60 real-life Business Process Automation examples
60 real-life Business Process Automation examples
The Business Automation and AI Showcase
This is your ultimate guide to business automation that showcases real-life examples of how companies across multiple industries and functions are using AI and Automation to transform.
With the buttons below, you can select the business function and industries that you’re interested in and see how AI and Automation is actually being used to drive operational improvements.
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Business Automation Examples in Corporate Strategy
S&P Global's M&A engine
S&P Global utilise a combination of Large Language Models to automate the identification of acquisition targets and the synthesis of vast datasets, allowing their strategy teams to evaluate potential deals with significantly higher speed.
Business Automation Examples in Data
Wise's Currency Exchange Liquidity Management
Wise utilises predictive machine learning to optimise currency exchange timing and liquidity management, allowing for near real-time conversion at the most favourable rates while bypassing the high fees associated with traditional banking infrastructure.
Business Automation Examples in Facilities
Cargill's Automated Equipment Failure System
This automation enables Cargill to transition from reactive repairs to proactive asset management by utilising Azima DLI software to monitor 15,000 industrial assets. The system leverages continuous vibration and temperature analysis to identify early signs of mechanical failure, allowing operations teams to schedule interventions before breakdowns occur.
Business Automation Examples in Finance
Komatsu's Automated Invoice Processing
Komatsu Australia, the local arm of the global construction and mining equipment manufacturer, used Microsoft Power Automate and AI Builder to build a Robotic Process Automation solution for invoice fixing. Going from licence purchase to a production RPA solution in just four weeks, the automation saved 300 hours per year on invoicing for a single supplier and is being expanded to cover all suppliers.
Business Automation Examples in IT
Vodafone Automated Cybersecurity Threat Intelligence
This automation enables Vodafone to scale its security operations through a robust SOAR framework, utilising n8n to orchestrate threat intelligence, fraud detection, and incident response. By automating the triage of security alerts and the scanning of malicious data, the system has drastically accelerated threat response times from hours to minutes while delivering significant cost avoidances.
Business Automation Examples in Legal
Contract Review Automation in Law

This AI Automation helps legal professionals streamline contract reviews by analyzing uploaded documents to flag inconsistencies and errors, delivering a meticulously proof-read contract while saving two hours of manual effort during every legal drafting process.
Business Automation Examples in Marketing
Poshmark's AI-Powered Product Listings
Poshmark has significantly lowered the barrier to entry for its sellers by launching Smart List AI, a proprietary tool that automates the creation of product listings. Leveraging advanced image recognition and generative AI powered by Naver, the system analyzes seller-uploaded photos to automatically generate accurate titles, descriptions, and categories, allowing even inexperienced users to produce high-quality listings with minimal effort.
Business Automation Examples in Operations
Impact for Women Automates Charitable Delivery Logistics with OutSystems
This automation enables Impact for Women to streamline the logistics of their 'Bags of Love' programme, utilising a custom OutSystems low-code application to manage complex delivery allocations. By replacing over 60 hours of manual spreadsheet and email coordination with an automated dashboard, the charity has significantly reduced administrative overhead and established a scalable digital foundation to support its national expansion.
Business Automation Examples in People
Publicis Groupe's AI-Powered Team Selection
Publicis Groupe has transformed its talent management by building an "intelligent backbone" that centralises global expertise to facilitate dynamic talent mapping. By using AI algorithms to match employee skill sets and historical performance data with specific project briefs, the system ensures the most effective creative teams are assembled instantly, significantly increasing workforce utilisation across the agency's global network
Business Automation Examples in Procurement
Lenovo's Dynamic Procurement System
This automation enables Lenovo's ecommerce division to transition from static monthly planning to real-time demand sensing, utilising AI to synchronise inventory levels with actual market signals and significantly improving supply chain responsiveness
Business Automation Examples in Sales
Intrepid's Travel Planner Chatbot
Intrepid Travel has integrated a Generative AI chatbot to act as a digital travel consultant, streamlining the trip planning process for small group adventures. By engaging customers in natural, conversational dialogue, the LLM-based assistant matches individual preferences—such as budget, travel style, and interests—with Intrepid’s extensive tour catalog to provide instant, personalised recommendations.
