B2B
Refers to business-to-business transactions. In the AI field, it is a model that provides software, infrastructure, and APIs to improve enterprise productivity or solve business problems. The decision-making process is complex, and data security along with stable Service Level Agreement (SLA) guarantees are key.
Detailed explanation
Why It Matters in Tool Selection
When adopting AI, data security, integration with legacy systems, and long-term technical support capabilities must be reviewed. Since B2B solutions must be integrated into enterprise workflows rather than just providing simple functions, the provider's stability and data management policies determine the success or failure of the project.
What to Check
- Compliance with global security standards (SOC2, ISO 27001, etc.) and data privacy policies
- The scope of flexible API integration support with existing collaboration tools (Slack, Jira, ERP, etc.)
- Scalability according to workload increase and a transparent cost structure
- Provision of dedicated Technical Account Management (TAM) and specific compensation criteria in Service Level Agreements (SLAs)
Examples
Examples include enterprise generative AI solutions (ChatGPT Enterprise), AI-based supply chain optimization systems, and enterprise chatbot APIs for automated customer response.
Confusing Terms
B2C (Business to Consumer)
Targets general individual consumers, focusing on ease of use and providing immediate personal value.
B2G (Business to Government)
Targets governments and public institutions, adhering to strict public security standards and complex bidding processes.