“Don’t waste time on AI for AI’s sake. Be motivated by what it will do for you, not by how sci-fi it sounds.” Cassie Kozyrkov, Chief Decision Scientist at Google
Understand your vision, problems, requirements & goals
Conduct various studies to gain services & process insights
Explore data quality, access issues & IT infrastructure
Risks, challenges, policy, high-level architecture & requirements
- Identify problems and AI opportunities
- Visualise the complexity of the systems
- Decompose system scope into primary functions and goals
- Understand issues, processes, user experience and challenges
- Gather functional requirements, data requirements and system specifications
- Project plan and high level architecture
- Monitor and accelerate AI delivery
Clinical analytics, early medical diagnosis, patient outcomes measurement, clinical decision support systems, treatment management, hospital administration, remote patient monitoring, Telemedicine and other AI healthcare solutions.
Fraud detection system, financial risk management, sales forecasting system, financial reporting software, mobile banking system, personal finance, payment systems, wealth management and other AI banking and fintech solutions.
Payment processing systems, insurance quoting system. mobile insurance application, claims management solution, commission management, insurance document or policy management, inspection tracker, and similar AI insurtech solutions.
Business process optimisation, document management, customer support, business intelligence and data analytics, and other AI solutions.
Property management, property forecasting, rental management, business process automation and other AI realtech solutions.
Sales forecasting, marketing management, personalise customer experience, customer sentiment analysis and other AI retail solutions.