ESG | Diversifying Hiring for Professionals

Dr Caroline Burt


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Significant Issues in DE&I

A British Exploring Society expedition in Iceland

However, at the same time, there continue to be many significant issues. As mentioned in our first article, DE&I officers regularly report feeling peripheral to their organisation and speak of a failure to embed DE&I, and there is little faith among executives that their company gets recruitment of the most talented people right. Just as concerning is the fact that a recent survey found that two in five UK businesses do not collect data on the demographic composition of their workforce [3]. 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’ [4]. Moreover, there is limited reporting on other things like age and disability/SPLD, and workplace returners/career changers. 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. 


So, undeniably one of the most important questions facing executives is how organisations can successfully turn the best intentions into reality in diversity recruitment and ensure performance enhancement. Below, we argue that now is the time to rethink hiring processes more systematically in response to the availability of much more data and increasingly sophisticated digital tools and AI, as well as to the rapidly changing economy and societal values of the 21st century, and new ways of working accelerated by the pandemic.


We set these out in two categories: 


  1. Advertising and Publicity 

  2. Application Process 

Advertising & Publicity

The process of hiring begins at the point an organisation decides it has a need for a role, followed by how it defines it, and how it goes about advertising it. These are major elements in securing a variety of applicant backgrounds. It has long been known that the bases on which women and men apply for roles differ, with women tending to apply only if they fulfil all or almost all of the requirements. At the same time, the words used in an advertisement can be gendered, racialised, age-biased or seem to exclude people with disabilities; even if this is inadvertent, it can be very damaging. If you don’t get the field, you can’t make your best appointment. 


Some obvious points to consider in the light of this: 


Be clear, concise and open 


  • Consider the picture you are presenting of your organisation; this is a sales pitch for the organisation too 


  • Explain what you can offer, and ensure to list inclusive benefits 


  • Stating salary has become a matter of debate. You may want to avoid a talent price war with competitors, but not disclosing salary (range) is likely to deter some candidates 


  • Focus only on necessary skills or experience; place weight (more) heavily on transferable skills 


  • Don’t define requirements too narrowly 


  • Signal explicitly that you are keen to receive applications from people who have the skills you are looking for, whatever their experience 


  • Avoid unnecessary detail 


  • Ensure the message is inclusive for under-represented groups: e.g. look at the language you are using and get advice 


  • Be explicit about your diversity and inclusion policies. 

 

Explore new avenues of advertising 


  • Consult with organisations representing under-represented groups and seek their advice about how to appeal to a wider range of applicants. 


  • If you are recruiting a substantial intake to the same roles each year (e.g. graduate entry jobs), analyse your marketing and recruitment strategies, including types and location of recruitment event, participation 


  • Use data analytics to examine how the careers pages of your website could work better, and which social media your applicants are using 


  • Don’t assume everyone, or even most applicants, will pick up on your vacancy by visiting your website 


  • Consider whether specialist programmes for targeted groups could be a good source of applications [5]


Look at both internal promotions and the full range of possible external hires 


  • It is important not to overlook possible internal hires 


  • Equally, competition for a role is positive, and not advertising, or relying on referrals, risks perpetuating current hiring patterns and, in worst case scenarios, nepotism. 


Consider how easy you are making it for candidates to apply for the role 


  • Many times, to the quiet fury of candidates, they are required to upload their resume and then answer the same questions long-hand all over again, for example. 


  • If you are going to buy in IT solutions in this area, take time to look for and eradicate duplications 


  • Are you able to offer flexible working? The options you are able to offer will affect your field just as language does. 


Aim to send decisions to all your candidates, with a brief explanation of the general areas in which successful applicants were strong 


  • Candidates cannot improve themselves if they have no sense of what they might improve on 


  • And your brand will benefit from being one that takes the trouble at least to send someone a rejection rather than to leave them to make a judgement about how long after an application no news turns into bad news. 

Your Application Process

Despite so many changes to the way we work, applying for a professional job has largely retained its traditional format. Submission of a resume and covering letter, sometimes a separate application form instead/as well is followed by some form of initial screening, often automated, and often focused on particular words and experiences. Sometimes there is a test too. Then, if people get over these hurdles, interviews are used to make final selections. The interview often remains the most important element, and many organisations give candidates multiple interviews over several days. 


It has long been recognised that the problem with any selection process is the vulnerability of each of its elements to coaching (often at high financial cost), socio-economic advantage, etc. 


To try and mitigate some of the effects of socio-economic and other advantage/bias, growing numbers of organisations are using platforms to provide them about contextual information about the candidates in front of them. This has been a welcome development, but while it is often helpful to outsource collating and analysing this information, it does necessitate some loss of control over data and how it is used. 


Where applicant tests are concerned, many companies have also worked to find formats that are less susceptible to coaching. Unfortunately, however, this is virtually impossible to do. There are long-established problems with ‘intelligence’ or ‘IQ’ testing: 


  • It is something that can be coached 


  • And, despite efforts by test designers, the tests can be subject to cultural bias. Perhaps the most important point for diversity recruitment is the extent to which IQ tests can keep under-represented groups out of education and employment [6]. This is because, while they are often designed with the best intentions at heart, they tend to serve instead to perpetuate trends that already exist. 


Where companies have decided to adopt a different style of test, or perhaps even a bespoke test, keeping a test secret does not level the playing field, as, except in the very first iteration, there are always people who have sat it, can re-create it or its format, and can go on to sell coaching online to those who can afford it. 


