{ "primary_positioning": "I connect business priorities, product decisions and teams to deliver AI, with governance built into the work.", "audiences": [ "Executives and peers working on AI strategy, product and delivery", "Teams assessing AI leadership responsibility and contributions", "Conference organisers seeking useful AI talks and panels", "University programme leaders seeking AI guest lecturers and adjunct teaching contributors", "Boards, councils and leadership teams seeking AI expertise and governance advice", "Media teams covering AI adoption and business impact", "Founders building AI-first companies" ], "opportunity_paths": [ { "id": "ai_leadership", "priority": 1, "title": "AI Leadership Experience", "summary": "Current enterprise AI platform and product work at NCS, with earlier experience in AI delivery, product teams and governance.", "path": "/about/", "cta_label": "Explore leadership experience", "contact_subject": "AI leadership discussion" }, { "id": "speaking", "priority": 2, "title": "Speaking and Panels", "summary": "Talks and panels on AI investment, agent authority and the choices that change across markets.", "path": "/speaking/", "cta_label": "View speaking topics and past events", "contact_subject": "Speaking or panel enquiry" }, { "id": "teaching", "priority": 2, "title": "University Teaching", "summary": "Guest lectures and university teaching on AI business decisions, governance and agent workflows, drawing on MBA workshop and educator webinar experience.", "path": "/teaching/", "cta_label": "Explore teaching topics and experience", "contact_subject": "Guest lecture or university teaching enquiry" }, { "id": "executive_board_advisory", "priority": 3, "title": "AI Advisory for Boards and Councils", "summary": "AI advice for boards, councils and leadership teams on readiness, risk and oversight, drawing on AIRI and standards contributions.", "path": "/ai-governance/", "cta_label": "Explore AI governance experience", "contact_subject": "Board, council or executive AI advisory opportunity" }, { "id": "media_commentary", "priority": 3, "title": "Media Commentary", "summary": "Available for interviews on AI adoption, model costs and localisation, with past views quoted in ThinkChina and Lianhe Zaobao.", "path": "/writing/", "cta_label": "Read writing and media commentary", "contact_subject": "AI media commentary request" }, { "id": "startup_mentoring", "priority": 4, "title": "Startup Mentoring", "summary": "Available to mentor AI-first founders on product direction, business models and go-to-market choices.", "path": "/innovation/", "cta_label": "Explore mentoring experience", "contact_subject": "Startup mentoring enquiry" } ], "brand_pillars": [ { "name": "Assess readiness before committing", "summary": "As one of AIRI's architects, Tern Poh helped design a framework for assessing an organisation's AI readiness." }, { "name": "Align teams for AI delivery", "summary": "His work spans AI product management at Yoozoo and model development with AI Singapore's RenalTeam project team. He brings business and technical teams into product and delivery decisions." }, { "name": "Address risk in AI design and use", "summary": "He contributed to TR 99:2021 through its technical committee and AI Security Working Group, and to work on AI transparency and decision support." } ], "signature_sessions": [ { "id": "readiness_to_deployment", "title": "When is an AI pilot ready for real use?", "audience": "Business leaders, product teams and transformation leads", "takeaways": [ "Define the business decision an AI pilot must support.", "Check the data, skills and owner needed for delivery.", "Set the evidence needed to proceed, revise or stop." ], "formats": [ "Talk", "Panel", "Executive briefing" ], "source_ids": [ "aisingapore_airi", "aisingapore_renalteam_2019", "sginnovate_ai_business_leaders" ] }, { "id": "agent_authority", "title": "AI agents: who can decide and act?", "audience": "Executives, product leaders and teams responsible for AI risk", "takeaways": [ "Separate an agent's advice, decisions and actions.", "Set access limits and decide which actions need human approval.", "Choose failure tests, review records and escalation rules." ], "formats": [ "Talk", "Panel", "Executive briefing" ], "source_ids": [ "sginnovate_ai_business_leaders", "singapore_standards_tr99", "sg_weather_ops_dashboard_repo" ] }, { "id": "ai_across_markets", "title": "What changes when AI crosses markets?", "audience": "Business and product teams adapting AI across markets", "takeaways": [ "Identify the language and user context that need local testing.", "Compare model access, costs and practical constraints.", "Decide what can be reused and what needs local adaptation." ], "formats": [ "Talk", "Panel", "Executive briefing" ], "source_ids": [ "eye_on_asia_clearer_waters_2024", "zaobao_ai_localization", "thinkchina_openai_block", "pku_guanghua_mba_adventure" ] } ], "teaching": { "intro": "Tern Poh was an instructor and moderator in the NUS MBA Tech Club's AI for Business Leaders series. He also introduced AI at an NIE webinar for educators. Proposed topics connect business decisions, AI risks and the design of AI workflows.", "availability": "Open to guest lectures, short university programmes and adjunct teaching. Scope and depth can be agreed around the course, learners and learning goals.", "areas": [ { "id": "ai_business_decisions", "title": "Assess an AI business case", "audience": "MBA, business and executive education learners", "outcomes": [ "Define the decision and value an AI use case should support.", "Identify gaps in data, team skills and delivery ownership.", "Recommend whether to proceed, revise or stop a proposal." ] }, { "id": "ai_governance", "title": "Turn AI risks into design choices", "audience": "Business and computing students; working professionals", "outcomes": [ "Map the people affected by an AI system and its likely failures.", "Assign responsibility for risk decisions and human review.", "Compare controls for transparency, security and human oversight." ] }, { "id": "applied_agentic_ai", "title": "Design and test an AI agent workflow", "audience": "Computing students and professionals building AI applications", "outcomes": [ "Map the roles of models, tools and people in a workflow.", "Define allowed actions and points for human approval.", "Test a