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Artificial Intelligence (AI) is one area considered by many executives to enable Automation and steer positive growth. A couple of years ago, most executives thought that deployment of Artificial Intelligence isn’t a big deal. However, revamping traditional systems, implementing AI, and scaling it, in reality, is not as simple as it seems.
A survey by PwC Research in 2020, which gathered responses of 1062 business leaders, validates that scaling and industrializing AI is not straightforward at all. Only 4% of the respondents asserted that they plan on implementing organization-wide AI in 2020. A year earlier, the same survey revealed 20% of the executives planning to do that. The survey shows a significant decrease in the number of senior leaders thinking of executing AI.
The reason for this dwindling interest in AI deployment is mainly because of the tough prerequisites necessary—contemplation, resources, preparedness, overhauling legacy systems, and integration of technology applications—for enterprise-wide AI implementation.
A robust AI Implementation Strategy needs to be first devised in order to assist the organizations in moving forward with their AI deployment plans. Research reveals 5 key priorities of AI Strategy that businesses should follow to position themselves as AI leaders and reap value from Transformation in future. These priorities not only highlight the key requirements for AI deployment but also pinpoint ways to maximize pay offs associated with the initiative:
- Boring AI
- AI-ready Workforce
- Responsible and Ethical AI
- AI Operationalization
- Business Model Innovation
Let’s delve deeper into a few of these key priorities.
Boring AI
One of the key reasons to employ AI, as cited by PwC research, is to automate routine administrative functions—e.g., using AI to pull information from tax forms, bills of lading, or invoices that can otherwise take up long hours of human effort. 44% of respondents revealed that AI will help them operate more efficiently.
To ensure AI adds value to the business, leaders should develop a strategy to identify the areas where AI can have a much deeper impact; build capabilities to do that; develop AI solutions, govern them, and embed them with existing systems.
AI-ready Workforce
Building or enhancing the capabilities of the workforce to become AI ready is critical today not only for technology enterprises but also for other businesses. Organizations should identify the skills required for AI and train their people to deploy AI solutions.
However, thinking of achieving this through traditional means of offering training sessions isn’t a viable strategy to tap the opportunities offered by AI. In addition to training people, organizations should cross-skill their people in multiple trades and provide them the opportunities to apply and hone in the skills learnt. In fact, organizations should reward people who apply what they learn into real-time problem-solving and productivity enhancement.
Responsible and Ethical AI
AI can be perilous if adequate understanding of its responsible use and necessary procedures to protect against its risks and negative usage are not taken. There are growing apprehensions around AI related risks e.g., biased algorithms, facial recognition tools, and deep fakes. As per PwC survey, a large majority of respondents, using AI routinely, declared readiness in their organizations in terms of taking sufficient measures to protect against AI risks.
However, in reality most organizations are quite far from implementing controls around data and decisions generated using AI. Just about 33% businesses mentioned having the ability to fully tackle risks associated with data powering AI, AI models, outputs, and reporting. It is imperative to have rigorous Risk Management processes in place to effectively use AI in the workplace and address the risks associated with it. AI risks can be mitigated by integrating processes, tools, and controls needed to address AI bias, explainability, security, accountability, and ethics.
Interested in learning more about the other key strategic priorities essential for AI deployment readiness? You can download an editable PowerPoint on Artificial Intelligence Strategy: Top Priorities here on the Flevy documents marketplace.
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Accelerated pace of technological disruption has forced organizations to change. It has triggered leaders to think of the ways they must adopt to survive in these challenging times.
Organizations are confronting this scenario by embracing digital technologies. Traditionally, the focus of the organizations in these Transformation initiatives has remained on speed of change. To get the most out of their initiatives, they are making drastic changes, to include:
- Creating Agile Teams
- Introducing Mobile Apps
- Building Big Data and Analytics capabilities
- Experimenting with creative Digital Business Models.
Digital Transformation programs are launched with huge fanfare, see success early on, but fail to keep the momentum going. The issues that plague the sustainability of these initiatives are typically:
- Aging Technology Infrastructure
- Incompatible Operating Models
- Archaic ways of doing business
- Change-agnostic culture.
Drivers of change for the Digital Leadership have changed significantly over the years. There is an increased focus on building scale when executing Digital Transformation. Leaders have realized that quick Decision Making is not the only element required for successful Transformation. To achieve its full potential, they need to create differentiated offerings and scale the most viable initiatives across the organization to create value.
Traditional organizations have started following the footsteps of digital disrupters like Amazon and Tesla. They are implementing new digital services and adjusting their operations. However, typical hurdles—e.g., old enterprise systems, bureaucratic red tape, delayed decision making, and segregation between IT and business units—make them slip back into the outdated ways of doing things.
Sustainable Digital Transformation involves building not only the technology infrastructure but also revisiting the operating model. Successful Digital Transformations essentially involve embracing 4 key strategies to enable an ecosystem that encourages change to stick as well as scale:
- Create a strong Digital Foundation
- Integrate and consolidate the Digital Ecosystem
- Front-end to back-end approach
- Create a new Business Model
Let’s delve deeper into these strategies.
