Market shifts, evolving customer behaviors, and regulatory changes can turn a once-powerful AI tool into a liability, Pallath says. Left unchecked, AI might produce outdated or even harmful results, eroding trust, revenue, and competitive edge, he says.
“Build dedicated teams to monitor AI performance, automate updates, and refine models continuously,” Pallath says. “Treat AI as a living system — one that thrives on iteration, learning, and proactive governance to deliver sustained value. Success isn’t just about deployment — it’s about long-term commitment to excellence.”
Ignoring responsible AI frameworks
One of the most dangerous oversights in AI implementation is neglecting to establish robust ethical frameworks, Pallath says. “Without clear guidelines for responsible AI use, organizations risk deploying biased algorithms, mishandling sensitive data, or pursuing problematic use cases that can trigger regulatory penalties and reputation damage,” he says.