prototype against its task and likely failure cases." ] } ], "evidence_source_ids": [ "nus_mba_ai_business_leaders_workshop", "nie_ai_literacy_educators", "ai4e_educators_youtube" ], "sample_lesson": { "id": "ai-business-case-sample", "label": "Proposed sample lesson", "title": "Should this AI pilot proceed?", "status_note": "An illustrative lesson plan with a fictional scenario, prepared for discussion with course leaders.", "learners": "MBA, business and executive education learners", "format": "60 minutes · discussion and group exercise · no coding required", "scenario": "A service team proposes an AI assistant that drafts replies from an approved knowledge base. Decide whether to run a pilot, what evidence is needed and which actions require human review.", "sequence": [ { "minutes": 10, "activity": "Frame the business decision and its owner" }, { "minutes": 15, "activity": "Assess data, skills and readiness gaps" }, { "minutes": 15, "activity": "Define controls and failure tests" }, { "minutes": 15, "activity": "Review the proposal in groups" }, { "minutes": 5, "activity": "Present a proceed, revise or stop recommendation" } ], "output": "A one-page recommendation naming the business owner, one success test, one failure test and the human-review boundary.", "criteria": [ { "name": "Business decision", "standard": "Names the decision, affected users, owner and expected value." }, { "name": "Readiness", "standard": "Identifies specific gaps in data, skills and delivery ownership." }, { "name": "Controls", "standard": "Links plausible failures to justified access limits and human review." }, { "name": "Recommendation", "standard": "Uses testable criteria to justify proceeding, revising or stopping." } ], "labels": { "learners": "Learners", "format": "Format", "scenario": "Fictional scenario", "outline": "Lesson outline", "output": "Learner output", "assessment": "Assessment criteria", "minutes": "min" } }, "curriculum_advisory": { "label": "Curriculum advisory", "title": "SUSS Academy · Industry Advisor", "summary": "Since September 2026, an industry advisory appointment supporting curriculum, courseware, assessment and learner pathways in Continuing Education and Training.", "source_ids": [ "suss_academy_industry_advisor_2026" ] } }, "speaking_topics": [ "AI strategy for enterprise leaders", "AI transformation and deployment strategy", "How executives can move from AI pilots to governed practical use", "What AI agents mean for business work", "AI readiness, governance, and enterprise use", "Trusted AI governance and TR 99 lessons for executives", "AI transparency, explainability, and healthcare decision support", "AI and human security in emerging technology governance", "Model risk and AI security for business leaders", "The business impact of LLM cost declines", "How model access and local context shape AI choices", "Building culturally fit AI systems across markets", "AI literacy for educators and non-technical teams" ], "speaking_topic_categories": [ { "title": "AI strategy, transformation, and deployment", "description": "Strategy and delivery topics for leaders moving from AI ambition to practical, governed use.", "topics": [ "AI strategy for enterprise leaders", "AI transformation and deployment strategy", "How executives can move from AI pilots to governed practical use", "What AI agents mean for business work", "AI readiness, governance, and enterprise use" ] }, { "title": "Trusted AI governance and risk", "description": "Risk, security, transparency, and governance topics for leaders who need responsible AI systems.", "topics": [ "Trusted AI governance and TR 99 lessons for executives", "AI transparency, explainability, and healthcare decision support", "AI and human security in emerging technology governance", "Model risk and AI security for business leaders" ] }, { "title": "AI access and localisation across markets", "description": "How model access, language and user context affect AI adoption.", "topics": [ "How model access and local context shape AI choices", "Building culturally fit AI systems across markets" ] }, { "title": "AI literacy and capability building", "description": "Clear AI education for educators, non-technical teams, and new practitioners.", "topics": [ "AI literacy for educators and non-technical teams" ] } ], "copy_rules": [ "Use short sentences.", "Use active voice.", "Use concrete facts.", "Do not mention short temporary assignments.", "Do not infer claims that are not in sourced data.", "Keep proposed sessions and teaching outcomes distinct from past delivered events.", "Describe desired board, council and faculty roles as opportunities until an appointment is verified." ], "media_topics": [ "What lower model costs change for enterprise AI adoption", "Why AI localisation involves more than translation", "How model access shapes AI choices in China", "What organisations need before putting AI into use" ], "advisory": { "title": "Decisions I help teams assess", "intro": "Areas for professional discussion, grounded in the contributions below.", "leadership_link": "See leadership responsibilities and career context", "decision_evidence": [ { "id": "value", "title": "Value", "question": "What business decision should this AI investment improve?", "evidence": "Helped shape AI use-case discussions as an instructor and moderator in the NUS MBA AI for Business Leaders series.", "source_ids": [ "nus_mba_ai_business_leaders_workshop" ] }, { "id": "readiness", "title": "Readiness", "question": "What needs to be ready before committing to delivery?", "evidence": "One of the architects of AIRI, a framework for assessing organisational AI readiness.", "source_ids": [ "aisingapore_airi" ] }, { "id": "security", "title": "Security", "question": "Which AI security threats and controls need attention?", "evidence": "Contributed to TR 99:2021 through Singapore’s AI Technical Committee and AI Security Working Group.", "source_ids": [ "singapore_standards_tr99", "lim_tern_poh_owner_confirmed_aitc" ] }, { "id": "oversight", "title": "Oversight", "question": "What should people understand and review in an AI-assisted decision?", "evidence": "Contributed through AI Singapore to AI transparency work and as a project-team member to healthcare decision-support guidance.", "source_ids": [ "openloop_apac_ai_transparency", "ipur_healthcare_ai_decisions" ] } ] } }