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Challenge

An NHS department recognised a substantial opportunity to integrate Artificial Intelligence (AI) into their services, aiming to improve patient outcomes and streamline administrative tasks. However, they faced challenges in developing AI literacy among their team members and identifying practical applications for AI technology. This foundational work was essential for building a compelling business case for transforming the a key function with AI at its core.

Solution

To address these challenges, Hudson & Hayes partnered with an NHS departmenr to enhance the team's understanding of AI and its applications. We engaged with 21 members of the Digital Transformation team and Integrated Care System (ICS) representatives, including clinicians, to deliver targeted training sessions focused on:

As part of the training sessions, we included multiple demonstrations and case studies on practical applications of AI in healthcare, covering areas such as disease prediction, medical large language models, tele dermatology and skin analytics, and robotic process automation (RPA). This hands-on approach helped the team to understand the real-world impact of AI technologies on improving patient care and operational efficiency.

In addition, we supported the development of an opportunity pipeline and a curated list of use cases that leverage various AI and automation capabilities, specifically designed to address the operational challenges faced by the organisation.

Key Outcomes

Through our collaboration, the NHS achieved significant milestones:

Conclusion

The partnership between Hudson & Hayes and the NHS not only fostered AI literacy but also equipped the organisation with the tools necessary for successful AI integration. This initiative positions the NHS to enhance patient outcomes and improve operational efficiency, laying the groundwork for a data-driven future in healthcare.

Challenge: Reducing Admin to Improve Customer Experience in Employability Services

An employability business sought to enhance customer experience and job outcomes by freeing up staff from repetitive administrative tasks. They wanted to improve efficiency and focus on high-value activities such as participant engagement and personalised support. To achieve this, the company aimed to leverage Robotic Process Automation (RPA) and Generative AI technologies to streamline their processes.

Solution: Implementing RPA and Generative AI with OpenAI Azure LLMs

We conducted a comprehensive four-week review of the client’s processes, technology, and operational workflow. This review included interviews, site visits, and technology assessments to identify areas for improvement. Over 20 automation and AI opportunities were identified, focusing on utilising Robotic Process Automation (RPA) and Generative AI.

We ran a series of design sprints to quickly prototype and test AI solutions, resulting in a custom-built Proof of Concept (POC). The POC introduced a Digital Assistant to automate core business functions, such as participant communications and administrative paperwork. This not only streamlined daily operations but also empowered staff to dedicate more time to strategic tasks that would improve customer experience and job outcomes.

Results: Identified Benefits of AI and RPA Integration in Employability Services

The POC delivered several identified benefits, including:

Introduction: In this artificial intelligence in procurement case study, we highlight how a global organisation transformed its procurement processes, saving over 10,000 hours annually. By implementing AI-powered solutions, Robotic Process Automation (RPA), and advanced analytics, the organisation automated manual tasks, gained valuable insights, and significantly improved procurement efficiency. We also focused on educating the team on the use of Machine Learning and Predictive Analytics in procurement, which enhanced decision-making and forecasting accuracy.

Challenges: The organisation encountered several challenges that hampered procurement efficiency, such as manual data entry, outdated forecasting methods, and limited visibility into supplier performance. These issues caused delays and prevented the procurement team from concentrating on more strategic initiatives.

Approach: We addressed these challenges by implementing AI and automation technologies while providing tailored training on modern procurement strategies like Machine Learning and Predictive Analytics.

  1. Automation of Pricing Updates via RPA: We used Robotic Process Automation (RPA) to automate the updating of pricing data across procurement systems. This not only reduced human error but also saved thousands of hours that were previously spent on manual updates.
  2. AI-Powered Digital Assistant: The introduction of an AI-powered digital assistant helped manage inquiries, streamline procurement workflows, and deliver real-time insights. This tool integrated seamlessly with the procurement platforms, speeding up response times and improving decision-making.
  3. Procurement 360 Dashboard: We developed a Procurement 360 Dashboard powered by AI-driven analytics to offer a comprehensive view of procurement activities. It provided real-time insights into spend analysis, supplier performance, and contract management, enabling data-driven decisions.
  4. Automation of Forecasting and Reporting: By incorporating Predictive Analytics, we automated procurement forecasting and reporting. This enabled more accurate demand predictions and reduced the time spent on manual reporting.
  5. SAP Ariba Automation: During the project, we identified automation opportunities within the organisation's existing SAP Ariba system, further optimising procurement processes.
  6. Education on Machine Learning and Predictive Analytics in Procurement: To ensure long-term success, we delivered training sessions on Machine Learning and Predictive Analytics. These sessions helped the procurement team understand how AI could be applied to tasks like supplier performance analysis, demand forecasting, and risk management, empowering them to use these tools effectively.

