Digital Horizons: How AI, IoT, and 5G are Shaping Africa's Path to Agenda 2063

Elia Tsouros


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The roadmap for digital transformation in Africa is full of challenges. But digital innovation is essential to foster economic equality and fulfil Sustainable Development Goals (SDGs) set by the United Nations.

 

Agenda 2063, a visionary strategic framework for Africa, holds immense significance for the continent's economic and social development. This ambitious plan, set forth by the African Union, aims to propel Africa into a new era of sustainable development and economic prosperity.

 

The realisation of Agenda 2063's aspirations is intricately tied to the role of emerging technologies, including Artificial Intelligence (AI), the Internet of Things (IoT), and 5G networks. These technologies are catalysts for transformation and hold the potential to advance the continent in many sectors, from healthcare and education to agriculture and industry.

 

The key factor in all of this is how. The need is apparent. Just look at the uptake in internet usage: today, those with internet access has increased nearly fifty-fold since the turn of the millennium. With the youngest population in the world—a median age of eighteen—this trend can only be expected to repeat itself across the digital world more widely. In fact, by 2025, ‘Africa’s mobile penetration is expected to reach 50 percent, or 614 million connections, with 65 percent of those connections being smartphones’.

 

To harness this potential fully, it is imperative to understand the regulatory and economic challenges that accompany the adoption of these transformative technologies in Africa. The responsible deployment of AI, IoT, and 5G technologies is not only an opportunity but also a social imperative and it is critical for achieving the goals set forth in Agenda 2063. 


An African Tech Renaissance


In the heart of the African continent, a technological revolution has been unfolding in recent years. African countries have been steadily embracing transformative technologies, with exciting progress in the adoption of AI, IoT, and forthcoming 5G networks. South Africa has emerged as a leader in AI adoption, fostering a thriving ecosystem of AI research and start-ups across various sectors: whether it be shining examples such as LeLapa, or exciting research, the uptake has been remarkable.

 

The IoT landscape in Africa has also seen substantial growth, with South Africa and Kenya leading the way in implementing IoT solutions in areas such as agriculture and smart cities. Regarding the former, IoT devices such as sensors and drones are used for precision farming; these technologies enable farmers to monitor and manage crops more effectively, conserving resources and increasing productivity. In terms of the latter, the phrase ‘smart cities’ refers to the adoption of IoT technologies throughout some African cities in order to improve urban planning, traffic management, and public services. Smart city initiatives aim to enhance the quality of life for residents and make cities more sustainable.

 

Another key area in which IoT has sparked innovation in Africa is within conservation, in which IoT can be used to track animal movements, monitor poaching activities, and collect data for research purposes. One exciting example, a large scale conservation effort, involving the deployment of 250 sensors across 3 million hectares in Kenya, has demonstrated the immense potential of IoT in preserving the environment and its precious species. These IoT solutions facilitate real-time monitoring and data collection to ensure the future of endangered wildlife. Projects such are these are perfect use cases that demonstrate how technology can work in conjunction with the natural world, rather than against it, while also encouraging cross-border collaboration in the process.

 

The proliferation of IoT devices is accelerated by the gradual rollout of 5G, which provides the necessary infrastructure for seamless communication between devices. This results in a more widespread adoption of IoT applications across various sectors, while driving new digital transformation markets and investment in its own right. With improved connectivity, 5G technology promises faster and more reliable internet connectivity, which wields benefits for businesses, education, healthcare, and entertainment by providing better access to information and services, as well as emerging technologies such as augmented reality (AR) and virtual reality (VR). An example of one of one such project is based in Senegal. In collaboration with FREE Senegal, ‘several schools will be connected with Fixed Wireless Access technology, and will also be provided with laptops, learning content, and teacher training to support the development of the ecosystem’. This endeavour goes far beyond the provision of high-speed internet. By equipping these schools with laptops, enriching educational content, and conducting teacher training, this initiative seeks to create a thriving ecosystem that not only empowers students with digital learning tools but also uplifts the entire community.

 

As well as IoT and 5G, these industries are being further benefitted by the development of AI. AI is being used to improve healthcare services throughout Africa, especially in those areas which are more remote, and thus access to medical professionals is potentially limited. AI applications can be used in this context for diagnostic tools, predictive analysis, and telemedicine. Regarding agriculture, AI can support farmers in optimising crop yields, monitor soil conditions, and manage their resources efficiently, subsequently contributing to food security and economic development. And for the African economy, AI-powered fintech solutions are helping to increase financial inclusion by providing access to banking and financial services, particularly within regions with limited access to traditional banking infrastructure.

