Author: adaptiman

  • How To Balance Human and Agentic Effort in Four Basic Rules

    How To Balance Human and Agentic Effort in Four Basic Rules

    Humans have a natural bias for human-generated content. Why? Does this bias ultimately serve them? Using AI as a collaborator to aid the authoring process can be tricky. Clarifying your stance on the value of AI will help you move from a default position of fear to a collaborative approach in using AI appropriately and effectively.

    Let’s face it. People are afraid AI will replace their jobs, and there’s no question that AI is a gamechanger in many industries. The use of AI-generated content across all media domains is becoming common. “Deepfakes” on social media are one dark example of AI-generated creative content. AI-generated celebrity voices are another. Concern about AI replacing human pursuits is real but is it as bad as they say? The problem is that humans are just at the beginning of their journey to determine how to use AI appropriately and responsibility. In this article, I will examine potential reasons why people value human created content more and solutions to balance AI and human generated content.

    • Examples of human bias towards AI
    • The value of artistic struggle
    • The philosophy of AI
    • AI doesn’t play fair
    • How to balance human and agentic work

    Examples of human bias towards AI

    I had an interesting conversation with a group of AI experts who are working on a book. One of the criticisms of the book was that it appeared a large part of it was written by AI and some in the group didn’t like that. The inference was that AI-written content is inferior to human-written content. But is it?

    As another example, several months ago, there was a story about Michael Caine selling the rights to use his voice likeness to Elevenlabs for an audio recording of the Odyssey. Elevenlabs received significant pushback from early consumers that the voice was too mechanical, without emotion, and other criticisms. I thought the voice was pretty good, so listen for yourself and make your own judgement.

    Objectively, AI-generated content might be better than human-generated content, but humans have started to unconsciously discriminate against it. As the talk reverted to “markers of AI” and “AI slop”, it was apparent that many in the group were trying to label the material as “AI-authored” in order to discount it. Interesting. Why do people judge human writing as something that is more valuable? Does philosophy offer an answer to the bias for greater effort?

    The value of artistic struggle: TIME

    Two thoughts occurred to me. First, value is subjective. It is defined by the consumer and subject to change with context. So in the case of a written product, the consumer would be the reader. My small sample of contributors (probably not a representative sample) were inferring that the value of the AI-authored material was less. Indeed, I saw the same “markers” they did – the repetitive prepositional phrasing, the consistent tone and structure, formulaic transitions (i.e., In summary…) and suspiciously clean but slightly “off” language. But the content of the material was logical, ordered, and clear, in many ways, much clearer than something I would write. Of course, these “faults” in the text can be controlled with clear and complete style prompts to keep AI in check. So a skilled AI consumer could mitigate many of these issues. Even so, all or part of the material would be AI-generated. It seemed the bias was more about the manner the material was created, not the material itself. Something else was at work here.

    The philosophy of AI

    The second thought was that this phenomenological bias for human-created text probably had been addressed by a philosopher somewhere along the way. So I asked AI if there were applicable philosophical constructs.

    People tend to value human-written work more because they see effort, intention, and a conscious inner life behind it, and they treat those “behind-the-scenes” features as part of what they are really buying or engaging with—not just the surface text. In philosophy, this connects to a cluster of ideas: effort-based value (the “effort heuristic”), theories of achievement, and views like Kant’s that locate value in rational agency and good will rather than just in outcomes.

    AI on Us

    There is empirical support for this. Several studies report that when the same or similar output is labeled “AI” instead of “human,” people report it as less creative, less labor-intensive, and less valuable, even if they admit the quality is comparable. In art experiments, participants valued works labeled as AI-generated up to 60% less than those labeled as human-made, mainly because they associated human works with more labor, passion, and a personal narrative (Bellaiche et al., 2023).

