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The Impact Of Robo-advice On
Financial Advisers: A
Qualitative Case Study
Crispin Coombs & Alex Redman
Loughborough University
c.r.coombs@lboro.ac.uk
23rd UK Academy for Information Systems International Conference 20th-21st
March 2018, Oxford
Introduction
•  Significant recent technological developments concern the
application of robotics and Artificial Intelligence (AI) to jobs that up to
now have been considered safe from automation
(Brynjolfsson & McAfee 2016)
•  Role of the financial adviser is one such role that has been identified
as being under threat from automated robo-advice services
(Davenport & Kirby 2016)
Financial advisers vs Robo advisers
•  Professional financial advisers
–  Gather detailed information about a client’s circumstances, goals and attitudes to risk
–  Identify and recommend different financial product portfolios that are suitable for the
client
•  Robo-adviser services
–  Provide financial advice with minimal human intervention
–  Use simple surveys to profile clients and to assess their needs
–  Client’s chosen asset allocation portfolio is adjusted and implemented and portfolios
are monitored, rebalanced and reported for the duration of the relationship
–  E.g. Scalable Capital, Nutmeg
Debate over future of financial advisers
•  Financial advisers will become
obsolete unless value can be
added beyond simply providing
portfolio maintenance
(Randy Cass, founder of Net Wealth,
European Investment Conference
2017)
•  In a market downturn, robo-
advice will offer no
reassurance or human comfort
(Economist, 2015)
•  What clients appear to want is
simple human interaction
(Scott Smith from Cerlulli, 2017)
Literature – robo advisers
•  Robo-advisers currently only control a small share of assets under
management (AUM) but can offer cost savings of up to 70%, resulting in
rapid and accelerating growth
–  Accenture (2015)
•  Reduce the mistakes made by human investors when dealing with
money
–  (Economist, 2015)
•  Human advisers may also provide the wrong advice
–  (Beilfuss 2017)
Literature – human financial advisers
•  ‘Money is emotional and there are always intangibles to consider in deciding what to do
next, which cannot be captured by robots’
Carla Dearing, CEO of SUM180, online financial planning service (Metinko 2017)
•  Simple needs may be met with robo-advice, more complex financial planning may best sit
with human financial advisers
(Economist 2015)
•  Most cited reasons for using a human adviser: ‘their willingness to take the time to
understand my needs and goals’ and ‘to look at my entire financial picture’
(WSJ 2017)
•  Investors begin by using online tools to get a basic understanding of their needs but then
look to talk to a human to discuss them
(WSJ 2017)
Research gap and question
•  Many trade papers on technology and robo-advice that are useful in
explaining theoretic capabilities of robo-advice but limited examples
of actual use in businesses
•  How might robo-advisers impact on the role of human financial
advisers?
Service theory
•  Relationship between a customer and a firm is based on a series of
encounters, and it is these encounters that determine the
customers’ perception of the quality of the firm and the likelihood of
continuing the relationship
Voorhees et al. (2017)
•  Technology fundamentally changing the service encounter
(Larivière et al. 2017)
Service encounters through the service experience Voorhees et al. (2017)
Pre-Core Service
Encounter
Communication
Information Search
Initial Contact
Onboarding
Core Service
Encounter
Core Interactions
Environment
Post-Core Service
Encounter
Service Recovery
Efforts
Reviews
Crowdsourcing for New
Service Development
Recommendation
SERVICE EXPERIENCE
Method
•  Exploratory qualitative case study
approach
•  Wealth management firm
(WealthCo)
–  network of financial advisers
–  sole traders, medium size
businesses and large businesses.
–  services include insurance,
mortgages, inheritance tax,
retirement planning or investment for
growth.
•  Data collection April 2017 and
June 2017
•  Five semi-structured interviews
–  (2 ST, 2 M, 1 L)
•  Questions addressed
–  process of initial contact and
attracting new clients
–  servicing and maintaining the
relationship with the client
–  understanding routine information
gathering tasks
Findings - Initial contact and first meeting (Pre-Core
Service Encounter)
•  Early stages of initial contact with a customer crucial
–  Face to face, build foundation for relationship
•  Establishing rapport and responding to social cues
•  Gather immediate informal feedback of customer attitudes and
preferences to advisers words and body language
•  Demonstrate empathy and understanding to establish client trust
Findings - Initial contact and first meeting (Pre-Core
Service Encounter)
•  ‘One of the main things is empathy. If you can find something in
common with them or something are really interested in it doesn't
take much to build rapport. And once you've got rapport you've got
trust.’
