Targeting the Social in ESG

Dr Caroline Burt


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What is ESG?


ESG is often misunderstood or not understood in depth. It is commonly associated with ‘business and the environment’ (as well as being a growing concern in financial investment and the public sector) and is sometimes considered as meaning the same as ‘sustainability’ or ‘net zero’. These terms are sometimes used interchangeably (even though they differ in very important ways). 


But while the three parts of ESG—Environmental, Social, and Governance—are distinct from one another, they are also interdependent.


In simple terms, ESG is a framework that is embedded into an organisation to create a paradigmatic shift towards a stakeholder-centric approach. The fundamental belief it represents is that ‘environment’ is only one pillar of three that determine the overall commitment of an organisation to sustainable outcomes that influence individuals, society and the planet. 


Some examples of the issues that fall under each ESG pillar are given below:


Environmental


• Climate Change

• Decarbonisation

• Water pollution, wastage and scarcity

• Air pollution

• Deforestation


Social


• Mental health at work

• Diversity and Inclusion

• Relation to local communities

• Workplace culture

• Supply chain management


Governance


• Makeup of the board

• Strategy and goals

• Political ties and lobbying

• Choice of companies for tender

• Ethics and values


In this introductory article (the first part of a series) we focus on the ‘Social’ pillar.

The impact of ESG on our perception of 'good' companies

A British Exploring Society expedition in Iceland
The three pillars of ESG: ENVIRONMENT, SOCIAL & GOVERNANCE

Over the last two decades, climate change, environmental concerns and sustainability have become major issues in public and corporate discourse. The imperative is clear: climate change is already upon us and having a major and growing impact on the lives we lead, so we must do something urgently.


Everyone—individuals, government and all organisations, private or public—has an obligation to try to mitigate, and in some cases reverse, developing problems. This is not just a ‘nice to have’ or the right thing for the planet and the people on it, it is fundamental to business success. 


In his 2022 ‘Letter to CEOs’, which has become a keenly anticipated annual event, Larry Fink of Blackrock wrote,


“Most stakeholders—from shareholders, to employees, to customers, to communities, and regulators—now expect companies to play a role in decarbonizing the global economy. Few things will impact capital allocation decisions—and thereby the long-term value of your company—more than how effectively you navigate the global energy transition in the years ahead.” [1]


As head of a global investment management and financial services business, Fink has had one succinct message since 2020: "climate risk is investment risk". But of course, it is not just investment risk. All organisations, of whatever type, must make changes to what they are doing if they are to survive, and if we are to survive. The biggest risks do not therefore come from acting on sustainability, but from a failure to act. When a business chooses to ignore climate and sustainability or fails to adapt, its future is in peril. In this way, the environmental importance of ESG has broken like a wave over all of us. 


The focus on environmental concerns has coincided with, and helped to drive, another fundamental change: in the same way as most would acknowledge that government should be a force for good rather than a necessary evil, so now the expectation is that all organisations act as forces for good and demonstrate how exactly they are doing that. 


In other words, the tectonic plates of cultural expectations have shifted. This is partly generational: data currently available suggests that GenX are much more likely to remain liberal as they age than their forbears, and that they and their successors (Millennials, GenZ, etc.) want business to have a function beyond profit. [2] 


Leaders and boards can find themselves caught in the crossfire of societal and employee expectations, and the need to achieve the fundamental objectives of the organisation, whether that is profit or something else. 


How can they square the circle of succeeding on one without sacrificing the other, while at the same time remaining compliant with the law, regulations, KPIs and the fundamentals of good governance?


The good news is that it is becoming increasingly clear that a well-devised, focussed sustainability strategy and delivery plan can greatly improve profitability and create market advantage compared to competitors. 


In this series of articles, we focus on how businesses can successfully address the key aspects of the ‘S’ in ESG, and how we at Cambridge Management Consulting can help you do this.

How to focus on the S in ESG

The changes to public expectations, and the challenge and opportunity of squaring the circle, extend inevitably to the ‘social’ side of ESG, which has previously received less comprehensive attention than its ‘E’ counterpart. 


Notable examples of the ‘social’ side of ESG in action are the growing emphasis on the importance of diversity hiring and employee wellbeing, as well as on things like social impact. As with the ‘E’ side of ESG and the increase in appointments relating to sustainability, this has led to the creation in many organisations of the role of Head of Diversity, Equity & Inclusion (DE&I), or of ESG more broadly, and to the production of annual DE&I reports. It is a world in which no one wants to be left behind, and in which businesses and other organisations must display their credentials.


It is important to note that things are moving fast, and we have already seen significant progress on the social side of ESG. For example, many organisations have invested heavily in employee wellbeing programmes (including mental health), in mentoring, and in creating supportive platforms for traditionally under-represented groups. Furthermore, many are aware that greater diversity is good for profits. 


This has led to some positive results, with many DE&I reports indicating rising ethnic and gender diversity. For example, organisations are also beginning to think harder about inclusive recruitment and selection processes: does this role really require a university degree; does the test we set disadvantage certain groups of applicants, etc.? 


And, with some notable exceptions, conversations are being had with workforces about the balance between online, hybrid and in-office work. Similarly, in another direction, supply chains are being increasingly scrutinised for things like child labour, exploitation and poor working conditions. 