Results: Our initiatives led to a total time savings of 10,000 hours per year. Key results included:

Conclusion: This artificial intelligence in procurement case study showcases the transformative power of AI and automation in procurement. By automating key processes, educating teams on advanced procurement technologies, and optimising existing systems like SAP Ariba, we achieved over 10,000 hours in time savings, allowing the procurement team to focus on higher-value strategic initiatives.

Interested in our AI in Procurement White Paper?

Fill out the form, and we’ll send you a copy! It’s a comprehensive guide to implementing AI in procurement, complete with practical use cases, expert insights, and strategies to help you streamline processes and drive efficiency in your organisation.

Introduction

Bradford University faced a significant increase in demand for a critical academic process, revealing the need for enhanced efficiency and productivity. This case study outlines how Hudson & Hayes partnered with the university to implement Lean principles and Intelligent Automation, ultimately improving the student and teaching experience.

The Problem

Bradford University experienced a substantial rise in demand for one of its key processes, necessitating a more efficient approach. There was a strong desire to boost awareness of Lean principles and Intelligent Automation across the organisation. Hudson & Hayes was engaged to work closely with the university to redesign the process, applying Lean techniques and exploring automation solutions. The primary objectives were to increase productivity, ensure consistency, and enhance both student and teaching experiences.

The Solution

Hudson & Hayes utilised the Elevate Process and Customer Journey methodology to take a structured approach to process improvement. Our team collaborated with the university's internal staff to:

These efforts resulted in an identified 40% increase in productivity. Additionally, we developed a proof of concept (POC) for a workflow, demonstrating how the process could be digitised from end to end, moving away from the existing manual system. We also provided multiple educational sessions to build internal capabilities, focusing on Intelligent Automation in Higher Education and Lean principles.

The Outcome

The initiative delivered a future-state process that would reduce lead times and improved productivity by up to 40%. We presented a first iteration and a strategic plan to ensure ongoing process evolution, introducing the right solutions at the appropriate times.

The Feedback

"The University of Bradford recently had the pleasure of working with Hudson & Hayes to review our processes relating to how we manage academic misconduct allegations and investigations. From the outset, H&H colleagues worked in a proactive and collaborative way, helping us not only make our chosen process more efficient, streamlined, and fit for the future but also educating us about some of the fundamentals of lean process design and automation, which will be beneficial for multiple areas of the University. This opportunity for development was extended beyond the immediate project team to colleagues across our organisation, demonstrating Hudson and Hayes’ commitment to supporting partners holistically and not gatekeeping expertise within a single project that could benefit a wider audience. Throughout the project, the team at H&H took time to fully understand our context through engagement with a range of stakeholders and proposed solutions which were bespoke and realistic to this context, taking into consideration both our specific needs as well as any project parameters. On a personal level, the H&H team has been really enjoyable to work with. They have been very approachable and supportive, as well as accommodating and patient as together we have navigated the murky world of higher education administrative processes! I highly recommend them to other Universities or other organisations wishing to improve their ways of working through process redesign and automation."

Conclusion

Hudson & Hayes successfully supported Bradford University in enhancing process efficiency through Lean principles and Intelligent Automation. This collaboration not only improved productivity and reduced lead times but also equipped the university with essential knowledge for ongoing process enhancement.

Client Background

A large manufacturing client with a substantial procurement department engaged Hudson&Hayes to streamline and automate their pricing update process.

