Accelerating Local Government with Agentic AI

Rob Price


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The Urgency for Efficiency in Local Government


The financial challenges facing Local Governments in the UK over the past few years have been impossible to ignore. In 2023 alone, Birmingham City, Nottingham City, and Woking Borough councils were all reported ‘bankrupt’. Clearly, the realities of growing and aging populations, increasing poverty, and strained funding are putting greater pressures than previously realised. Specifically, this is challenging social care, and housing and accommodation, which are both suffering from an increased need in funding which is not available.


At the recent ‘Future of Britain: Governing in the Age of AI’ conference (July 2024), organised by the Tony Blair Institute for Global Change, speakers suggested that the only opportunity presenting itself currently is the recent steps forward in Artificial Intelligence (AI), specifically Generative AI and Large Language Models. 


Needless to say, it will require more than poems on ChatGPT or images on Midjourney to drive improvements in local services provisions. However, in the last year we have seen an AI development that shows promise, albeit with translation into reliable operations with secure environments. This new development is being referred to as Agentic AI, or multi-AI agent teams. But what does this new technology offer for Local Governments?


What is Agentic AI?


Agentic AI represents a shift from traditional centralised AI models to a distributed system comprising multiple specialised Agents working collaboratively. This approach allows for the division and specialisation of tasks among trained AI agents, which can efficiently solve complex problems by leveraging the strengths of each individual Agent within their specialised domain.


Agentic AI offers several distinct advantages over a traditional Large Language Models (LLMs), which are particularly relevant for environments where accuracy, transparency and security are paramount.

Imagine you are a council leader, with the power to bring the best people, with the best knowledge and information at hand, into a room to solve every problem statement that you are currently facing. Now, imagine that you can quickly create AI Agents with that same knowledge and information at hand, and the ability to effectively collaborate to solve those problems.


It probably sounds farfetched, and yet there are already examples of this technology working effectively in secure organisations within the UK. In this article, we explore the implications of Agentic AI for Local Government spending, procurement, delivery, and HR functions.


Budgeting & Spend Management: Enhancing Precision & Reducing Costs


What have you got planned over the next few years? 

What do you have to do vs what do you want to do?

What variables play into those decisions? 


These questions may cover capital projects, provision of housing, technology products, or services reform—such as social care, operations, pensions, and more.


Imagine this use case: you are able to do a budgetary cost estimate of everything in minutes, with multiple scenarios and risk analysis for each to a degree of confidence in the execution of the project or service within the price given, as well as proactive recommended interventions to de-risk. 


This can all be done with Agentic AI, which has already delivered time savings in central government by a factor in excess of 100x, with massive cost decreases too. This technology can provide completely calculated cost estimated and full referenceability in less than half an hour.


This doesn’t work entirely by magic. It can be preconfigured to apply your estimate methodologies and local policies and understand what has been done before, but it learns over time, and will continue to verify from other sources, including talking to your employees. However, you would be amazed at the results observed in only weeks.


Also, ask yourself this question: How do you find the most accurate budget estimate? Is it better to have a team follow a process to get one answer over time, or to apply a distribution curve to 100-1000 automatically generated estimates for multiple scenarios to determine what is statistically most likely? Agentic AI will give you a customisable set of accurate estimates, with as many parameters as you require, in a fraction of the time and cost. 


We help you build an Agentic AI team configured to support your project managers, service managers, and operational leaders in everything that they do. This can include accelerating onboarding, gaining excess to deep expertise, making informed recommendations, and working in conjunction with your teams. 


People have long worried about AI replacing humans, but what if it could be harnessed effectively to help superpower your teams?


Agentic AI is a paradigm shift in budget planning and prioritisation, as well as reducing the risks of delay and cost slippage through provision of reliable budgetary estimates for everything Local Governments want to execute.


Procurement: Accelerating Processes and Reducing Acquisition Costs


Agentic AI can also be harnessed to improve the entire set of processes in the procurement cycle, with a focus on reducing risk and reducing elapsed time to next-step outcomes. There are already established Generative AI solutions that write bid responses, and soon they are likely to generate requirements documents such as ITTs, RFPs, and even contracts. There are AI solutions that enable global search for any widget in any geography, producing Gartner-style sophisticated reports, in hours, on recommended options—enabling procurement teams to source suppliers far more quickly. In addition, Agentic AI will provide effective decision-making solutions that assist with the review of responses to determine risks, costs, and gaps.


There are now two approaches to accelerating the procurement process. The first is traditional, mapping out the end-to-end process, determining the areas of delay or pain, and focussing on improving or automating those elements. The second is more novel, and perhaps completely new with Agentic AI: if we can identify the capabilities, tools, and knowledge that are needed in that end-to-end process, then your team of AI Agents can be trained to determine approaches to accelerate these outcomes in your organisation. In truth, there is a strong argument to try both where possible. 


Delivery: Streamlining PMO Functions & Managing Risks


Estimating costs faster is one essential function, but the challenge is also to ensure that these services, projects, or operational needs, are still being delivered for the cost envisaged. 


Agentic AI can also be applied to act as an enhanced Project Management Office (PMO) function by taking progress input from a variety of sources, interpreting against all that is known, and making proactive intervention recommendations to help keep the team on track.


