1. The twenty+ point Blufountain African Insurance Digital Transformation Guidelines.

1.1 Background:

The Blufountain insurance guidelines were designed for emerging African insurers to transform into modern insurers. Key among the 20 points of recommendation and guidelines is to measure the success of that insurer as it transforms into the future. The Blufountain Digital Transformation guidelines do work with other major blueprints in insurance and one can assess their insurer for readiness using the same guidelines.

Recommendations however will differ country to country based on regulatory limitations and economy size.

Screenshot 2024-03-31 at 10-14-19 Digital transformation is pushing banks and Fintechs to work together

1.2 What is digital transformation in insurance?


Digital transformation in banking refers to integrating various fintech technologies to automate, optimize, and digitize processes in the banking industry.



1.3 How mature is Digital transformation in African insurance?


African insurers suffer from digital challenges like data costs, network challenges , regulatory frameworks , skills migration to Europe slow government technological advancements, currency fluctuations, and high unemployment in some key African countries.

The insurance industry is embracing transformation to keep pace with the ongoing digital disruption across global markets and economies. A combination of factors – including changing consumer demography, new demand patterns, new market entrants, profitability concerns, and operational resilience – are urging this dramatic shift.

1.4 How can the  African insurers transform into a modern insurers?


Screenshot 2024-04-02 at 00.28.11

For African insurers with huge young population growth , massive urbanization with cities like Dar es Salam projected to have population of 50 million around 2050-60 need for urbanization is imperative.


The 15 digital transformation point plant is shown by the KaribuTech AI team to help banks in Africa transform and adapt to the AI, Blockchain and Banking as Service boom

Screenshot 2024-03-01 at 02.35.05



2.1 Can legacy insurers use digital transformation?


Legacy Banks in Africa are limited by cost of converting to new technologies, security breaches, API non-readiness as well. The following can help transform into the modern future bank



Screenshot 2024-04-03 at 18-09-18 What Is Digital Insurance 2024 Comprehensive Guide


2.3 Promising lights  in  digital transformation in African insurance?

African banks can take advantage of key technological advances  including

  • a. Rollout of fiber and 5G network

  • b. Introduction of Satellite communication like StarLink

  • c. Introduction of eSim technology to enable MVNO in banks

  • d. Huge increase ein FinTechs especially in the Mobile Money space

Intro


2. A modern future Insurance Company is defined by


Screenshot 2024-04-02 at 02-07-27 The open insurance conundrum Bridging innovation & reality Arthur D. Little


2.4 Can legacy insurers use digital transformation?


Legacy insurers in Africa are limited by cost of converting to new technologies, security breaches, API non-readiness as well based on the following


Screenshot 2024-03-31 at 22-21-28 Digital transformation in banking


2.5 Triggers of  digital transformation ?


Digital transformation is triggered when bank goes some form of transformation like a


Merger, 
Acquisition,
 Regulatory changes,
 regional expansion.


2.6 Steps in  digital transformation in insurance?

Digital transformation in banking refers to integrating various fintech technologies to automate, optimize, and digitize processes in the banking industry.

3. SWOT Analysis  In African Insurers

a) Do a digital capability assessment of current state using different measuring frameworks.

b) The assessment is on both business capabilities and technical capabilities



Screenshot 2024-04-02 at 02-05-00 Insurers making inroads with open insurance data sharing models


3.2  Opportunities: The opportunities include the ability of the banks to convert the unbanked using such tools like mobile money and USSD as well as mobile app penetration. The threat being the high cost of data accross the region.



3.3    What are the strengths and weaknesses


a) The assessment objectives include the need to transform the customer experience for the African bank in the rural area as well as in the urban areas. The strengths in Africa is the high mobile penetration and also its young population hence they can embrace digitization easily.

b) Improving literacy rates, high GDP and economy growth rates and high population growth rates gives Africa a competitive edge in being a banking market.


c) Insurers can benefit from the following in digitization

Screenshot 2024-04-02 at 04-13-37 Title AI in Insurance Transformative Possibilities & Practical Applications



3.4. Insights: This dimension caters to realize how well an organization
utilizes business and customer information to measure their success metrics in various domains