The Challenge

Pricing updates were a highly manual and repetitive process, received in multiple formats. This consumed a significant amount of time for the Direct procurement team. Although the process was performed globally, there were different instances of SAP, and variations in the process across regions and teams.

Hudson&Hayes Approach

Hudson&Hayes collaborated with the business to design a future-state process that streamlined the pricing updates using Robotic Process Automation (RPA) and standardised input from suppliers. After designing the process, we developed the new approach using Automation Anywhere and supported the development, testing, UAT, deployment, and hypercare phases.

We took the lead on change management, ensuring key stakeholders were engaged throughout the project. Our Harmonise approach to Intelligent Automation delivery enabled us to design and automate the process rapidly.

Starting with North America, we launched subsequent projects to globalise the automation and roll it out in LATAM and EAME.

The Outcome

The new process saves 5,000 hours of time annually for the Direct procurement team, significantly improving efficiency and reducing manual workload.

Client Background

Hudson&Hayes partnered with a large media client undergoing a merger to design and deliver a comprehensive operating model for the newly formed agency.

The Challenge

Hudson&Hayes provided expertise in Operating Model Design best practices and collaborated with the client to design a new agency operating model with agency leadership. We helped the client define the capability model and identify new, existing, and overlapping capabilities.

Hudson&Hayes Approach

Following the high-level design, we supported the client in understanding implementation considerations for local markets (adapting the model to their local situations) and global teams (creating new global discipline groups and re-framing global enabling functions) as well as alignment with the group/parent company. The challenge was to facilitate the development of the new operating model while refining it to align with the agency's vision and value proposition.

Outcomes

  1. Signed off Operating Model Design document
  2. Buy-in from agency leadership
  3. Successful transition and launch of the new model, leading to a seamless merger of the two companies

Client Information

Our consultants worked with a large and leading commercial real estate business to digitally transform their EMEA valuations business.

The Challenge

The current-state valuation process was highly manual, with different systems and tools used across different countries. Data was not collected in a consistent way and was hidden in documents such as Word and Excel. This limited the client's ability to reuse the data and use it to drive analytics and decision-making at an EMEA level.

Our Approach

We worked with the EMEA Transformation team to develop a process transformation and portfolio delivery playbook. This playbook created consistency in the approach and best practices that could be shared across other transformation initiatives. We then worked hand in hand with the valuations leadership team through four steps: Define, Discover, Design, Transformation Planning and Business Case. We co-created the future-state design and introduced opportunities to digitally transform the valuations process and business through multiple improvement levers such as standardization, simplification, RPA, intelligent automation, and new technology. Opportunities were identified for every step in the valuations process (Lead-Win, Job Set-Up, Client Valuation Intake, Comparable, Inspection, Valuation Modelling, Valuation Reporting, Billing). Opportunities included: Improved CRM integration, document automation, centralised workflow management and platform, valuation data preparation via RPA and APIs, automated valuation modeling, and standard reporting.

We took into account the current maturity of the service to sequence opportunities across four phases:

  1. Phase 1: Increase Change Visibility and Sharing of Best Practice across countries
  2. Phase 2: Workflow Management and Tactical Improvements
  3. Phase 3: Incremental Technology Improvements
  4. Phase 4: Advanced Features and Intelligent Automation

The phased approach ensured the basics and foundations were in place before introducing more complex innovations.

We conducted a vendor selection to assess suitable vendors for a new valuation platform and workflow management.

We then documented a business case with the investment required to deliver the future-state process and transformation roadmap over three years.

The Outcome

  1. Sign-off of the Business Case and Transformation Plan from EMEA Leadership.
  2. Selection of a vendor to deliver the centralised V&A platform.
  3. Identified 10% productivity benefits across the valuations business.

Client Background

The client is a leading blue-chip manufacturing firm with a sizeable procurement department. They recognised that they were falling behind in digital transformation and intelligent automation capabilities, aiming to unlock efficiencies across procurement by optimising processes and employing emerging technology.

Challenge

The primary challenge faced by the client was identifying and prioritising areas of improvement within their procurement processes, discovering opportunities to implement emerging technology to maximise efficiency and value.