    Aristotle describes a flourishing life as exercising excellences of character and intellect through activity over time—habits, training, and deliberate practice. From this perspective, written products are valuable not just as an object but as the visible tip of a long iceberg of cultivated character, judgment, and practical wisdom. AI can produce similar products, but it does not live the journey of excellences. Is this the soul? Is the ether of our soul the sum of the experiences and struggles we have in this life?

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    AI doesn’t play fair

    Another truth I’ve realized about using AI is that my time is valuable. AI doesn’t operate in time like humans do (was Einstein right?). And this is its main advantage. The “cost” of AI is measured in tokens, not minutes. What a wonderful tool to reduce the human time it takes me to research a topic from days to hours. That seems to me to be valuable use of my time – assuming that what I consume is not too overly biased or incomplete – a big assumption.

    As for myself, for technical writing, I follow the 20-60-20 advice. I spend 20% of my time in prompt engineering so I’ll get a good result. Let AI do 60% of the heavy lifting. Then edit and polish for 20% of my writing. The net result is that I’m much faster and more productive than I used to be. So is everybody else. So is it worth it?

    If we treat an AI model as a drafting tool—like a very powerful thesaurus or research assistant—but hold ourselves to high standards of judgment, originality, and ethical responsibility, what part of the book’s value really depends on the keystrokes being human?” That keeps the focus on the message and on the genuinely human intellectual work, rather than on a purity test at the sentence level.

    AI on Us

    I couldn’t disagree more. At the end of the day, there is something about my fingers flying over the keyboard as I write this sentence that gives me a sense of pride that I wrote this – not some soulless machine. And so it comes down to this. People value human-generated content more because of the time and effort it takes to create it. Call it creative suffering, the artistic soul, or whatever you want. The only difference is time, really. AI doesn’t operate within human time. This leaves us with two choices. We can see AI generated content for what it is – a transformational tool that gives us back the most precious resource humans have. Or we can view AI as a usurper, stealing the glory of our artistic blood, sweat, and tears and therefore less than us. Here’s the truth – AI is a tool. And humans can create more with AI than without.

    How to Balance Human and Agentic Work

    Considering all of this, here’s a set of considerations to guide authors in appropriate collaboration with AI.

    Humans do the thinking

    “AI slop” is most often a function of “human slop.” Vague prompts produce vague responses. You have to know what you’re doing before approaching AI, otherwise, you risk Narcissus’ mirror. AI will simply tell you what you want to hear.

    Before ever entering a prompt, write down the purpose and general structure of your piece. If you use AI to mine for ideas, don’t expect the responses to be useable. Do your own thinking and use AI to confirm or contradict your ideas.

    AI does the heaving lifting

    AI doesn’t operate within time as humans do. Since our time is more valuable, AI should be used to do the monotonous tasks such as research, proofing, editing, and evaluating. Follow the 20-60-20 model. This creates a collaboration, not a crutch.

    Don’t compete

    Don’t try to write like AI. Let your own voice shine through. If you like to tell stories, tell them. If you like to use emotional words, do it.

    Nothing goes out without being reviewed

    It goes without saying that you shouldn’t copy and paste AI generated content into anything, unless there is a specific reason to do so (such as some of the “AI on Us” examples above). When you do, make sure the reader knows what is created by AI and what is created by you.

    For my own process, I may read AI answers, but always author those ideas tempered with my own and within the context of my article. Context is the great marker of human vs. agentic authored content. Make sure you are the sole author contextually.

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    The purpose of ITSM Education is to bring the professional Digital Product and Service Management community together. I write about digital product and service management, organizational maturity, and leadership. Published articles appear every month for free. If you’re a professional technical manager, considering subscribing to DPSM Education.

