Shaili Gupta

Key Takeaways Enterprise AI development costs vary based on complexity, data readiness, integrations, infrastructure, and compliance requirements. The initial development cost is only one part of the overall AI investment. A lower…

Key Takeaways AI development is moving beyond the research phase. Businesses now want practical AI solutions that integrate with current systems, with demonstrable business value. When you are evaluating potential…

Key Takeaways Build when a capability creates genuine competitive differentiation, and you can own it long-term.  Buy when the capability is becoming standardised, and speed matters more than customisation.  Choose…

Key Takeaways AI ROI includes the direct and indirect costs associated with your AI initiatives, but more importantly, the growth in Revenue, productivity, efficiency, customer satisfaction and the strategic business value the…

Key Takeaways How do CEO’s demonstrate ROI on AI investments in the business rather than in the CIO’s department’s tech spend?  Best AI investments are not those that use the most advanced…

Key Takeaways AI Governance is the confluence of the right people, processes, technology, risk controls, and accountabilities, all aimed at building and deploying AI responsibly throughout the enterprise. Governance guidelines…

Key Takeaways An integrated journey from business strategy, readiness, use case prioritisation, building the foundations, piloting, going live and then scaling. Core phases of AI Transformation: North Star → Readiness…

Key Takeaways AI projects fail more often from organisational and strategic weaknesses than from model capability. McKinsey and MIT’s research both point to the same conclusion using different methods. Every…

Key Takeaways An enterprise AI adoption framework helps turn AI ideas into measurable business results. AI creates value when it is built into real workflows, supported by good data, clear…

Key Takeaways AI readiness goes beyond technology; it requires alignment across strategy, data, people, processes, governance, and infrastructure. Assess readiness before scaling AI to identify gaps and avoid costly implementation failures. Evaluate…