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.

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.

Use Case
Automated Target Sourcing
Tools
Internal Tools & Google Gemini
Input
Global corporate datasets, unstructured market news, and financial filings.
Process
AI agents parse millions of data points to identify companies matching specific strategic criteria, while LLM-ready APIs allow for the rapid extraction of "connected insights" across disparate datasets.
Output
Curated lists of high-probability acquisition targets with automated rationale summaries.
Outcome
Faster decision-making cycles and the ability to evaluate a higher volume of deals without increasing headcount.
Click here to see 2 automations in Corporate Strategy

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.

Use Case
Currency Exchange Rate Optimization
Tools
Internal Tools
Input
Real-time market data, currency fluctuations, and global transaction volumes
Process
AI analyzes market volatility and liquidity patterns to predict optimal conversion windows and automatically manages cross-border liquidity to minimize transaction costs
Output
Optimized conversion timing and automated liquidity balancing
Outcome
$2 billion saved by customers annually in fees compared to traditional banks
Click here to see 3 automations in Data

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.

Use Case
Predicting equipment failure
Tools
Azima DLI
Input
Continuous vibration and temperature sensor data from 15,000 industrial assets
Process
Azima DLI’s AI analyses vibration and temperature patterns using machine learning to identify early indicators of mechanical failure. The system generates automated alerts before a failure occurs, enabling scheduled maintenance.
Output
Proactive maintenance replaces reactive repair; reduced unplanned downtime across facilities
Outcome
10% reduction in maintenance needs; decreased downtime and extended machine lifespan
Click here to see 1 automation in Facilities

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.

Use Case
Automated invoice processing and correction using RPA to eliminate manual data entry and fix supplier invoices across legacy systems
Tools
Microsoft Power Automate
Input
Supplier invoices requiring manual correction due to errors or format mismatches in legacy systems
Process
Power Automate Desktop flows combined with AI Builder automatically detect, process, and correct invoice data across Windows and web applications without human intervention
Output
Corrected, validated invoices ready for approval and payment processing, with errors resolved automatically
Outcome
Saved 300 hours per year for a single supplier and achieved full production deployment within 4 weeks of licence purchase.
Click here to see 6 automations in Finance

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.

Use Case
Security Orchestration, Automation, and Response (SOAR)
Tools
n8n
Input
Security alerts, threat intelligence feeds, monitoring data, and incident tickets from cybersecurity infrastructure
Process
Workflows orchestrate data flows across security tools to perform automated threat detection, IP geolocation, and fraud detection. Reusable modular components are utilised across teams to standardise alert triage and accelerate the creation of new security workflows.
Output
Automated threat analysis reports, classified incident data with activity tags, and instant notifications via email or Slack
Outcome
5,000 person-days saved and £2.2 million in avoided costs since August 2024, with ongoing savings of approximately £300,000 per month
Click here to see 1 automation in IT

Business Automation Examples in Legal

Contract Review Automation in Law

Submitted by Frederic Kalinke

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.

Use Case
Contract Review
Tools
ContractMatrix
Input
Uploaded contract
Process
Analyse clauses, flag inconsistencies or errors
Output
Proof-read contract
Outcome
2 hours saved per contract
Click here to see 2 automations in Legal

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.

Use Case
AI-automated product listing creation
Tools
Naver AI
Input
Seller-uploaded product photos, product category signals, top-performing listing templates, and pricing benchmarks
Process
The AI analyzes uploaded images to identify product type, brand signals, and condition; it then automatically generates a title, description, and suggested category for the seller to review and publish
Output
Significant reduction in listing friction for casual sellers and an increase in the overall volume of high-quality listings on the platform
Outcome
48% reduction in listing creation time during beta testing
Click here to see 6 automations in Marketing

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.