    Bibliography

    Bellaiche, L., Shahi, R., Turpin, M. H., Ragnhildstveit, A., Sprockett, S., Barr, N., Christensen, A., & Seli, P. (2023). Humans versus AI: whether and why we prefer human-created compared to AI-created artwork. Cognitive Research: Principles and Implications, 8, 42. https://doi.org/10.1186/s41235-023-00499-6

  • Beloved Son and Daughter

    You’re leaving.
    The blue van recedes down the driveway and I wonder if the kids have shut their eyes yet.
    I walk back to the house, conscious of the pain of the rocks under my feet.
    I don’t know why I didn’t put on my shoes.
    The house, which moments ago was draped in the warm cacophony of shouts and giggles, now lies silent and horizontal.
    I distract myself.
    The first egg breaks too soon and the golden yolk slides toward me and down on the floor.
    I pour salt on it and wait for it to mend into something I can grasp.
    Tears stream.
    When will you return?

  • ITIL Service Clears the Path

    ITIL Service Clears the Path

    ITIL Service (Otubela et al, 2026) represents the latest stage in the evolution of ITIL from a process-oriented framework into a model for managing digital products and services in complex environments. The “big ideas” in this book are not entirely new, but they are reframed and integrated in ways that reflect the realities of complex, fast-moving, and technology-driven organizations. Earlier versions of ITIL established the foundations of service management through standardization and control. ITIL 4 introduced a shift toward value, collaboration, and adaptability. However, these changes often left practitioners with a broad set of principles but less clarity on how to apply them coherently in practice. ITIL Service can be understood as an attempt to clarify the path forward—translating these ideas into a more explicit, connected, and operational model. It does not abandon ITIL’s heritage but instead organizes it into a clearer route from strategy to execution, helping organizations navigate the increasing complexity of digital service management.

    The first major shift is from process-centric thinking to activity-based, flow-oriented service management. Earlier versions of ITIL organized work into discrete processes such as incident, change, and problem management, often leading to siloed execution. ITIL Service instead structures service management around interconnected value chain activities that can operate concurrently and iteratively. These activities emphasize flow across the lifecycle rather than handoffs between functions, reflecting a deeper alignment with value stream thinking and modern operational models . This marks a move away from procedural compliance toward enabling continuous movement of work and value.

    A second key idea is the full integration of product and service thinking. Historically, ITIL treated services as the primary object of management, with product management largely outside its scope. ITIL Service recognizes that in a digital economy, products and services are inseparable: products provide capabilities, and services enable their consumption and value realization. By embedding service management within a broader product and service lifecycle, ITIL Service aligns itself with contemporary organizational structures where cross-functional teams manage both product evolution and service delivery together. This closes a long-standing gap between ITIL and product-centric approaches.

    The third idea is the extension of value co-creation into a broader ecosystem model. While value co-creation was introduced in ITIL 4, ITIL Service deepens this concept by emphasizing the complex networks of providers, partners, vendors, and consumers involved in delivering modern services. Value is not simply co-created between a provider and a consumer but emerges from interactions across an entire ecosystem of stakeholders. This reflects the increasing interdependence of organizations and the need to manage shared responsibilities, integration points, and collective outcomes across service relationships . The concept evolves from principle to practical operating reality.

    …in a digital economy, products and services are inseparable: products provide capabilities, and services enable their consumption and value realization.

    Another important shift is the emphasis on end-to-end lifecycle responsibility. Earlier ITIL lifecycle models defined stages such as design, transition, and operation, but these were often implemented in organizational silos. ITIL Service operationalizes the lifecycle as a set of continuously interacting activities, supported by feedback loops from operations, delivery, and support. This reinforces the idea that services are never “finished” but are continuously shaped by real-world use, performance data, and stakeholder feedback . The lifecycle becomes a living system rather than a sequence of phases.

    ITIL Service also elevates experience as a core dimension of value. Traditional ITIL focused heavily on service quality in terms of availability, performance, and reliability. While these remain important, ITIL Service explicitly incorporates experience alongside utility, warranty, and sustainability as a determinant of value. This reflects the growing importance of user perception, usability, and satisfaction in digital services, where technical correctness alone is insufficient. Service success is therefore defined not just by whether it works, but by how it is experienced by users and customers .