4. Carry OUT ASSESSMENT OF WHATS There

a) Do a digital capability assessment of current state using different measuring frameworks.

b) The assessment is on both business capabilities and technical capabilities

c) AI, Blockchain, Automation, Low Code platforms and big data analytics drive the key needs of this digital bank

d) Changing customer needs, digital adoption, social media and customer personalisation needs also drive this bank of the future picture.

e) Measurement of current as is can use such frameworks like the Temenos Value Benchmark as shown in the diagram


achieving-digital-maturity



Forrester’s Digital Business Maturity Model 4.0. has  skeptics, adopters, collaborators and Differentiators ad levels of maturity. Key

4.1. Culture caters to an organization’s focus towards digital advancement and considers the need to empower employees
with digital technology and equip them with digital trainings.

4.2. Technology: This dimension adheres to the need for adoption of cutting edge and emerging technologies by the company.



4.3. Organization: This dimension caters to the steps taken by company to support governance, digital strategy, and execution.


4.4. Insights:
This dimension caters to realize how well an organization
utilizes business and customer information to measure their success metrics in various domains



The following integration assessment model can also be used to check level of automation and business process maturity.

Screenshot 2024-04-01 at 01-27-52 How well is your company navigating your integration maturity journey

Other measurement maturity models that can be used include



4.5 Other measurement maturity models that can be used include:


1. McKinsey Digital Quotient: This model assesses an organization's digital transformation maturity in four stages: Beginner, Intermediate, Advanced, and Leading. The model focuses on four critical areas: Strategy, Culture, Organization, and Operations.


2. Capgemeni Digital Maturity Assessment  model


3. ISACA®’s Capability Maturity Model Integration (CMMI®) model.


4. Gartner Digital Business Maturity Model: This model assesses an organization's digital transformation maturity in five stages: Stage 1: Analog, Stage 2: Digital Marketing, Stage 3: Digital Business, Stage 4: Digital Ecosystem, and Stage 5: Autonomous Business. The model focuses on five critical areas: Strategy, Leadership, People, Process, and Technology.


4. Deloitte Digital Transformation Maturity Model: assesses an organization's digital transformation maturity in five stages: Traditionalist, Fashionista, Follower, Digirati, and Digital Leader. The model focuses on three critical areas: Strategy, Talent, and Technology.

5. Map out what the Target Insurer needs to be

5.1 The new strategy governed by regulatory impediments, market competition, budget limits govern how the bank of the future needs to look like.


Screenshot 2024-04-02 at 01-14-49 Building a Digital Technology Foundation in Insurance


5.2 Changing customer needs, digital adoption, social media and customer personalization needs also drive this bank of the future picture.


5.3 AI, Blockchain, Automation, Low Code platforms and bigdata analytics drive the key needs of this digital bank

5. 4 Insurers can choose based on their strategy which model they want to get into


Screenshot 2024-04-03 at 18-13-22 Digital Claims in Insurance Explained ( Benefits Examples) Whatfix
1. Open Banking and Platform Business

Partner with best of the breed technology strategies.

Operate Bank  supermarket and offer ecommerce services as a mall or superapp

2. HyBrid Cloud & OnPRem

Manage costs by going for a hybrid


5. Define BuSiness Architecture Capabilities

5.1 The business architecture will include defining of key value streams categorising the business entity of the bank. Key recommendations include adoption of TOM as an architecture framework.

Screenshot 2024-04-01 at 23-30-07 Digital Transformation Paths - Lessons from insurance battlefield -


5.2 Business centric capabilities should be the ones measured using a customer centric approach

photo_2024-03-30_19-37-39
5.3 Key KPIs for Insurance Transformation

Reduce new product onboarding costs by 50%

Regional Expansion into new markets

Reduce customer complaints SLA turnaround by using automation 40%

Enable eKYC with facial recognition and other AI capabilities

Drive personalisation using Big Data Analytics

Use Low code platforms and automation to reduce IT expenditure

5.4 Digital Capabilities landscape

Includes customers, employees, technology, fintechs, regulatory environment and other stakeholders

image


5.4 Adoption of the Insurance Target Operating Models Architecture

The business architecture will include defining of key value streams categorising the business entity of the bank. Key recommendations include adoption of TOM as an architecture framework.