Create a Strong Digital Foundation
Manufacturing and pharmaceutical industries are the major sectors that employ this strategy. The typical state of affairs in organizations implementing this strategy is such that they are in need of developing new digital capabilities from scratch to tackle nimble rivals who are churning out novel value propositions using digital tech. These companies are burdened by dated tech infrastructure, sluggish decision making, and dated business models. The risk of disruption to these businesses is growing but it hasn’t challenged them to transform drastically.
To them, building a digital foundation warrants acquiring novel foundational capabilities. Their approach should be to start implementing and managing small changes one step at a time. For instance, building a smart technology architecture with advanced Big Data, Analytics, and predictive modeling capabilities. This should be followed by testing prototypes of the new model to prove their worth before implementing a full-blown execution.
Integrate and Consolidate the Digital Ecosystem
This strategy has gained traction most in organizations from the Consumer Products industry. These organizations are typically marred by scores of fragmented IT systems running in different parts of the organization. There is a general inability to prioritize the most viable projects and scale them. The need to reform and rapid deployment of Digital Infrastructure is critical for survival.
The approach to Digital Transformation in these organization should be to establish a central management position to manage the initiative and streamline dispersed technology landscape. This entails revising the technology infrastructure and operating model, deploying a unified IT platform for gathering and storing customer data, establishing a common data repository accessible to all units to recognize customers’ needs, and creating a culture that encourages innovation, acts on creative ideas, and refines them through experimentation and advanced tools.
Interested in learning more about the other strategies to enable Digital Transformation? You can download an editable PowerPoint on Sustainable Digital Transformation here on the Flevy documents marketplace.
Did You Find Value in This Framework?
You can download in-depth presentations on this and hundreds of similar business frameworks from the FlevyPro Library. FlevyPro is trusted and utilized by 1000s of management consultants and corporate executives. Here’s what some have to say:
“My FlevyPro subscription provides me with the most popular frameworks and decks in demand in today’s market. They not only augment my existing consulting and coaching offerings and delivery, but also keep me abreast of the latest trends, inspire new products and service offerings for my practice, and educate me in a fraction of the time and money of other solutions. I strongly recommend FlevyPro to any consultant serious about success.”
– Bill Branson, Founder at Strategic Business Architects
“As a niche strategic consulting firm, Flevy and FlevyPro frameworks and documents are an on-going reference to help us structure our findings and recommendations to our clients as well as improve their clarity, strength, and visual power. For us, it is an invaluable resource to increase our impact and value.”
– David Coloma, Consulting Area Manager at Cynertia Consulting
“FlevyPro has been a brilliant resource for me, as an independent growth consultant, to access a vast knowledge bank of presentations to support my work with clients. In terms of RoI, the value I received from the very first presentation I downloaded paid for my subscription many times over! The quality of the decks available allows me to punch way above my weight – it’s like having the resources of a Big 4 consultancy at your fingertips at a microscopic fraction of the overhead.”
– Roderick Cameron, Founding Partner at SGFE Ltd
Scalability is defined as possible meaningful changes in magnitude or capacity. In business terms, it’s the capability of a system to enhance productivity upon resource augmentation. Scalability provides an organization the capabilities to develop compelling value propositions—that are hard to imitate by the rivals—and achieve profitable growth even in the wake of external threats, cut-throat competition, stringent laws, or financial downturns.
Today’s challenging business ecosystems and economic outlook demand from the enterprises to develop novel and Scalable Business Models that are able to leverage positive returns on investments. To accomplish this, leaders need to identify and eradicate any capacity issues, enhance collaboration with existing partners, build new partnerships, or develop platforms to work with their opponents.
Executives should invest in scaling options only when they are sure to boost returns. They have to be quick to exit a business when returns on investment to scale backfire.
5 Patterns of Business Model Scalability
Benchmarking a number of successful organizations reveals that their Business Models were flexible enough to sustain internal and external pressures. Business Model Scalability hinges on aligning the strategic partners and Value Propositions to serve the customers.
To drive Business Model Innovation (BMI), leading organizations consistently display 5 critical patterns of Business Model Scalability:
- Operate with multiple distribution channels
- Eliminate typical capacity limitations
- Outsource capital investments to partners
- Allow customers and partners assume multiple roles in the business
- Create platform models
Operate with multiple distribution channels
Successful businesses achieve scalability by selling through multiple distribution channels. Well-known businesses—e.g., Google and Apple—have extensively studied and implemented adding additional distribution channels. By avoiding cannibalization of sales through existing channels, this has allowed them to spread overhead costs and profit from increased sales. Additional channels help businesses expand clientele and uncover new opportunities.
Eliminate typical capacity limitations
Scalability necessitates finding ways to overcome capacity limitations that hamper various industries. Well-known companies achieve scalability by overpowering any limitations that constrain various businesses. Successful companies are not inhibited in any way by physical or material constraints—including deficiencies related to manpower, capital, warehousing, systems, technology, or capacity. For example, managing costs related to creating R&D facilities and innovating new products that often impede the entire pharmaceutical industry.
