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The Value Creators Podcast Episode #46. Digital Enablement: Customer-Led Business, Subjective Value, and Empathy with David Kramer

Digital enablement and AI are revolutionizing how companies operate and reshaping the economy. 

At the core of this transformation remains a fundamental principle: the customer is the boss. In this new era, empathy becomes crucial as businesses strive to meet subjective values and deliver hyper-personalized experiences. Consumers demand instant access, precise responses, seamless order fulfillment, and transparency, while resisting intrusive tracking and data monetization.

David Kramer, Founder & Chief Product Officer at Cooperative Computing, joins Hunter Hastings to highlight how AI can enhance creativity while balancing automation and human touch. In this discussion, Kramer shares insights on the digital enablement movement, emphasizing that AI should complement human creativity rather than replace it.

He underscores the need for maintaining a brand’s unique voice amidst the risk of generic content. As AI advances, businesses must adapt, using it to innovate while preserving the essential human element that resonates deeply with audiences. This approach aligns with the shift towards hyper-personalization, where understanding and delivering what each individual wants becomes the new standard, as exemplified by companies like Nike, which serves diverse customer needs with tailored, transparent experiences.

Resources:

Connect with Hunter Hastings on LinkedIn

Cooperative Computing

Connect with David Kramer on LinkedIn

Digital Enablement by Cooperative Computing PDF

Show Notes:

0:00 | Intro: Vision of the Digitally Enabled Firm
01:57 | 5 Key Business Functions: Branding and Marketing
03:15 | Second Key: Sales and Commerce
03:56 | Digitally Enabled Organization: Third and Fourth Key
04:48 | Fifth Key for a Digitally Enabled Organization: Service Delivery Management
07:13 | Human Role: Coding OR Evolving Decisions?
13:13 | Are We Still Customer-Centric?
20:33 | Transition Away From Control
25:01 | Customer in this New Digital Environment
29:39 | Demand for Transparency and Responsiveness
35:34 | Managing Accelerating Digital Change Speed: The Art of Possible
40:47 | Stephen Hawking: Cosmology Depends on the Questions You Ask
45:38 | Is Competition Still Relevant, and Can Large Firms Adapt?
53:52 | Wrap-Up

Knowledge Capsule:

Digital enablement will change the way companies are run, and even change the structure of the economy. But one principle that remains the same, and becomes even more fundamentally important: the customer is the boss, subjective value is the goal, and empathy is the key capability. The customer is the driver of the digitized firm and its business model. The number one capability for the digitally enabled firm is empathy.

The governing factor is what consumers feel is appropriate to meet their needs and desires. They want instant access, fast and accurate personal request response, order completion and delivery, and complete transparency. They don’t want the uneasy feeling of being tracked and surveilled. They don’t want the diversion and interruption caused by sites selling consumer data to third parties to be monetized as digital advertising.

This consumer-led environment will require hyper-personalization: understanding and delivering what each individual wants.

It’s the opposite of mass marketing. Think about a company like Nike. It serves hundreds of millions of consumers. Its business is driven by what those customers want, when they want it, and how they want it. Nike’s customers range from the very best performance athletes who want unrestricted performance at the cutting edge of technology, to sedentary elders who appreciate comfort and stability. How can Nike serve all these customers with equal transparency? Via digitally enabled hyper-personalization. Every individual gets the experience they want when they want it, and how they want it.

The digitally enabled firm

The digitally enabled firm uses digitization (including AI) to know its customers deeply (i.e., through data), fully understand its customers and their individual experiential needs (through deductive analytics), and meet those needs better than anyone in the world (through commercial engagement, operations and fulfillment, service delivery, continuous improvement, and innovation).

For customers in general, whether B2C or B2B, their experiential requirements are going to extend towards instant access and response that is both rapid and accurate. To become an effective consumerized or customer-led company, the digitally enabled firm reviews its capacity in 5 core functions.

