No Agreed Way to Use AI
Copilot or ChatGPT is switched on, but nobody has agreed which information can go where, so rollout stalls.
AI Advisors and Builders
Singapore runs on lean teams managing complex cross-border operations. We set up a secure AI foundation and usage policy first, then build research, operations and reporting workflows.
For fund managers and multi-family offices, as part of our investment management work. The people in your first meeting do the work.
Book a CallClients across New Zealand, Australia, Hong Kong and Singapore




The Challenge
Copilot or ChatGPT is switched on, but nobody has agreed which information can go where, so rollout stalls.
Multi-currency reports and cross-border compliance documents get rebuilt by hand for each investor and market.
Due diligence questionnaires and MAS guidance now ask how you use AI, and you need a policy and a record to show it.
Consolidated reporting, onboarding and manager knowledge land on the same few people in a lean family office.
More on where lean investment teams get stuck is on our investment management page.
Why ELab
People who understand your business and can build the technology. We're operators who've run businesses and delivery ourselves.
Most of us have worked in both traditional business and technology. We've run teams, delivery and businesses, so we start with how the work gets done.
We map the processes and work alongside your people, so by the end we know how your business runs, where the team's time goes and where AI helps.
We work with investment managers in Hong Kong today, and run AI Foundations workshops in person in Singapore with the people who do the work.
Our Approach
For investment teams we put a secure foundation in place first, then work from your people and processes. Tools and systems come last.
Explore How We WorkUnderstand your team's skills, where their time is best spent and what's in the way. A person stays in charge of every output that matters.
See where work stalls, from double data entry to time lost on low-value tasks. We map the handovers, approvals and exceptions and fix the process before AI goes in, using Lean Six Sigma where it helps.
Your people and your AI can find it, use it and work with full company context. Pricing, procedures, client history and templates stay in your own systems.
Your systems work together as intended, so you get the most from AI. Claude, ChatGPT or Microsoft Copilot, whichever fits, tested with the people who'll use it.
What We Build
Every engagement starts with a secure AI foundation and usage policy. Then we build workflows one area at a time, and your team reviews every output and makes every investment decision.
Research summaries, credit papers and IC papers prepared from approved sources, with each point linked to where it came from. An analyst checks every draft.
One record for each investor, borrower or deal, built from the files and systems you already run. Requests and notices go to the right person to check first.
Investor letters, data packs and due diligence questionnaire responses drafted from approved data and past answers. The relationship owner approves each one.
In Practice
Once the first workflows prove their value, most clients move on to the next area of the business. A Hong Kong investment manager started with AI Foundations, then came back to build workflows for its investment team.
How It Works
Each phase has a fixed fee and a clear scope before it starts. The foundation comes first, so every workflow runs inside agreed controls.
3 to 4 weeks
Platform, policy and controls set before any workflow touches investor or deal data.
3 to 6 weeks each
Research, operations or reporting workflows, one area at a time, following the roadmap.
After go-live
Others build and leave. We stay to tune each workflow as your team uses it.
In Singapore
We start with a secure foundation, then build one workflow at a time, with your team testing each one before it goes live.
AI Foundations starts with a workshop in person in Singapore. Then we map the workflows that take the most time and agree the operating requirements.
Workflows can cover multi-currency reporting, cross-border compliance documents and investor communications across time zones, from one source of truth.
We build and test the first workflows with the people who'll use them. Each workflow has an owner on your side before it goes live.
Practical Questions
More on security, scope and timing is on our investment management page.
Yes. We work within your existing compliance and security frameworks, and your data stays under your control, hosted where you need it. The usage policy and data handling rules are agreed before any workflow touches client data.
With a secure AI foundation and usage policy, then one recurring workflow. Common first workflows are investor reporting, due diligence questionnaire responses, deal memos and compliance documents.
Yes. We work with fund managers and multi-family offices in Singapore. For a lean family office team, useful first workflows include consolidated reporting, team onboarding and knowledge about each manager and relationship.
No. We work on the operations of an investment business. We don't offer investment advice, stock recommendations or automated trading. Your investment professionals stay responsible for every investment decision.
AI Foundations runs 3 to 4 weeks and includes one workshop and one live workflow. Implementation sprints usually run 3 to 6 weeks each, one area of the business at a time.
A Good Place to Start
Thirty minutes on how your team works today and where AI should go first. No preparation or project brief needed.
Book a Call hello@elab.co.nz