AutomationSG launches TIA-Ready Framework for trusted industrial artificial intelligence

^{ℹ️ Source: AutomationSG} TIA-Ready helps organisations begin with one defined industrial AI use case, assign accountability, manage risk, implement proportionate controls and build traceable evidence for responsible deployment..

SINGAPORE – 24 July 2026 – AutomationSG today launched the Trusted Industrial AI Ready (TIA-Ready) Framework at Automation SolutionGO! x Regional Industry Networking Conference (RINC) 2026, held at the Singapore Polytechnic Convention Centre. The launch was witnessed by Guest-of-Honour Mr Alvin Tan, Minister of State, Ministry of Trade and Industry & Ministry of National Development.

The industry-led readiness and recognition pathway is designed for companies deploying artificial intelligence in industrial automation, robotics, manufacturing and operational technology environments. It gives companies a practical way to begin with one defined AI use case, assess its risks, assign accountability, introduce appropriate controls and build evidence for responsible deployment.

The launch comes as Singapore expands practical guidance for trusted AI adoption. On 20 July, the Infocomm Media Development Authority released a Digital Twin for Enterprises Playbook, Transparency Guidelines for Generative AI Chatbots and new privacy-enhancing technology guidance, including federated learning. Together, these initiatives reinforce the need for enterprises to connect AI adoption with governance, cybersecurity, transparency, data protection and organizational readiness.

TIA-Ready complements these national initiatives by moving industrial AI governance to the point where an organisation first decides whether and how AI should be used. Before selecting data, building a model or conducting validation, companies define the intended purpose, foreseeable unintended uses, affected decisions, accountability, operational boundaries and acceptable risks for a specific industrial AI use case.

These upstream decisions determine what data is relevant, what controls are required and what testing must prove. Data may be secure and properly controlled but still be unsuitable for the intended purpose; similarly, a model may perform well against a test that does not represent the actual operating conditions or consequences. TIA-Ready connects management intent, data governance, testing and deployment within one bounded industrial use case.

Digital twins, AI-enabled robotics, predictive maintenance, machine vision and AI-assisted engineering increasingly combine data, software and physical operations. In these settings, an AI output can influence production decisions, equipment behaviour, quality, safety and customer commitments. Industrial companies therefore need controls that address both digital risks and real-world operational consequences.

The framework translates relevant Singapore and international guidance into a staged pathway for industrial deployment. It is benchmarked against ISO/IEC 42001, the international standard for artificial intelligence management systems, but is not a new standard, statutory approval or ISO certification scheme.

Companies can progress through the Managed, Governed and Ready stages. The approach is use-case scoped rather than enterprise-wide at the starting point, making it more accessible to small and medium-sized enterprises (SMEs), system integrators, manufacturers and industrial solution providers that need a structured first step before pursuing higher-assurance requirements.

TIA-Ready is based on an independent review of the evidence prepared for the defined use case. The review checks that the required evidence exists, can be traced to the relevant framework requirement and has been prepared in accordance with the TIA-Ready Framework. It does not decide whether the company’s business choices are correct, certify that its controls will prevent every harm, or take responsibility for the artificial intelligence system. The company remains responsible for the accuracy and completeness of its evidence, the effectiveness of its controls, its acceptance of any remaining risk, and all legal, safety, operational and commercial consequences.

AutomationSG has convened a TIA-Ready Framework Steering Committee with representatives from the industrial ecosystem to guide the framework’s development and implementation. The framework has also undergone desktop validation with two SME pilot companies, JM Vistec System and CADVision Systems, using AI-related business operation use cases to test its structure, clarity and practical application.

Singapore Polytechnic is working with AutomationSG as the training partner for TIA-Ready. The first Industrial AI and Governance Literacy programme is scheduled to begin in October 2026, covering AI risks, responsible use, data protection, workplace rules and basic safety expectations relevant to industrial environments.

Mr Saw Biing Huei, Chief Executive Officer of AutomationSG, said: “Trusted AI does not start with the dataset or the test result. It starts when management decides what AI should be used for, what it must not be used for, whose decisions it may influence and what risks the organisation is willing to accept. Only then can a company determine whether it has the right data and whether it is testing the right thing. TIA-Ready gives SMEs and industrial companies a bounded, practical way to begin without having to start with an enterprise-wide programme.”

AutomationSG will work with industry, training and assessment partners to support pilot implementation, capability development and TIA-Ready Recognition. The framework will also be periodically reviewed as Singapore’s AI governance guidance, industry practices and international standards evolve.

TIA-Ready is a practical starting point for trusted industrial AI adoption: Managed. Governed. Ready.

About AutomationSG:
AutomationSG is Singapore’s trade association for the industrial automation, robotics and automation technology ecosystem. Formerly known as the Singapore Industrial Automation Association, it works with members, industry partners, government agencies and Institutes of Higher Learning to support technology adoption, capability development, industry transformation and trusted innovation.

About TIA-Ready:

The Trusted Industrial AI Ready (TIA-Ready) Framework is AutomationSG’s industry-led, use-case-scoped readiness and recognition pathway for companies deploying artificial intelligence in industrial automation, robotics, manufacturing and operational technology environments. Recognition confirms only that required evidence for the defined use case exists, is traceable and has been prepared in accordance with the framework. It does not certify the safety, performance, legality or fitness of the artificial intelligence system, and it does not transfer responsibility or liability from the recognised organisation. TIA-Ready is benchmarked against ISO/IEC 42001 but is not ISO certification, statutory approval or a legal certificate of compliance.

For more information, please contact:

AutomationSG
Ms Lim Sue Yin, Executive Director
sueyin.lim@automationsg.org
+65 6749 1822