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Top Tips to deliver rapid Operational Excellence: For improved customer satisfaction and significant cost savings 11 th Sept. 2019 Paul Ruggier M: +44 (0)7775 752020 E: [email protected] https://www.linkedin.com/in/paulruggier/

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Top Tips to deliver rapid Operational Excellence:

For improved customer satisfaction and significant cost savings

11th Sept. 2019

Paul Ruggier

M: +44 (0)7775 752020

E: [email protected]

https://www.linkedin.com/in/paulruggier/

Agenda

1. Introduction and how to avoid false starts

2. Operational Excellence - Suggested implementation approach

3. Effectiveness of this approach -

4. Case studies and results achieved (GE Capital, Xchanging – Lloyd’s of London, BAE Systems, Deutsche Bank, Generali and HSBC)

5. Process Excellence Learnings

6. Automation (RPA) Learnings

7. Q&A

Paul Ruggier – an Introduction

Operational Transformation Capability & Process Excellence• Improved efficiency and effectiveness of ~40,000 Operations staff in ~50 countries• Helped deliver $150m P&L savings in 2018• Built, led and developed a team of ~360 Process experts to re-engineer key Customer Journeys,

improve processes, implement Operational Management Excellence and migrate 10,000 off-shore

HSBC

Global Head of Op. Ex & Automation• Built internal E2E and LSS capability across 18 European and 6 Asian Countries• Trained Sr. Leadership as Champions & coached 300 BB/GB’s to deliver €60m cumulative benefits• Introduced Robotics and AI following process optimisation

Founder & Global Head of Process Excellence• Founder Member; Helped take to IPO FTSE 250 (£660m Market Cap.) and 8,500 employees• More than €1b turnover operating in 16 countries• Helped achieve > 30% productivity improvement within 3 years in Xchanging Partnerships

Director of Quality (Six Sigma), Europe• Led Six Sigma for GE Capital’s 27 European businesses across 16 countries• Delivered over $70 million net income within the 1st two years• Presented personally, every Quarter, to former CEO Jack Welch

Head of Process & Quality, Europe, then USA• Implemented TQM in UK (HQ, oil rigs, refinery & service stations) then Europe• Shared Best Practice with Motorola (Six Sigma), Xerox, AT&T, Kodak, TI etc.• Achieved 30% productivity improvement at gas production plants in the USA

Sales & Marketing• Seven years in Sales and Marketing, then helped implement TQM

Generali

Xchanging

GE Capital

Texaco

Procter & Gamble

3

Effective Approach for Process Excellence & Automation – Avoiding False Starts

• Ensure total leadership commitment and drive - not just awareness

• Build self-sustaining capability beyond good project execution

• Develop senior execution team to build this self-sustainability

• Integrate and align programme to achieve business goals & strategy

• Drive empowerment and minimise bureaucracy

• Benefit sign-off by Governance / Finance

• Don’t confuse with regular project management or “Just Do It” projects

• “Steal shamelessly” and spread the adoption of best practices

4

Approach

Operational Excellence Programme Framework

Eliminate anything that is waste

Make it simple Optimise that whichhas been simplified

Automate that which has been optimised

Continuous Improvement (e.g. Lean Six Sigma / Agile) ProcessAutomation

Re-engineering of key Customer Journeys

It starts with a mindset change.

Ideally, don’t automate or migrate a ‘broken’ process

Create a winning mindset

5

Approach

C

Time (years)

6

5

4

2

3

Process

performance in

Sigma (σ)

Process design

& automation (STP)

Basic Lean Six

Sigma simplification

& standardisation

Elimination of re-

work & non-value

added activities

2 4 6

More rigorous Six

Sigma tools and

techniquesHuge “Prize” from

performance

Improvement from

2σ to 4σ

From ≈30% to less than 1% non-value-added activity

Lean Six Sigma- Still a powerful methodology to deliver rapid, rigorous results

6

Approach

LSS Capability Development Programme- Always dliverd greater than 4-fold return within the 1st year

