Employee loyalty, retention and managing human capital

1. #X0PAisready
X0PA Artificial Human Intelligence © 2017
Building VALUE to your business with
ARTIFICIAL HUMAN INTELLIGENCE

2. WHO
WE ARE
X0PA focuses on building value through predictive and artificial
intelligence capabilities within the field of People Operations. We
assist our clients to measure impact, performance and return of
investment through our bespoke analytic engineering.

3. AI is changing corporate behaviors and we will never be at the
risk of overestimating it's jaw dropping capabilities.
Machines will do what machines do best and give humans the
tools to enable them to accomplish super human tasks.
These are exciting times of convergence of humans and
machines and we at X0PA are excited to work with AI in the
human space.
NINA ALAG SURI
FOUNDER & CEO

4. THE X0PA EFFECT

5. THE X0PA EFFECT
Loyalty Benchmarking
Compare potential employees to
top performer based on industry
levels.
Receive an index in a form of
percentage for each candidate as
compared to industry.
Measure disengagement and loyalty of
employees at regular interval.
Include performance data to enhance
loyalty index based on performance
levels.
Receive an index in the form of
percentage on current loyalty status
and prevent attrition.
Be prepared for attrition and
intervene when loyalty nears exit
benchmark.
Loyalty
benchmarks
during hiring
Engagement
and Loyalty
Loyalty
benchmarks
for succession
planning
%

6. *Based on clean and formatted data
THE X0PA EFFECT
• Instant turnaround on Loyalty Benchmark*
• Ease of data upload either daily, monthly or quarterly
• Patented predictive model carefully curated, rigorously tested using Big Data that is
publicly available through multiple platforms
• Validated patented models for different industries
• Artificial Intelligence platform to continuously improve benchmark levels
• Automated prompt for organisations using machine learning techniques when a change
is predicted
• Dedicated data scientist and account manager for your organisation
• #X0PAisready

7. X0PA EFFECT – Loyalty Hiring
Candidate/Employees Profile
Name: Daenerys Targaryen
Gender: Female
Age: 40
Experience: 15 years sales, 5 years management
Status: Single
Promoted (Last 2 years): Yes
Industry: Professional Services
Status: Green
Potential Attrition: 5 years from
current date.
Engagement Level: N/A as new
candidate
Green: Extremely Loyal
Yellow: Average Loyal
Red: Low level of loyalty
82%

8. X0PA EFFECT – Loyalty Hiring
Candidate/Employees Profile
Name: Jon Snow
Gender: Male
Age: 25
Experience: 5 years precision engineering
Status: Married
Promoted (Last 2 years): No
Industry: Aerospace Engineering
Status: Red
Potential Attrition: 3 months from
current date
Engagement Level: 50%.
Green: Extremely Loyal
Yellow: Average Loyal
Red: Low level of loyalty
15%

9. ATTRITION MANAGEMENT VIA AI
Forewarned is forearmed
Forecast attrition levels in your organisations
for the next 12 months. Drill down insights
to desired levels - countries, business units,
teams and individuals.

10. X0PA EFFECT ATTRITION
312
PREDICTION FOR UPCOMING
12 MONTHS (GLOBAL)
Resignations Recruitments
297
Forecasting resignation and recruitment using historical big data

11. X0PA EFFECT ATTRITION
13 People
Singapore
33 People
Philippines
66 People
United Kingdom
83 People
USA
92 People
India
Key factors impacting attrition and loyalty:
Location and title within organisation.
Forecasting resignation and recruitment using historical big data
No. of resignations in the next 12 months in key locations:

12. X0PA EFFECT – Salary elasticity
• Measure the loyalty of candidate you are hiring based on the most
effective salary.
• How are salary adjustments affecting your business – individual and
team.
• Measure impact on potential attrition based on salary adjustment

13. X0PA EFFECT – Salary elasticity
Candidate/Employees Profile
Name: Daenerys Targaryen
Current Annual Salary: US 60,000
Salary Adjustment: USD 70,000
Loyalty Adjustment: +6%
Status: Green
Potential Attrition: 6 years from
current date.
Green: Extremely Loyal
Yellow: Average Loyal
Red: Low level of loyalty
88%

14. X0PA EFFECT – Salary elasticity
Candidate/Employees Profile
Name: Jon Snow
Current Annual Salary: US 55000
Recommended Salary Adjustment: N/A
Loyalty Adjustment -5%
Status: Red
Potential Attrition: 2 months from
current date.
Green: Extremely Loyal
Yellow: Average Loyal
Red: Low level of loyalty
10%

15. X0PA EFFECT - BESPOKE
For an even more in-depth analysis of your workforce, X0PA
provides Bespoke Solutions as well, some of the questions that are
usually posed are:
• Where do our best talent come from?
• When do our best talent start feeling disengaged?
• What is the cost impact of our workforce for attrition?
• What is the cost of retention and hiring?
• How do I start my analytics road map for the organisation?
• And many more…

16. #X0PAisready
X0PA Artificial Human Intelligence © 2017
www.xopa.ai