 

In a broader context, by cultivating a generation of connected and educated young people, these projects all contribute to building a skilled and tech-savvy workforce, which is essential for Africa's competitiveness in the global economy. These benefits extend to sectors beyond education, including healthcare, agriculture, and governance, where digital connectivity can drive up efficiency and innovation.

 

There is no doubt the impact Covid-19 had on these developments, creating dramatic innovation in the adoption of digital infrastructure. It has catalysed digital development across the continent by accelerating innovation, raising awareness about the importance of connectivity and digital services, and pushing governments and businesses to invest in technology infrastructure. These changes will have a lasting impact on the continent's digital landscape, fostering more inclusive and resilient digital ecosystems in the years to come.

 

As our world continues to change in a post-pandemic phase, the lessons learned during those challenging times must not be forgotten—and must be used to address the economic woes that the pandemic wrought. The acceleration of digital development in Africa, born out of necessity, demonstrated the transformative potential of technology in addressing critical issues. The momentum generated by the pandemic must be kept alive to spur further innovation, expand connectivity, and bridge the digital divide in Africa.

 

This new era should be seen as an opportunity to build on the ecosystem created by the crisis; ensuring that digital technologies continue to play a central role in economic growth, healthcare access, education, and sustainable development across the continent. After all, analysis in the report by IFC finds that ‘Africa’s Internet economy has the potential to reach $180 billion by 2025, accounting for 5.2% of the continent’s gross domestic product (GDP)’. The resilience and adaptability displayed by African nations during the pandemic can serve as a beacon of hope for a more digitally empowered and interconnected future.


The Synergy of AI, IoT, and 5G


While all these individual technologies are latently powerful, they all influence each other. By combining all three, we can increase the strengths of each. By integrating these technologies, African nations can create solutions that address critical challenges and improve various aspects of life, maximising their ability to achieve their goals in the process.

 

For example, in healthcare, the combination of AI, IoT, and 5G can enable remote patient monitoring, telemedicine, and data-driven diagnostics, especially in remote or underserved areas. It's a digital transformation that ensures not only sustainable farming but also a flourishing agricultural sector. The same can be said for this combination in so many sectors, varying from healthcare to waste disposal, to diagnostics and beyond. This is something which David Joosten agrees with, arguing on Forbes that ‘AI and IoT are highly dependent on 5G to provide the data capacity to support smart manufacturing and digital supply chains and deliver emerging technologies such as AI, virtual reality and robotics’.

 

Many challenges still remain. Not only are there unresolved obstacles such as data privacy, cyber security, and closing the digital divide, but there is also progress to be made regarding the development of a digital infrastructure throughout Africa. While there has been some significant advancement toward this goal, some regions in Africa are still subject to stark challenges, especially due to the substantial investments needed to implement an effective network infrastructure. Furthermore, there is a need for skilled professionals who are able to develop, implement, and maintain AI, IoT, and 5G technologies. Bridging the skills gap is crucial for the successful adoption of these technologies.


Navigating the Challenges


Despite these promising developments and the exciting opportunities ahead, AI, IoT and 5G integration in Africa face several challenges and barriers, notably the digital divide.

 

The reality of the region needs to be understood by all parties. Africa has one of the widest digital gender gaps in the world, as well as enormous disparity throughout the continent: ‘divides in the availability of high-quality digital services persist in all [African] countries, particularly in remote and poorer subregions’.

 

Addressing the digital divide is critical to ensuring that the benefits are widespread and inclusive. Digital connectivity enhances so many aspects of modern life, but its benefits are limited to the connected—which tends to be those living in cities and wealthier areas. It will take significant investment, as well proactive action by governments, to encourage ISPs to extend their networks to remote areas. Governments will need to find innovative solutions to ensure that the isolated and economically disadvantaged do not get left behind.

 

Finally, it is important to underscore that this challenge is achievable. By committing to affordable, accessible, and high-quality digital infrastructure and implementing educational initiatives that promote digital literacy, we can level the playing field and proceed unanimously towards Agenda 2063.

 

It is now up to governments, NGOs, private and public organisations, ISPs, investors and individuals to work together to seize this opportunity to bridge the digital divide, and ensure that Agenda 2063's vision becomes a reality. Africa's digital future looks bright, and with the right strategy, policy, and investment, it can become a reality that benefits all its citizens.

About Cambridge Management Consulting


Cambridge Management Consulting (Cambridge MC) is an international consulting firm that helps companies of all sizes have a better impact on the world. Founded in Cambridge, UK, initially to help the start-up community, Cambridge MC has grown to over 150 consultants working on projects in 20 countries.


Our capabilities focus on supporting the private and public sector with their people, process and digital technology challenges.


For more information visit www.cambridgemc.com or get in touch below.


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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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