All-employee

Master classes

Finance

Managers‘

workshop

Select and

start GB/BB

projects

GB/BB

Training

Week 1

Establish project

tracking

mechanism

Projects start

to deliver

‘quick wins‘

“Wave 2”

projects start to

deliver large £

benefits

“Wave 1”

projects start to

deliver large £

benefits

Month 3 Month 4 Months 7+Month 5 Month 6Month 1 and 2

Ongoing GB/BB and Champion coaching and reviews by MBBs

Identify potential

Projects &

establish pipeline

Identify deploy-

ment scope &

roadmap

Develop

‘Business /

Industry’ Map

Executive

Champion

Training

Identify &

appoint

BB/GBs

Results from Lean Projects/ ”Quick Wins”

GB/BB

Training

Week 3

GB/BB

Training

Week 2

Set up

Governance incl.

Project/Program

review process

7

Wave 2

projects are

initiated

Wave 1

project

learnings Acceptance of

CI culture

spreads

LSS Capability

begins to get

institutionalised

Approach

Xchanging: History of ‘Enterprise Partnerships’- Same Operational Excellence approach was applied to all

• 400 employees, 8-year

• Retail investment account management • 1.5m investment accounts and €30bn of

assets under mgt.£500M

• 850 employees, 12-year

• €150m annual cost base• 2 million securities transactions per day

(approx. $3billion in value) across Europe

€1.5Bn

• 600 employees, 10-year

• HR & Procurement • £20m annual cost base

£1.0Bn

• 500 employees, 10-year

• Insurance claims administration accounting, and settlement

£350M

• 700 employees, 10-year

• Policy & premium processing for the London insurance mkt.

£700M

• 220 employees, 10-year Insurance claims adjustment and management £500M

• Finmeccanica,

• United Biscuits,

• National Australia Bank

• Boots

• QBE,• Allianz, • Zurich, • AXA

• Cooper Gay,• Aon Benfield• Lockton

• Citibank• Sparda-Banken• Sal Oppenheim• Berliner Bank

• Argentos• Pioneer Investments• HypoVereinsbank• Deutsche Vermogens-

bertatung• Veritas

• Ace• Catlin• BRIT Insurance• Travellers

3rd Party Revenue ExamplesPartner Detail Contract Value

• TargoBank• NetBank

8

Effectiveness

Xchanging’s Drivers of value- Process & Automation was key within its model (40%)

10

20

30

40

50

60

70

80

90

100

1 2 3 4 5 6 7 8 9 10

Day

1 C

ost

Bas

e (%

)

Operating Year

White Space

Arbitrage

Aggregation

Process (Lean Six Sigma) and Automation.

At least 40% productivityimprovement

Service simplification1

2

3

4

5

time

9

Effectiveness

Xchanging: Deutsche Bank Transaction Bank- Greater than 20% Productivity achieved from the seven Competencies in < 2 years

10

Savings in % of Day 1 Year 1+2 Year 3-12 Total

Process 4,7% 14,7% 19,4%

Environment 1,8% 1,4% 3,2%

Service 1,3% 0,4% 1,6%

People 0,0% 0,0% 0,0%

Implementation 0,8% 0,0% 0,8%

Technology 8,4% 4,3% 12,7%

Sourcing 4,3% 0,4% 4,7%

Total 21,3% 21,2% 42,4%

Savings delivered

In 1st 2 years

Case Study

Xchanging: London Insurance Market- We started with a high-level map which “simplified complexity”!

Clie

nt / C

lient R

epre

senta

tive

Bro

ker

Xch

angin

g B

roke

r S

erv

ices

(XB

S)

Bure

au C

arr

ier

Xch

angin

gN

on-B

ure

au C

arr

ier

FS

A

Quote Placing Signing down Closing and Settlement Policy Claims & Treaty

Risk to

insure

Review and

capture details

Create

quote

document

ation

Market

submission

Select

Market

Review

documentsQuote?

Capture

brief

details

Yes

Provide

quote to

broker

Accept

quote?

