1. Process Mining for the Insurance Sector

2. ABOUT CELONIS
Celonis is an innovative, award-winning software company and the market leader for Process Mining.
We make our customers more successful By improving every process throughout their organizations
We work with leading customers in the world 40% of Fortune 100 companies are already Celonis customers
Among fastest growing software companies in the world % over the last 4 years, 300% yoy
Backed by world class investors Accel & 83 North/ Greylock (Facebook, Dropbox, Spotify, Slack, AirBnB, LinkedIn)

3. Considerable experience in the FSI sector User & USAGE statistics
SELECTED CUSTOMERS
Considerable experience in the FSI sector
User & USAGE statistics
100,000+
Users
350+ enterprise
customers
25 Countries
15+ Industries
70+
Partners
More than 350 satisfied customers
in more than 15 industries
> 1 bn
Activities
at Once 68
Different Process Types
Connected
70+ ERPs
Largest Customer Landscape
30+ TB
Largest
Customer Installation

4. Do you know what really happens in your processes?

5. How does process mining work?
Visualization of the actual processes
AI-powered root cause analysis & improvement
EVENT LOG
Create purchase order #1234
Start production #5678
Receive payment #1234
SEND #9012 5

6. GET MAXIMUM TRANSPARENCY AND EFFICIENCY FOR YOUR
Insurance PROCESS.
Process Mining
…is a SMART big data technology that analyzes and advises you ON HOW TO IMPROVE your PROCESSES based on data GENERATED IN your ORGANISATION – IN REAL TIME.

7. IMPACT OF PROCESS MINING ON
OVERVIEW
HOW IT WORKS
ROI CALCULATION
IMPACT OF PROCESS MINING ON
THE INSURANCE PROCESS
-25%
+37%
+30%
100%
SAVE COSTS
INCREASE SPEED
BOOST EFFICIENCY
ENSURE QUALITY
Uncover hidden inefficiencies, deviations and bottlenecks to reduce process cost by 25%
Using the fastest process paths and targeted optimization speeds up throughput times by up to 37%
Improved automation and e-business rates, as well as avoiding manual rework increases efficiency by over
30%
High precision in planning and execution, fewer incidents and clear responsibilities increases customer satisfaction significantly.

8. PROCESS DISCOVERY & KPIs
OVERVIEW
HOW IT WORKS
ROI CALCULATION
HOW IT
WORKS
EXAMPLE
PROCESS DISCOVERY & KPIs
STEP 1
Find out how your process is executed in reality.
Cycle times
Automation rates
Identify and eliminate weak spots. Use insights proactively to prioritize actions leading to process improvement.
Benchmark
STEP 2
INTELLIGENT ROOT CAUSE ANALYSES
STEP 3
Find your „happy path“ and ensure continuous process efficiency, compliance, and quality.
Process Automation
Manual rework
Throughput Time

9. OVERVIEW
HOW IT WORKS
ROI CALCULATION
Company
Vodafone Plc
“In addition to the increase in perfect purchase orders to 85%, time to market improved by 20%”
Industry
TELECOMMUNICATIONS
Employees
14,000 EMPLOYEES
Israel Exposito, Vodafone
Global Process Lead for Process Mining
Processes
PURCHASE-TO-PAY
ACCOUNTING
Read Story
Watch the Video

10. 3 Days 91k € 7.4 m € 210 k € 280k € 1.5 m € EXP PRODUCTIVE
OVERVIEW
HOW IT WORKS
ROI CALCULATION
EXP PRODUCTIVE
POV: 4.2 bn POs: 143,062
POI: 2.1 m
Reduce Rework
3 Days
1.5 m €
Slim down process variants
7.4 m €
Reduce redundant process steps
91k €
Avoid Manual Payment Blocks
Create Claim File
Verify Insurance coverage
Approve Repair Processing
Scan Invoice
Allocate Invoice
Book Invoice
Archive Claim File
Reduce of Manual Rework
210 k €
Increase of Automation Rate
280k €

11. OVERVIEW
HOW IT WORKS
ROI CALCULATION
How often does rework elongate the throughput time of the whole claims process?
ANALYSIS
With the Celonis Process Visualization it is easy to identify, that it takes an average of 22 days from the approval of repair processing to the scanning of an invoice. In 17,379 cases a claim is updated with new information , that adds 9 total days to the throughput time of this process. In a deep dive analyses we were able to detect the root causes for that and derived measures to reduce this rework by 35%.
MEASURES & POTENTIALS
OVERALL POTENTIAL
RESULTS:
Additional time with update: 9 days
# of updated cases: ,379
Improvement potential: 35 %
SAVINGS:
9 days * 0,35 = 3 days
Please note: all screenshots used are merely exemplary and have not been taken from real customer data. Hence, they do not correspond with the calculations made in this business case.
3 Days SAVED