Outsource capital investments to partners
Top businesses achieve scalability by transferring or sharing cash flow and working capital requirements with the partners. They optimize their capital and cash flow limitations and prioritize their crucial investments. They adopt Business Models geared toward creating open platforms that allow them to shift these expenditures to their strategic partners.
Allow customers and partners assume multiple roles in the business
Scalable businesses work in conjunction with their strategic partners and customers. They offer multiple roles to them and leverage mutual resources for growth of their businesses. They collaborate with each other through joint ventures or through informal mechanisms—e.g., core platforms—which they utilize to share distribution methods, loyalty programs, and resources. They have a “laser” focus on the factors that are of value to their customers, and develop (and enrich) their value propositions based on that.
Create platform models
Top businesses build platform-based Business Models that work on the principles of partnership and scalability. They use their platform-based Business Models to foster relationships with and convert their rivals into partners—by letting them share their platform and generate incremental revenues, for instance, through benchmarking data and “ease of use” sales. Visa Inc. is an example of how businesses connect with shoppers using Visa’s credit card platform.
Scalable Business Models are more likely to generate rapid returns. However, these Business Models demand utilization and alignment of capabilities that the organization, its strategic partners, and customers possess. Execution of the patterns of Business Model Scalability involves categorizing key resources and initiatives required to enable synergistic collaboration and superior product / service offerings.
Executives can make use of these 3 potential levers to achieve Business Model Scalability that provide an implementation roadmap for both novel or revamped Business Models:
- Determine potential strategic partners
- Brainstorm a scalability plan
- Select viable and scalable Business Model options
Interested in learning more on the 3 potential levers to scalability? You can download an editable PowerPoint on Business Model Innovation: Scalable Business Models here on the Flevy documents marketplace.
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Supply chain thinking used to be limited to the managers of a few global companies—companies that were struggling to coordinate internal information and 
materials. This, however, led to an exciting boom in cross-business coordination based on Supply Chain Management concepts.
Today, the field has broadened and shifted over time. Current supply chain trends—differentiation, outsourcing, compression, and collaboration—are being used to restructure supply networks and improve coordination. As more companies integrate their networks, capabilities are improving. The levels of product customization and business complexity are also increasing. As this continues, Supply Chain Management is being used in new ways to create uniquely defined customer relationships anchored on appropriate Customer-centric Design.
The field of Supply Chain Management will continue to influence companies. The best way to understand the impact of a long-term trend is to examine how the trend has changed the way executives view their businesses and what issues they choose to focus on.
Rationale Behind Supply Chain Management
Supply Chain Management is the design, planning, execution, control, and monitoring of supply chain activities. It is the management of the flow of goods and services. Essentially, Supply Chain Management addresses the fundamental business problems of supplying products to meet demand in a complex and uncertain world.
Conceptually, Supply Chain Management draws on the value chain concept of business strategist, Michael E. Porter. It conveys the idea of looking at the supply chain issue at the multi-company level.
As the global business environment becomes more complex and competitive, there have been shorter product life cycles and greater product variety. Due to this, it has increased supply chain costs and complexity. The birth and growth of outsourcing, globalization, and business fragmentation has resulted in a crucial need for supply chain integration. Coupled with advances in information technology, this has led to the creation of greater opportunity for Supply Chain Management.
Why is Supply Chain Management essential at this time? There is now an increasing need to create net value, build a competitive infrastructure, leverage worldwide logistics, synchronizing supply with demand, and measure performance globally. Only Supply Chain Management has a systematic process to satisfy these increasing demands.
With the increasing application of Supply Chain Management, there have been shifts in the view of management and influencing Strategy Development.
The 6 Core Pillars of Supply Chain Management Thinking
The 6 Core Pillars of Supply Chain Management Thinking are the major shifts that have redefined management’s view which is far different from traditional Supply Chain thinking.
The first Core Pillar is Multi-company Collaboration. This is the shift from cross-functional integration to multi-company collaboration. Traditionally, Supply Chain thinking was focused on integrating within their companies. But with the new Supply Chain Management perspective, the focus now is on integrating across companies to coordinate and improve supply.
With the shift in thinking, what is asked now is how do we coordinate activities across companies, as well as across internal functions, to supply products to the markets. This is a great deviation from the traditional thinking which ask how do we get the various functional areas of the company to work together to supply product to our immediate customers.
With the first Core Pillar, we get to achieve significant breakthroughs. There are lower supply chain-related costs and improved responsiveness within a chain of companies.
The very essence of Multi-company Collaboration is rethinking how organizations align goals and make decisions.
The other Core Pillars are Market Mediation, Demand Focus, Product Design Influence, Business Model Innovation, and Customized Offerings. Each core pillar is considered an enabler that has a vast impact on Supply Chains.
Interested in gaining more understanding of the 6 pillars of Supply Chain Management (SCM) thinking? You can learn more and download an editable PowerPoint about the 6 Pillars of Supply Chain Management (SCM) Thinking here on the Flevy documents marketplace.
Are you a management consultant?
You can download this and hundreds of other consulting frameworks and consulting training guides from the FlevyPro library.
