Spaced out: the future of offices and the global effects of remote working

Jon Wilton

Are offices a thing of the past? 

“If you can go into a restaurant in New York City, you can come into the office and we want you in the office”

—James Gorman, CEO of Morgan Stanley


It hasn’t been a great year for the office. Perhaps the bells sounded a while ago. With cube farms and Dilbert in the nineties, the failure of a workspace revolution by WeWork, and then a spiky virus sequel named SARS-CoV-2. Was the office space doomed to fail or does it just need a rethink? 


As workers around the world wait to see if they are called back, Covid-19 fears will limit numbers on-site and there’s even a risk that rats nested and chewed up your office while you were way.


The heralding and doubts over remote working have peaked and troughed over the past 12 months. Jamie Dimon, CEO of JP Morgan, famously declared that there was no ‘creative combustion’ in virtual meetings, and said he wanted his staff back in the office as soon as possible. Likewise, the CEO of Morgan Stanley recently told staff that if they can go to a restaurant in New York they have no excuse to not be in the office. But many will go kicking and screaming. Lots of us really like remote working; statistics differ but around two thirds of workers in the UK would prefer to continue working from home on a hybrid model. Yet reports also suggest that roughly one in three home-workers state their hours have increased and many feel an expectation to be available at all times. 


Research done before the pandemic had already associated productivity increases with remote working. This is put down to less breaks and (surprisingly) less distractions at home. Many companies that switched to WFH during the pandemic echoed these findings. The reality of this productivity spike and its longevity are still fuzzy. Some workers are more productive at home while others work better in the office. Much of the research is contradictory because there are so many factors at play —which might explain why tech companies are thriving without an office while Wall Street banks are clamouring for staff to return.      


There were many reports and headlines about burnout. Zoom fatigue became an acceptable form of exhaustion last year (if home schooling your kids wasn’t exhausting enough). The hypothesis put forward is that video calls omit many of the non-verbal cues we use to show interest, leading to an intense focus on words and eye-contact, which drives up our cognitive load.

Lastly, quality of life has affected by remote working in various ways. Some families ditched London for Cornwall. Many of us got rid of a long and frustrating commute. On average, it has been calculated that UK home-workers save about £40 per week. It’s easier to make yourself something for lunch or go for a run on your break. Your dog is much happier having you around more (cats polled said they remain ambivalent).


Overall, the jury is still out on remote working. As we slowly phase out of pandemic restrictions, we thought it timely and relevant to ask what the future of offices and workspaces might look like post-pandemic. 


Office workers in hasmat suits at their desks - comical image

Six big changes to how we work

01 – The hybrid model


Probably the way most companies will go. This model entails employees coming into the office for 1-2 days a week. This way companies can shrink their office space and potentially redistribute their workforce. Productivity gains hopefully continue while some of the cohesiveness and face-to-face nature of working in the same space are maintained. In some cases, workers will be able to choose how many days they come into the office and change that preference depending on the nature of a particular project.


02 – Data collection


One of the potential inevitabilities of increased remote working will be digital tools to monitor employees’ worktime, such as virtual clocking in and out, tracking computer usage and monitoring internal chat and emails. Some of the additional tracking isn’t Orwellian on the face of it, as companies are currently trying to understand employee engagement and wellbeing through these tools. However, such holistic understanding probably serves the same end goal of improving productivity and might be viewed negatively if employees feel their spheres of public and private life are converging to their own detriment.


03 – Wellbeing and the employee experience


Pressures and burnout during the pandemic, as well as the encroachments of family life and home-schooling, meant that many managers were directly involved in measures to help the wellbeing of workers. This might have been extremely difficult for some and perhaps they considered it outside their remit, but there are signs this kind of role will continue and that leadership itself will grow to encompass and include greater degrees of mentorship. It is likely that job flexibility will become the norm, providing more options to adapt work to family life and other commitments. 


04 – The knock-on effects of remote working


Writing from the perspective of a digital transformation consultancy, it is easy to forget that many jobs can’t be relocated to home. Approximately a quarter of workers are in transportation, food, cleaning and maintenance. Many of these jobs will be affected by the closure of offices and the thinning out of commercial areas. Everything from coffee shops to train companies will potentially be affected by falling revenue. Remote work will benefit a minority but it risks magnifying inequalities at a social level. If this trend is inevitable, which it probably is, we need to rethink how our high streets function and also our economy as a whole. There might be some hidden positives. As our workforce becomes more distributed, there could be a larger network of hubs across the country, rather than just the powerhouse financial centres. Jobs and wealth might spread out a bit more and feed into local economies.


05 – The creativity dilemma 


It is often reported that creativity suffers virtually, and face-to-face collaboration is required to really get those creative juices pumping. I have not found any studies to back up this claim, but it is repeated anecdotally by many creative agencies and artists around the world. Many creatives have said the pandemic imposed a linear, corporate culture on their work habits, stifling their creativity. They faced a diary full of Zoom meetings which gave them little time to think and grow an idea. Many creative teams have said they found it much harder to collaborate virtually on projects. Their emphasis is often on the fragile nature of creativity, how it can’t be reduced to a process or repeated in the same way. Sometimes, as with so many creations, a perfect alignment of time and place is required. Was Abbey Road the sixth Beatle? 


It might be too early to answer this question, but if you are a creative business (and what business problem doesn’t require creativity) then this issue isn’t going away soon. 


06 – Pay grades


Another potential thorn for remote working is the potential for pay grades to be adjusted to reflect the cheaper cost of working at home. CEO of Morgan Stanley, James Gorman, said, in typically direct fashion, that if staff expected New York wages they better work in New York. Generally speaking, remote working is attached to well-paid jobs (often in tech) so this might not appear to be an immediate concern for job markets. However, globalisation has long spurred a general shift toward cheap remote labour and digital tools make it easier for companies of all sizes to benefit from freelancers working in poor countries. This raises questions about wage standards and ethics. 

Conclusion

A cat paw on a keyboard

The pandemic shunted us forward a few years and sped up a more gradual trend towards remote working. Zoom fatigue and a diary full of video calls is a reality that are we are still adjusting to. It is clear there are both gains and losses in this new era and the dust is yet to settle. Business leaders must continue to show empathy. They must coach their teams and discover better ways of working. Companies need to collect data and encourage feedback. Businesses must be agile. They must be able to pivot quickly and adopt new working patterns. Digital transformation is key, and the right tools are essential. Managers need mentoring and extra training to help them adapt to leadership with remote teams. 


At Cambridge Management Consulting we follow a hybrid model, but our workforce is spread out across 14 countries. We have performed successfully as a remote team for many years now. We’ve learnt many lessons along the way, but we are always learning, always refining our procedures and tools. 

About Us

Cambridge Management Consulting is a specialist consultancy drawing on an extensive network of global talent. We are a growth catalyst, assembling a team of experts to focus on the specific challenges of your market.


With an emphasis on digital transformation, we can help any business attempting to scale by combining capabilities such as marketing acceleration, digital innovation, talent acquisition and procurement.

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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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