Jeffrey Tjendra
Mar 3, 2025
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.
Make AI work at work
Learn how Shieldbase AI can accelerate AI adoption with your own data.