Incentivize Your Delivery

The INCENT framework emphasizes motivation and measurable results, while keeping the focus on both technical execution and business transformation. This structure works well if you're looking for a process that is result-oriented and highlights continuous improvement and organizational adoption. 

•  I - Identify: Identify client needs, goals, and potential AI opportunities. This phase involves discovery sessions, gathering requirements, and understanding the client’s pain points to ensure the AI solution targets the right areas.
• N - Navigate: Navigate through data and technological constraints. This step is about assessing data readiness, selecting the right tools and determining the most suitable AI models for the problem.
• C - Create: Create and design the AI solution for Proof of Concept. Here, the focus is on building, training, and fine-tuning AI models, ensuring they are aligned with business objectives and that any challenges in implementation are addressed.
• E - Execute: Execute the solution by deploying the AI model and design. This involves implementing the system in the client’s environment, performing thorough testing, training, documentation, ensuring transparency and readiness for a seamless transition to production.
• N - Nurture: Nurture the AI solution post-launch. Monitor performance, gather insights, make continuous improvements to ensure the solution delivers sustained value and adapts to any evolving needs.
• T - Transform: Transform the client’s culture and business through data-driven insights and seamless automation. This final step ensures that the AI solution leads to measurable outcomes and enhances the overall operational efficiency and decision-making of the client.