Findings - Establishing client needs and servicing
(Core Service Encounter)
•  Follow up meeting to understand client needs
•  Ability to probe and respond to client answers
–  gain a deep understanding of the client
–  more effective than online form
•  Ongoing relationship with an adviser to discuss changing
circumstances
•  Provision of reassurance and advice to clients
–  built on strong understanding and empathy with the client’s needs and
circumstances
Findings - Establishing client needs and servicing
(Core Service Encounter)
•  ‘The question will take [the client] back into that state when they
were interested [in receiving financial advice].’
•  ‘Questioning identifies other needs they [the client] didn't know they
had previously.’
•  ‘The majority of people are apathetic [towards financial decision
making] and won’t do it for themselves, they need someone to ask
and prompt them.’
•  ‘Clients need that reassurance and human contact and robo-advice
won’t give you that!’
Findings - Implementing investment decisions (Post-
core service encounter)
•  Processing information recorded from client
–  generating bespoke client communications
–  ensuring cumulative interaction points contribute to high quality client experience
•  Information capturing and processing tasks could be enhanced
through technology
Findings - Financial advisers’ views on robo-advice
•  Not a threat
•  Unable to deliver the high quality and personal relationship
•  Unable to replicate the catalyst of a face-to-face meeting that clients
need to devote time to financial planning
•  Unable to discuss and probe the client’s personal and financial
situation and set that in context
•  Increasingly complex financial investment environment would be
difficult to reflect in robo-advice
Discussion
•  A human worker can insulate themselves from automation by
focusing on skills that robots and artificial intelligence find difficult
–  Davenport and Kirby (2016)
•  ‘Softer skills’
–  demonstrating empathy with other people
–  being creative
–  responding to social cues
–  undertaking sophisticated social interactions
Summary of Financial Service Encounters at WealthCo
(Voorhees et al. 2017)
Pre-Core Financial
Service Encounter
Initial communication
with client
First face to face
meeting –empathy /
trust
Onboarding clients
Core Financial Service
Encounter
Establishing client needs
face to face - probing.
Servicing client needs:
•  Providing
reassurance /
empathy
•  Reviewing financial
circumstances
Post-Core Financial
Service Encounter
Information processing
Bespoke
communication
FINANCIAL SERVICE CLIENT EXPERIENCE
Summary of Financial Service Encounters at WealthCo
(Voorhees et al. 2017)
Pre-Core Financial
Service Encounter
Initial communication
with client
First face to face
meeting –empathy /
trust
Onboarding clients
Core Financial Service
Encounter
Establishing client needs
face to face - probing.
Servicing client needs:
•  Providing
reassurance /
empathy
•  Reviewing financial
circumstances
Post-Core Financial
Service Encounter
Information processing
Bespoke
communication
FINANCIAL SERVICE CLIENT EXPERIENCE
Empathy /
trust /
social cues
Empathy /
reassurance /
probing
Summary of Financial Service Encounters at WealthCo
(Voorhees et al. 2017)
Pre-Core Financial
Service Encounter
Initial communication
with client
First face to face
meeting –empathy /
trust
Onboarding clients
Core Financial Service
Encounter
Establishing client needs
face to face - probing.
Servicing client needs:
•  Providing
reassurance /
empathy
•  Reviewing financial
circumstances
Post-Core Financial
Service Encounter
Information processing
Bespoke
communication
FINANCIAL SERVICE CLIENT EXPERIENCE
Repetitive /
predictable
tasksEmpathy /
trust /
social cues
Empathy /
reassurance /
probing
Discussion
•  Several service encounter activities that may well be suitable for future automation
–  Bespoke communications to clients
–  Faster information processing
–  Investment information for advisers to derive their advice
•  Emerging number of firms that offer hybrid services pairing computerized services
with hand-holding from human advisers
(WSJ 2016)
•  Role of the human financial adviser is more likely to be augmented by new
technology, rather than substituted by the new technology
(Larivière et al. 2017).
Conclusion
•  Wealth management firms need to think strategically about how they
wish to design the service encounter with their clients
–  balance between human and technological inputs
•  Preferred combination of technology–human capabilities is likely to
evolve over time
•  Technology may not always be the preferred option because of its
creative and social limits
Frey & Osborne (2017)
Limitations and future research
•  Sample size is small and only comprises of wealth managers from a
single firm in the UK
•  Next stage of this study will involve collecting data from client
experiences of using financial advisers and robo-adviser services to
provide a fuller understanding of the potential impacts of robo-
advice.