Screenshot 2024-04-02 at 01-15-55 Digital Transformation In Insurance Target Operating Models Market Insights™ - Everest Group
Digital Capabilities landscape

Includes customers, employees, technology, fintechs, regulatory environment and other stakeholders

Screenshot 2024-04-02 at 03-57-19 Munich Re to reshuffle value chain move closer to the customer - The Digital Insurer
Adapt to white label Insurance

This can also work for insurance using new and legacy features or insurers doing a merger

5.5 Map the business architecture

The business architecture will include defining of key value streams categorising the business entity of the bank. Key recomendations include adoption of TOM as an architecture framework.


Screenshot 2024-03-30 at 20.33.20


5.6 Key steps that can be followed include the following



Screenshot 2024-04-01 at 09-47-57 Retail Banking Industry Business Reference Architecture


The timelines of the above steps depend on the insurance strategy of transformation and reason for transformation. Regulatory transformation timelines however can not be changed



5.7 Key stakeholders in the exercise include enterprise, solution and local business and IT teams as well as Fintech partners

Screenshot 2024-03-30 at 16.47.50


5.8. These options for the mapping can be done in different approaches including the following:

Screenshot 2024-04-01 at 09-48-37 Retail Banking Industry Business Reference Architecture


5.9. Inclusion of fintechs and open insurance partners is critical and some of the  partners that can be involved in the mapping of the business capabilities include the following.


New-Infographic-Looks-at-Top-Global-Open-Banking-Players-in-2021-1440x564_c

6. Define the future capability and value streams stack

The business architecture will include defining of key value streams categorising the business entity of the insurer.

Screenshot 2024-03-30 at 09.52.53


6.1 The business architecture will include defining of key value streams categorising the business entity of the insurance company. Key recomendations include adoption of TOM as an architecture framework.

Screenshot 2024-04-02 at 00-52-14 Title The Future of the Insurance Industry


6.2 The insurance business architecture will include defining of key value streams categorising the business entity of the insurance division. Modern banks incorporate banking and insurance in one.

Screenshot 2024-04-01 at 00-07-10 Digital Transformation in Insurance

6.3 The business architecture will include also consider other capabilities including regulatory changes, security as well as customer data. security and risk management

Screenshot 2024-03-31 at 23-59-13 Core Banking

6.4 The business architecture will include defining of key value streams categorising the business entity of the insurer

Screenshot 2024-03-31 at 22-05-04 AI-bank of the future Can banks meet the AI challenge


7. Define the future technology stack

The Technology architecture will include defining of key value streams categorising the business entity of the bank. Key recommendations include adoption of TOM as an architecture framework.

Screenshot 2024-03-31 at 14.41.04

7.1 Five components of the architecture is recommended

Screenshot 2024-04-01 at 23.28.08

Other business capabilities taken into account that can be used include


7.2 Self service capabilities are key in the modern insurer

Screenshot 2024-03-31 at 22-06-15 The Future is Now The Digital Transformation of Banks Inoxoft


7.3 The architecture can be in the evolving , mature or optmised stage

Screenshot 2024-04-01 at 00-06-49 Digital Transformation in Insurance

The approach should always be following an omni-channel approach

7.4 Other components include the Core Insurance Architecture, the CRM Architecture, Data Architercture as well as Payment Architecture and other business units


8. Define the core insurance system strategy

The Core insurance Technology architecture will consider, cost, time to market, API readiness as part of its migration and transition into new ready core banking technologies.

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8.2 Full replacement of the core with a new tech stack. Insurers often pursue this course of action when they urgently need to replace their core platforms because of obsolescence or regulatory imperatives. However, it can be risky.

It requires extensive data migration and the benefits are typically only realized when the final customer is migrated and the legacy systems are decommissioned.

8.3 Banks generally choose a traditional platform as the replacement, reflecting concerns that next-generation platforms are not yet fully proven or focused on a subset of products and features.


8.4 Legacy platforms inhibit performance:

Cost. Cost is more important than ever given low industry return on equity (ROE). Yet technical debt in legacy systems consumes large chunks of IT spend

Time to market. Being able to launch products quickly is a critical competitive differentiator in the current crowded marketplace.