Decline

quote

No

Notify

broker

Yes

Create firm

order

document

ation

Place with

Leader

Write line

Data

capture

Place with

following

market

Write line

Data

capture

Broker

completes

placing

Captures

final

details

Sign down

Produce Cover

note and Debit

note

Stop

Create

signing

documents

Send to

XIS

Review

and

capture

details

Errors?Return

paper docs

to broker

No

File

Output

messages to

W/S broker and

underwriter

Limited

knowledge of

NTU'd items

As few as 25%

of quotes may be

progressed

May be negotiation

on coverage

Average 3

syndicates

per slip

U/wtr

not

notified

Inform client

placing

complete

Paper

documents

Resolve

queries

Yes

Check

complete

Pays

premium

LIDS/PoSH LIDS/

PoSH

Tracker

Lloyd's

regulatory

reporting

Review

Review

Create

policy

Submit to

Underwrit

er

Review

policyQueries

Submit to

XIS

No

Review/Cr

eate policy

Communic

ate to

Broker

No

ReviewProposal and

supporting info

SLIP incl

Proposal and

supporting info

3 to 4 quotes

per slip

Create

own files

Note as

NTU

Advise

U/Wtr

Stop

Queries

Resolve

queries

Yes

Sign and

seal

No Return to

broker

Leader may retain

agreed copy

No advice or copy of

policy to Underwriter

Of policies signed

Average 3 Months

after inception

(excl legacy policies)

Many Policies not

supplied to client

34% error

rate

Delays whilst U/wtr

checks policy

May be created by Client,

Broker,

XIS or Carrier

144,000 policies

submissions

per annum

Data

Warehouse

Limited process to

advise Underwriters

of signed lines

Resolve

queries

Yes

110,000 Original

premium

entries per annum

(new and renewals)

Update

filesUpdate

files

Broker

captures all

data required

Underwriter

captures

minimal data

All

Underwriters

captures all

data

required

Error rate Front

office to back

office up to 60%

error rate

XIS capture all

data required

Load data

to system

UK "As-Is" London Market Insurance Industry Process Map

Snapshot of documents

when agreed.

No final version

Mismatch

to Placing

data

Rework to

resolve

XIS

queries

Signed lines

output

to Underwriters

No advice or

copy of policy

signed to

underwriter

Policy

with client

XIS produce 10,000

policies per annum

(Lloyd's only)

Financial

reconciliati

on

File

9% error

rate

Reports to Lloyd's used to

report to UK and Overseas

regulators

Broker supply

of information

to FSA

regarding

various stages

of the process

INCEPTION

DATE

35% of OPs are

delinked

Estimated only

30% are notified

Broker

places

elsewhere

Output messages to

broker and underwriter

Problems of

unallocated

cash

Contract

Certainty

achieved

Priority of

legacy Vs live

policies

(250,000 legacy

policies O/S)

LIDS/PoSH

Broker system

Carrier system

Carrier system

Carrier

systemCarrier

system

Carrier system

Process

settlement

Average 15 days

5 days Service level

5 days Service level

"Contract certainty is achieved by the complete

and final agreement of all terms (including

signed lines)

between the insured and insurers before

inception" (Interim definition)

35 days processing cycle

Average 60 days

5 days cycle

Average 3 days

Average 10 days

Average 25 days

Average 119 days

10 days (if

error free)

Average 137 days

after inception

Average 10 days (if error free)

Inception date may be within this range

1st

confirmation to

underwriter of

signed lines

and premium

Broker's Authority

to process

Up to 60%

mismatch

rate

Settlement

of

premium

Settlement

of

Premium

Approx 100 fields

to complete

© Xchanging 2005, no part of t his document may be circulated, quoted or reproduced wi t hout prior w rit t en approval of Xchanging.

KEY

Data capture

point

Decision pointKey

observation

Xchanging

system

New documentProcess step

UMR

Allocated

Risk

Registration

Not being populated

by all underwriters

Leader

registers

electronically

Record based

on UMR

SLIP

SLIP

Copy

SLIP Copy

SLIP

SLIP &

LPAN

53,000 items

registered in 2004

60,000 policies

signed

per annum

500,000 all premium

entries per annum

(OPs and APs) 1,900,000 Syndicate

advices output per

annum

Broker

system

Carrier

system

Reconcile

to risk

records

Agree?