References•  Accenture (2015) The Rise of Robo-Advice: Changing the Concept of Wealth Management, Available from: https://
www.accenture.com/_acnmedia/PDF-2/Accenture-Wealth-Management-Rise-of-Robo-Advice.pdf [Accessed 10 Dec 2017].
•  Beilfuss, L. (2017) Morgan Stanley Launches ‘Robo’ Advice Service, The Wall Street Journal, Available at : https://
www.wsj.com/articles/morgan-stanley-launches-robo-advice-service-1512396001 [Accessed 12 Dec 2017].
•  Brynjolfsson, E. & McAfee, A., 2016. The Second Machine Age - Work, Progress, and Prosperity in a Time of Brilliant
Technologies, WW Norton & Co.
•  Cass, R. (2017). The Next Stage for Robo-Advisers. [online] European Investment Conference. Available at: https://
eic.cfainstitute.org/2017/01/10/the-next-stage-for-robo-advisers/ [Accessed 19 Jul. 2017].
•  Davenport, T.H. & Kirby, J., 2016. Only Humans Need Apply: Winners and Losers in the Age of Smart Machines, New York:
Harper Business.
•  Economist.com. (2015). Does not compute - The growth of firms selling computer-generated financial advice is slowing.
[online] Available at: https://www.economist.com/news/finance-and-economics/21677245-growth-firms-selling-computer-
generated-financial-advice-slowing-does-not [Accessed 16 Jul. 2017].
•  Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation. Technological
Forecasting and Social Change, 114, 254–280.
•  Larivière, B. et al., 2017. “Service Encounter 2.0”: An investigation into the roles of technology, employees and customers.
Journal of Business Research, 79, pp.238–246.
•  Metinko, C. (2017). Why robo-advisers will not replace human financial advisers. [online] TheStreet. Available at: https://
www.thestreet.com/story/14007258/1/why-robo-advisers-will-not-replace-human-financial-advisers.html [Accessed 28 Jul.
2017].
•  Voorhees, C.M. et al., 2017. Service encounters, experiences and the customer journey_ Defining the field and a call to
expand our lens. Journal of Business Research, 79, pp.269–280.
•  WSJ. (2016). Can Robo Advisers Replace Human Financial Advisers?. The Wall Street Journal [online] Available at: https://
www.wsj.com/articles/can-robo-advisers-replace-human-financial-advisers-1456715553 [Accessed 16 Jul. 2017].

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The Impact of Robo-Advice: A Study of How Automation Affects Financial Advisers

  • 1. The Impact Of Robo-advice On Financial Advisers: A Qualitative Case Study Crispin Coombs & Alex Redman Loughborough University c.r.coombs@lboro.ac.uk 23rd UK Academy for Information Systems International Conference 20th-21st March 2018, Oxford
  • 2. Introduction •  Significant recent technological developments concern the application of robotics and Artificial Intelligence (AI) to jobs that up to now have been considered safe from automation (Brynjolfsson & McAfee 2016) •  Role of the financial adviser is one such role that has been identified as being under threat from automated robo-advice services (Davenport & Kirby 2016)
  • 3. Financial advisers vs Robo advisers •  Professional financial advisers –  Gather detailed information about a client’s circumstances, goals and attitudes to risk –  Identify and recommend different financial product portfolios that are suitable for the client •  Robo-adviser services –  Provide financial advice with minimal human intervention –  Use simple surveys to profile clients and to assess their needs –  Client’s chosen asset allocation portfolio is adjusted and implemented and portfolios are monitored, rebalanced and reported for the duration of the relationship –  E.g. Scalable Capital, Nutmeg
  • 4. Debate over future of financial advisers •  Financial advisers will become obsolete unless value can be added beyond simply providing portfolio maintenance (Randy Cass, founder of Net Wealth, European Investment Conference 2017) •  In a market downturn, robo- advice will offer no reassurance or human comfort (Economist, 2015) •  What clients appear to want is simple human interaction (Scott Smith from Cerlulli, 2017)
  • 5. Literature – robo advisers •  Robo-advisers currently only control a small share of assets under management (AUM) but can offer cost savings of up to 70%, resulting in rapid and accelerating growth –  Accenture (2015) •  Reduce the mistakes made by human investors when dealing with money –  (Economist, 2015) •  Human advisers may also provide the wrong advice –  (Beilfuss 2017)
  • 6. Literature – human financial advisers •  ‘Money is emotional and there are always intangibles to consider in deciding what to do next, which cannot be captured by robots’ Carla Dearing, CEO of SUM180, online financial planning service (Metinko 2017) •  Simple needs may be met with robo-advice, more complex financial planning may best sit with human financial advisers (Economist 2015) •  Most cited reasons for using a human adviser: ‘their willingness to take the time to understand my needs and goals’ and ‘to look at my entire financial picture’ (WSJ 2017) •  Investors begin by using online tools to get a basic understanding of their needs but then look to talk to a human to discuss them (WSJ 2017)
  • 7. Research gap and question •  Many trade papers on technology and robo-advice that are useful in explaining theoretic capabilities of robo-advice but limited examples of actual use in businesses •  How might robo-advisers impact on the role of human financial advisers?
