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For case study purposes only A $25B food company wants to mature its intelligent automation capabilities (1/2) About the Client The client'Alpha' is an international producer and marketer of food, agricultural, financial, and industrial products and services. With over $25 B in revenue generated through its varied enterprise business segments, it employs 30,000 people and is present in 25+ countries across 3 regions - Americas, APAC and EMEA) Amidst strong competitive headwinds, Alpha has been actively driving a sustainable cost transformation agenda since 2016 to improve long-term profitability and reinvest in capabilities that drive revenue acceleration. Initial cost transformation success includes consolidation of transactional business process into a shared services unit called as Central Business Services (CBS) and consolidation of Global IT. Both CBS and Global IT have a large presence in Bangalore with some local support across regions. Having reaped the benefits of consolidation and shared services, Alpha is now looking at new-age automation and digital levers to deliver the next wave of benefits aligned to it's profitability and growth agenda For case study purposes only A $25B food company wants to mature its intelligent automation capabilities (2/2) Client's automation history Alpha set-up an Intelligent Automation CoE in 2020 to unlock value from digital and automation levers for its enterprise business units and support functions. Alpha first piloted Robotic Process Automation (RPA) in 2020 for the CBS function for the source-to-pay process Today, Automation CoE is a trained pool of 90 resources (80 in-house + 10 contractors) mostly trained in RPA technology and has delivered -40 bots across process leveraging 'Automation Anywhere' RPA tool Automation opportunities are identified in a bottom-up fashion with the enterprise/ business identifying the need and the Automation CoE delivering the bot after a careful evaluation of the feasibility and business case In spite of some initial success, the Automation CoE has not been able to scale beyond pocket-RPA implementations and take the full-advantage of the intelligent automation spectrum to be a strategic enabler for business Engagement Objective Alpha is looking for assistance in defining an Intelligent Automation (IA) Framework to enable functions and enterprises to achieve business outcomes using IA capabilities For case study purposes only Intelligent Automation Future State Vision We seek to be catalysts of change for our customers, our people, our partners and overall business community thus connect the unconnected and carve a competitive advantage with "Wholistic RPA" i.e. Consulting, Delivery and Support services driving sustainable impact and evangelize futuristic approach of doing business with ease. Demand Generator for Al solutions Capable to train and enable people to manage bots Global and cross-BU impact Flexible to groups/ functions needs Intelligent Automation: Trusted enabler of change Intelligent automation catalyst (RPA, ML, etc.) Enables Biz Capabilities via ready-to-use architectures Partner with other transformation initiatives Influence Client's automation strategy For case study purposes only The capability maturity of the AI CoE based on current state assessment (1/2) Current Client position IA COE Maturity Assessment Framework Nascent Next Gen 1 1 1 2 3 1 1 Process enabler IA COE Positioning Provider of supporting tools and frameworks for implementing automation initiatives 1 | 1 1 1 I 1 1 1 1 1 Execution mindset Business orientation Execution mindset focused on deploying automation projects 1 1 1 Digital ecosystem Multiple digital tools which exist in silos Digital tools used to make individual processes efficient with limited integration 1 1 1 Please feel free to define your understanding of Next Gen 1 1 | Adoption of Siloed and fragmented automation: RPA, AI, Automation through RPA in a few areas with ML, NLP limited/ no focus on other tech stacks 1 1 Process metrics Benefits monitoring Metrics capturing process statistics and operational performance For case study purposes only The capability maturity of the AI COE based on current state assessment (2/2) Current Client position IA COE Maturity Assessment Framework Nascent Next Gen 1 2 3 ! 1 | 1 Talent Model Importer of talent Limited capabilities to develop and nurture talent 1 1 1 I 1 1 Growth model Used to Automate Manual Work Low scale success cases - difficult to expand to several units Please feel free to define your understanding of Next Gen I 1 1 1 1 1 I Bolt-on solutions Solution reusability Project specific codes that are used one time for specific initiatives 1 1 1 1 For case study purposes only Client stakeholder interview notes Limited knowledge available on automation considerations for architecture RPA has been exclusively with IA team Process is defined for RPA assessments but adoption is limited to CBS Lack of internal selling/education on automation/digital for enterprise Need to leverage multiple technologies/vendors (e.g. Data science group is exploring hybrid NLP with open