Filtered’s Post

Every company is eager to dive into AI—but almost all are equally concerned about the risks. (10-page booklet below. Full article is on Filtered's blog.) On one hand, AI promises revolutionary results—faster decisions, better data insights, and staying ahead of the competition. But on the other, many businesses are worried about potential reputational, legal, and operational risks. We see this tension in almost every corporate conversation about AI: ❗ Data security breaches ❗ Bias and discrimination ❗ Job displacement ❗ Lack of transparency ❗ Misalignment with company values and policies These risks are real and serious, but they needn’t be show-stopping blockers. To reduce AI risk, your organisation will need to pay attention in these three areas: 💡 AI education and governance—make sure your workforce understands your AI ambitions and the risks involved. That also means being clear on your firm’s AI ambitions! 💡 Better data management—AI depends on good data, so prioritise the management of and education about data. 💡 Good old project management—AI initiatives need clear goals, human oversight, and common sense. But perhaps the safest and surest approach to AI adoption isn’t running the AI projects yourself. The best way to avoid risk is to appoint a trusted AI supplier. Have them operate the AI and deliver the insights your organisation needs—without exposing your company to direct risks. This way, you gain all the advantages of AI while ensuring the process is safe, well-managed, and aligned with your goals. If they’re a good, trustworthy, collaborative supplier, they should also be able to marry up their results with other experiments you may be conducting. 🦾 What steps are you taking to integrate AI into your business? Which suppliers do you trust? How did you come to trust them? ♻️ Found this useful? Please share to help others in your network navigate AI safely. 📌 Follow Marc Zao-Sanders for more insights on AI, productivity & tech.