Organisations are recognising that they need to have a positive impact on society and are taking action to realise that goal.


However, at the same time, there continue to be many significant issues. If we look as an example at the DE&I side of the ‘S’, DE&I officers regularly report feeling peripheral to their organisation and speak of a failure truly to embed DE&I, feeling almost as though the appointment of a DE&I officer tells management that it has discharged its duty. [3] 


At the same time, Scott Keller’s work indicates that only 18% of executives in Fortune 500 companies believe their company gets recruitment of the most talented people right, and a recent survey found that two in five UK businesses do not collect data on the demographic composition of their workforce. [4] In another survey, only just over a half of respondents rated their recruitment and selection processes as ‘effective’ or ‘very effective’ in positively affecting diversity and inclusivity in their company’. [5] 


Moreover, there is limited reporting on things like age and disability/SPLD (often difficult to do within legislative frameworks, but not impossible), and workplace returners (e.g., those who have taken time out of the workplace to fulfil caring/parenting roles). Even in relation to the commonly reported characteristics, data is rarely especially granular, or cross-segmented (e.g., class and gender), which is a further weakness. More female managers and CEOs is progress, but if they come predominantly from one socio-economic background or are mainly white and heterosexual, other cross-cutting aspects of diversity remain unaddressed. 


This is only one aspect of the ‘S’ and demonstrates how quickly things are moving and how much of a challenge organisations face. It may not be long before ‘diversity-washing’ becomes as common a term as ‘greenwashing’ to signal real failures to achieve anything more than superficial change. [6] 


No one wants to have to bring a damaged brand back from the brink, so many boards are beginning to share concerns about their performance in this area, and they are now trying to step up efforts.


How Cambridge MC can help your organisation with DE&I

Leaders and boards trying to grapple with all this would be forgiven for thinking that they are caught in a storm trying to get to an unclear destination with a spinning compass. But this does not need to be the case. At Cambridge Management Consulting we have developed a model that enables both a clear and holistic definition of the ‘S’ in ESG, and an effective and systematic approach to each element. 

As the diagram indicates, at the core is organisational culture:


  • How does the organisation see itself? 
  • What aspects of its culture need overhaul? 
  • What behaviours and attitudes does it embody? 
  • What is prioritised and how is that decided? 
  • How would someone describe the organisation (and brand) from within and outside? 
  • Where does it sit in its context – how does it differ culturally and reputationally from others in the same business area? 
  • Has any change occurred and, if so, what was its impact? 


Redefining organisational culture from the inside out is a difficult, costly and not immediately impactful way for those organisations to make progress on the social side of ESG. What organisations can and must do is embed this into the wider strategy at C-Suite level, before looking at specific ways to implement the strategy.


What the sections in the diagram indicate is that a series of practical, individual and, to some extent compartmentalised, steps that can be taken initially to work towards specific goals. Each can be defined one at a time, keeping a watchful eye on the overall coherence and alignment with strategy. 


It is crucial throughout to pay attention to what the data indicates in terms of strengths and weaknesses in relation to priorities. You cannot improve your diversity recruitment, for example, without understanding where specifically your talent pipeline is blocked and taking targeted action to address that. You can adopt any number of wellbeing schemes to address stress, burnout and retention issues, but if your office culture at a local level is toxic, you are destined to fail. 


You can specify rules for your suppliers to follow, but if there is no formal scrutiny, you cannot be sure that the vision is being realised in practice. That does not mean that you cannot make a very positive and impactful start in these areas—it is key that you do this. In due course, though, it will need to be accompanied by other actions to deliver its maximum benefit. And you need to have a plan for that.


Key Takeaways


  • There are few quick fixes, but taking a stepwise approach is likely to generate real results. 


  • Having a keen sense of the overall picture in relation to the wider organisational strategy is also key to begin to remove the silos that tend to prevail in many businesses. 


  • Such an approach is also much more likely to open the door to greater profitability/value creation, squaring that elusive circle, and allowing you to set the standard and pace for your peers.


  • In the following series of articles, we will discuss each of the major categories and suggest some of the actions that are likely to be effective, based on an ever-growing body of research.

edenseven

If you are struggling with the ‘E’ in ESG, edenseven, Cambridge Management Consulting’s sustainability sister company, works with a range of organisations across differing sectors to support in the rapid decarbonisation of their operations and the services they provide to their customers.


Their proven record of delivery in the space shows that ESG offers a wealth of opportunities for companies to realise.

About the author


Dr Caroline Burt has worked in business, higher education and the public sector, and has many years of experience in recruitment and selection. She is an expert on diversity recruitment. She has transformed admissions at Pembroke College as Director of Admissions and produced the most diverse intake in the College’s history. This has been based on a data-driven approach and a collaborative working model. She also has executive education and experience in mentoring and leadership development and has developed an innovative leadership development programme for undergraduates.


As a non-executive director on two boards, she has been a member of Regulation and ARAC committees and chaired the Remuneration Committee of Qualifications Wales where she made reforms to the CEO succession plan and the Board Chair’s appraisal process. She currently serves on the Independent Welsh Pay Review Body (IWPRB), which is responsible for making recommendations on schoolteachers’ pay and conditions to the Welsh Government. She is an Associate Partner at Cambridge Management Consulting, with expertise on the people, recruitment and diversity side, and on higher education.


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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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