  • 8. Service theory •  Relationship between a customer and a firm is based on a series of encounters, and it is these encounters that determine the customers’ perception of the quality of the firm and the likelihood of continuing the relationship Voorhees et al. (2017) •  Technology fundamentally changing the service encounter (Larivière et al. 2017)
  • 9. Service encounters through the service experience Voorhees et al. (2017) Pre-Core Service Encounter Communication Information Search Initial Contact Onboarding Core Service Encounter Core Interactions Environment Post-Core Service Encounter Service Recovery Efforts Reviews Crowdsourcing for New Service Development Recommendation SERVICE EXPERIENCE
  • 10. Method •  Exploratory qualitative case study approach •  Wealth management firm (WealthCo) –  network of financial advisers –  sole traders, medium size businesses and large businesses. –  services include insurance, mortgages, inheritance tax, retirement planning or investment for growth. •  Data collection April 2017 and June 2017 •  Five semi-structured interviews –  (2 ST, 2 M, 1 L) •  Questions addressed –  process of initial contact and attracting new clients –  servicing and maintaining the relationship with the client –  understanding routine information gathering tasks
  • 11. Findings - Initial contact and first meeting (Pre-Core Service Encounter) •  Early stages of initial contact with a customer crucial –  Face to face, build foundation for relationship •  Establishing rapport and responding to social cues •  Gather immediate informal feedback of customer attitudes and preferences to advisers words and body language •  Demonstrate empathy and understanding to establish client trust
  • 12. Findings - Initial contact and first meeting (Pre-Core Service Encounter) •  ‘One of the main things is empathy. If you can find something in common with them or something are really interested in it doesn't take much to build rapport. And once you've got rapport you've got trust.’
  • 13. Findings - Establishing client needs and servicing (Core Service Encounter) •  Follow up meeting to understand client needs •  Ability to probe and respond to client answers –  gain a deep understanding of the client –  more effective than online form •  Ongoing relationship with an adviser to discuss changing circumstances •  Provision of reassurance and advice to clients –  built on strong understanding and empathy with the client’s needs and circumstances
  • 14. Findings - Establishing client needs and servicing (Core Service Encounter) •  ‘The question will take [the client] back into that state when they were interested [in receiving financial advice].’ •  ‘Questioning identifies other needs they [the client] didn't know they had previously.’ •  ‘The majority of people are apathetic [towards financial decision making] and won’t do it for themselves, they need someone to ask and prompt them.’ •  ‘Clients need that reassurance and human contact and robo-advice won’t give you that!’