source and proprietary solutions) Pressing need for centralized solution repositories and self-service tools, however investment trade-offs to be considered Talent upskilling required across Various groups across enterprise are targeting automation/ digitization Lack of clear accountability for new capabilities incubation Limited visibility into existing automation and process/system changes Current pool of developers not adequate to scale and deliver complex projects Some examples of cross collaboration exists across groups but in pockets Automation Anywhere is the only vendor we have explored IA team is exploring other capabilities (chat-bot, Al/ML) but in nascent stages Data access, education and change management act as limiting factors August 2021 For case study purposes only The IA CoE has been focused on driving automation primarily through RPA... Levels of Intelligent Automation Scope Width of the Technology Solution scope Automation Examples Key Insights . Big automation" Wing-to-Wing Process Core ERP / Business process management SAP to automate several steps in the order to fulfil process -BPM to manage wing to wing recruit-to-retire process Automation agenda has been focusing on identifying opportunities for RPA . Objective is to have 80 bots in production by year end (43 in either go-live, testing or hyper care phases Function Level Function specific solutions with integrated automation features - Hubspot for marketing automation, management of campaigns, etc. - Salesforce across several sales processes such as lead generation or CPQ. Breakdown of projects in production (43* as of Feb'19) Process Level Workflow automation / Self- service tools, chat bots, ML - Development of workflow for collecting signatures from stakeholders -Developing self-service tools to facilitate user interface Chat-bots 12 9 "Small automation" + TI TE Activity Level RPA - Transferring data between two different systems - Input data into key system Simulate human interface with applications - Predict outcomes based on a dataset Source to Pay Record to Order to Cash Transportation Treasury Report Trading CSSP HR For case study purposes only Deliverable Solution Our Ask from you Executive summary of key recommendations 1 Slide Summarize client's current state, pain-points and challenges 1 Slide Recommend a future state automation vision and operating model shifts required 1 Slide Define an intelligent automation framework which allows client to identify, assess and prioritize automation use cases for maximum value generation - 1 Slide . Appendix As many supporting slides as required For case study purposes only A $25B food company wants to mature its intelligent automation capabilities (1/2) About the Client The client'Alpha' is an international producer and marketer of food, agricultural, financial, and industrial products and services. With over $25 B in revenue generated through its varied enterprise business segments, it employs 30,000 people and is present in 25+ countries across 3 regions - Americas, APAC and EMEA) Amidst strong competitive headwinds, Alpha has been actively driving a sustainable cost transformation agenda since 2016 to improve long-term profitability and reinvest in capabilities that drive revenue acceleration. Initial cost transformation success includes consolidation of transactional business process into a shared services unit called as Central Business Services (CBS) and consolidation of Global IT. Both CBS and Global IT have a large presence in Bangalore with some local support across regions. Having reaped the benefits of consolidation and shared services, Alpha is now looking at new-age automation and digital levers to deliver the next wave of benefits aligned to it's profitability and growth agenda For case study purposes only A $25B food company wants to mature its intelligent automation capabilities (2/2) Client's automation history Alpha set-up an Intelligent Automation CoE in 2020 to unlock value from digital and automation levers for its enterprise business units and support functions. Alpha first piloted Robotic Process Automation (RPA) in 2020 for the CBS function for the source-to-pay process Today, Automation CoE is a trained pool of 90 resources (80 in-house + 10 contractors) mostly trained in RPA technology and has delivered -40 bots across process leveraging 'Automation Anywhere' RPA tool Automation opportunities are identified in a bottom-up fashion with the enterprise/ business identifying the need and the Automation CoE delivering the bot after a careful evaluation of the feasibility and business case In spite of some initial success, the Automation CoE has not been able to scale beyond pocket-RPA implementations and take the full-advantage of the intelligent automation spectrum to be a strategic enabler for business Engagement Objective Alpha is looking for assistance in defining an Intelligent Automation (IA) Framework to enable functions and enterprises to achieve business outcomes using IA capabilities For case study purposes only Intelligent Automation Future State Vision We seek to be catalysts of change for our customers, our people, our partners