Book to

debtor

ledger

Yes

Xchanging

process?

Yes

Submit to

carrier

No

Load

settlement

to ledgers

Claims

notification/

Treaty account

Technical

validation

of claim or

advice

Claims

negotiation

&

agreement

Request

payment

via

Xchanging

Request

payment

Client payment

& LORS mess'

Reconcile

payment

Unmatche

d cash

Client paid

Match?No

Management

and

authorisation of

payments

Credit control /

reolve cash

queries

Review

and agree

claims for

follow

market Process claim

and collect

from Carriers

Review

and agree

claims

Process

claim and

pay Broker

Capture

details of

claim in

systems

CLASS

Carrier

system

Management

& authorisation

of payments

Render to

U/W

Management of

receipts to

debtor ledgers

Resolve

queries

No

Carrier system Carrier system

Settlement

Present to

carrier

Issues to

resolve?

No

Bureau

Market?

Yes

No

Lloyd's

No

Yes

Issues with

claim?

No

Resolve

issues

Yes

Trigger

settlement

to Broker

via CA

Carrier system

Pay

premium

London Market

policy?

Yes

Send

policy to

client

No

Match?

Yes

Match to

Ledgers

Resolve

issues

No

Approx 20%

processed to

XIS

Authorise

claims

payment

Paper and electronic

processing

5 days Service level

500,000 Lloyd's

claims submissions

per annum to XCS

100,000 company

claims submissions

per annum

Broker supply

of information

to FSA

regarding

various stages

of the process

Broker supply

of information

to FSA

regarding

various stages

of the process

Broker supply

of information

to FSA

regarding

various stages

of the process

Multiple

markets may

be involved in

the process

Error rate for

matching cash?

Rework

loop

Broker to

carrier

Rework

loop

Broker to

Xchanging

Rework loop

Broker to carrier / AON / Client

Issues include errors by XBS as well as

Broker. Specialty Live would refer back to

AON.

Rework loop

Broker to

Xchanging

Rework loop to reconcile

Reconcilia

tion to

ledgers

Match?

Yes

Resolve

issues

No

Reconcile?

Yes

No

Errors?

No

Query

with

Broker

Yes

Resolve

queries

May result in

resubmission

RI or specialty?

Re Insurance

Check & analyse

(systems / coverage)

Check & Analyse

(Coverage)

Specialty

Check and analyse

(Systems)

Settlement?

No

Create A/C entry

Yes

RI or Specialty

Re Insurance

Technical

validation

of claim or

advice

Present to

carrier

Specialty

Query?

No

80% of RI queries are handled direct ly with the client, 80% of specialty queries are handled via AON

Approx 70 FTE in AON handling negotiation and queries

Resolve Issues

Resolve Issues

Via IBM Warwick to XBS

Request

payment of

premium

Premium processing was

previously within scope of client

operations. Approx 80 FTE carrying

out this function in AON

Queries with

payment

No

Resolve query with client or

pass to AON

Resolve Query

Resolve QueryYes

Bureau

No

Delinked?

Aviation?

Yes

Yes

No

No

Sectornet?

No

Credit control

Yes

Duplication of in scope activity

Duplication of in scope activity for delinking releases

XIS XCS

Expert Fees Payment Service (EFS). Within XIS but interaction with XCS for Lloyd's payments

Element of expert fees payment within XBS although not paid for by the experts

Live or Discontin

ued

Live

Smart Process: Prioritise bases on £ /

Client / Age / Complexity etc

Discontinued

Depending on Priority discontinued items may take up to 31 days to process. Priority items will move through as quickly as 1 day

Live or Discontinued

Live

Discontinued

May be an opportunity to better manage priorit isat ion to increase chances of complet ing payment

Yes Can it be resolved with

Client?

Yes

No

Can it be resolved in

XBS?

Resolve issue

Yes

Yes

RI or specialty?

Re Insurance

Specialty

Issue resolution process

No

Some queries would go out to AON and back into another area of XBS. Possible opportunity to remove unnecessary hand offs

Need for improved visibility of incoming

issues to enhance quality management and

recognise extra effort from legacy issues.

