Artificial intelligence is rapidly transforming how work gets done across industries. According to McKinsey, up to 70% of business activities could be automated using existing AI capabilities, with the potential to generate $2.6 to $4.4 trillion in global economic value annually¹. These technologies are already enabling companies to draft content, write code, automate customer support, and accelerate R&D—unlocking massive gains in productivity and efficiency. As AI reshapes what's possible in knowledge work, companies that integrate it into operations can innovate faster and deliver greater value at lower cost.
For mid-market companies, the timing is ideal. Unlike large enterprises weighed down by legacy systems or startups still building scale, mid-sized firms have the agility to adopt AI swiftly and the operational maturity to deploy it meaningfully. A recent analysis emphasizes that digital transformation is no longer optional; mid-market firms must embrace AI to stay competitive as both digital-native startups and well-funded corporations leverage these tools to raise customer expectations and lower costs². By investing in AI now, mid-sized companies can future-proof their operations, streamline decision-making, and close the innovation gap without the high risk or overhead their larger peers face.
Sources:
1. McKinsey & Company. The economic potential of generative AI: The next productivity frontier. https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier
2. Kaufman Rossin. Why mid-market companies should embrace digital transformation and AI now. https://kaufmanrossin.com/blog/why-mid-market-companies-should-embrace-digital-transformation-and-ai-now
Identify potential obstacles before they become problems, ensuring a smoother AI adoption process.
Focus your investments where they'll have the greatest impact, avoiding costly missteps.
Get to market faster with AI solutions that are built on a solid foundation of readiness.
Create organizational buy-in with a clear, data-driven plan for AI implementation.