Imagine this use case: an Agent Team that has specific agents focused on aggregating data, perhaps supplied from existing Excel reports or through interfaces to the financial systems; some agents are specialised at determining and evaluating risks, while others are trained to have a deep understanding of the contract terms, operating model, resourcing, or anything that can be provided as a set of data or interface. There are, of course, numerous regulations (GDPR as a minimum), policies, and ethical AI frameworks that must be adhered to, but we have already seen robust solutions designed for highly secure environments. That being said, do not compromise here: it is critical that organisational data is protected from a security perspective, requiring a full transparent, auditable solution.


Agentic AI in HR & Finance: Driving Productivity Improvement


In a wider context, Agentic AI can impact the entire Operating Model of a local authority or council, improving productivity and enabling existing teams to achieve more, and faster, through the assistance of AI Team Members.


There are numerous use cases for these applications across HR, campaign recruitment, performance appraisals, apprenticeships, and more. This technology is also beginning to ask questions of regulations; for example, for many years we have pushed job descriptions through tools that ensure gender neutrality, yet if we can easily create and promote a multiplicity of job descriptions and adverts that are targeted on broadly diverse groups, then there may be a more effective engagement across these demographics.


We are also seeing Agentic AI applied to finance functions, bringing a meld of machine learning tools with Generative AI to help automate process flows such as invoice processing, forecasting, accounting, financial reporting, and auditing.


Summary: Harnessing Agentic AI for Local Government Transformation


If your perspective on Generative AI is driven by playing with ChatGPT or Dall-E, and you have dismissed it as being irrelevant to your work in Local Government, then my plea is to look further. If you have worried about hallucination, or the security/privacy issues of applying it to the public sector, or the impact it may have on jobs, then look at the emergence of Agentic AI as helping to resolve some of these genuine concerns.


Regarding the impact on jobs, though it is undoubtedly true that the employment landscape is constantly evolving, there are some wider, incontrovertible megatrends that are making it increasingly difficult to recruit the necessary people to deliver the required services—for example, aging populations, or shrinking populations (in some geographies). As a strong voice in the world’s CDR (Digital Responsibility) movement, I have been talking about the necessity to think of these consequential impacts for nearly a decade. Yet, I have seen the reaction to public sector employees finding themselves better able to perform the actions required for their departments or citizens without the reliance on consultants in the supply chain.


Think of Agentic AI as enabling you to do far more with your existing teams; to onboard new employees faster; and to condense elapsed times to respond to requests or deliver services. Think of it as a way of making your employees’ lives easier, by providing them with the information to help make their decisions, or complete activities faster. It is true that there are risks and dangers regarding AI, but these can be understood and mitigated in the context of specific use cases. Let its innovative potential drive your engagement with it, over fear of the unknown.


In an environment in which taxation is unlikely to significantly increase to provide greater funding and the costs of delivering public services continues to increase, we must find some transformative ways to keep going. Agentic AI presents this opportunity, we just need to understand how to harness it most effectively in harmony with human teams who need that help. In short, Agentic AI can be instrumental in future-proofing your operations and delivering better public services for less cost.


Agentic AI from Futuria Combined with Cambridge MC’s Public Sector Expertise


Cambridge Management Consulting and Futuria have formed a strategic partnership to offer Agentic AI solutions tailored to the needs of UK local authorities. This collaboration brings together Cambridge MC’s extensive expertise in public sector transformation and Futuria’s cutting-edge AI technology, creating a powerful proposition for councils facing budgetary constraints and operational challenges.


Craig Cheney, Managing Partner for the Public Sector at Cambridge Management Consulting, highlights the potential impact of this collaboration: "Our partnership with Futuria presents a transformative opportunity for local authorities across the UK. By combining our deep expertise in public sector transformation with Futuria's advanced Agentic AI technology, we are empowering councils to navigate their financial challenges while improving service delivery. This is not just about cost-cutting; it's about enabling local governments to do more with less—delivering better outcomes for their communities in a sustainable way."


Cambridge MC has a long-standing commitment to supporting the public sector through economic challenges. With decades of experience working with councils and educational institutions, Cambridge MC has helped organisations save over £2 billion through cost reduction initiatives and business transformation. This expertise is now amplified by the integration of Futuria’s Agentic AI solutions, offering local governments a powerful toolset to future-proof their operations and superpower their leadership and teams.


About Rob Price


Rob is a co-founder of Futuria, an Agentic AI company enhancing organisational productivity with multi-agent teams. He hosts the Futurise podcast, interviewing CEOs and AI business founders about the start-up and scale-up world of AI and Generative AI in the UK, Europe and US. Rob has held various senior leadership roles, from Sales Director to CDO, COO, and Deputy CEO at Worldline UK&CEE, demonstrating strategic thinking, problem-solving, and effective execution.


Link to Podcast on Spotify


Rob co-founded the Corporate Digital Responsibility movement and helped launch the International CDR Manifesto in October 2021. He manages corporatedigitalresponsibility.net and hosts the 'A New Digital Responsibility' podcast, now in its fifth season.


A frequent speaker at European events, he is also a trustee of Inspire+, a charity promoting healthy lives for primary school children.


About Futuria


At Futuria, we’re passionate about reshaping the future of enterprise operations with our advanced AI Agent Teams and pioneering Agentic AI solutions.


Our mission is to empower businesses by integrating modular, explainable, and responsible AI that fits seamlessly into complex environments.


By enhancing human expertise, we help organisations gain full control, transparency, and scalability—delivering impactful solutions that drive efficiency, reduce costs, improve decision-making, foster innovation, and empower users.


Fine out more at: www.futuria.ai


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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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