Here’s the 1 thing that is blocking AI from being adopted at enterprises.

DISTRUST

After speaking with a large number of executives globally, it’s crystal-clear that AI needs rules to be trusted.

Yes AI is so powerful that it’s transforming the workplace. But without clear rules, it will cause more harm than good.

💣 Slowed AI implementation from constant firefighting
💣 Missed opportunities for revenue generation and cost optimization
💣 Biased and discriminated output from the lack of data diversity
💣 Data privacy leakages from mishandling of sensitive data
💣 Security vulnerabilities that expose the system to cyberattacks
💣 Financial losses from unmanaged cost overruns in running AI ops
💣 Customer churn and reputation harm from negative customer-facing AI experiences

AI ethics is not just a buzzword. It is a necessity that we must ensure AI is used responsibly based on transparency and fairness. This means putting in place enforceable controls that enterprises can RELY on.

👍 Set clear guidelines how AI will be used at work and enforce them.
👍 Make your data ready to be used by AI.
👍 Involve diverse data sources and voices in decision-making.
👍 Ensure accuracy in AI-generated output with your data sources.
👍 High performance with quick processing and retrieval.
👍 Review, audit and update systems in the tech stack regularly.
👍 Manage expectations of stakeholders of potential mishaps.

TRUST is the cornerstone of successful AI adoption at enterprises.

💎 When your AI is trustworthy, your teams will embrace it. (AI literate talents)
💎 Then your customers will stay loyal. (NRR, revenue expansion)
💎 Then you will overshoot your goals. (Performance bonus anyone?)

Do the hard work first to make your life easier later. So make AI work at work.