and overall business community thus connect the unconnected and carve a competitive advantage with "Wholistic RPA" i.e. Consulting, Delivery and Support services driving sustainable impact and evangelize futuristic approach of doing business with ease. Demand Generator for Al solutions Capable to train and enable people to manage bots Global and cross-BU impact Flexible to groups/ functions needs Intelligent Automation: Trusted enabler of change Intelligent automation catalyst (RPA, ML, etc.) Enables Biz Capabilities via ready-to-use architectures Partner with other transformation initiatives Influence Client's automation strategy For case study purposes only The capability maturity of the AI CoE based on current state assessment (1/2) Current Client position IA COE Maturity Assessment Framework Nascent Next Gen 1 1 1 2 3 1 1 Process enabler IA COE Positioning Provider of supporting tools and frameworks for implementing automation initiatives 1 | 1 1 1 I 1 1 1 1 1 Execution mindset Business orientation Execution mindset focused on deploying automation projects 1 1 1 Digital ecosystem Multiple digital tools which exist in silos Digital tools used to make individual processes efficient with limited integration 1 1 1 Please feel free to define your understanding of Next Gen 1 1 | Adoption of Siloed and fragmented automation: RPA, AI, Automation through RPA in a few areas with ML, NLP limited/ no focus on other tech stacks 1 1 Process metrics Benefits monitoring Metrics capturing process statistics and operational performance For case study purposes only The capability maturity of the AI COE based on current state assessment (2/2) Current Client position IA COE Maturity Assessment Framework Nascent Next Gen 1 2 3 ! 1 | 1 Talent Model Importer of talent Limited capabilities to develop and nurture talent 1 1 1 I 1 1 Growth model Used to Automate Manual Work Low scale success cases - difficult to expand to several units Please feel free to define your understanding of Next Gen I 1 1 1 1 1 I Bolt-on solutions Solution reusability Project specific codes that are used one time for specific initiatives 1 1 1 1 For case study purposes only Client stakeholder interview notes Limited knowledge available on automation considerations for architecture RPA has been exclusively with IA team Process is defined for RPA assessments but adoption is limited to CBS Lack of internal selling/education on automation/digital for enterprise Need to leverage multiple technologies/vendors (e.g. Data science group is exploring hybrid NLP with open source and proprietary solutions) Pressing need for centralized solution repositories and self-service tools, however investment trade-offs to be considered Talent upskilling required across Various groups across enterprise are targeting automation/ digitization Lack of clear accountability for new capabilities incubation Limited visibility into existing automation and process/system changes Current pool of developers not adequate to scale and deliver complex projects Some examples of cross collaboration exists across groups but in pockets Automation Anywhere is the only vendor we have explored IA team is exploring other capabilities (chat-bot, Al/ML) but in nascent stages Data access, education and change management act as limiting factors August 2021 For case study purposes only The IA CoE has been focused on driving automation primarily through RPA... Levels of Intelligent Automation Scope Width of the Technology Solution scope Automation Examples Key Insights . Big automation" Wing-to-Wing Process Core ERP / Business process management SAP to automate several steps in the order to fulfil process -BPM to manage wing to wing recruit-to-retire process Automation agenda has been focusing on identifying opportunities for RPA . Objective is to have 80 bots in production by year end (43 in either go-live, testing or hyper care phases Function Level Function specific solutions with integrated automation features - Hubspot for marketing automation, management of campaigns, etc. - Salesforce across several sales processes such as lead generation or CPQ. Breakdown of projects in production (43* as of Feb'19) Process Level Workflow automation / Self- service tools, chat bots, ML - Development of workflow for collecting signatures from stakeholders -Developing self-service tools to facilitate user interface Chat-bots 12 9 "Small automation" + TI TE Activity Level RPA - Transferring data between two different systems - Input data into key system Simulate human interface with applications - Predict outcomes based on a dataset Source to Pay Record to Order to Cash Transportation Treasury Report Trading CSSP HR For case study purposes only Deliverable Solution Our Ask from you Executive summary of key recommendations 1 Slide Summarize client's current state, pain-points and challenges 1 Slide Recommend a future state automation vision and operating model shifts required 1 Slide Define an intelligent automation framework which allows client to identify, assess and prioritize automation use cases for maximum value generation - 1 Slide . Appendix As many supporting slides as required