2. Cumbersome
Asking a lot of time from customers
Expensive
Taking a lot of time from business agents
Impersonal
Everyone is treated the same
Customer service in traditional financial
institutions:
3. Enterprise
Artificial Intelligence
Platform
Machine Learning to
transform CX
Use cases
Onboarding
Up / cross-sell through
micro-campaigns
Attention & resolution of
customer requests
Customer information
collection
Receivables collection
Customer retention
4. Features
barrier free
AI as a
service
On demand
pricing
AI that is
Easy to try
Easy to adapt
Easy to integrate
Software agnostic
Serverless
API based
Results oriented
Dashboard monitoring
Continuous
improvement
By completed task /
goal
Enterprise
Artificial Intelligence
Platform
Machine Learning to
transform CX
6. AI ready
Easy to understand
Easy to try
Easy to purchase
Easy to integrate
Domain knowledge and experience in AI/ML
On-demand pricing
Talent hub: young company working with
state-of-the-art technology
Long and successful track record in SaaS
including customer service and retention
AWS tech and commercial partnership
Our major strength is understanding the use
of Machine Learning to transform the
Customer Experience.
Differentiated
proposition
8. Features
AI solutions
Customer
Data Engine
Automated data extraction from documents
to reduce time to revenue.
Activities such as onboarding, debt
collection, lead, and credit scoring, up-sell,
cross-sell can benefit from easily deploying
enterprise artificial intelligence.
Documents, forms, and other data
collection remains a major burden for
organizations, wasting 30-60% of sales
teams time in industries like finance and
insurance.
9. Use cases
Beneficiar entidad
cooperativa
AI solutions
CustomerChallenge: Onboarding processes
that are too slow and
increase time to revenue.
Solution: Onboarding process
fully automated.
Results: Happier customers,
faster revenue.
Data Engine
Work.r AI platform never sleeps, forgets, or
creates any bias.
This means your customers can complete
onboardings off-hours, resume abandoned
applications anytime and accelerate the
decision about a product or service. The
decision process can be fully automated.
10. Features
AI solutions
Predictive
The best combination of channel,
moment and message to every
customer, every time - AI powered
Engagement
Engine
Behavioral models ready to use to
provide personalized omni-channel
experiences.
AI ready for your business:
Easy to understand, easy to try, easy to
purchase and easy to integrate.
11. Use cases
AI solutions
User interaction coordinated by
ML and through tailor-made
contact points like WhatsApp™
Business, SMS, email and others.
Challenge:
Less than 50% in the recovery rate
of the premium in car insurance.
Solution:
Automated receivable collection that
continuously optimizes
the recovery rate.
Results:
Ditching ineffective
bulk SMS.
Predictive
Engagement
Engine
Aseguradora Solidaria
de Colombia
12. AI Solutions
Recommendation
Engine Features
Recommendation systems that are
ready to use to provide a personalized
experience through any channel.
Offer your customers what they want even
before they know they want it
AI for everyone, easy to manage,
purchase and integrate.
13. Use cases and
examples
AI solutions
Recommendation Engine
Precise and personalized
recommendations that will
anticipate and adapt to
customer changing
preferences.
Recommendations embedded in websites,
launched in real time:
dynamic marketing campaigns
Suggest next steps to your
sales and customer service
representatives
A solution to optimize your
up-sell and cross-sell strategies
in static campaigns
14. Find further info and
book a demo with an expert at:
Start to use
- Enterprise AI platform
www.workrai.nl