    Another defining characteristic is the alignment of service management with modern engineering practices. ITIL Service explicitly integrates concepts from Agile, DevOps, and site reliability engineering, positioning service management as part of the delivery system rather than an external control function. This represents a significant cultural and operational shift from earlier ITIL versions, which were often seen as bureaucratic or resistant to change. In ITIL Service, service management supports speed, automation, and continuous delivery while maintaining reliability and governance .

    Closely related is the recognition of complexity and non-linear work. Earlier ITIL guidance implicitly assumed relatively stable and predictable environments where processes could be predefined and optimized. ITIL Service acknowledges that modern service environments are dynamic, with work triggered by events, feedback, and changing conditions. Activities are not strictly sequential and may occur in parallel or be revisited repeatedly. This reflects a more realistic understanding of how digital organizations operate and aligns ITIL with contemporary complexity thinking.

    Finally, ITIL Service incorporates AI and automation as foundational capabilities. While previous versions of ITIL treated tools as enablers, ITIL Service positions AI as integral to service management across the lifecycle, supporting prediction, automation, and decision-making. This reflects the increasing role of data-driven and AI-enabled systems in managing scale, complexity, and speed in digital services . Automation is no longer optional optimization but a core component of effective service management.

    ITIL Service does not radically redefine ITIL so much as it clarifies the path that ITIL has been moving along for years. The core ideas—value co-creation, lifecycle thinking, integration with modern practices, and continual improvement—are largely inherited from earlier versions, particularly ITIL 4. What this book contributes is a clearer structure for applying these ideas in real-world contexts, connecting them into a coherent model that reflects how work actually flows in modern organizations. In that sense, ITIL Service earns its place in the ITIL canon not by introducing entirely new concepts, but by making the direction of ITIL more visible, actionable, and aligned with the realities of digital product and service management.

    Bibliography

    Otubella, G., .(2026) ITIL Service [Book]. PeopleCert.

  • Big Ideas That ITIL® Product Brings to the Table

    Big Ideas That ITIL® Product Brings to the Table

    With the imminent release of ITIL® Product (Gray et al, 2026), PeopleCert has expanded the scope of traditional Service Management by combining Digital Product and Service Management. While product concepts are present throughout all of the new books, ITIL® Product reframes product development as an end‑to‑end lifecycle that runs from discovering opportunities to operating and continually improving digital products and services, rather than as a narrow “build” phase inside projects. This mirrors the historical shift from early brand management, where a single manager was accountable for a product’s commercial performance over time, to modern product management, which owns outcomes across discovery, design, delivery, and operations. By explicitly structuring the lifecycle into activities such as Discover, Design, Acquire, Build, Transition, and Operate, ITIL® Product codifies the same holistic view that has gradually emerged in the history of product development as organizations moved away from one‑off project thinking toward continuous product stewardship.​

    A second big idea is the strong emphasis on aligning product work with vision, strategy, and portfolio, which reflects the evolution from “feature factories” to outcome‑driven product organizations. In the Discover and Design chapters, ITIL® Product repeatedly stresses the need to understand context and inputs, agree direction and objectives, and ensure that product roadmaps stay anchored in organizational strategy and value creation. Historically, this echoes the move from reactive, sales‑driven roadmaps toward strategic product management, where decisions are guided by portfolio trade‑offs, positioning, and long‑term customer value rather than just near‑term delivery capacity.​

    ITIL Product® also embeds cross‑functional collaboration and agile ways of working as core success factors, which parallels the industry’s shift from siloed development and operations to integrated product teams. The Build and Operate chapters highlight critical success factors such as strong collaboration between engineering, product management, design, and quality assurance; agile cadences; automated CI/CD pipelines; and incremental delivery with feature toggles and safe rollouts. These practices track closely with the historical rise of Agile, DevOps, and empowered product teams that own the full lifecycle, breaking down the old handoffs between development, operations, and service management.​

