🚀 The rapid rise of SaaS platforms offering cutting-edge AI solutions reshapes industries. Many of these startups are scaling fast and showing stronger resilience compared to those built on older tech foundations. But as exciting as this innovation wave is, it also brings strategic challenges. Some companies avoid engaging with these platforms in this dynamic landscape and stick to proprietary, in-house developments. Others take a different route, integrating third-party APIs to build flexible, orchestrated solutions. 📊 We need a robust strategy that systematically evaluates the adoption of AI-driven SaaS platforms. Yet, as highlighted in the chart 📈, many startups won’t make it past the early stages, leaving their clients vulnerable. The risk is real when partnering with startups, especially when most have less than three years in the game. Understanding the strengths of both in-house and third-party solutions is critical. #Innovation #SaaS #DigitalTransformation #AI #BusinessStrategy #TechRisks
Working with startups in their early stages is a risk, the data doesn’t lie, but the question that arises for me in order to establish a clear comparison is how many of those in-house developments also end up being an absolute failure, consuming time and resources, and creating an unfulfilled promise. Big hug Dimitris Bountolos !
📈 Elevating Commercial Finance & Equipment Leasing Companies | President at Foresight, a Finance-Focused Marketing Agency | 🚀 Growth Marketer, Digital Strategist, Transformation Architect & Awarded Brand Builder 🛠️
2moYou’ve captured an essential point about the balance between innovation and risk. How can companies effectively assess this risk while still pursuing innovation?