As per my experience, most people focus only on top brands or general names in the industry but the real deciding factors go much deeper than just popularity or a portfolio.
1. Domain-specific AI capabilities: A firm great at chatbot integration may not necessarily excel at AI in logistics optimization, healthcare diagnostics\ or manufacturing predictive models.
2. Integration with legacy systems: Many developers can build an AI model but very few can integrate it cleanly into your CRM, ERP or existing infrastructure.
3. Ethical AI & explainability: Businesses that require transparent AI decision-making (financial or HR-related platforms) should avoid black-box solutions & demand interpretable models.
Real-World Example
At Impero IT Services, we recently worked with a U.S.-based mental wellness platform where we developed an AI-powered mood prediction engine. it was:
Integrating it with user behavior logs
Maintaining HIPAA compliance for user data
And delivering real-time insights through a mobile interface.
It improved user retention by 37% over three months.