    Another major theme is the product‑and‑service value chain: ITIL® Product systematically ties product decisions to the realities of cloud sourcing, service providers, and operational environments, including activities like acquiring cloud services, planning transitions, and coordinating responsibilities between vendors and service providers. This reflects how modern product development history has moved from shipping boxed software or discrete projects to operating live digital services in complex ecosystems. As organizations adopted SaaS, cloud platforms, and managed services, product management had to expand its remit to include sourcing, deployment, and long‑term operability—precisely the terrain ITIL® Product formalizes.​

    Finally, the book’s focus on metrics and continuous improvement—such as delivery velocity, cycle time, defect leakage, and team health—as part of each lifecycle activity reflects the historical maturation of product development into a data‑driven discipline. ITIL® Product treats these measures and their associated “critical success factors” as integral to managing products effectively, not as optional reporting after the fact. This aligns with the broader trajectory from intuitive, craft‑driven product development to modern product operations and analytics practices, where teams continuously learn from production feedback and telemetry to refine products and processes over time. ITIL® Product is definitely a contribution to the field and connects to the broader concepts of ITIL® nicely.

    #ProductManagement #ITSM #PeopleCert

    Bibliography

    Gray, V., Konageski, W., & McDonald, S. (2026). ITIL Product [Book]. PeopleCert.

  • I’m BAAAACK

    I’m BAAAACK

    You may have noticed that I haven’t been active on my blog site (https://adaptiman.com) for some time. Good news – nothing happened to me, I’m not sick, or burned out. I spent the last year working with PeopleCert on the authoring team writing the newest version of ITIL®. The authoring and editorial team at PeopleCert is unbelievable and worth a longer description. In the coming days, I will share my insights on new ITIL®, the authoring process, and how the new version will affect our profession moving forward.

  • The New ITIL is Here

    The New ITIL is Here

    Three weeks ago, PeopleCert released the latest version of ITIL® Foundation . This is the fifth version of ITIL® released since 1989 and, in my opinion, could be the best yet. I was one of the authors for the new version. The experience was eye-opening on a number of levels, which I will describe below. But first, most colleagues want to know what is different with this version – why would I want to spend money to get certified for version 5?

    What’s New?

    There are three main changes to Foundation with a number of smaller but meaningful updates. Most importantly, ITIL® has expanded its scope beyond IT Service Management (ITSM) to include Product Management. The language in Foundation has changed from “ITSM” to “DPSM” (Digital Product and Service Management). This shift, while subtle, is seismic. The product management community has had a long run operating outside the scope of ITSM and created their own tribe. Product managers have their own way of looking at the world of digital products and services. So for PeopleCert to expand into their territory feels a little like stolen land without an acknowledgement. Even so, the purpose in doing this is mainly to address criticism that ITIL® has been too “operational” over the years, not focused enough on the product and service strategy, creation, design, and transition. I agree with this criticism and believe it’s the right thing to do to provide greater more comprehensive coverage of “this thing we do.”

    Pasted image 20260303223628.png

    This shift becomes apparent in a number of changes. The new ITIL® Digital Product and Service Lifecycle represents the Service Value Chain as a cycle of activities that move from the product management side of the model (Discover, Design, Acquire, Build, Transition) to the service management side of the model (Transition, Operate, Deliver, Support). This is a redux of the ITIL® version 3 Service Lifecycle within the context of the Service Value Chain Activities. I think it’s a more complete way of looking at the whole.

    Another notable shift is a greater focus on role capabilities rather than organizational capabilities. This is apparent in the new course designations: Product, Service, Experience, Strategy, and Implementation. The first four are focused more on organizational roles than previous version of ITIL® while Implementation address the need for clear “how to” advice – a frequent criticism of ITIL® over the years. Developing best practices around role-based capabilities helps practitioners answer the question, “Where do I fit?”