Personalization. Customers increasingly expect a personalized experience. But insurers often store data in multiple product-aligned core systems, which inhibits catering to individual needs.

9.  Adopt Cloud Computing

Screenshot 2024-04-02 at 00-40-12 Infrastructure as a Service PowerPoint and Google Slides Template
Human brain icon isolated on white background in the form of artificial intelligence for computer digital technology concept, 3d abstract illustration

The insurer can adopt a mixed strategy with onprem for high risk solutions and regulatory  monitored solutions, cloud on AWS, Azure and Alibaba for Platform Insurance,

1. Platform as a Service,

2. Software as a Service Solutions or

3. Other functions and also use third party solutions.

10. Adopt AI and IOT

10.1 The business architecture will include defining of key value streams categorising the business entity of the bank. Key recommendations include adoption of TOM as an architecture framework.

Screenshot 2024-04-01 at 23-30-37 Information Technology in Insurance How to Make Your Business Smarter


10.2 The Claims business architecture will include defining of key value streams categorising the insurance entity.







Screenshot 2024-04-02 at 01-15-55 Digital Transformation In Insurance Target Operating Models Market Insights™ - Everest Group


10.3 The AI components in insurance include use of

Screenshot 2024-04-01 at 16-00-45 Title Generative AI in Banking Real Use Cases & Examples


11. Adopt Platform Insurance

digital-transformation-in-insurance-slide4

11. 2 Platform Insurance is a digital marketplace enables an insurer to sell other non insurance and create a marketplace using such tools like superapps as well as creating guarantees for service providers and link clients on the service platform.

Insurers can sell airtime, provide funeral services and other services like photography as well as provide towing services.

11. 2 Platform Insurance is a digital marketplace that is owned and maintained by an insurer or another third party and provides insurance and noninsurance services.

Screenshot 2024-04-02 at 01-55-18 3 Ways AI is Disrupting the Insurance Industry

11.3 The insurer can adopt a mixed strategy with onprem for high risk solutions and regulatory  monitored solutions, cloud on AWS, Azure and Alibaba for Platform Banking,

1. Platform as a Service,sell other services  using mobile superapps and eCommerce mall capabilities

2. Software as a Service Banking Solutions or

3. Other functions and also use third party solutions.

12. Adopt Open Insurance

Screenshot 2024-04-02 at 02-17-37 Open Insurance and Other Insurance Trends - How to Deliver Them Through APIs

12.1 With open insurance the digital insurer utilise best of the best strategy utilities in the market and also change whenever they need using APIs. Pay as you use is one major advantage



12.1 End user journeys can be defined to align with an open banking strategy

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13. Adopt Insurance as a Service

With IaaS the insurers can adopt



Screenshot 2024-04-02 at 04-12-04 Title Ultimate Guide to Insurance as a Service in 2024



14. Adopt RPA, Low Code

With open banking the digital bank utilise best of the best strategy utilities in the market and also change whenever they need using APIs. Pay as you use is one major advantage

rpa


With low code platforms time to market of internal solutions are rapid



For commercial banking, customer onboarding, retail banking and lending, low code platforms can be used to do internal frontend capabilities which doesnt need exterior nice functions.

rpa-use-cases-example-in-the-banking-industry


Example frameworks used in the banking space include the following

Workfusion

UIPath

Blueprism



15. Adopt Generative AI

With open banking the digital bank utilise best of the best strategy utilities in the market and also change whenever they need using APIs. Pay as you use is one major advantage

Screenshot 2024-04-01 at 16-03-15 Title AI_ML in Banking - Pirimid Fintech


With low code platforms time to market of internal solutions are rapid


Screenshot 2024-04-01 at 16-16-02 A Generative AI Roadmap for Financial Institutions – Calleo



With open banking the digital bank utilise best of the best strategy utilities in the market and also change whenever they need using APIs. Pay as you use is one major advantage

Screenshot 2024-04-01 at 16-15-24 A Generative AI Roadmap for Financial Institutions – Calleo


