Project Management as a Service

Jason Jennings | Elevate your project management with AI. This guide for senior leaders explains how AI tools can enhance project performance through predictive foresight, cognitive collaboration, and portfolio intelligence. Unlock the potential of AI in your organisation and avoid the common pitfalls.

Disruption now occurs with unprecedented regularity, as industries are upended not by traditional competitors but by unexpected entrants wielding innovative technologies and business models.  The difference between thriving and becoming obsolete increasingly hinges on your organisation's ability to anticipate and adapt to disruption before it's too late. The Ur-case of this was Blockbuster, who ignored the threat of streaming technologies, and specifically Netflix (which it could have bought), until it was far too late to pivot and catch up. Our article explores how businesses can develop strategies that offer predictions and agility, embedding creativity and insight into frameworks and actionable steps that plot a course through the disruptive landscapes of the next few years and beyond. Understanding the Nature of Disruption Disruption is no longer just a buzzword — or the philosophy of ‘break things and move fast’ that drove the early tech start-ups that now dominate our waking lives. The theory of disruptive innovation, popularised by Harvard Business School professor Clayton Christensen, explains how new technologies, products, or services can start small but eventually surpass established offerings in existing markets[1]. This process typically begins when smaller companies with fewer resources challenge established or traditional businesses by addressing underserved market needs[5] in new ways; usually with business models that bypass normal routes to market and allow these companies to scale at pace. Recent examples include: fintech banks that challenge the need for brick-and-mortar; online over-the-top media applications that replace the need for print media and traditional broadcast television; digital media and the success of subscription models, replacing physical media for music, films and other forms of entertainment; and platform apps like Uber, which connect us to a fleet of independent drivers who are paid per ‘gig’ and regulated by a ratings system. Today's notion of disruption is characterised by several key features: Accelerated Pace of Change The pace of disruption has accelerated beyond anything previously seen, with transformative technologies reaching mainstream adoption faster than ever[15]. While it took decades for technologies like electricity and telephones to achieve mass adoption, modern innovations like smartphones and AI have transformed entire industries in just a few years. Cross-Industry Disruption Disruptive threats increasingly come from outside traditional industry boundaries. Companies must now monitor not only direct competitors but also adjacent industries and completely unrelated sectors where transferable innovations might emerge[15]. For example, tech giants have disrupted financial services, retail, healthcare, and automotive industries without prior experience in these sectors. Technology-Enabled Business Models Today's most powerful disruptions combine technological innovation with business model innovation. Examples include: Platform models: Uber revolutionised transportation by connecting riders and drivers through a user-friendly mobile app, utilising independent drivers who pay for their own vehicles for rapid scalability[1]. Subscription services: Netflix and Spotify transformed entertainment consumption by shifting from physical media to on-demand streaming with personalised algorithmic content recommendations[1]. Direct-to-consumer approaches: Tesla's direct sales model bypassed traditional dealership networks while integrating advanced electric vehicle technology and autonomous capabilities[1]. From Traditional to Adaptive Strategy Traditional strategic planning approaches — characterised by multi-year roadmaps and rigid implementation plans — have become increasingly inadequate in today's fast-moving business environment. We look at some of the challenges businesses now face below. The Limitations of Traditional Strategy Conventional strategies often fail because they: Assume relative stability in market conditions Take too long to develop and implement Lack flexibility to respond to unexpected changes Rely heavily on historical data to predict future outcomes The Adaptive Strategy Advantage Adaptive strategy, often described as the "Be Fast" approach, emphasises agility, experimentation, and continuous evolution[3]. This approach thrives in fluid industries with high uncertainty and a fast pace of change, such as technology, fashion, entertainment, and start-ups[3]. Organisations that embrace adaptive strategies gain significant advantages: Higher profitability: Companies ranking high in adaptability enjoy up to 75% higher profitability than their less adaptive counterparts[10]. Faster market response: Adaptive firms achieve approximately 60% faster time-to-market compared to traditional competitors[10]. Innovation capacity: The ability to experiment boldly and rapidly iterate creates an environment where breakthrough innovations are more likely to emerge[10]. Real-World Adaptive Strategy Success Consider Netflix's journey from DVD rental service to streaming giant to content producer. Rather than creating a 10-year plan, Netflix constantly evolved based on emerging technologies, customer preferences, and market opportunities. This adaptive approach allowed them to pivot whenever necessary while maintaining their core value proposition of convenient entertainment access[1]. A New Framework for Ensuring Strategy Relevance To maintain strategic relevance amid disruptive trends, companies need a systematic framework that balances stability with flexibility. Anticipate Disruption Through Trend Analysis Successful businesses identify potential disruptions before they manifest fully by monitoring Hard Trends — future certainties based on measurable facts[15]. These include demographic shifts, technological advancements, and regulatory changes that provide predictable directional guidance. For example, financial services firms that recognised the Hard Trend of increasing digital connectivity were better positioned to respond to the rise of mobile banking and fintech disruption. Build your Agility Organisational structures and processes must be designed to support rapid adaptation: Decentralised decision-making: Empower teams closest to customers and market changes to make decisions without lengthy approval chains[3]. Cross-functional collaboration: Break down silos between departments to enable faster information sharing and coordinated responses to change[3]. Agile methodologies: Adapt software development approaches like sprints, continuous integration, and iterative testing to broader business strategy[3]. Foster a Culture of Innovation Innovation cannot be an isolated function — it must permeate your entire organisation: Encourage experimentation: Create safe spaces for testing new ideas with minimal bureaucracy and fear of failure[3]. Customer-centric innovation: Ground innovation efforts in a deep understanding of customer needs rather than internal assumptions[14]. Structured innovation processes: Establish clear pathways for moving ideas from conception to implementation while maintaining flexibility[14]. KPIs that support innovation: For example, looking at the value of a portfolio of innovations rather than a specific innovation project. Leverage Data & Technology Data-driven insights provide a vital competitive advantage in your disruption response: Real-time market intelligence: Deploy advanced analytics to detect weak signals of change before they emerge fully-formed[3]. Predictive modelling: Use Agentic AI to identify patterns and forecast potential disruptions[2]. Digital transformation lifecycle: Invest in the necessary expertise and infrastructure to undertake on-going programmes of transformation — a big step, and potentially expensive, but it can help immunise your business against disruptive technologies and new models. Practical Implementation Steps Translating disruption awareness into effective action requires specific tactical approaches.

Peter Drucker wrote in his book The Practice of Management (1954) that ‘it is the customer who determines what a business is’. This sentiment still firmly holds true today, as consumers increasingly expect personalised shopping experiences from aspirational businesses that desire to have a positive impact on the community, country, or world in some way. Across this series of articles, Daniel Fitzsimmons explores the role of customer-centricity as a mechanism to support the delivery of superior customer experience and business profitability. In the first two articles in this Customer Centricity series, Daniel has established the foundations of what makes a truly customer-centric organisation, and how a business can be tailored towards ensured customer satisfaction. In the final article in the series, he takes this further to discuss how technological innovation can amplify these goals. Digital Transformation – Technology Acceptance Model (TAM) Technology is typically the most common interaction point for customers engaging with products, and is especially critical to the service industry. The banking industry has pioneered the digitalisation of services (Dube and Helkkula, 2015), with digital payment services and blockchain solutions. In a fiercely competitive environment, the creation of superior value requires increased insight into how customers experience value (Medberg and Heinonen, 2014). Value can be typically defined as the ‘consumers’ overall assessment of the utility of a product based on perceptions of what is received and what is given’ (Zeithma, 1988). This concept can be extended to a value definition in the following forms: Total Monetary Value – The amount a customer is prepared to pay for a product Perceived Use Value – Defined by a customer’s perception (utility) Exchange Value – Realised when the product is sold Value can be enhanced through digital capabilities, marking technology solutions, and digital marketing strategies to support user acceptance. Securing User Acceptance One compelling approach to understanding how users may engage with a new technology is the TAM model. The TAM model suggests that Perceived Usefulness (PU) and Perceived Ease of USE (PEOU), define how a user will interact with a new product or service, i.e. if the product usefulness and ease of use can be communication, barriers to adoption can be mitigated. When developing new customer solutions, mobilisation of the TAM model is the engagement of consumers in product development, and inclusion of then construct of ‘user intent’ to inform product ideation. Venkatesh et al. formulated the unified theory of acceptance and use of technology (UTAUT). This model was found to outperform other models (Adjusted R square of 69 percent), and is worthy of further investigation in terms of its ability to predict user acceptance of new technology solutions. Experimentation Technology should function as an enabling mechanism to support experimentation in the creation of products and services, and increased alignment with prospective customers. Experimentation, which from an engineering perspective represents ‘continuous improvement’, allows businesses to see what does and doesn’t resonate with target personas, iterating towards a value proposition that will drive superior customer engagement and subsequently an increased % of the customer wallet. Booking.com runs more than 1,000 tests simultaneously to fine tune its offering specific to a user profile, behaviours, and characteristics. Experimentation and the subsequent data generated provides a meaningful base from which to make decisions, thereby negating ‘strong opinions or the HiPPO mentality, which is often pervasive in organisations. For experimentation to be successful, leadership needs to create a culture of curiosity in the business, supported by organisational design and the psychological safety to try and fail. Digital continuity provides an exciting opportunity to enhance the customer voice in product development. Real time data availability provides instant insight into consumer preference, which can be used to support product development and increasingly personalised product offers. Through the experimentation cycle, digital prototypes can be rolled out quickly to support the product innovation cycle. For experimentation to be successful, customer requirements should be integrated into business operations to create an industry-aligned value proposition (Ohmae, 1988). Conclusion Throughout this three-part series, I have demonstrated the importance of customer-centricity as a critical way to ensure success. In this article specifically, I have covered how to leverage technology – a power that is already prevalent and constantly evolving – to best support this venture. Building upon the TAM model, technology can be used to facilitate enhanced customer satisfaction, consequently spurring innovation and growth.