Business Automation Examples in Supply Chain
Flipkart's AI-Powered Supply Chain
Flipkart has optimized its complex supply chain by implementing an AI-based demand sensing and automated replenishment platform to manage the massive surges in consumer activity during peak events like "Big Billion Days." By forecasting demand at both the SKU and warehouse levels, the system ensures that high-demand products are pre-positioned in regional fulfillment centers, minimizing stockouts and drastically reducing last-mile delivery times.
Business Automation Examples in Sustainability
Nestlé and IBM's Packaging Efficiency
This strategic collaboration between Nestlé and IBM Research utilises advanced generative AI and chemical language models to rapidly discover sustainable, high-barrier packaging materials, effectively compressing years of traditional laboratory R&D into digital simulations.
Business Automation Examples in Financial Services and Capital Markets
Due Diligence Automation in Private Equity and Venture Capital

This AI Automation helps investment teams streamline due diligence by parsing prospective company documents to identify critical red flags, delivering a significant reduction in review time and increasing overall deal efficiency by 40% to 60%.
Business Automation Examples in Healthcare and Life Sciences
Helse Vest Deploys RPA to Reduce Clinical Admin Burden for Doctors and Nurses
Helse Vest, a regional health authority in Norway, deployed UiPath RPA (nicknamed 'Robbie Vest') to automate repetitive clinical data entry tasks across its hospitals. Key processes automated include prostate cancer patient data registration across three separate systems (DIPS, a research database, and reporting tools) and midwifery intake forms for pregnant women — replacing paper forms and manual multi-system entry.
Business Automation Examples in Industrial, Manufacturing and Engineering
Komatsu's Automated Invoice Processing
Komatsu Australia, the local arm of the global construction and mining equipment manufacturer, used Microsoft Power Automate and AI Builder to build a Robotic Process Automation solution for invoice fixing. Going from licence purchase to a production RPA solution in just four weeks, the automation saved 300 hours per year on invoicing for a single supplier and is being expanded to cover all suppliers.
Business Automation Examples in Professional and Knowledge Services
Contract Review Automation in Law

This AI Automation helps legal professionals streamline contract reviews by analyzing uploaded documents to flag inconsistencies and errors, delivering a meticulously proof-read contract while saving two hours of manual effort during every legal drafting process.
Business Automation Examples in Public Sector and Non-Profit
Impact for Women Automates Charitable Delivery Logistics with OutSystems
This automation enables Impact for Women to streamline the logistics of their 'Bags of Love' programme, utilising a custom OutSystems low-code application to manage complex delivery allocations. By replacing over 60 hours of manual spreadsheet and email coordination with an automated dashboard, the charity has significantly reduced administrative overhead and established a scalable digital foundation to support its national expansion.
Business Automation Examples in Technology, Software and Internet
Vodafone Automated Cybersecurity Threat Intelligence
This automation enables Vodafone to scale its security operations through a robust SOAR framework, utilising n8n to orchestrate threat intelligence, fraud detection, and incident response. By automating the triage of security alerts and the scanning of malicious data, the system has drastically accelerated threat response times from hours to minutes while delivering significant cost avoidances.
Business Automation Examples in Travel, Transport and Logistics
Ford Pro's Conversational Fleet Management Solution
Ford Pro AI is a conversational fleet management solution that enables operators to query their entire vehicle data ecosystem in real-time, transforming complex telematics into actionable summaries to reduce fuel costs, idle times, and administrative overhead.
Why should companies embed AI and Automation into their operations?
Operational Efficiency
AI and automation are transforming how businesses manage their operations, reducing costs and accelerating workflows. UPS uses its AI-powered ORION routing platform to optimise delivery routes across millions of daily journeys — saving the company millions of gallons of fuel annually and significantly reducing delivery times. By eliminating bottlenecks and streamlining repetitive processes (in this case, through machine learning), companies can redirect resources toward higher-value activities and scale operations without proportional increases in headcount.
Customer Experience
AI can enable businesses to deliver faster, more personalised customer interactions at a scale no human team could match alone. Shopify's integration of AI-powered chatbots has transformed the shopping journey for customers on websites powered by its retail platform, enabling merchants to engage in real-time conversational commerce — answering product queries, offering tailored recommendations, and guiding purchases without human intervention. This seamless blend of automation and personalisation helps brands reduce drop-off, increase conversions and build lasting loyalty.
