Where My Social Conscience Came From

Denis Lindsay

Between 1948 and 1970, nearly half a million people moved from the Caribbean to Britain, which in 1948 faced severe labour shortages in the wake of the Second World War. This migration of British Nationals was later referred to as ‘the Windrush Generation’. My parents were of that generation and arrived in the UK in the 1950s.

As they were deeply religious, on arrival in Britain they joined the black churches that started to spring up, to satisfy their need to worship. These churches started out as meetings in a living room of one of the congregation. However, as immigration continued, those congregations quickly grew larger and the services moved to church buildings. 

A large proportion of the children of the Windrush generation grew up in ‘the church’. I was one of those children. At church, in Newport, South Wales, I gained a supplementary education that included extra lessons in reading and writing, from a very early age.

Gradually, the churches started to find a political voice, which did not come easily. This is because some of the more traditional black Christians continued to believe that their main purpose was to focus on church life, rather than to participate in public life. 

My father, a factory worker, became a lay preacher and officer of a church with a large congregation that had a high profile in the community. Even though he became a community leader, he would say that he was not interested in politics. In fact, he would often call politics the art of “politricks”. However, due to his standing in the community he developed a very strong social conscience and was acutely aware of the problems that affected a lot of people in the community, such as being impacted by the poverty premium or having issues with school institutions. Therefore, he always involved himself in activities that did something to help people in the community. 

His whole persona was centred on this aspect. He encouraged the whole of his family to develop this sense of responsibility; to contribute to causes that helped alleviate inequalities for people in disadvantaged and underserved communities. Whoever they were, whatever their backgrounds, and wherever they lived. 

At the heart of my father’s plans for his childrens’ future, was to leave a legacy of social mobility for them and for his grandchildren, using education. He would often say, “silver and gold may fade away, but a good education will never decay”. His expectation of us was to do well in our education.

Supplementary to this was my mother’s drive to encourage us to be financially literate. When we were old enough, she introduced us to the benefits of saving by opening building society accounts for each of us and introducing us to the Caribbean ‘pardner’ system. The pardner system is where a group of people, the 'pardners', agree to pay a regular sum or 'hand', to a trusted person or 'banker', usually an older, respected member of the community, on a weekly basis. Every week, one member of the group received the total amount or 'draw', contributed by all of the partners. Joining a pardner helped me purchase my first bass guitar and helped me to keep my first car (affectionately known as my ‘banger’) on the road.

Even though our family belonged to a working-class community, this did not stop my parents from finding opportunities to help those that needed our assistance. Therefore, I have followed my parents’ example of giving back and have involved myself in activities that promoted equity of opportunities to groups of people that would ordinarily not have access to them. 

The need to do this was amplified when I started my own family in the City of Bristol, where I have lived for over 25 years. Once my children started to go to school, I became very motivated to be involved as a volunteer in educational settings. Therefore, I became a school governor in primary schools, secondary schools (where I became Chair of Governors) and post-16 provision. I was also a standing invitee member of the Children & Young Persons Scrutiny Committee in Bristol City Council as well as the chair of a social enterprise that, amongst other things, operated supplementary schools in Bristol.

I have also held several Non-Executive positions, that allowed me to contribute to advocating for disadvantaged communities in gaining access to financial services and attaining access to employment opportunities. This included being on the board of the award-winning St Pauls Carnival and being on the board of the Bristol Credit Union.

My passion for understanding how innovation and emerging technologies can be used for business advantage, has allowed me to contribute to ‘levelling up’ in disadvantaged communities, by getting involved with charities that create new pathways for young people interested in STEM. Assisting young people to develop and reach their full potential in the area of STEM, is also a core theme for Cambridge Management Consulting.

One of the charities that Cambridge Management Consulting is supporting, is DigiLocal CIO (www.digilocal.org.uk). The charity aims to nurture a passion and capability for engineering creativity in young people, in Bristol and the West of England. DigiLocal is also very keen to support underrepresented groups and introduce them into technology. They work closely with community centres, high tech companies, universities, STEM ambassadors and other partners across the region and internationally to deliver high quality, age-appropriate, scaffolded activities on a weekly basis. 

DigiLocal utilise programming languages and platform technologies to engage young people in technology-based projects, to support problem solving skills vital to life-long learning and careers. 

This complements Cambridge Management Consulting’s goal to link capable young people with organisational capabilities that can be used in nascent markets. The company aim to assist with identifying the core dynamic processes of innovation, necessary for the 4th Industrial Revolution, or 4IR. 

4IR has accelerated the transformation of industry and is distinguishable by its development of cyber-physical systems. With cyber-physical systems, technology interacts with human and machine in new ways. This interaction changes the capabilities of people and machines, and augments technology into people’s lives. This has fuelled the digital economy through the introduction of emerging technologies such as AI, machine learning, adaptive manufacturing, and ‘clustered regularly interspaced short palindromic repeats’ (CRISPR), to name a few. The digital economy is characterised by the recombining of talent, capabilities and expertise, with new markets to satisfy new needs often via platform businesses.

“Data is the new oil driving the economy globally—and artificial intelligence is the engine shaping our future.” - Young Sohn, President and CSO of Samsung Electronics and Chairman of HARMAN International industries

Platforms are organisations that act as hubs made up of core technologies, standards, and tools that provide benefits to companies, sets of companies, or users. Platforms can facilitate retail and buying of services, connect people to jobs and allow people to share and access digital code. Platform business models are becoming a prominent part of the digital economy and represent a shift away from traditional notions of firms and markets. 

Cambridge Management Consulting is supporting DigiLocal CIO to maintain their sustainability during these unprecedented times. However, they are planning to be more involved by providing volunteers for some of DigiLocal’s existing projects and collaborating with them on new ones. For example, Cambridge Management Consulting are collaborating with DigiLocal on the formation of an entrepreneurial ecosystem, with companies from the high-tech sector and a financial cooperative, for the purpose of engaging young people from underrepresented communities, in STEM, business management and financial management. The plan is to create a platform business challenge.

The challenge will allow young people to experience the whole innovation lifecycle from ideation to value capture and then assist them with managing the platform business. The activities will emphasise the importance of developing non-cognitive skills like perseverance, conscientiousness, teamworking and interpersonal skills. These skills can be integrated into STEM learning to provide the need for innovation and an entrepreneurial attitude, as well as the emotional and social intelligence required in today’s nascent markets.

“4IR will require a much more blended learning experience, with skills such as creative ingenuity and placing emphasis on design, entrepreneurship and ethics being required alongside technical STEM staples.” – The Institute of Engineering and Technology

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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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