This is needed at all input points and would

form backbone of quality management

infrastructure.

Additionally the management of issues and

queries needs to be enhanced to ensure that

issues are dealt with in a timely and efficient

manner

Criteria for classif icat ion of discontinued versus live needs more clarity

Report ing is not standardised across Specialty and RI, Discontinued and Live. This leads to inconsistencies, NVA and duplicat ion of effort .

Some data on effort for report ing exists in Act ivity Analysis

A number of dif ferent tracking tools are in use. The tools are not always used effect ively leading to unnecessary queries.

Data exists on this regading volumes of queries / chasers and eff fort required to resolve

Claims processing for Aon Professional Risks (APR) Still retained in AON. Approx 60 FTE

Request

payment of

premium

Sectornet

Yes

No

Reconciliation carried out in Branch for Sectornet

Delinked?Yes

Wait for premium to

be paid

No

Premium Paid

Release delinked

item

Release delinked

item

Yes

Non delinked items

USM

BSM

11

Case Study

Xchanging: BB Project Example- Significant results delivered within 8 weeks from typical BB project

Observation

Ind

ivid

ua

l V

alu

e

28252219161310741

7000

6000

5000

4000

3000

2000

1000

0

_X=339

UCL=1214

LB=0

1 2

I Chart of Zeit by C3

Target

‚Quick

Wins‘

‚Quick

Wins‘„ old“ process„ old“ process

Learning

phase

Learning

phase

Steady process;

af ter go live of the

improvement

Steady process;

af ter go live of the

improvement

Before

After

Project Results:

• Financial Savings: € 240,000

• Process steps reduced by 48%

• Cycle time reduced by 74%

More than a hundred similar projects completed while building capability

12

Case Study

Generali: Within three years, built solid platform of 260 Lean Six Sigma GBs (p-t) & BBs (f-t) across 24 BU & Countries, plus APAC to deliver benefits and accelerate RPA initiatives

Numbers of BB/GB’s trained in respective countries#

Other 2014 2015 2016Plan 2017 Total

Active 2017

Italy 12 2 1 15 5

Germany 38 4 18 2 3 65 38

France 8 8 11 9 36 26

Switzerland 12 3 1 16 6

Spain 1 1 2

Belgium 2 2 0

Turkey 2 2 2

Austria 3 3 3

Ireland 6 1 12 19 9

Guernsey 1 1 2 0

Czech Republic 1 2 7 3 13 9

Hungary 2 2 4 4

Poland 3 3 6 2

Bulgaria 1 2 3 3

Slovakia 2 2 2

Croatia 1 1 0

Serbia 2 2 2

Romania 1 1 1

EA 9 3 5 17 4

GC&C 7 4 5 4 20 10

GEB 1 1 1

GIE 10 2 12 10

GHO 1 5 6 4

GSS 2 1 6 5 14 5

Total 47 55 62 59 40 263 148

42

14

2

7

16

23

4

2

76

8

43

1

2

3

1

Guernsey

2

23

14

2

13

Case Study

Generali: Within three years, completed 155 LSS projects delivering €20m annualised benefits, €60m cumulative and strong base for RPA

Cumulative Benefits Realised Through 2017

In-Y

ear

Ben

efit

s(E

UR

M's

)

2014 2015 2016 2017 CUMULATIVE

Completed in 2014 0.02 0.49 0.49 0.49 1.50

Completed in 2015 2.78 14.94 14.94 32.67

Completed in 2016 8.37 20.73 29.10

DELIVERED In-Year 0.02 3.27 23.81 36.17 63.27

Projects Completed in 2016

Cost Savings

Revenue Enhance-

ment

Total Annualised

Benefit

Germany 61 8.82 0.41 9.22

GC&C 10 0.33 2.79 3.12

France 16 1.56 0.95 2.51

CEE** 21 1.89 0.33 2.21

Switzerland 9 1.32 0.00 1.32

Spain* 3 0.59 0.00 0.59

GIE 7 0.36 0.00 0.36

Asia 17 0.30 0.00 0.30

EA 5 0.10 0.20 0.30

Austria* 3 0.28 0.00 0.28

Ireland* 2 0.27 0.00 0.27

Italy (Claims) 1 0.25 0.00 0.25

155 €16.07m €4.67m €20.73m

77% 23%

* New LSS programslaunched in 2016

** New LSS programslaunched in 2016 inSerbia and Romania

Proven benefits include:- Cost savings- Cost avoidance- Revenue

enhancement

14

Case Study

Generali: RPA was energized and implemented via the LSS Programme

Enhanced the Executive Champion Training by adding practical elements of Robotic Process Automation to show:

