Artificial intelligence is making waves everywhere, but there's an unsettling reality: 63% of executives fear making the wrong decisions¹, while only 23% have a clear roadmap². Between the enthusiasm of early adopters and the paralysis of skeptics, how do you find your way?
Assessing the impact of AI on your business: the crucial diagnostic often overlooked
Everyone's talking about AI, but where to start? There's a huge gap between the hype and the reality. That's why it's important to conduct a methodical assessment before diving in.
An AI exposure diagnostic should cover five critical dimensions. First, risk of disruption exposure: can your business model be automated by AI? You need to analyze sector vulnerability, competitive positioning, and talent dependency. Some roles will evolve, others will be enhanced.
Next, the competitive advantage of AI: how can this technology set you apart? Innovation capacity, implementation agility, customization potential... AI isn't just an optimization tool; it's a strategic differentiation lever.
The third axis is operational resilience: can your infrastructure handle the impact? Technological adaptability, team transformation capabilities, organizational agility... AI relies on your existing foundations.
Fourth dimension: Data & AI assets. What do you really own? Data quality, priority use cases, monetization potential... Without data, and exploitable knowledge bases, even the most sophisticated AI is useless.
Finally, governance and compliance: how to regulate without stifling? AI Act, GDPR, risk management, ethics... AI must be integrated within a robust governance framework.
Three approaches to clarity
Eliminate the ambiguity. Stop navigating blindly. A diagnostic helps identify precisely the areas of impact: which roles? which processes? with what intensity? Sector benchmarks help contextualize and prioritize.
Break down silos. Discussions are often compartmentalized: legal on one side, tech on the other. However, the effects of AI are systemic and impact processes, teams, offerings, and skills simultaneously. Adopting a centralized management cockpit is becoming essential.
Integrate AI governance. Generative AI changes everything. It's no longer just an innovation issue, but a matter of comprehensive governance that affects the company's valuation. Like the ecological transition, AI maturity is becoming a performance indicator. Investors and partners are now scrutinizing these factors: dedicated governance, team training, data protection, documentation of experiments...
Understanding AI comprehensively remains complex. Breaking down business silos and integrating expertise to develop an overarching vision requires method and precision. Between those rushing in and those paralyzed, organizations that take the time to make the right diagnosis will gain a decisive advantage. The question is no longer whether AI will transform your sector, but to what extent you are prepared. And to act accordingly: turning uncertainty into a concrete action plan with clear priorities and an optimized budget.
Does this resonate with you? Let's talk!
¹ Source: KPMG "Global AI Survey 2023"
² Source: Bpifrance Le Lab 2023 Barometer