    Lastly, new ITIL® is “AI Native.” This is not a recommendation of specific AI technologies, but the development of recommendations that help organizations become disruptors rather than disrupted within increasingly VUCA environments. As with most ITIL® practices, the material related to AI provides solid recommendations that are designed to be timeless.

    The Editorial Process

    The process to create the books belonging to this version of ITIL® took more than a year of our time to complete. The authoring teams, led by two to three lead authors for each book, would write each version of the material in short two-week sprints. At the end, the version would be reviewed by the larger team for feedback and revision. Key ideas and concepts would be discussed in detail with decisions on what and what not to include going back to the core team. Surveys on contested ideas would be distributed between authoring sprints to settle sticky questions.

    Between these sprints, the excellent PeopleCert editorial team would prepare the versions, clean them up, format them, and redistribute to the authoring teams. This process was very efficient, bringing to bear the collective wisdom of the experts around the room. Even though I’ve been in ITSM for three decades, I was in awe of the expertise. The process resembled a modified Delphi research model with the world’s leading experts in our field shaping the collective direction.

    All of this adds up to a reshaping of our profession to broaden IT Service Management into Digital Product and Service Management – a long overdue upgrade to the venerable compendium of best practices we all know and love.

  • The Message IS NOT the Medium

    The Message IS NOT the Medium

    In ITSM, we’ve been talking about “products and services” for a long time. It seems as if these terms live together – you can’t state one without the other. But what do they really mean? Are they the same thing? How are they related? To figure this out, as usual, I’ll go off on a tangent older than most reading this post.

    Forty years ago, Richard Clark wrote a seminal paper on instructional design in which he made the case that the medium of instruction had no effect on learning. He made this point famously when he stated, “The best current evidence is that media are mere vehicles that deliver instruction but do not influence student achievement any more than the truck that delivers our groceries causes changes in our nutrition .” But would we get any nutrition if the truck never came?

    Robert Kozma, who believed that the medium DID matter, would say “no.” He engaged in a friendly debate with Clark over the next twenty years (e.g., ) which played out in a myriad of journals. Is learning realized through the message or the medium that carries it? To this day, the question is still unsettled in the research. But for me, the question was clarified during conversation I had with my librarian wife the other day:

    David: “What are you reading?”

    Allyson: “A book…”

    David: “Is it a good book?”

    Allyson: “Yes, why do you ask?”

    David: “How do you know it’s a good book?”

    Allyson: “(getting annoyed) Because the ideas in it are interesting.”

    David: “Do you value the physical book or the ideas the book conveys more?”

    Allyson: “The ideas, naturally.”

    David: “But would you have learned those ideas WITHOUT the physical book?”

    Allyson: “Well, I don’t really need the physical book. I could’ve read the words somewhere else.”

    David: “Like where?”

    Allyson: “Like another book, or heard them through an audio book, or someone could have told me.”

    David: “So in each case, you need the medium of the printed words, the recorded words, or the spoken words to get the ideas?”

    Allyson: “Well, yes. You have to have some kind of medium to transfer the ideas.”

    I believe the Clark-Kozma debate lingered because the debaters always took one side or the other, never thinking outside the two halves of the question. But the real answer is that both the medium and the message are necessary for learning. The message contains learning (i.e., value) for the learner, which is transferred through the medium.

    This story has a lot in common with the products and services puzzle confronting ITSM professionals. To set it up, in the “good old days,” the difference between products and services was pretty clear. As an example, software designers produced software products. Services such as order fulfillment and technical support were left to the “operational” side of the house to deliver and support the product. There was a clear conceptual definition between products and services. Products were “things.” Services were “actions”.

    These days, with the proliferation of digital “things”, the boundary between products and services (or development and operations) is not that clear. Software has become more service-oriented with the Software as a Service (SaaS) model. In fact, many products are now delivered via the network. Other models (e.g., PaaS, IaaS, etc.) continue to evolve and gain dominance (that’s a lot of aaSes). Services contain both the thing being delivered and the delivery mode. So consulting services is a thing (i.e., advice) being delivered as a service (the engagement, communication, reports, etc.). Is there a difference between products and services, and if so, what is their relationship?