Screenshot 2024-04-01 at 16-06-40 Title AI_ML in Banking - Pirimid Fintech



16. Adopt A Data Centric Architecture

With open banking the digital bank utilise best of the best strategy utilities in the market and also change whenever they need using APIs. Pay as you use is one major advantage

Screenshot 2024-03-31 at 21-44-05 Modern Unified Data Architecture


With low code platforms time to market of internal solutions are rapid

Example tools that can be use on the cloud or on prem with licensing or open source are shown in the table below


Screenshot 2024-03-31 at 21-43-50 Modern Unified Data Architecture

Data forms a 3 pivot for a modern bank with cloud adoption and microservices applications

Screenshot 2024-03-31 at 22-05-04 AI-bank of the future Can banks meet the AI challenge

17. Adopt Process Automation as center pivot

17.1
  • 17.1 Automation should be central to most of the bank processes including onboarding, mantanance , payments and other third party services like procurement. Model processes from major workflow houses like IBM, Oracle's templates can be used to kickstart the onboarding journey.
Screenshot 2024-03-31 at 22-18-54 8 Major BPM Challenges & How to Avoid Them in 2024
  • 17.2 Automation also includes Process Mining which enables AI prediction of future events. 
  • Technologies like IBM BPM, Camunda, Pega, Oracle Fusion can be used
  • BPM notations include using BPMN, BPEL  and CMMN process modelling techniques and DMN and FEEL for rules capabilities
  • 17.3 The following process shows a mortgage approval process the bank can adopt
Screenshot 2024-04-01 at 16.32.40


  • Automation also includes Process Mining which enables AI prediction of future events. 
  • Technologies like IBM BPM, Camunda, Pega, Oracle Fusion can be used
  • BPM notations include using BPMN, BPEL  and CMMN process modelling techniques and DMN and FEEL for rules capabilities
photo_2024-03-31_11-28-12

17.4 Digital Process that can adopt automation include

  • New Business Onboarding for both personal and corporate

Payments Approval on delegation of duty

Customer Mantainance and Agents Processing

  • Claims processing and reinsurance
Accenture_Applications_of_Open_Insurance-2
Screenshot 2024-03-04 at 06-33-21 AI A Slow-Motion Explosion
  • 17.5 Automation from a machine to a bot and human task is determine by the level of automation of the bank as shown below


18. Center of Excellence

18.1 Design Center of Excellence for staff to create long term strategy

Screenshot 2024-04-02 at 00.22.25

a. saves multiple groups from continually “reinventing the wheel” by defining the same process again and again.

  • b. The processes created by CoE are most likely more efficient than processes created on the fly by less qualified individuals.


  • c. It facilitates process consistency, because everyone is following the same defined processes.

  • d. A governing body exists to enhance the created processes and innovative ideas and process corrections are defined.

  • Choose Bespoke or Buy strategy
  • Build internal or external team
  • Partner with FinTechs
  • JIRA, for task tracking or similar tools
  • Confluence for documentation or similar tools
  • Monitoring tools like AppDynamics and Prometheus and Grafana


19. Adopt SAFE Agile



9.1 Adopt SAFE Agile Methodology

Screenshot 2024-03-31 at 20-30-53 Development Value Streams - Scaled Agile Framework


Monitoring tools like AppDynamics and Prometheus and Grafana

20. Adopt a risk Management Framework for the Transformed Unit

Digital transformed banks are defined by modern security and risk and compliant frameworks

Screenshot 2024-03-03 at 11-00-49 Managing the risks and returns of intelligent automation

10.2  The AI Framework adoption includes data, risk monitoring, prevention and measurement.

Risk-Management-Framework-1024x734


21. Adopt a Modern Paymeny Approach




Screenshot 2024-04-02 at 00-39-27 Payment as a Service PowerPoint and Google Slides Template
22. Adopt a Modern CyberSEcurity Approach
Screenshot 2024-04-01 at 18-03-52 Bankerise Experience Banking Beyond Transactions
23. Adopt and PLAN FOR Next GeneraTION Technologies


 Plan for next generation technologies in a span of a decade and beyond, Electrical Cars, Quantum Computing etc

Screenshot 2024-03-31 at 21-35-23 5039_fig1.jpg (AVIF Image 5000 × 3474 pixels) — Scaled (26%)