1. Branding and Marketing

This is the primary function of the customer-led company simply because the first requirement is to accurately identify, deeply understand, listen to, reach, message, and persuade customers of the firm’s value proposition. Without branding and marketing, there’s no flow of information (and no flow of cash since marketing induces willingness to pay). Branding and marketing incorporate the firm’s value proposition into customers’ daily thought culture, aligning with and complementing their mindset and their perspectives, and shaping the firm’s hyper-personalization capability. This marketing capacity is becoming hyper-automated since it is fueled by digital information flow, instantaneously processed for insights and driving the rapid reaction to generate the high-response relationship the customer seeks and, ultimately, the capacity to anticipate customer desires.

2. Sales and Commerce

Conventional commerce, including e-commerce, will go away as digital assistants become the power behind purchasing and daily life choices. They become dominant sales and commerce engines, to the digitally enabled firm’s advantage in the case where they interact well with customers and integrate into customers’ own systems and lifestyles. The result will be memorable on-demand buying and delivery experiences and frictionless repeat purchases.

3. Order Fulfillment and Operations

Real-time operational data and analytics will enable risk and error avoidance, predictive planning, and the scalable infrastructure required for frictionless operation. Fulfillment and operations provide the means to keep promises and meet expectations, two vitally important commitments in the consumer-led relationship.

4. Customer Engagement

The customer’s experience-in-use is the critical key to value creation, and the digitally-enabled firm will be integrated into this experience, thereby opening up the opportunity for continuous addition of new and supplemental value and ever-strengthening sticky relationships. Continuing engagement after a purchase and after a usage experience is important. Some brands are creating digital online spaces and experiences where customers can participate and engage, such as Gucci’s Vault on Discord. Even when they are not buying or consuming, customers can be digitally engaged with their brands.

5. Service Delivery Management

Process automation ensures delivery excellence and consistency, and customer transparency generates confidence and trust across all channels. Digital integration enables continuous improvement of processes whenever feedback indicates an opportunity. Digitally enabled firms exhibit excellent governance of the service experience.

How do we manage digital organizations of this kind, where decision-making must be near-instant and the accuracy of a millisecond decision is so critical? It’s futile and dangerous to rely on traditional management styles. Leadership and governance will exist, but they’ll change considerably. One result will be the digital CEO, connected to all aspects of all decision-making processes, governing in millisecond transaction times.

The advantage for humans

The thing that humans do very well, better than any AI, and in all likelihood for a long period of time, is understand people through an emotional perspective. And this is where the engine of branding and marketing and all economic activity actually exists. Humans will continue to keep control of their own consumerism in order to grow economic activity so that we enjoy the world that we live in. The human is not only in the loop, but the core of the loop in this regard.

Digital machinery and digital processes can understand feedback loops very well. It can read the clicks and the purchase data and generate the appropriate signals for analysts, but it can never understand the emotional attachment between economic activity and consumer needs. Consider a purchaser buying a red shirt from a shopping site. The AI can record the purchase, align the data with other historical data to generate a pattern, and perhaps draw a pattern recognition inference. Perhaps there’s a trend or a tendency. Perhaps there is a comparison to be made with other shoppers, yielding more inferences. But if the purchaser loves red shirts because his or her grandma bought them a red beanie hat for their 8th birthday and they’ve loved that shade of red ever since because they loved their grandma – AI can’t empathically diagnose that motivation, and probably won’t ever be able to.

But AI can make the purchase frictionless, the delivery faster and more accurate,  and monitor the customer experience and perhaps enhance it in the future, perhaps generating loyalty and relationship stickiness. AI can become self-teaching and self-learning by structuring data and organizing it and running feedback loops. But it doesn’t know what to do with the emotional components of human engagements.

It may be possible to develop triggered models – data models or simulation models that can create signals from the states of emotional and empathic input that come from humans and human interaction, and it will get better at fine-tuning the signals and the models. It is already possible to detect temperature changes (blushing), eye movement, body language and other signals of emotional change.

The direct connection to the customer

The most exciting part of all this is the direct connection of the business model to the customer. Whether in the recording of online purchase data and digital behavior, or the monitoring of eye movements, the connection is direct and the end user directs the flow. AI (what Kramer calls digital sapiens, working alongside homo sapiens) enters the customer’s system and the customer’s life cycle and becomes part of that customer’s life, and part of the customer’s culture. AI makes data-driven decisions, and the data is customer data.