Use Case
Automating charitable delivery allocation
Tools
OutSystems
Input
Agency delivery requests, volunteer driver availability, and donation inventory data previously managed via spreadsheets and manual emails
Process
A custom OutSystems application centralises resource allocation via a dashboard. The app recommends available volunteer drivers, allocates deliveries, and automatically sends email confirmations to both drivers and receiving agencies.
Output
Automated delivery assignments, email notifications to volunteer drivers and partner agencies, and a centralised dashboard for managing all delivery operations.
Outcome
Admin time reduced by over 40 hours; key person dependency eliminated; deployed in 12 weeks to meet a pre-Christmas deadline; scalable foundation supports the charity's goal of going national.
Click here to see 15 automations in Operations

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

Use Case
Dynamic Talent Mapping
Tools
Marcel
Input
Global employee skills data, 35 years of Sapient coding/transformation data, and specific project briefs
Process
Marcel identifies and matches the best-fit creative and technical talent to specific client requirements using an AI-driven "intelligent system" algorithm
Output
Optimised project team assignments and real-time visibility into global resource availability
Outcome
Reduction in "bench time" (unallocated staff time) and improved operational efficiency
Click here to see 5 automations in People

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

Use Case
AI demand sensing for inventory & forecast accuracy
Tools
Internal Tools
Input
Real-time sales data, channel inventory data, market signals, and historical demand patterns
Process
AI analyzes real-time sales and channel data alongside market signals to generate demand forecasts faster than traditional cycles, flagging emerging demand shifts for immediate procurement adjustment.
Output
Faster response to demand changes, reduced excess channel inventory, and increased planning accuracy across product lines.
Outcome
20% reduction in surplus inventory and a 25% improvement in forecast accuracy.
Click here to see 5 automations in Procurement

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.

Use Case
Automated Trip Recommendations and Itinerary Planning
Tools
GenAI Chatbot
Input
Customer preferences including destinations, travel style, budget, interests, and travel dates
Process
The AI chatbot conducts a conversational needs-analysis, filters the Intrepid tour database for the best matches, and provides tailored itinerary suggestions while answering specific tour-related FAQs
Output
Personalised tour recommendations and real-time trip planning guidance
Outcome
Improved lead qualification, reduced time-to-booking, and enhanced customer engagement
Click here to see 4 automations in Sales

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.

Use Case
AI demand forecasting & inventory optimization
Tools
Internal Tools
Input
Historical sales data, festival/seasonal calendars, market trends, real-time inventory levels, and supplier lead times
Process
The AI forecasts demand spikes at the SKU and warehouse level; automated systems then trigger the restocking of fast-moving products and pre-position inventory at regional fulfillment centers to shorten delivery distances
Output
Reduced stockouts during peak sale events, lower warehousing costs due to decreased overstock, and faster delivery to customers
Outcome
Significant reduction in warehousing expenses, inventory obsolescence, and carrying costs; improved seller performance and customer satisfaction during major 2024 sale events
Click here to see 4 automations in Supply Chain

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.

Use Case
Identifying Novel High-Barrier Sustainable Packaging Materials
Tools
IBM Watson
Input
Public and proprietary documents on packaging materials, molecular structure data, and physical-chemical property datasets
Process
IBM AI learns molecular structures from a vast knowledge base while a regression transformer correlates structural features with properties to propose entirely new materials that resist moisture, temperature, and oxygen
Output
In-silico generation of novel packaging candidates evaluated for cost, recyclability, and functionality
Outcome
Drastic compression of R&D timelines, supporting the goal of 100% recyclable or reusable packaging by 2025
Click here to see 2 automations in Sustainability

Business Automation Examples in Financial Services and Capital Markets

Due Diligence Automation in Private Equity and Venture Capital

Submitted by Frederic Kalinke

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%.

Use Case
Due Diligence
Tools
Drooms, Orbital
Input
Documents from potential investment
Process
Parse documents and identify red flags
Output
Reduction in time due diligence takes
Outcome
40-60% reduction in time
Click here to see 15 automations in Financial Services and Capital Markets

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.

