About Us

How the Xsortal helps your business

1.
LEVERAGING
BUSINESS DATA

Fully exploiting internal data assets that are unique to your company
Receiving customised grant alerts tailored to your specific business needs

2.
MAKING IT
EASY TO USE

Creating Dashboards so you can easily get the answers you are looking for
Creating an online Matcher so users can easily align with your products and services

3.
MONETISING
THE BENEFITS

Saving on time, costs and resources with instant access to real time insights
Generating new leads and creating client and prospect opportunities

Transforming your business data

Enter your details below and we will be glad to discuss your business and data transformation needs.











For further details on how your personal data is used, please see our Privacy Policy.

Meet the Data Transformation Team

Mike Fraser

I have spent more than 35 years working in business and financial consultancy, helping organisations understand risk, strategy, and performance across multiple sectors and geographies. After building and exiting a financial consultancy serving over 2,000 business and investment clients, I expanded my work into Asia, advising startups, SMEs, and large organisations in Hong Kong, China, and the UK.

Over time, my focus has shifted from advising on individual decisions to designing systems that make complex decision-making visible, testable, and safer at scale. What began as business consulting has increasingly become work on how knowledge, rules, and judgement are turned into operational systems.

Today, my work sits at the intersection of business strategy, AI, and system design. I am involved in developing HAIC (Human and AI Co-engineering), a framework for recognising when logic itself has become systemic, and for helping organisations detect, stress-test, and govern that change before it becomes a business or regulatory problem.

Rather than treating AI as a productivity tool, HAIC treats it as decision infrastructure, something that must be recognised, simulated, and aligned with human intent before it can be trusted or scaled.

Alongside advisory work, I build software platforms that turn qualitative judgement into structured intelligence, working closely with my wife, Dr. Agatha Wong-Fraser.

Three examples of this work and their underlying structural purpose are:

1. GBG: Managing Complex Databases
A grant intelligence platform (www.getbusinessgrants.com) that transforms complex public funding schemes into searchable, structured decision data for businesses.
In practice, the real achievement was proving that one of the most complex public funding datasets in the UK could be made governable, searchable, and commercially usable for the first time.

2. BSK: Building Scalable Infrastructure
A management intelligence system (https://businessskillsdna.com/) based on an audit methodology developed over more than 20 years, designed to surface hidden risk, capability gaps, and improvement paths within leadership teams.
The deeper purpose was to build assessment infrastructure that could be reused for any form of business performance measurement, turning human judgement into structured, repeatable insight.

3. BP: Creating Universal Diagnostics
An e-commerce platform that helps gas engineers diagnose boiler faults using chatbots and then find the correct replacement parts.
At a system level, this work demonstrates how complex mechanical diagnosis and ordering logic can be unified into a single reasoning system instead of relying on fragmented manuals, guesswork, and inconsistent decisions.

What I'm Currently Launching: Making AI Safe to Scale

My current focus is on helping organisations and regulators deal with the risks that emerge when AI and complex systems move from isolated tools into interconnected decision infrastructure.

Specifically, I work on approaches that help organisations:

  • Recognise when systems have become coupled, correlated, and operationally opaque
  • Detect when behaviour no longer reflects human intent
  • Stress-test AI-driven decision paths before they fail in real-world conditions
  • Build explainable intelligence for regulated and high-risk environments
  • Make AI safe to scale - not just fast to deploy

Who I'm Interested in Connecting With

I’m particularly interested in connecting with people working in or around:

  • AI governance and AI safety
  • Enterprise AI deployment
  • Risk, regulation, and insurance
  • Decision systems and system design
  • Strategic technology partnerships
  • Long-term, defensible AI infrastructure

Dr. Agatha Wong-Fraser

Agatha met Mike at university so they've always shared a passion for using data to solve business problems. Agatha has built an exceptional business knowledge over the years, consulting with nearly 200 companies in the UK and China. "What keeps you awake at night?" is a favourite starting question and then, "Let's look for the data to help you get a better night's sleep."

Wai-Kit

Wai-Kit is part of the original Xsortal team, and over the past 13 years has been managing and contributing to all stages of the data transformation platform development and implementation process. She plays the vital role as the ‘glue’ that brings together allelements of our projects to ensure they are delivered successfully.

Mark Leavy

Mark has been designing and implementing database applications for over 20 years. He has worked on a wide range of applications from handheld computers, banking applications through to data matchers for Xsortal. He works closely with the team to design and build custom databases and matchers that enable businesses to extract the right business intelligence from their data.

Kwong Lee

Kwong has over 13 years’ experience in designing data platforms and together with the team he analyses and extracts relevant business intelligence from internal and external data sets that help businesses make better data-driven decisions. He also oversees the content team who source, select, and profile business data for the Xsortal Matcher Platforms.

 
© Xsortal Ltd 2007-2026