12. OVERVIEW
HOW IT WORKS
ROI CALCULATION
How to increase process efficiency by comparing the process variants of different offices?
ANALYSIS
MEASURES & POTENTIALS
The whole claim process should only take 50 days or less. A deep dive at different offices within the Shared Service Center, which has a considerably weak slow claims rate, uncovers an avg. throughput time (TPT) of 73 days at the Miami office. However the Detroit office has already reached the aim with an avg. of 48 days. A Benchmark comparison identifies that a claims adjuster was assigned in 11% of all cases of the Detroit Office, but in 53% cases in the Miami Office. This turned out to be the main reason for Mimi lagging in it´s performance. This finding helped to decrease the avg. TPT by 5 days for the Miami office.
OVERALL POTENTIAL
RESULTS:
Providing alternative transportation: 100€/day
Reduction potential: 5 days
# of affected claims cases: ,825
SAVINGS:
100€ * 5 days * 14,825 = 7,412,500 €/Year
Please note: all screenshots used are merely exemplary and have not been taken from real customer data. Hence, they do not correspond with the calculations made in this business case.
7.4 m € SAVINGS

13. How to avoid manual rework activities?
OVERVIEW
HOW IT WORKS
ROI CALCULATION
How to avoid manual rework activities?
ANALYSIS
MEASURES & POTENTIALS
With Celonis we identified a high number of rejections (32%) within the low amount group (claims up to 100€). In 64% of these cases a claims adjuster was involved in the decision. By identifying these cases, we were able to derived more specific directives to ensure that the bulk of those cases could be rejected without an assignment of a claims adjuster. The assignment rate could therefore be decreased to 20%.
OVERALL POTENTIAL
RESULTS:
# of cases per year: 24,012 % of cases with claim adjuster: 64%
Avg. effort per case: min
New rate of claim adjuster use: 20%
BEFORE:
(24,012 * 0,64) *30 min = 7,684 h/Year
SAVINGS:
7,684h – (24,012 * 0,2) *30 min = 5,283 h/Year = 3 FTE = 210,000€
1 FTE = 5 Days/Week * 8h * (52-5) Weeks/Year = Hours/Year = €
Please note: all screenshots used are merely exemplary and have not been taken from real customer data. Hence, they do not correspond with the calculations made in this business case.
210k € SAVINGS

14. How to identify and eliminate redundant process steps?
OVERVIEW
HOW IT WORKS
ROI CALCULATION
ANALYSIS
With Celonis we identified that in 10,139 cases (13%) the claim files were reopened after they were archived. This significantly increases needless manual rework. By identifying the root causes it could be proofed that they could have been avoided by clear guidelines at preliminary stages. We therefore were able to reduce this process step by 95%.
MEASURES & POTENTIALS
How to identify and eliminate redundant process steps?
OVERALL POTENTIAL
RESULTS:
Number of cases: 10,139
Avg. rework time : min
Realization potential: %
SAVINGS:
10,139 * 0,95 * 15 min = 2408 h = 1,3 FTE = 91,000€
Please note: all screenshots used are merely exemplary and have not been taken from real customer data. Hence, they do not correspond with the calculations made in this business case.
91k € SAVINGS

15. OVERVIEW
HOW IT WORKS
ROI CALCULATION
How to analyze manual rework activities and accelerate the throughput time by increasing the automation rate ?
ANALYSIS
MEASURES & POTENTIALS
With deep down analyses of different process steps, we identified multiple process steps, that could be automated by robotic process automation. Such as verify insurance coverage, allocate invoice and book invoice. Thus we were able to accelerate the overall throughput time by 30% with a low effort.
OVERALL POTENTIAL
RESULTS:
# of service orders: 143,062
Increase of automation rate: 30%
Avg. time of manual effort: 10 min
SAVINGS: ,062 * 0,3 * 10min = 7153 h = 4 FTE = 280,000€
1 FTE = 5 Days/Week * 8h * (52-5) Weeks/Year = Hours/Year = €
Please note: all screenshots used are merely exemplary and have not been taken from real customer data. Hence, they do not correspond with the calculations made in this business case.
280k € SAVINGS

16. Contact DE US NE
THERESIENSTR. 6
80333 Munich
Germany T F
164 West 25th Street, 9th Floor
New York, NY 10001
United States T
F +1 (212)
Sint Janssingel DA ‘s-Hertogenbosch The Netherlands T F