Use Case
Automation of clinical data entry and patient record management across multiple hospital systems
Tools
UiPath
Input
Patient clinical data including prostate cancer records requiring entry into multiple systems, and digital intake form data from pregnant women submitted via the national health portal helsenorge.no
Process
UiPath robots automatically read patient data from source systems and replicate it across DIPS journal system, research databases, and reporting tools — eliminating duplicate manual entry. For midwifery, the robot captures digital form submissions and populates all required hospital systems automatically.
Output
Accurately populated patient records across all required clinical systems, with no manual re-entry; complete midwifery intake data available to midwives before birth
Outcome
Significant reduction in time spent on administrative data entry for doctors and nurses; improved accuracy of patient data in clinical systems; midwives now receive complete patient information before births, improving patient safety. Helse Vest has become a leading proponent of RPA within Norwegian healthcare.
Click here to see 4 automations in Healthcare and Life Sciences

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.

Use Case
Automated invoice processing and correction using RPA to eliminate manual data entry and fix supplier invoices across legacy systems
Tools
Microsoft Power Automate
Input
Supplier invoices requiring manual correction due to errors or format mismatches in legacy systems
Process
Power Automate Desktop flows combined with AI Builder automatically detect, process, and correct invoice data across Windows and web applications without human intervention
Output
Corrected, validated invoices ready for approval and payment processing, with errors resolved automatically
Outcome
Saved 300 hours per year for a single supplier and achieved full production deployment within 4 weeks of licence purchase.
Click here to see 6 automations in Industrial, Manufacturing and Engineering

Business Automation Examples in Professional and Knowledge Services

Contract Review Automation in Law

Submitted by Frederic Kalinke

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.

Use Case
Contract Review
Tools
ContractMatrix
Input
Uploaded contract
Process
Analyse clauses, flag inconsistencies or errors
Output
Proof-read contract
Outcome
2 hours saved per contract
Click here to see 10 automations in Professional and Knowledge Services

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.

Use Case
Automating charitable delivery allocation
Tools
OutSystems
Input
Agency delivery requests, volunteer driver availability, and donation inventory data previously managed via spreadsheets and manual emails
Process
A custom OutSystems application centralises resource allocation via a dashboard. The app recommends available volunteer drivers, allocates deliveries, and automatically sends email confirmations to both drivers and receiving agencies.
Output
Automated delivery assignments, email notifications to volunteer drivers and partner agencies, and a centralised dashboard for managing all delivery operations.
Outcome
Admin time reduced by over 40 hours; key person dependency eliminated; deployed in 12 weeks to meet a pre-Christmas deadline; scalable foundation supports the charity's goal of going national.
Click here to see 1 automation in Public Sector and Non-Profit

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.

Use Case
Security Orchestration, Automation, and Response (SOAR)
Tools
n8n
Input
Security alerts, threat intelligence feeds, monitoring data, and incident tickets from cybersecurity infrastructure
Process
Workflows orchestrate data flows across security tools to perform automated threat detection, IP geolocation, and fraud detection. Reusable modular components are utilised across teams to standardise alert triage and accelerate the creation of new security workflows.
Output
Automated threat analysis reports, classified incident data with activity tags, and instant notifications via email or Slack
Outcome
5,000 person-days saved and £2.2 million in avoided costs since August 2024, with ongoing savings of approximately £300,000 per month
Click here to see 3 automations in Technology, Software and Internet

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.

Use Case
Fleet Management and Optimisation
Tools
Ford Pro AI
Input
Granular telematics data from connected vehicles, including fuel utilisation, idle times, speeding incidents, harsh acceleration, and unique fleet-specific historical data.
Process
The system rapidly extracts and distills massive datasets into simplified summaries. It conducts deep analyses of fleet behaviours and utilises conversational AI to process natural language queries. The tool is designed to work across mixed fleets, integrating data from both Ford and non-Ford vehicles through compatible telematics connections.
Output
On-demand summaries of vehicle health and performance, interactive visualisations of fleet trends, and specific recommendations for increasing operational efficiency.
Outcome
Enables fleet managers to answer complex vehicle-related questions in minutes rather than hours. By automating the administrative burden of data analysis, the tool allows managers to focus on high-value gains, such as reducing fuel expenditure and improving driver safety across more than 840,000 paid subscribers.
Click here to see 4 automations in Travel, Transport and Logistics

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.