T Ngo · ARM, RPLU

Hi, I'm T.

Risk Translator

Two decades in insurance and risk, now translated into clarity tools for capital decisions across AI · Energy · Climate. The built portfolio below — human-first, AI-enabled — is where the work has led so far.

T Ngo

About

A short bio.

T Ngo, ARM, RPLU, is a strategic risk and insurance advisor and the founder of Clean Power Whisperer — the risk translator behind the practice. Twenty years across underwriting, corporate risk, and clean energy — AIG, Hanover, Essex, and Pine Gate.

The throughline is translation — turning complex exposure into clarity that decision-makers can act on.

Clean Power Whisperer is a strategic risk and insurance advisory practice for clean energy and AI infrastructure — translating complex exposure into capital decisions across the project lifecycle: Get, Fund, Build, Run. Commercial engagements — including The Pillar Test Diagnostic and Capital Stack Risk Intelligence — run through cleanpowerwhisperer.ai.

Today that frame runs wider than insurance: the built portfolio below includes studies of judgment under pressure and translation work about AI for non-technical readers.

Quick profile

The credentials, briefly.

Insurance credentials
ARM (Associate in Risk Management)RPLU (Registered Professional Liability Underwriter)
Experience
Insurance architecture from the ground up for P&C, financial lines, E&O, environmental, cyber, and taxCapital optimization via surety bonds and surety-backed letters of credit
AI credentials
Anthropic — Building with the Claude API + AI Fluency Framework & FoundationsGoogle — Google AI Professional CertificateOpenAI — Agents and Workflows + Applied AI FoundationsMicrosoft — Azure AI FundamentalsRanked among the top 10% of builders on Lovable
Education
Carnegie Mellon University — Executive Education, Chief Risk Officer ProgramStanford Graduate School of Business — Executive Education, Sustainability StrategiesUC San Diego — International Studies, Economics — Magna Cum Laude, BA
Speaking
IRMI, RIMS, EUCI, and industry conferences on energy risk, surety, and insurance as capital strategy.

Operating principles

How I work.

Human-first, AI-enabled: frontier models support the research, simulations, and publications behind the practice, while T provides the direction, judgment, and domain expertise.

I.Translation over prediction.

The job isn't to forecast. It's to translate what an insurance policy offers into capital and risk implications a capital allocator can act on.

For example —

  • Collapse standalone insurance placements into master programs. Delivers scale for property insurance during construction and operation.
  • Create a consistent methodology for sizing policy limits. Stays inside risk appetite without leaving capital on the table.
  • Deliver security posting via surety bonds and surety-backed letters of credit. Reduces cost of capital.

II.Curious by habit.

The tools that help me translate keep changing. So I learn to build with whatever's new, see what it can carry, see what it can't, then revisit the question I was asking later.

In 2017: While learning about blockchain, I wrote a LinkedIn article imagining a conversation between me (in 2017) and a chatbot (2050 version of me). What felt radical in 2017 doesn't seem far-fetched given how far we have advanced with voice and image generation.

In 2020: I learned to build a Q&A chatbot as an experiment to earn the Microsoft Azure AI certification.

In 2022: ChatGPT 3.5 arrived and the steep learning curve began.

In 2023: Claude arrived.

The portfolio below is what's come out of the curiosity habit so far.

Portfolio

Built with AI.

With AI, cool new stuff comes out all the time. The things I build serve as my own history museum — each entry names the model used and links the artifact. Newest first. Welcome to the gallery.

  • 2026.08 · ElevenLabs LATEST

    Human Pace · The Audio Edition

    Perspectives read aloud, in my own voice with ElevenLabs, because reading time is rare.

    cleanpowerwhisperer.ai/blog →
  • 2026.07 · Fable & Codex 5.6

    Get · Fund · Build · Run

    A framework for a solar project's lifecycle. Where are we in the lifecycle? What decision allows us to move forward?

    solar-project-lifecycle.lovable.app →
  • 2026.06 · Opus 4.8 & Opus 4.7

    AI · Energy · Climate · A connection brief.

    Explore the connections and the question — who carries the risk?

  • 2026.05 · Opus 4.7

    Votu · Judgment binds you to one side.

    See how practitioners walked through theirs.

    votu.app →
  • 2026.05 · Opus 4.7

    Cartu · Translating dense text into a drawn shape.

    Sample — 151 skill files from Claude for Legal, mapped into 12 architectural archetypes.

    cartu.app →
  • 2026.04 · Opus 4.7

    Capital Liberation

    Built for presentation at IRMI Energy Risk & Insurance Conference (ERIC) 2026. Briefing on releasing trapped capital through surety bonds and surety-backed letters of credit.

    cleanpowerwhisperer.ai/blog/capital-liberation →
  • 2026.04 · Opus 4.7

    The Pillar Test

    Six-step capital-clarity methodology.

    cleanpowerwhisperer.ai/blog/the-pillar-test →
  • 2026.03 · Opus 4.6

    For the moms navigating change

    Sample — Leverage AI: five permissions for women navigating change with AI as the new tool.

    bymom.app →
  • 2026.02 · Opus 4.6

    Insurance tab built inside a Financial Model

    A project-finance scenario engine for solar and storage that stress-tests DSCR, flip year, and CFADS.

    cleanpowerwhisperer.ai/blog/the-tab-nobody-opens →
  • 2026.01 · Opus 4.5

    Risk Whisperer Agency

    Immersive risk simulation through four safehouses: underwriter's safehouse, claims interrogation room, the treasury vault, and stakeholder command center. Create your own code name and accept the mission to enter. Have fun!

    riskwhispereragency.com →

Let's talk

How we might collaborate.

Bring a question or a situation. The first step is a conversation: I listen, frame, and sketch a structured next step when one is useful. Looking forward to hearing what you have in mind.

For readers with an agent: