Once Upon a Business Case: Recognising the Strategy of Story

Mauro Mortali


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"If you want to build a ship, don’t drum up people to collect wood, divide the tasks, and give orders. Instead, teach them to yearn for the vast and endless sea."

—Antoine de Saint-Exupéry


The need to communicate complex topics to third parties, whether they be executives, stakeholders, or potential clients, is a universally recognised challenge across industries and sectors – particularly doing so in a way that connects with the people behind these roles. You can enter a meeting with all of the evidence, data, insights, and analysis, but unless you make an emotional connection with your audience, you are only going to get halfway there. In other words, you might win their minds, but how are you going to win their hearts?


In this article, Mauro Mortali, Senior Partner for Strategy and expert in leveraging the power of narrative to convey a message, details how to apply age-old story structures and techniques in a business context to amplify communication and build positive working relationships. This approach of using the power of story is a key part of how Cambridge MC delivers Strategy Development projects.


The Science of Story


The practice of storytelling is an intrinsic component in the genetics of human nature and our history. Cave paintings may be comprised of pictures rather than words, but they still tell a story and represent the way in which constructing narratives is as old as communication itself. Since then, story has proved invaluable for enabling us to share experiences, transfer knowledge, and build social connections.


In fact, there is evidence to suggest that story is the primary lens with which we interpret the world and digest our day-to-day lives. Though it may seem reductive, our brains are constantly creating a world for us to understand our experiences, populated with ‘good guys’ and ‘bad guys’, main characters – Me! – and deuteragonists – You. All of our milestones, memories, and goals, become the plot-points that tell the story of our lives.


This makes them the perfect, universal language with which to engage with other people. Our brains respond positively and attentively to stories because they eliminate distraction and help us to remain focused on a particular topic or message. We register stories with the same receptors that detect speakers, giving them the ability to reach our psyche quicker and facilitate a shared experience. 


In a Board Room Far, Far Away


So how can we apply these practices and principles to our working life? In short: decision making is driven by emotion first and rationality second. We spend a lot of our time justifying decisions that we have already made with our gut. Fundamentally, organisations are systems of people who are characterised and steered by their emotions, and so organisations should be considered to be a network of collected emotions.


Thus, data may speak to a person’s rationality, but it is often not enough to influence their actions or their decisions. Stories are significantly more powerful for the way they capture someone’s emotions, and so the language and narrative you use to frame your data has much more authority. Below are several techniques that you can use to strengthen this framing to facilitate an emotional connection with your audience.


Narrative Arcs


A narrative arc can be a useful tool for structuring a speech or proposal to make its delivery more cohesive, relatable, and dynamic. There are numerous classical arcs which you can extrapolate to fit the message you are seeking to convey and suit the tone you are hoping to create. 


The Cinderella Story, for example, provides an inspiring rags-to-riches trajectory which communicates hope, optimism, and determination. Man in a Hole (a person leading a perfectly bearable life finds misfortune, overcomes it, and then is much happier afterwards) is useful when encouraging someone to escape from a stagnating situation. And when you need to face your fears, or empower someone to do the same, Overcoming the Monster (an underdog story where the main character sets out to destroy a greater evil of some kind) provides a positive framework for success.


The most common and popular, however, was uncovered by Joseph Campbell (1904-1987) in the 1940s, upon collating and studying all available myths, legends, and fairytales across the world to compare them for similar patterns and structures. Following this thematic analysis, Campbell coined the Hero’s Journey, a monomyth which can be applied to nearly all protagonists between classical and modern fiction, and now the boardroom, following their journey from the call to adventure, initial resistance, influence from a wise mentor, and ultimately pursuing their mission. 


Simplified, this becomes a universal and accessible three-act structure of Context / Conflict / Resolution (known to some as SOAR: Situation, Obstacle, Action, Result) which can be used to frame any story and give it an emotional, uplifting ending.


Hook, Line & Success


When you begin a story, open in a way that immediately captivates your audience, and sustains their engagement and belief in what you are about to reveal. These are referred to as hooks, and, similar to narrative arcs, there are numerous different kinds that you can use. For example:


  • Provocative Question: Intrigue your audience with a provocative question that compels them to learn the answer, e.g. What if a single app could revolutionise the way we manage our health?


  • Personal Anecdote: Speak to the human, emotional side of your audience by pulling from your background or that of your company, e.g. Five years ago, our founder was living out of a van chasing a dream; today, that dream is a $1million enterprise. 


These represent only a couple of examples, but it is important to remember that the rule of first impressions applies just as much to your story as it does to you, so open with something charismatic that will make your audience want to learn the rest.


Know Your Audience


Choosing a hook to open your story can be coloured by a keen and informed understanding of your audience. Specifically, predicting how they will respond to a topic is dependent on knowing their comprehension of it before you begin.


One way to visualise this is through the idea of a Story Ladder, which extends from a place of no awareness on your given subject or message, and lands in a place of actionable understanding. The rungs in between represent all the stages of knowledge which it takes to get from one end to the other—and thus it is unrealistic to expect your audience to be able to jump multiple rungs at a time. Before addressing your audience, first acknowledge where on this ladder they are to anticipate where you would like them to end up, and how you will manoeuvre them there.


Another way to imagine this ladder uses a more emotional structure. If you view the top of the ladder as a feeling you want to produce, you can use the rungs as stages to work out how you can produce an emotional pay-off.


Happily Ever After


We will finish our story with a reiteration on the importance of speaking to the hearts of your audience, as well as their minds. One half of this may be supported by data, facts, and figures, but the rest is ensured by a relatable, thought-through, and structured delivery which speaks to the human, rather than just the client/employee/stakeholder/etc.


This can be informed by turning to the idea of story, a premise which everyone has grown up with, whether consciously or not, and thus envelops a social feeling of community, and amplifies your message with importance and universality.


In this article, we have detailed the basic methods of forming this structure and improving how you frame your narratives, but for further guidance and information on this topic and how Cambridge MC uses story within Strategy Development Projects, get in touch with Mauro Mortali, Senior Partner for Strategy.


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by Darren Sheppard 4 December 2025
What is the Contract Lifecycle Management and Why does it Matter? The future success of your business depends on realising the value that’s captured in its contracts. From vendor agreements to employee documents, everywhere you look are commitments that need to be met for your business to succeed. The type of contract and the nature of goods or services it covers will determine what sort of management activities might be needed at each stage. How your company is organised will also determine which departments or individuals are responsible for what activities at each stage. Contract Lifecycle Management, from a buyer's perspective, is the process of defining and designing the actual activities needed in each stage for any specific contract, allocating ownership of the activities to individuals or groups, and monitoring the performance of those activities as the contract progresses through its lifecycle. The ultimate aim is to minimise surprises, ensure the contracted goods or services are delivered by the vendor in accordance with the contract, and realise the expected business benefits and value for money. The Problem of Redundant Spend in Contracts Despite the built-in imbalance of information favoring suppliers, companies still choose to oversee these vendors internally. However, many adopt a reactive, unstructured approach to supplier management and struggle to bridge the gap between contractual expectations and actual performance. Currently, where governance exists, it is often understaffed, with weak, missing, or poorly enforced processes. The focus is primarily on manual data collection, validation, and basic retrospective reporting of supplier performance, rather than on proactively managing risk, relationships, and overall performance. The amount of redundant spend in contracts can vary widely depending on the industry, the complexity of the contracts, and how rigorously they are managed. For further information on this, Cambridge MC’s case studies provide insights into typical ranges and common sources of redundant spend. As a general estimate, industry analysts often state that redundant spend can account for as much as 20% of total contract value. In some cases, especially in poorly managed contracts, this can be much higher. What is AI-driven Contract Management? Artificial Intelligence (AI) is redefining contract management, transforming a historically time-consuming and manual process into a streamlined, efficient, and intelligent operation. Traditionally, managing contracts required legal teams to navigate through extensive paperwork, drafting, reviewing, and monitoring agreements — a process prone to inefficiencies and human error. With the emergence of artificial intelligence, particularly generative AI and natural language processing (NLP), this area of operations is undergoing a paradigm shift. This step change is not without concerns however, as there are the inevitable risks of AI hallucinations, training data biases and the threat to jobs. AI-driven contract management solutions not only automate repetitive tasks but also uncover valuable insights locked up in contract data, improving compliance and reducing the risks that are often lost in reams paperwork and contract clauses. Put simply, AI can automate, analyse, and optimise every aspect of your contract lifecycle. From drafting and negotiation to approval, storage, and tracking, AI-powered platforms enhance precision and speed across these processes; in some cases reducing work that might take several days to minutes or hours. By discerning patterns and identifying key terms, conditions, and concepts within agreements, AI enables businesses to parse complex contracts with ease and efficiency. In theory, this empowers your legal and contract teams (rather than reducing them), allowing personnel to focus on high-level tasks such as strategy rather than minutiae. However, it is important to recognise that none of the solutions available in the marketplace today offer companies an integrated supplier management solution, combining a comprehensive software platform, capable of advanced analytics, with a managed service. Cambridge Management Consulting is one of only a few consultancies that offers fully integrated Contract Management as a Service (CMaaS). Benefits of Integrating AI into your Contract Lifecycle Management Cambridge MC’s Contract Management as a Service (CMaaS) 360-degree Visibility: Enable your business to gain 360-degree visibility into contracts and streamline the change management process. Real-time Data: Gain real-time performance data and granularly compare it against contractually obligated outcomes. More Control: Take control of your contracts and associated relationships with an integrated, centralised platform. Advanced meta data searches provide specific information on external risk elements, and qualitative and quantitative insights into performance. Reduces Costs: By automating manual processes, businesses can significantly reduce administrative costs associated with contract management. AI-based solutions eliminate inefficiencies in the contract lifecycle while minimising reliance on external legal counsel for routine tasks. Supplier Collaboration: Proactively drive supplier collaboration and take a data-driven approach towards managing relationships and governance process health. Enhanced Compliance: AI tools ensure that contracts adhere to internal policies and external regulations by flagging non-compliant clauses during the drafting or review stage. This proactive approach reduces the risk of costly disputes or penalties. Reduces Human Errors: In traditional contract management processes, human errors can lead to missed deadlines and hidden risks. AI-powered systems use natural language processing to identify inconsistencies or inaccuracies in contracts before they escalate into larger issues. Automates Repetitive Tasks: AI-powered tools automate time-consuming tasks such as drafting contracts, reviewing documents for errors, and extracting key terms. This frees up legal teams to focus on higher-value activities like strategic negotiations and risk assessment. We can accurately model and connect commercial information across end-to-end processes and execution systems. AI capabilities then derive and apply automated commercial intelligence (from thousands of commercial experts using those systems) to error-proof complex tasks such as searching for hidden contract risks, determining SLA calculations and performing invoice matching/approvals directly against best-in-class criteria. Contract management teams using AI tools reported an annual savings rate that is 37% higher than peers. Spending and tracking rebates, delivery terms and volume discounts can ensure that all of the savings negotiated in a sourcing cycle are based on our experience of managing complex contracts for a wide variety of customers. Our Contract Management as a Service, underpinned by AI software tooling, has already delivered tangible benefits and proven success. 8 Steps to Transition Your Organisation to AI Contract Management Implementing AI-driven contract management requires a thoughtful and structured approach to ensure seamless integration and long-term success. By following these key steps your organisation can avoid delays and costly setbacks. Step 1 Digitise Contracts and Centralise in the Cloud: Begin by converting all existing contracts into a digital format and storing them in a secure, centralised, cloud-based repository. This ensures contracts are accessible, organised, and easier to manage. A cloud-based system also facilitates real-time collaboration and allows AI to extract data from various file formats, such as PDFs and OCR-scanned images, with ease. Search for and retrieve contracts using a variety of advanced search features such as full text search, Boolean, regex, fuzzy, and more. Monitor upcoming renewal and expiration events with configurable alerts, notifications, and calendar entries. Streamline contract change management with robust version control and automatically refresh updated metadata and affected obligations. Step 2 Choose the Right AI-Powered Contract Management Software: Selecting the right software is a critical step in setting up your management system. Evaluate platforms based on their ability to meet your organisation’s unique contracting needs. Consider key factors such as data privacy and security, integration with existing systems, ease of implementation, and the accuracy of AI-generated outputs. A well-chosen platform will streamline workflows while ensuring compliance and scalability. Step 3 Understand How AI Analyses Contracts: To make the most of AI, it’s essential to understand how it processes contract data. AI systems use Natural Language Processing (NLP) to interpret and extract meaning from human-readable contract terms, while Machine Learning (ML) enables the system to continuously improve its accuracy through experience. These combined technologies allow AI to identify key clauses, conditions, and obligations, as well as extract critical data like dates, parties, and legal provisions. Training your team on these capabilities will help them to understand the system and diagnose inconsistencies. Step 4 Maintain Oversight and Validate AI Outputs: While AI can automate repetitive tasks and significantly reduce manual effort, human oversight is indispensable. Implement a thorough process for spot-checking AI-generated outputs to ensure accuracy, compliance, and alignment with organisational standards. Legal teams should review contracts processed by AI to verify the integrity of agreements and minimise risks. This collaborative approach between AI and human contract management expertise ensures confidence in the system. Step 5 Refine the Data Pool for Better Results: The quality of AI’s analysis depends heavily on the data it is trained on. Regularly refine and update your data pool by incorporating industry-relevant contract examples and removing errors or inconsistencies. A well-maintained data set enhances the precision of AI outputs, enabling the system to adapt to evolving business needs and legal standards. Step 6 Establish Frameworks for Ongoing AI Management: To ensure long-term success, set clear objectives and measurable goals for your AI contract management system. Define key performance indicators (KPIs) to track progress and prioritise features that align with your organisation’s specific requirements. Establish workflows and governance frameworks to guide the use of AI tools, ensuring consistency and accountability in contract management processes. Step 7 Train and Empower Your Teams: Equip your teams with the skills and knowledge they need to use AI tools effectively. Conduct hands-on training sessions to familiarise users with the platform’s features and functionalities. Create a feedback loop to gather insights from your team, allowing for continuous improvement of the system. Avoid change resistance by using change management methodologies, as this will foster trust in the technology and drive successful adoption. Step 8 Ensure Ethical and Secure Use of AI: Tools Promote transparency and integrity in the use of AI-driven contract management. Legal teams should have the ability to filter sensitive information, secure data within private cloud environments, and trace data back to its source when needed. By prioritising data security and ethical AI practices, organisations can build trust and mitigate potential risks. With the right tools, training, and oversight, AI can become a powerful ally in achieving operational excellence as well as reducing costs and risk. Overcoming the Technical & Human Challenges While the benefits are compelling, implementing AI in contract management comes with some unique challenges which need to be managed by your leadership and contract teams: Data Security Concerns: Uploading sensitive contracts to cloud-based platforms risks data breaches and phishing attacks. Integration Complexities: Incorporating AI tools into existing systems requires careful planning to avoid disruptions and downtime. Change Fatigue & Resistance: Training employees to use new technologies can be time-intensive and costly. There is a natural resistance to change, the dynamics of which are often overlooked and ignored, even though these risks are often a major cause of project failure. Reliance on Generic Models: Off-the-shelf AI models may not fully align with your needs without detailed customisation. To address these challenges, businesses should partner with experienced providers who specialise in delivering tailored AI-driven solutions for contract lifecycle management. Case Study 1: The CRM That Nobody Used A mid-sized company invests £50,000 in a cutting-edge Customer Relationship Management (CRM) system, hoping to streamline customer interactions, automate follow-ups, and boost sales performance. The leadership expects this software to increase efficiency and revenue. However, after six months: Sales teams continue using spreadsheets because they find the CRM complicated. Managers struggle to generate reports because the system wasn’t set up properly. Customer data is inconsistent, leading to missed opportunities. The Result: The software becomes an expensive shelf-ware — a wasted investment that adds no value because the employees never fully adopted it. Case Study 2: Using Contract Management Experts to Set Up, Customise and Provide Training If the previous company had invested in professional services alongside the software, the outcome would have been very different. A team of CMaaS experts would: Train employees to ensure adoption and confidence in using the system. Customise the software to fit business needs, eliminating frustrations. Provide ongoing support, so issues don’t lead to abandonment. Generate workflows and governance for upward communication and visibility of adherence. The Result: A fully customised CRM that significantly improves the Contract Management lifecycle, leading to: more efficient workflows, more time for the contract team to spend on higher value work, automated tasks and event notifications, and real-time analytics. With full utilisation and efficiency, the software delivers real ROI, making it a strategic investment instead of a sunk cost. Summary AI is reshaping the way organisations approach contract lifecycle management by automating processes, enhancing compliance, reducing risks, and improving visibility into contractual obligations. From data extraction to risk analysis, AI-powered tools are empowering legal teams with actionable insights while driving operational efficiency. However, successful implementation requires overcoming challenges such as data security concerns and integration complexities. By choosing the right solutions, tailored to their needs — and partnering with experts like Cambridge Management Consulting — businesses can overcome the challenges and unlock the full potential of AI-based contract management. A Summary of Key Benefits Manage the entire lifecycle of supplier management on a single integrated platform Stop value leakage: as much as 20% of Annual Contract Value (ACV) Reduce on-going governance and application support and maintenance expenses by up to 60% Deliver a higher level of service to your end-user community. Speed without compromise: accomplish more in less time with automation capabilities Smarter contracts allow you to leverage analytics while you negotiate Manage and reduce risk at every step of the contract lifecycle Up to 90% reduction in creating first drafts Reduction in CLM costs and extraction costs How we Can Help Cambridge Management Consulting stands at the forefront of delivering innovative AI-powered solutions for contract lifecycle management. With specialised teams in both AI and Contract Management, we are well-placed to design and manage your transition with minimal disruption to operations. We have already worked with many public and private organisations, during due diligence, deal negotiation, TSAs, and exit phases; rescuing millions in contract management issues. Use the contact form below to send your queries to Darren Sheppard , Senior Partner for Contract Management. Go to our Contract Management Service Page
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