business Ecosystem Analysis in Southeast Asia.

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