How do firms make the transition?

The first transition step is to conduct a digitization discovery: what is the capacity of the firm to digitize across four dimensions?

1. Digitizing organizational structure – eliminating hierarchy, planning, and command-and-control and substituting digital implementation of job functions wherever appropriate.

2. Methods, procedures and routines – where they have emerged and proven useful, can they be digitized for continuity and consistency? And can we change them digitally when it becomes clear we need to work differently?

3. Systems and technology – how well are IT systems facilitating people, processes and change?

4. Key performance indicators – what are the signals of success and how well are they measured, monitored and distributed for action? The key here is not KPI’s as control mechanisms (which is how they are traditionally used) but as feedback loops: building up an understanding of the current state and the patterns of its dynamics through data, analytics, and the response environment.

A current state of these dimensions is established through discovery, from which a delta is derived: what is required to improve and accelerate:

* To grow revenue.

* To become more operationally efficient.

* To continuously improve the performance of the firm through digitization and data-driven decision-making.

* To develop the cultural identity that best facilitates the collaboration of digital sapiens and home sapiens. There will be a different way of working and different forms of collaboration, and the cultural identity of the firm will be highly relevant to the nature of the adoption of these new ways.

The new customer experience

In the world of e-commerce and digital advertising that has evolved recently, the customer experience has often been undesirable, in that customers are surveilled and tracked by cookies and other software devices, and are urged into transactions by “interrupt and annoy” messages that are unwanted frictions in online engagement. This is evidence of a failure of empathy.

But the new AI approach is to prioritize an understanding of how the customer prefers to interact. After profitability (which is the mandatory gateway – business can’t proceed if it is not profitable), the quality of the customer’s experience in the response environment will be the number one attribute of business operations. Understanding the needs of the individual customer and interacting with those needs in the way that the individual customer likes best is the goal of the digitized capability that we call hyper-personalization.

Digital assistants will become more closely attached to and associated with individuals and will sense our feelings – whether that’s frustration with a process or delight with an experience. Businesses are building the tools for empathic diagnosis, empathic response and instant and dynamic updating. They’ll become highly effective at hyper-personalization.

This is the realization of the dynamic of customers bringing innovation and desirable experiences into being. Through the responsiveness environment, customers will figure out how to generate a desired experience and achieve it through the adaptive dynamics of the digital assistant.

An example of this principle in action is 3D printing, which is the capacity for an individual to self-manufacture. The implementation of individual consumer desire (“I want what I want when I want it and how I want it”) is made materially operational, whether in the form of 3-D printed buildings, machines, or clothes, or food.

Speed of change and the art of possible.

The acceleration of the rate of speed of change has been identified as a challenge for firms, but in the new customer-led digital age, the acceleration is in the hands of the customer. When what customers want is more and more attainable, they will learn to ask systems for what they want and the system will understand enough of what’s available from all potential sources to recommend and bring it to that customer. The system will assemble sub-components into a solution. For example, if a customer wants a mirror with a digital camera in it and an audio source of weather information, powered by DC because they live in Denmark, and that particular configuration is not currently offered, a digital assistant will specify it from available parts and build a personalized sku, deliverable two days from now at a specific price. That’s the art of possible: not what exists now, but what it is possible to assemble quickly.

Asking the right questions

The future lies in getting better at prompting: asking the AI the right questions: Can I do this now? What is possible? The questioner dreams it up, and the system assembles the dream. Then, the organization implements the assembled solution in the firm’s environment and in the marketplace.

Copilot is a good early example of what’s possible – a tool that observes and takes information and comes back to you to say, ‘here are the activities at which the firm is not efficient that could be done much more efficiently.” For example, the AI detects that people are keying-in invoices, and the process could be automated. It provides the art of possible. It could do the same for customers and customer interactions.

Constructing the firm for the new environment

Today’s construct of the firm is:

The empathetic component – how do we create valued experiences for the customer?

The technical component – what do we need from a technical perspective to meet customer expectations?

The financial component – how do we operate profitably and efficiently?