Employee Productivity
When routine, time-consuming tasks are handled by automation, employees are freed to focus on creative and strategic work that drives more business value. Enterprise adoption of LLMs across workforces have demonstrated measurable gains, with employees completing repetitive tasks significantly faster and reporting higher job satisfaction. Rather than replacing workers, well-implemented AI acts as a force amplifier — elevating what individuals can achieve in the same working day.
Error Reduction
Human error is an unavoidable cost of manual processes, but AI dramatically reduces its frequency and impact across industries. In the health sector, AI diagnostic tools like those developed by Google DeepMind detect conditions such as eye disease with accuracy that matches or surpasses experienced clinicians. In finance and manufacturing alike, automated quality checks catch discrepancies in real time — reducing costly mistakes, improving compliance and building consistency that generates customer trust.
Greater Scalability
Automation empowers organizations to scale operations without a proportional increase in resources or complexity. As demand grows, automated systems can handle higher transaction volumes, manage more data, and orchestrate complex workflows seamlessly. This flexibility ensures that businesses can adapt quickly to market changes, customer needs, and new opportunities—without being limited by manual bottlenecks or stretched teams.
Improved Compliance
For industries with strict regulatory requirements, automation ensures processes are executed consistently and according to policy. Automated systems provide detailed logs and audit trails for every action that's taken, simplifying compliance reporting and reducing the risk of costly errors or missed deadlines. This reliability is especially valuable in sectors like finance, healthcare, and legal services, where accuracy and transparency are paramount.
Faster time-to-market
By streamlining and accelerating workflows, automation shortens the time required to bring products and services to market. Tasks that once took days or weeks can now be completed in hours, allowing businesses to respond quickly to customer needs, launch new offerings ahead of competitors, and seize emerging opportunities without delay. As Mark Zuckerberg recently said: "Doing product well is about learning and iterating as fast as possible ... if we can learn faster than everyone else, we'll win".
Stronger Employee Engagement
When employees are relieved from repetitive, low-value tasks, they can focus on work that leverages their creativity, expertise, and problem-solving skills. This shift not only increases job satisfaction but can foster a culture of innovation and continuous improvement, resulting in a more motivated and productive workforce. In this way, companies can position the adoption of AI and Automation as enhancing rather than replacing human talent.
How to Implement Business Process Automation in Your Organisation
Successfully adopting business process automation requires a thoughtful, step-by-step approach, not only to get employees on board but also to sequence roll-out. Here’s a practical guide to help organisations move from initial planning to successful execution:
#1 Evaluate Your Current Processes
Begin by mapping out your existing workflows and identifying areas that are repetitive, time-consuming, or prone to errors. Engage with stakeholders across departments to understand pain points and uncover opportunities for automation.
#2 Set Clear Goals and KPIs
Define what you hope to achieve with automation, such as reducing processing time, minimizing errors, or improving customer satisfaction. Establish measurable KPIs to track progress and demonstrate value.
#3 Prioritise Processes for Automation
Not all processes are equal candidates for automation. Start with those that are high-volume, rule-based, and have a significant impact on business outcomes. This ensures early wins and builds momentum for broader adoption.
#4 Choose the Right Tools and Platforms
Evaluate automation solutions that fit your technical requirements, budget, and scalability needs. Default to platforms that integrate well with your existing systems and offer flexibility for future growth.
#5 Design and Document Automated Workflows
Work with process owners to clearly document each step of the workflow, including triggers, decision points, constraints and exceptions. Use the same template for mapping all processes across teams in order to design automated processes that are robust, consistent and easy to maintain.
#6 Pilot and Test Automation Solutions
Implement automation on a small scale or within a single department to validate assumptions, identify challenges, and gather feedback. Monitor performance against your KPIs and refine workflows as needed.
#7 Train Employees and Manage Change
Prepare your teams for the transition by providing ongoing training and support. Communicate the benefits of automation and address concerns about job roles or workflow changes to ensure buy-in.
#8 Scale and Optimise
Once initial automations are successful, expand to other processes and departments. Continuously monitor performance, collect feedback, communicate progress and then optimise workflows to maximise the value.