Make the problem clear.
Consulting taught me how to walk into an ambiguous business problem, find the structure inside it and turn research into decisions senior leaders could use.
A clear problem is much easier to solve.
> whoami
Commercial operator, applied AI practitioner, investor.
I build markets, products and the systems around them.
I started my career learning how to make sense of messy business problems.
Then I learned how to sell. Then how to build markets. Then teams. Then systems.
Eventually, I started turning the problems I kept seeing into products.
EVENT PORTRAIT
JESSIE TUNGSINGAPORE · 2026
WHAT I KEEP COMING BACK TO
Problems that sit between what a customer needs and what a company can build.
01
WORKING INDEX
02
> career
THE ROUTE SO FAR
Learning how businesses actually grow.
I started by learning how to make sense of a problem. Then I got the chance to build a business around one.
Build from zero. Then make it repeatable.
I opened Malaysia and Indonesia, won our first anchor customers, hired local teams and built the commercial systems around them. Then the problem changed: from how to grow, to how to make growth repeatable.
Growth becomes durable when judgement becomes a system.
Know what not to do.
We got clearer about who we served, which opportunities deserved attention and where our people should spend their time. Forecasting, segmentation and operating rhythms turned individual judgement into shared commercial focus.
A good commercial system protects focus.
Put your best people on the hardest problems.
Important opportunities rarely belonged to one department. I brought strong people from across the company into one room, gave them the problem and made the work move together.
Important problems deserve more than an org chart.
Start again.
After seven years at Twimbit, I am applying the same lessons to AI native services. Find the problem, understand the customer and build the system.
Building is a much better teacher than predicting.
03
> applied_ai
THE WORK IS MOVING CLOSER TO THE OUTCOME
The distance between understanding a problem and building the solution is getting shorter.
01PAST
Twimbit X
Our customers did not need more information.
They needed intelligence shaped around the account sitting in front of them. Twimbit X used AI to turn proprietary market data into account-relevant insight for customer-facing teams.
Start with the work the customer is trying to do. Not with AI.
02PRESENT
Curious East
What does an AI-native service actually look like?
Curious East helps people navigate the complexity of travel in China through an AI service built with a human in the loop approach. Agents support itinerary building and execution. People review the work, handle exceptions and stay accountable for the final experience.
- AUDIENCE
- Thematic travellers
- AGENT ROLE
- Itinerary + execution
- HUMAN ROLE
- Judgement + exceptions
Building is a much better teacher than predicting.
04
> thoughts
IDEAS I AM STILL WORKING THROUGH
Notes from the edge of building.
01
AI SERVICES · SEQUOIA THESIS
What if the next great AI company sells the work, not the software?
Software helped people do the work. Agents can increasingly do parts of the work themselves. That sounds like a small distinction. I think it changes the market completely.02
PRODUCT INNOVATION
Your hardest product problem needs a Black Belt Team.
Sales knows the customer. Technology knows what is possible. Research knows the domain. Delivery knows what will survive contact with reality.03
AGENTIC WORKFLOWS
Five lessons building workflows as a commercial leader.
Commercial leaders understand how work actually gets done. The messy version. Not the process diagram. Agents are making that knowledge programmable.THE TOOLS HAVE CHANGED.