Hudson&Hayes' Approach

  1. Evaluating Automation Maturity: Hudson&Hayes initiated the process by assessing the client's current intelligent automation maturity level. While some automation processes existed, there were substantial opportunities to centralise delivery and globalise existing solutions.
  2. Educating the Business: Hudson&Hayes conducted a series of bite-sized education sessions for leadership and operational staff, providing a thorough understanding of intelligent automation technology. Through demonstrations and explanations, the client gained deep insight into potential applications and benefits.
  3. Developing the Opportunity Pipeline: A feasibility study was performed to create a pipeline of opportunities, which included suggestions from both Hudson&Hayes and the client's employees. Each opportunity was categorised based on the likely solution (standardisation, simplification, RPA, Intelligent Automation, or Data Analytics) and assessed for potential benefits and ease of implementation.
  4. Co-creating the Automation Roadmap: Hudson&Hayes facilitated roadmapping sessions with the client's Centre of Excellence (COE) to sequence opportunities over a 1-2 year period, prioritising benefits and stakeholder impact. The roadmap identified over 20,000 hours of saved time through the implementation of RPA, ChatBot, Low-Code, Process Optimisation, and Predictive Analytics.

Outcome

  1. A comprehensive 2-year automation roadmap significantly enhanced the client's automation capabilities within their procurement department.
  2. Identification of over 20,000 hours of saved time through process optimisation and the implementation of various technologies.
  3. Training of 34 members of the procurement team on intelligent automation, increasing their understanding of emerging technologies and their applications, leading to better decision-making and long-term efficiency improvements.

Client Background

A large manufacturing client approached Hudson&Hayes to develop a simple, cost-effective solution to triage requests, reduce unnecessary demand, and improve the buying experience for Global IT Procurement.

The Challenge

The procurement function of the client had long dealt with a high volume of unnecessary requests from people in the business. These requests came in via various channels, including email and Teams.

Hudson&Hayes Approach

We collaborated with the client's team to map out the procurement process and the requestor customer journey. After understanding the current process, we built a proof of value that combined multiple automation capabilities, including:

  1. A chatbot to answer frequently asked questions and provide instant assistance.
  2. A dynamic workflow to triage requests and guide the buyer to the right place, ensuring a seamless buying experience.
  3. An RPA bot to automate the raising of requests into the appropriate buying system, significantly reducing manual workload.

Our team worked closely with the client to understand their pain points and identify opportunities for improvement. The proof of value demonstrate the art of the possible to solve the painpoint for Global IT Procurement. We developed the solution using the Microsoft Power Platform.

The Outcome

The technology-enabled solution to unlock the following benefits:

  1. Efficient triaging of requests, reducing unnecessary demand and streamlining procurement processes.
  2. An improved buying experience for both the procurement team and internal requestors.
  3. A significant reduction in manual workload, freeing up the procurement team to focus on more strategic tasks.

By leveraging technology, we were able to help the client solve problems through process improvement rapidly.

Client Background

Hudson&Hayes collaborated with a large law firm to build Lean capability for their Innovation and Business Change Team through Hudson&Hayes' Lean Practitioner and Intelligent Automation Training.

The Challenge

The client sought Hudson&Hayes' expertise to develop Lean and Intelligent Automation capabilities within their internal team. Although they had some experience with Lean and Automation, they wanted to enhance the team's skillset. They preferred a tailored training approach, focusing on specific examples from their business, ensuring practical learning that could be applied immediately.

Hudson&Hayes Approach

We provided a customised learning and development experience by meeting with the team before the training to scope out problem statements that could be used throughout the sessions. We then adapted the training content to incorporate their case studies. Delegates received a workbook, and the training was delivered across five modules interspersed with activities. Throughout each module, we guided the team through their problem statements, solving a real-life problem during the training.

The Outcome

By the end of the training, the entire Innovation team and a significant portion of the Business Change team were well-versed in Lean and Intelligent Automation principles and practices, empowering them to apply their newly acquired skills to drive innovation and efficiency in their daily operations.

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