• How a process, once improved through LSS, can be optimised further

• How RPA can improve quality through improved consistency and standardisation

• How RPA can be used to improve the data available from the process

Strengthened the Black/Green Belt training with RPA by:

• Introducing links to RPA at all stages of the DMAIC cycle with dedicated RPA training and certification

• Dedicating a day to implementation of RPA and the practical support by the central team

• Demonstrating how RPA can be applied to a real process, ideally one of the training projects in the group

Added RPA as a topic in the project and program reviews held with Belts and Senior Management to:

• Improve visibility of RPA as a potential solution

• Ensure that RPA opportunities in LSS projects are identified early

• Sustain the benefits from RPA over the long term

15

Case Study

Process Excellence Operating Model

Process Excellence

CapabilitiesStandardsToolsMethods

Automation Services

Automation

Serv

ice

sEn

able

rs

Centre of Excellence

Customer Journeys and

End-to-EndProcess

Re-Engineering

Process Improvement

Operational Management

ExcellenceMigrations

Change & Implementation

Data Insights & Analytics

Provision of Resource

Capacity

16

Case Study

Global Roll-out of Process Excellence - Mobilisation, Training & Project Identification

17

Our Services

Re-work loops

Manual re-keying

Duplication

of tasks

Paper inputs and

outputs and

digitalisation/ de-

digitalisation of data

Process data:

cycle time,

defect rate,

volumes, etc.

Many hand-

offs

Multiple IT systems

may not talk

Customer Journey Re-Engineering and Identification of Opportunities Example

Developed in two half-day workshops

18

Case Study

Process Excellence Learnings & Good Practices

• Belts let loose to find and deliver projects Vs Leadership team ownership and responsibility

Top Down as well as Bottom Up approach

• Versus confining to improvements within Operations with limited front-end inputs

Engage more with Front office in real E2E

• Don’t shortcut to solutions by omitting fundamental tools to understand the process

Address the reluctance to conduct high-level Process mapping

• Belts cannot adequately focus on multiple projects at the same time; else, delivery per project results in low project completion and yield

Identification and Delivery of substantial projects

• Black Belts should not be distracted in training Green Belts or Yellow Belts, or other tasks not related to their projects

Belts should focus totally on delivering results

• They are key to ensuring projects have correct scope, to deliver required savings, right tools are used and Champion support to deliver benefits

Provide appropriate MBB Resource

19

Learnings

RPA Learnings & Good Practices

20

EFFECTIVENESS

• Leverage previous work on Process Improvement (e.g. LSS)

• Use proper framework and proper approach for creating a self-sustaining programme

• Be aggressive - Plan for scalability - prepare to industrialise (reusable components)

• Have a strong process for qualifying opportunities quickly

EEFICIENCY

• Ensure Quick ROI – most businesses targeting < 1 year ROI, with some even after 2-3 months

• Focus initially on tactical implementation for quick wins to deliver long-term success

• Ensure high robot (licence) utilisation on a single unattended (back-office) licence

• Link to advanced technologies: digitisation at source, AI/cognitive

DO’s

• Focus on pain points to drive the business to realise quick incremental benefits

• Identify opportunities where additional capacity is required and have quality issues, whatever the opportunity size

• Ensure organisational alignment that will drive success (Ops vs IT)

• Use right techniques for data collection

DON’T’s

• Don’t bite off too much in the first go and keep it simple - Start small and expand

• Don’t fall into the trap of doing a POC for every group/area or focus on ‘pilots’

• Don’t be afraid to stop along the journey if a process is not suitable for automation

• Avoid automation to speed up a defective / broken process

Learnings

Q & A

21