  • 15. Findings - Implementing investment decisions (Post- core service encounter) •  Processing information recorded from client –  generating bespoke client communications –  ensuring cumulative interaction points contribute to high quality client experience •  Information capturing and processing tasks could be enhanced through technology
  • 16. Findings - Financial advisers’ views on robo-advice •  Not a threat •  Unable to deliver the high quality and personal relationship •  Unable to replicate the catalyst of a face-to-face meeting that clients need to devote time to financial planning •  Unable to discuss and probe the client’s personal and financial situation and set that in context •  Increasingly complex financial investment environment would be difficult to reflect in robo-advice
  • 17. Discussion •  A human worker can insulate themselves from automation by focusing on skills that robots and artificial intelligence find difficult –  Davenport and Kirby (2016) •  ‘Softer skills’ –  demonstrating empathy with other people –  being creative –  responding to social cues –  undertaking sophisticated social interactions
  • 18. Summary of Financial Service Encounters at WealthCo (Voorhees et al. 2017) Pre-Core Financial Service Encounter Initial communication with client First face to face meeting –empathy / trust Onboarding clients Core Financial Service Encounter Establishing client needs face to face - probing. Servicing client needs: •  Providing reassurance / empathy •  Reviewing financial circumstances Post-Core Financial Service Encounter Information processing Bespoke communication FINANCIAL SERVICE CLIENT EXPERIENCE
  • 19. Summary of Financial Service Encounters at WealthCo (Voorhees et al. 2017) Pre-Core Financial Service Encounter Initial communication with client First face to face meeting –empathy / trust Onboarding clients Core Financial Service Encounter Establishing client needs face to face - probing. Servicing client needs: •  Providing reassurance / empathy •  Reviewing financial circumstances Post-Core Financial Service Encounter Information processing Bespoke communication FINANCIAL SERVICE CLIENT EXPERIENCE Empathy / trust / social cues Empathy / reassurance / probing
  • 20. Summary of Financial Service Encounters at WealthCo (Voorhees et al. 2017) Pre-Core Financial Service Encounter Initial communication with client First face to face meeting –empathy / trust Onboarding clients Core Financial Service Encounter Establishing client needs face to face - probing. Servicing client needs: •  Providing reassurance / empathy •  Reviewing financial circumstances Post-Core Financial Service Encounter Information processing Bespoke communication FINANCIAL SERVICE CLIENT EXPERIENCE Repetitive / predictable tasksEmpathy / trust / social cues Empathy / reassurance / probing
  • 21. Discussion •  Several service encounter activities that may well be suitable for future automation –  Bespoke communications to clients –  Faster information processing –  Investment information for advisers to derive their advice •  Emerging number of firms that offer hybrid services pairing computerized services with hand-holding from human advisers (WSJ 2016) •  Role of the human financial adviser is more likely to be augmented by new technology, rather than substituted by the new technology (Larivière et al. 2017).
  • 22. Conclusion •  Wealth management firms need to think strategically about how they wish to design the service encounter with their clients –  balance between human and technological inputs •  Preferred combination of technology–human capabilities is likely to evolve over time •  Technology may not always be the preferred option because of its creative and social limits Frey & Osborne (2017)
  • 23. Limitations and future research •  Sample size is small and only comprises of wealth managers from a single firm in the UK •  Next stage of this study will involve collecting data from client experiences of using financial advisers and robo-adviser services to provide a fuller understanding of the potential impacts of robo- advice.
  • 24. References•  Accenture (2015) The Rise of Robo-Advice: Changing the Concept of Wealth Management, Available from: https:// www.accenture.com/_acnmedia/PDF-2/Accenture-Wealth-Management-Rise-of-Robo-Advice.pdf [Accessed 10 Dec 2017]. •  Beilfuss, L. (2017) Morgan Stanley Launches ‘Robo’ Advice Service, The Wall Street Journal, Available at : https:// www.wsj.com/articles/morgan-stanley-launches-robo-advice-service-1512396001 [Accessed 12 Dec 2017]. •  Brynjolfsson, E. & McAfee, A., 2016. The Second Machine Age - Work, Progress, and Prosperity in a Time of Brilliant Technologies, WW Norton & Co. •  Cass, R. (2017). The Next Stage for Robo-Advisers. [online] European Investment Conference. Available at: https:// eic.cfainstitute.org/2017/01/10/the-next-stage-for-robo-advisers/ [Accessed 19 Jul. 2017]. •  Davenport, T.H. & Kirby, J., 2016. Only Humans Need Apply: Winners and Losers in the Age of Smart Machines, New York: Harper Business. •  Economist.com. (2015). Does not compute - The growth of firms selling computer-generated financial advice is slowing. [online] Available at: https://www.economist.com/news/finance-and-economics/21677245-growth-firms-selling-computer- generated-financial-advice-slowing-does-not [Accessed 16 Jul. 2017]. •  Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation. Technological Forecasting and Social Change, 114, 254–280. •  Larivière, B. et al., 2017. “Service Encounter 2.0”: An investigation into the roles of technology, employees and customers. Journal of Business Research, 79, pp.238–246. •  Metinko, C. (2017). Why robo-advisers will not replace human financial advisers. [online] TheStreet. Available at: https:// www.thestreet.com/story/14007258/1/why-robo-advisers-will-not-replace-human-financial-advisers.html [Accessed 28 Jul. 2017]. •  Voorhees, C.M. et al., 2017. Service encounters, experiences and the customer journey_ Defining the field and a call to expand our lens. Journal of Business Research, 79, pp.269–280. •  WSJ. (2016). Can Robo Advisers Replace Human Financial Advisers?. The Wall Street Journal [online] Available at: https:// www.wsj.com/articles/can-robo-advisers-replace-human-financial-advisers-1456715553 [Accessed 16 Jul. 2017].