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[Good Business] Kasangkapwa in the advent of agentic AI

I require my students to use AI, and some have called this out in my teaching evaluations. My defense is that they will compete with and alongside these systems the moment they graduate, and exposure under supervision beats discovery under pressure.

Context & Analysis

The term agentic AI usually refers to systems that do not merely answer questions but can plan, use tools, and carry out multi-step tasks across software platforms. For Philippine businesses, that distinction matters because the technology is moving from experimentation into operational roles: drafting documents, handling inquiries, processing invoices, monitoring inventory, or supporting customer service. The practical question is no longer whether AI will be present in a workflow, but who remains accountable when an agent makes a mistake, accesses sensitive data, or interacts with a client without clear human oversight.

For small and medium enterprises, agentic tools may offer a way to stretch limited staff, especially in administration, sales follow-up, and basic compliance documentation. But adoption should be matched to the company’s risk profile. A consultancy, e-commerce seller, logistics firm, and fintech startup face very different exposures when an AI system acts on their behalf. The Philippines’ Data Privacy Act of 2012 remains the central legal reference for how personal information is collected, used, and shared, while sector regulators such as the Bangko Sentral ng Pilipinas, Securities and Exchange Commission, and Department of Trade and Industry will likely shape how AI-driven decisions are treated in banking, capital markets, consumer protection, and digital transactions.

For consumers, the upside may be faster service and lower costs. The downside is less transparency: an automated agent may make recommendations or reject requests without a clear explanation, and errors can scale quickly if not monitored. Businesses should therefore build simple safeguards now—documented approval thresholds, audit logs, vendor due diligence, employee training, and escalation paths for disputes.

The next signs to watch are not just new product launches but contract language, data-sharing practices, and whether local regulators issue clearer guidance on AI accountability. Companies that treat agentic AI as a supervised teammate rather than an unchecked shortcut will be better positioned when the technology becomes routine.

Analysis by IJE Software — original commentary on the story above.

This is an excerpt. Read the full article at the original source:

Source: rappler.com

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