As with IQ tests, companies may therefore find significant disparities when performance is segmented to identify under-represented groups: many may not have begun to analyse this because very little data that would identify such groups is usually collected about candidates at point of application. 


Once a candidate gets to interview, it is their chance to answer relevant questions in person and for the interviewer/s to get a sense of them as a potential colleague (as well as for the interviewee to appraise the organisation and their would-be colleagues themselves). In a recent survey, 65% of employers regarded interviews as the most effective means of identifying the right person for a job [7]. 


Evidentially, this faith in interviews as a selection tool is not easy to substantiate though. In fact, despite how interviews feel to interviewers as a selection tool (there was a real person in front of me saying real things), there are many long-documented issues [8].


It would be naïve to imagine that unfairness can ever be entirely removed from any selection process, but you can attenuate its effects. The major overall message is to use all the information available to you, from the application form to the interview, holistically. Do not view each of these as hurdles on the way to interview and then place all the weight of the final decision on interview outcome. 


Some obvious ways to improve processes: 

Stage in Process Questions to Ask Actions
Application What qualifications do candidates need to do this job, and can ability be demonstrated in more than one way? Open opportunities to those with different background experience: non-graduates, for example
What do you ask applicants to do? What information do you need at this stage in the process? Decide what you really need. Take care with blind resumes – these can serve to perpetuate inequities by denying context [9]
Do your processes involve applicants providing the same information twice? Ensure that you avoid this
Could existing format be denying you access to the strongest candidates? Try paring down to essential elements only
Consider different ways of eliciting information that are clear and explicit: e.g. direct questions instead of covering letter
Contextual Information Screening What platforms are available? Make systematic comparisons
What information do they collect and provide? Is this the best information? Do some research on this; it could be crucial. Some data are more robust than others
How does their platform function? What algorithim do they use? Ensure you understand and are comfortable with the way in which the platform is processing information
Test What is the purpose of the test? Decide whether content matches purpose
How do successful applicants perform if hired? Gather data and analyse
How does test performance compare with other elements of the application? Gather data and cross-segment analysis
Ask whether this is the best form of screening? If yes, ensure you understand cross-segmentation to prevent inequities; make samples available to candidates
If no, consider alternatives
Interviews Are interviewers trained in unconscious bias? Introduce training if not
What questions are asked in interviews and how are they being asked? Ensure clarity about the purpose of questions
Do you have common structures for interviews? If not, introduce them
Do you understand the difference between character assessment and skills testing at interview? If yes, ask how you weight those
If no, you should research why this is important
Decisions How are these taken? Assess and systematise
Do you have processes for considering elements of applications together? Introduce and formalise. Remember: do not treat each element of the process as a distinct hurdle. Be holistic.

Key Takeaway

All selection processes are vulnerable to being navigated most effectively by those with the cultural (and sometimes financial) capital to do so. The beginnings of the answer to how organisations can cut through the forest of cultural/financial capital to access talent lie in more nuanced, carefully researched and considered recruitment processes, not quick fixes.


The positive point is that there are now many more ways of easily gathering contextual data and analysing it, and much more research into the dynamics of under-representation. This makes it possible to envisage imminent strides forward in diversity hiring in organisations that are willing to review their processes and think imaginatively about how to assess talent and harness the potential of data and AI in the process.


In the long term, it is likely to become clear that eschewing some of the conventional wisdom about what a strong candidate should look like yields better results from the perspective of coupling diversity with performance. Organisations that are ahead of the curve in recognising this will therefore open the door to greater profitability and value creation and set the standard for their peers. More widely, this will bring dividends for society and for individuals, improving the social impact of the organisation too. 

References

[1] https://www.marketwatch.com/story/the-numbers-dont-lie-diverse-workforces-make-companies-more-money-2020-07-30 


[2] https://www.mckinsey.com/business-functions/people-and-organizational-performance/our-insights/delivering-through-diversity 


[3] https://www.mckinsey.com/business-functions/people-and-organizational-performance/our-insights/attracting-and-retaining-the-right-talent; https://www.recruiter.co.uk/news/2021/06/staffing-firms-fail-report-staff-diversity-finds-joint-rec-and-apsco-report 


[4] https://uk.news.yahoo.com/uk-jobs-recruitment-diversity-inclusion-targets-missed-153007321.html 


[5] Some interesting thoughts and ideas can be found at: https://www.forbes.com/sites/ashleystahl/2020/07/21/10-steps-businesses-can-take-to-improve-diversity-and-inclusion-in-the-workforce/?sh=2ad44e25343e


[6] https://www.discovermagazine.com/mind/do-iq-tests-actually-measure-intelligence; https://ectutoring.com/problem-with-iq-tests; https://classroom.synonym.com/disadvantages-intelligence-testing-6381904.html; https://www.independent.co.uk/news/science/iq-tests-are-fundamentally-flawed-and-using-them-alone-to-measure-intelligence-is-a-fallacy-study-finds-8425911.html


[7] https://www.xperthr.co.uk/editors-choice/face-to-face-interviews-remain-most-popular-selection-tool/106738/


[8] http://www.nationalforum.com/Electronic%20Journal%20Volumes/Lunenburg%2C%20Fred%20C.%20The%20Interview%20as%20a%20Selection%20Device%20IJSAID%20V12%20N1%202010.pdf


[9] https://www.fastcompany.com/90369924/the-effectiveness-of-blind-recruitment


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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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