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TengKianBoon/README.md

Kian Boon (John) Teng

Enterprise AI: from executive intent to shipped, governed systems

C-level operator · shipping governed enterprise AI · climate finance & sustainable infrastructure · Singapore–Indonesia corridor

I work where business strategy meets working AI — deciding which workflows are worth building, what outcome justifies the spend, and then shipping governed systems that teams actually adopt. I bring senior operating experience and practical building fluency: I can sit with the real problem, shape the strategy, design the solution, and lead it from prototype into trusted daily use.

How I approach enterprise AI

Start from why and what. Business pain, decision bottleneck, ROI against capex/opex, build-vs-buy — settled before any model is introduced. Never over-engineer a simple process.

Design for trust from day one. Bounded inputs, human-in-the-loop review, auditable evidence, explicit cost and quality gates, explainable outputs.

Own the last mile. Take messy, real problems through the full arc: problem → constraints → build → deployment → adoption.

Live systems

Carbon operations platform and EUDR compliance screener — designed and shipped at 180Climate: carbon.180climate.net · eudr.180climate.net — 463 automated tests, CI pipeline, 18 architecture decision records, human-in-the-loop gates.

Selected work

Governed Audio Learning Pipeline — Local-first pipeline that turns spoken content (voice notes, talks, permitted recordings, phone transcripts) into governed knowledge artifacts: transcripts, quality-scored summaries, and a growing concept map. Demonstrates private-raw / public-curated separation, maker–checker review, cost gates, MCP-ready tools, and a publish gate before anything goes public.

Enterprise AI Candidate Fit & Agent Harness — Privacy-first, standalone app that scores anonymized CVs against a job description with explainable evidence, gap analysis, and recruiter-ready prompts. Built as a governance demonstration in a high-scrutiny domain: visible rubrics, human-in-the-loop, fair-hiring guardrails, no autonomous decisions.

AI Vendor Presentation Monitor — Config-driven pipeline that monitors official AI-vendor sources, filters for credible material, deduplicates, and prepares a digest. Conservative source policy, no media-ripping, CI and tests.

LLM Decision Lab — A decision harness that compares multiple model answers to the same question under a project-aware rubric, runs two-pass judging and adversarial review, and routes genuinely uncertain calls to a human. A practical Outcomes → Rubrics → Graders pattern for multi-agent decision work.

What I use GitHub for

  • AI-enabled due-diligence and document-intelligence workflows for climate finance and infrastructure
  • Market and regulatory-intelligence automation
  • Agentic governance patterns: human approval, auditability, logging, cost and risk controls
  • Investor-grade evidence-pack templates for carbon, MRV, and ESG opportunities
  • Reusable enterprise AI app patterns: agent harnesses, rubrics, graders, memory, orchestration

Background

  • COO, 180Climate — originating and structuring new forest-carbon projects: 9 originated, 4 in active fundraising
  • VP Business Development, Aserra Partners — structured Aserra–Daaz's entry into two Indonesian city-scale waste-to-energy projects
  • Former President Director / Country Manager, Gemalto Indonesia (now Thales)
  • NTU FlexiMasters in Business AI & Technology — 4.8/5.0 GPA, 2026

Trust principles

No confidential client data is published here. Public repositories use synthetic examples, public sources, or redacted templates. AI outputs are treated as draft assistance only — human review, source-checking, and auditability remain essential.

I take a small number of AI deployment advisory engagements each quarter.

Connect

LinkedIn: https://www.linkedin.com/in/kian-boon-teng-7aa84933/

Pinned Loading

  1. ai-vendor-presentation-monitor ai-vendor-presentation-monitor Public

    Monitoring of AI vendors presentations, then transcribe.

    Python

  2. governed-audio-learning-pipeline governed-audio-learning-pipeline Public

    HTML

  3. llm-decision-lab llm-decision-lab Public

    A static HTML app for comparing four LLM answers, extracting claims, running two-pass judging, adversarial review, and producing a consolidated final answer.

    JavaScript