    As true ITSM professionals, we can begin to answer this by asking from where does the value come? Is the value realized through the product or the service? I think digital products represent potential value to the consumer, but the value is only realized when it is delivered through a service. This service may take two forms – access or a service action related to the product. This is true even in the case of a good. The good must be delivered to a consumer for value to be realized. This delivery is a form of a service. Products by themselves are of no value in the same way that an axe is of no value unless you pick it up (i.e., access) and swing it (i.e., service action). Value is contained in products and delivered via services. You cannot provide value with only one – both product and service are necessary and related.

    References:

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  • How much is that DOGE in the window?

    How much is that DOGE in the window?

    I was re-reading a really good book this week. A quote stuck out:

    In most governmental services, there is no market to capture. In place of capture of the market, a governmental agency should deliver economically the service prescribed by law or regulation. The aim should be distinction in service. Continual improvement in government service would earn appreciation of the American public and would hold jobs in the service, and help industry to create more jobs.

    W. Edwards Deming: Out of the Crisis, 1982, MIT Press.

    This seems especially relevant this week as we had the first meeting of the DOGE Subcommittee of the US House Oversight and Government Reform Committee. This is not to be confused with President Trump’s DOGE, headed by Elon Musk. There has been a lot of ink on the nature and relationship between these two DOGEs – enough to perplex and confuse most of the American public. I’m not here to lend an opinion about the relationship or constitutionality of the two organizations. I want to focus on higher questions in light of the above quote. But it seems that we may be losing sight of the bigger picture – that one of the purposes of DOGE is to improve our government by making it more fiscally efficient.

    No Market to Capture

    “No market to capture” means no competition. No competition results in an organizational culture of complacency and mediocrity operating with increasing inefficiency and producing less valuable programs and services unless/until someone/something holds them to account. It’s clear that an organization with no competition is an abnormal condition in a capitalist society. This is the crux of the Marxist argument – that competition should be replaced with socialism and eventually communism. But the end result is centralized control of the means of production, and we have seen what kind of society that leads to.

    Deming makes a key observation. He asserts that since it has a captured market, government has an exceptional duty to deliver economically efficient services in the absence of market forces. Is our government delivering on this promise?

    Distinction in Service

    Distinction in service would seem to indicate that the efficiency and effectiveness of government programs should be exemplary. The way to achieve exemplary services in any sector is to engage in a culture of continual improvement. Since our government services don’t appear to be exemplary in many cases, is this an indication of a lack of focus on continual improvement? How do we change that?

    The first two steps of the ITIL Continual Improvement process are 1) What is the vision? and 2) Where are we now? The vision (or strategy, if you will) comes from our executive branch, i.e., the president. This is the way our government is structured, whether we like it or not. Where are we now? I would point out that the debt-to-GDP ratio of the U.S. over the last 45 years has increase four-fold. In 1980, the ratio was 31%. Today, the ratio is 120%. We can argue about whether or not this fiscal path is sustainable, but that’s not my point. It would seem obvious to anyone that our current state is not efficient and arguably not effective. It is definitely not exemplary. How do we change this?

    Continual Improvement

    Deming points out HOW this is done – by focusing on continual improvement. As an ITSM practitioner and educator, I frequently think about continual improvement and how it affects value. Having worked in the government sector, I have seen how a lack of competition can lead to complacency and mediocrity. But I’ve also seen the results of having the RIGHT people in charge. My observation is that the biggest difference between the right people and the wrong people is a focus on developing a culture of continual improvement within the organization. In the case of our government, these people understand that they have an awesome and sacred responsibility to use their position with honesty and integrity, and in so doing will earn the respect and appreciation of the American people. This is what I believe our government can and should become.