Ask these questions of an AI and, ultimately, the AI will respond with a highly accurate recommendation of what company or brand to build. It has the universe of knowledge at its fingertips, with all customer and buyer data to reveal preferences and trends and desires. The best entrepreneurs will be the ones asking the right questions, while the operation of that business can be left more and more to the AI and the digitized firm. The AI will build a digital CEO that can develop a market analysis and a business plan, perhaps raise capital against that plan, sign up the initial customers, design the products and aesthetics, and the customer experience. Over time, the digital sapiens species footprint will expand, and the homo sapiens species footprint become more specialized and focused. Competition will boil down to building specialized digital CEO’s. The software might be open source and free, and the data proprietary, so the added value is in designing better digital CEO’s from better data sets.

How? By asking better questions. McKinsey, for example, has decades of data and intelligence about good decision-making and what’s associated with it. That could be the input data for building a digital CEO. WPP has data about great marketing campaigns and great marketing agencies and could create great marketing CEO’s. Digital doctors will out-perform non-digital doctors because of the mass of data around medical history, practice, research and so on.

Management will become less and less relevant because digital sapiens can do more and more of it. Entrepreneurship – creatively asking the right questions and imagining the future in a better way than others – will become more and more relevant.

The Value Creators Podcast Episode #29. Raushan Gross on Entrepreneurial Value Creation in the AI Economy

Professor Raushan Gross, who teaches Business Management And Leadership at Pfeiffer University, has focused his most recent research on the impact and influence of A.I. on entrepreneurship. He published some of this research in a series of articles at mises.org. One of them links A.I. to The Wealth Of Nations, and, of course, the wealth of nations is driven by entrepreneurship. From this vantage point, Professor Gross identifies the multifaceted impact of AI on society, economics, and business strategies, advocating for a paradigm shift in management thinking to adapt to technological advancements.

Resources:

The Fate or Wealth of Nations: AI, Robotics and Automation

Will AI Learn to Become a Better Entrepreneur than You?

Prices, Food, Employment: AI and Robotics Are for Regular Folks, Not Just the Elite

Would You Hire an AI-powered McRobot or a Human Employee?

Artificial Intelligence Enhances Consumer Sovereignty

Artificial Intelligence Can Serve Entrepreneurs and Markets

The Fear of Mass Unemployment Due to Artificial Intelligence and Robotics Is Unfounded

Show Notes:

0:00 | Intro
2:27 | Exploring AI’s Impact on Entrepreneurship
7:18 | Can AI Surpass Human Entrepreneurship?
8:48 | Exploring AI as a Service and AI Stacking
12:08 | AI as a Team Member in Entrepreneurship
15:10 | Small and Medium Businesses Can Embrace AI for Strategic Advantage
17:13 | Transition to Autonomous Decision-Making with AI
21:13 | Concerns on AI Centralization and Oligopoly
25:15 | Adam Smith: Global Scale AI is the Wealth of Nations
26:40 | Elon Musk on Value Creation: the Value Meter
29:14 | Does AI Redefine Management by Value Metrics?
32:14 | Wrap-Up: Rethinking Management in the Digital Age

Knowledge capsule

AI changes how individuals and entrepreneurial firms interact with the market.

  • We can’t be sure of the form the interaction will take.
  • But we know that we are using AI in every market transaction
  • While some individuals have doomsday visions of AI, entrepreneurs ask, “How can I use this to improve my business and how I serve customers?”

Human ingenuity will always be a critical and irreplaceable part of entrepreneurship.

  • AI is an active tool for entrepreneurs.
  • It will be a competitive factor in servingand delighting customers.
  • It’s a service to entrepreneurs to help them succeed.

Entrepreneurs can assemble and combine bundles or stacks of AI services into complete business models.

  • Austrian economics explains how entrepreneurial business consists of combining and recombining value-facilitating assets.
  • This is precisely how entrepreneurs utilize AI.
  • There’s no need to own the assets, just to control them and their value direction, and this is the business service that today’s AI tools offer.

AI can be a team member in value creation teams recruited by entrepreneurs.

  • Most productive work is done in teams.
  • AI can be a team member, bringing new knowledge, querying and challenging existing knowledge, and helping to advance knowledge-building at speed.
  • AI can also automate a lot of implementation processes, freeing entrepreneurs to focus on creativity and innovation.

