UW InsureTech - InsurTech Innovation Award 2022

1. SmartTag
by UW InsureTech
An AI-backed business tool that enhance productivity and automation
Solution that Support Your Customer Journey - More resources on profitable client
- Matching the right client to the right business model
- Let bots handle the rest without denying them - a smarter business decision support system

2. The Great Reshuffle - Financial Sector Human Resources
A “Relationship” driven industry
Lose staff = lose revenue, business owner do not know the client
Every staff spend their time as they like, but not necessary productive and efficient
Technology is confined to data entry
Inefficient filtering - spam email, window shopper phone and social media ad bombardment

3. Our Solution
● Smart AI engine to analyse and profiling every prospect
● Advise “profit” score before carry out conversation
● Business decision to follow up a not so profitable client - with report on KPI
● Automate non favor client follow up, routing to cell phone app via email and SMS
● Prioritize and allow outsourcing follow up with quality control procedure, e-sign etc
● Coaching and improve via listening - to learn and showcase on conversations.
● Chatbot with ability to send necessary document via SMS, email

4. How it work?
Workflow
- Incoming Phone ring, display known customer name from CRM along with a “profit score”
- Call center or support staff have a choice, to answer within 3-6 rings and review who called, what’s
their profit score and greet according if answered.
- Should the score too low, phone route to chatbot, automate form send out to cell phone via email
(if existing client) and SMS depending on what they ask for (i.e. change risk etc)
- Back office review completed form, or listen to conversation with chatbot.
- Call back if necessary for further information.

5. The Result
Filtered 85% of
- Spam call,
- Windows and price shopper
- Using AI to determine risk, and categories priority, high maintenance, low quality client
- Produce KPI report, rewarding support staff while encouraging high profitable client on human
driven up sell, while leaving lower quality client to back office automation.
5 years result on brokerage firm that implement this system,
loss ratio from 107% down to 23%

6. The team
“By focusing on Customer eXperience, Technology and People”
Calv Lim - CEO -
People
Insurance Broker / International Speaker /
Innovator / Entrepreneur. Calvin started his
career as technical engineer and worked his way
up as China Regional Country Manager for a UK
publicly traded technology company. He founded
his insurance brokerage last decade and growth
across Western Canada.
Sean Zuo - CTO -
Technology
Wojtek Wójcicki - CMO
Customer eXperience
CTO, Sean’s experienced as a full stack software
developer and is a project manager for many ERP
and CMS software systems. Having strong
technical knowledge for different variety of
programming languages and platforms.
Wójcicki has consulted to many major firms on
branding and rebranding efforts, including three times
world Olympics marketing campaigns.
Wojtek will lead us through the creation of a brand,
where it needs to live in today’s business world.

7. The technology
AI-NLP chatbot / VoIP / SMS , Cognitive OCR Machine
Learning, data modelling, Progressive web apps for online
service / quoting and integration to our ERP + CRM system.
We are platform provider, we allows API integration with any
technology to jointly provide as solutions to InsurTech.

8. Using SaaS concept, provide
integration consultancy services to
help digital transformation. We have
technically capable staffs that
integrate, process service request for
businesses that are not technically
ready.
News: Queries from international
brokerage interested in
implementation. North America,
UK, Kenya and Hong Kong
Going Global
Revenue model Consumer
Venue
Operation
● Currently going through seed round of investment from VC, financial detail and forecast available upon request.

9. About Us
Our Client
A Western Canada Brokerage, targeting entire Canada and international market.
Started in 2008, only recently moving towards Digital (Sept 2020) with little digital present on the internet. Within 7 months, the internet
visitor increased over 600%, loss ratio (profit on good risk selection) drop 50% each year for 3 years now.
Recognized by the Industry
Live system backed by proven data. Focus on People, technology development and Customer eXperience

10. Appendix
How would the algorithm predict score to a client ?
The Machine Learning data model predict based on a sample of brokerage existing
clients. In the beginning, when information is still in the collection stage (it took us 15
years of data to analyze), we have human intervene and train the module under
reinforced learning. Customers browsing the internet will often have other
information, such as Facebook data. We have a driving pattern, address changes,
claim history, use of tone when interact, payment behaviour, the standard industrial
ratio of claims, etc. Our model will analyze the distribution of risk and advise when
specific risk ratios are too high or concentrated in an area — a constant learning
model.
IT’S ONLY DATA UNTIL IT’S PROCESSED !
The AI Platform that transform Data to meaningful Business Decision
Support - and automate the outcome - by choice.

11. Video Presentation
https://youtu.be/sbJ7ayiiv7M
Question
For More Information and video, visit https://www.uwinsuretech.com

12. Mission For Corporate
To create a culture that more mission focused more focused on product,
customer focus and think about how to minimize distractions and really raise the
bar on product excellence and productivity.
To combat “economic headwinds” the company faces - “Back to basics”