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Manila Times Business

AI/R launches platform that turns expert knowledge into Digital Twins, which already account for up to 72% of approved deliverables in projects

TwinForge converts the technical and industry knowledge of experienced professionals into intelligent agents embedded in the development workflow, establishing the enterprise AI category "Industry-Led Digital Twins” SAN FRANCISCO, Sept. 14, 2026 (GLOBE NEWSWIRE) -- AI/R, a technology company specialized in Agentic AI, announces the launch of TwinForge, a platform that converts the technical and industry expertise of professionals into Digital Twins specialized by role across the software develop

Context & Analysis

Agentic AI is moving beyond chat interfaces toward systems that can execute steps inside real business processes. The TwinForge announcement fits that shift, because it frames expert knowledge as a reusable operating asset rather than something held only in an individual’s head. For Philippine companies, the issue is not merely technology; it is institutional memory. Many service firms, manufacturers, banks, and government-related projects depend on senior engineers, auditors, compliance officers, and project leads whose judgment is hard to document. When those people move, retire, or are stretched across clients, quality can become uneven.

This matters because the Philippines competes globally on talent and service delivery, not just low cost. If firms can encode role-specific expertise into digital agents that assist drafting, reviewing, testing, or compliance checks, they may maintain standards while scaling teams. That could be especially useful in IT services, shared services, insurance claims, healthcare administration, logistics planning, and regulated industries where documentation is critical. For consumers, the benefit would appear as faster turnaround, fewer errors, and more consistent service, provided the systems are supervised.

Regulatory context is important. Any platform that processes personal information must comply with the Data Privacy Act and National Privacy Commission guidance. If used in banking, insurance, or financial services, it may also intersect with BSP and SEC expectations around governance, risk management, outsourcing, and consumer protection. The bigger question is accountability: when an agent contributes to a deliverable, who approved it, what data was used, and how can the firm explain the decision to clients or regulators? Philippine buyers should ask for audit trails, role-based access controls, clear human sign-off points, and evidence that the tool does not silently override professional judgment.

Watch next for local adoption patterns: whether agencies, BPOs, and industrial firms pilot these tools on defined workflows, what performance improvements they report, and how vendors handle intellectual property and confidential client data. The 72 percent claim in the headline is a useful benchmark to question, not accept blindly; it should be tied to specific project types, approval criteria, and comparison baselines. If digital twins become embedded in Philippine operations, the competitive edge will belong to firms that combine AI assistance with strong governance, local process knowledge, and a workforce trained to verify rather than simply rely on the machine.

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

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

Source: manilatimes.net

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