AI will also play a role in technological deflation.

  • While governmental monetary and fiscal policy creates inflation, the role of the entrepreneur and technology is deflationary: making production faster and lower cost with improved quality.
  • AI will contribute by lowering the costs of doing business.
  • Entrepreneurs will be more empowered and the general level of well-being will rise.

Any risks lie in the danger of centralization of AI.

  • Will governments centralize AI under their singular control?
  • WIll the massive investments required in building AI server farms and databases and LLM’s result in a few corporations controlling AI for the whole economy?
  • It’s more likely that entrepreneurs will be able to build their own models using base LLM as a platform.

One of Elon Musk’s innovations points to AI as a “value meter”.

  • Algorithmic management at Tesla includes the ability of AI to assess the real time value creation product resulting from a team’s work with the resources at its disposal.
  • The AI can simultaneously scan all the other value creation opportunities available at the same time and reallocate teams and resources to higher value uses.
  • In this way, AI acts as a “value meter” for the productive activities of a work force and factory.

Global Competition in AI:

  • There will be a global race for AI dominance among nations.
  • Those nations that are most  energetic and innovative will shape the future landscape of AI development.

The Value Creators Podcast: Episode #13. Ben Johnson On The Evolution of Software Entrepreneurship

It is evident that in today’s economy, AI & software are extremely powerful tools in business, creative pursuits, and innovation. 
 
In this episode, Ben Johnson, co-founder of Particle41 and other successful software companies, joins to discuss the integration of AI from enhancing customer support to aiding software development, the ethical considerations of AI usage, and its simulation of empathy.

Resources:

Particle41.com

Ben Johnson on LinkedIn

Knowledge Capsule:

Agile and Lean Methodologies in Software Development:

  • The adoption of agile and lean methodologies in software development has enabled faster and more efficient processes.
  • These methodologies involve iterative development, user feedback, and continuous improvement to align with market demands.
  • Continuous adaptation and flexibility are crucial components, as they allow software to evolve according to user needs.

Action: Observe software development in action, and ask how you can transfer its methods to other parts of management.

Challenges and Rewards of Continuous Improvement:

  • Embracing continuous improvement in software development requires a thick skin, humility, and openness to user feedback.
  • While it can be intimidating and unstable, the process focuses on efficiently achieving business goals rather than merely creating perfect products.
  • Businesses must be prepared to adapt and evolve software as long as it remains relevant to users’ needs.

Action: Make continuous improvement a commitment in all parts of business management. Set challenging goals and don’t be deterred.

DevOps and AI Integration:

  • DevOps involves platform engineering and continuous integration/deployment, streamlining software development and deployment processes.
  • Infrastructure as code and robust assembly line processes are key components of DevOps.
  • AI, especially natural language processing, is being integrated into customer support and development workflows to enhance efficiency and provide novel solutions.

Action: Make use of DevOps experts like Particle41 for robust provision of digital operations.

Ethical Considerations of AI:

  • Businesses must establish policies around AI usage, especially when sensitive or private information is involved.
  • Integrating AI tools requires a thorough understanding of how they work to ensure quality control and ethical use.
  • The use of AI for customer interactions and support should be accompanied by clear communication and expectations.

Action: A.I. is coming. Develop policies in advance.

Empathy and AI:

  • While AI can simulate empathy through language patterns, it’s essential to understand that AI’s responses are correlated patterns rather than genuine emotions.
  • AI’s capacity for simulating empathy and emotions is a tool, not an end in itself, and users should be educated on its limitations.

Action: Entrepreneurship is subjective, empathic, human-to-human. Use A.I. to help, but not for human-to-human understanding.

Innovation and Economic Changes:

  • The current shift in venture capital dynamics could impact innovation and startup culture.
  • Smaller companies might need to adopt cash flow-based models similar to historical entrepreneurship, favoring incremental growth and learning.
  • Larger corporations could potentially support smaller startups to foster innovation, possibly through divisional startups or collaborations.

Action: The VC funding world often chases fashions and fads. You may have to spread your net wider for funding if you are not part of the current fad.