20 real-life Business Process Automation examples in Professional and Knowledge Services
20 real-life Business Process Automation examples in Professional and Knowledge Services
Automation in professional and knowledge services is about maintaining expert judgment, making sense of unstructured documents and working within client-specific context rather than simple repetitive transactions.
The strongest use cases, such as legal research, contract review, and lead follow-up, do not replace the professional; they compress the administrative and analytical groundwork so lawyers, consultants, accountants, and agency teams can spend more time on interpretation, advice, and client relationships while still protecting confidentiality, quality, and regulatory standards.
Business function
Industry
EY's Automated Auditing System
EY has implemented a proprietary Robotic Process Automation (RPA) system that functions as a virtual assistant to streamline the auditing process, allowing the firm to automate the extraction of critical data from lease agreements and bank audit confirmations.
Use Case
Automating Auditing
Tools
Internal Tools
Input
Contracts, auditing files, and lease documents.
Process
The system replicates manual human workflows to read, review, and analyse document content. It automatically identifies and extracts key data points, such as commencement dates and payment terms. In practice, the AI handles approximately 70-80% of simple lease reviews and around 40% of complex real estate leases, flag-ging the remainder for human oversight.
Output
Automated acceptance and confirmation of audit requests, and the delivery of pre-processed documentation packages to auditors for final judgement.
Outcome
Significant reduction in administrative burden, with 50% of bank audit confirmations in EY Australia now processed via AI. This allows staff to focus on high-level analytical tasks and professional judgement rather than data entry.
Accounting, Audit and Tax
Operations
Case Research Automation in Law
Submitted by Frederic Kalinke
This AI Automation helps legal professionals streamline case research by automatically retrieving relevant statutes and key precedents from legal databases, delivering a comprehensive list of authorities that saves one hour of manual work per contract.
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.
EY's Machine Learning to Identify Fraudulent Journal Entries
EY has significantly advanced its audit capabilities through the EY Helix GL Anomaly Detector (GLAD), a patented machine learning tool designed to identify fraudulent or anomalous journal entries within massive datasets. By shifting from traditional manual sampling to scanning 100% of a client's general ledger, EY enables its auditors to focus on high-risk deviations, drastically improving audit accuracy and efficiency across its global network.
Use Case
Detecting anomalous and potentially fraudulent journal entries
Tools
EY Helix GL Anomaly Detector (GLAD)
Input
Client general ledger (GL) journal entry data, including databases containing hundreds of millions of entries
Process
Machine learning algorithms scan 100% of the journal entry population to flag entries that deviate from expected patterns, presenting high-risk anomalies to auditors for manual evaluation
Output
50% reduction in manual documentation reviews and a 30% reduction in average audit time
Outcome
Processed 415+ billion lines of financial data annually; deployed to 75,000+ professionals across 150+ countries
Accounting, Audit and Tax
Finance
Marketing Automation in Law
Submitted by Frederic Kalinke
This AI Automation helps law firms streamline their marketing efforts by auto-generating personalized emails and brochures based on website lead inquiries, delivering tailored client communication that saves one hour of manual administrative work per lead.
Use Case
Marketing Automation
Tools
Google Gemini + Workspace
Input
Website lead
Process
Auto-generate personalised email based on user input or inquiry
Deloitte has revolutionized its audit processes by deploying DARTbot, a generative AI chatbot that provides professionals with real-time, human-like answers to complex accounting and auditing questions. By layering advanced LLMs over their proprietary research platform, the firm has successfully transitioned its staff from manual documentation searches to high-level evaluative tasks, significantly enhancing the speed and quality of audit engagements.
Use Case
Real-time answers to accounting and auditing standards questions
Tools
DARTbot
Input
Accounting standards literature, auditing guidance, firm knowledge base, and natural language queries from audit professionals
Process
The AI parses extensive professional standards documentation to provide direct, conversational responses to user queries, replacing manual topical research
Output
Rapid access to standards guidance and the redirection of professional time toward evaluating objectivity, skepticism, and bias
Outcome
Scaled to ~18,000 U.S. professionals who save hours in every audit
Accounting, Audit and Tax
Finance
Microsoft's Streamlined Product Launches
Microsoft has implemented Finance Launch AI, a conversational tool that centralises decades of institutional knowledge to automate the extraction of financial requirements for new product introductions. By shifting from manual document searching to AI-driven synthesis, the company has halved the lead time required to move from product conception to financial readiness.
Use Case
Streamlining Product Launches
Tools
Internal Tools
Input
A vast knowledge library of proprietary historical data in multiple formats, including Excel, Word, PDF, PowerPoint, emails, and Visio diagrams.
Process
The system utilises RAG to search through thousands of legacy pages to identify similar previous product launches and highlight key stakeholders. It automatically drafts initial finance requirements and identifies unmet regulatory or operational criteria by comparing new proposals against historical benchmarks.
Output
Comprehensive data insights, drafted finance requirement documents, and pre-launch specifications alongside post-implementation report summaries.
Outcome
Achieved a 50% reduction in the time required to gather finance requirements, shortening the process from 6–8 weeks to just 3–4 weeks. The tool has formalised institutional knowledge for over 100 employees, enabling them to query complex process documents in seconds.
IT Services and System Integration
Finance
Mercedes-Benz's Virtual Voice Assistant for Drivers
Mercedes-Benz has expanded its partnership with Google Cloud to integrate a specialized Automotive AI Agent into its MBUX Virtual Assistant. By leveraging the multimodal reasoning of Gemini models, the assistant can now engage in complex, multi-turn dialogues and access real-time data from Google Maps to provide highly contextual travel recommendations.
Use Case
Virtual Voice Assistant for Drivers
Tools
Google Gemini & Internal Tools
Input
Natural language verbal commands, multi-turn follow-up questions, and real-time data from Google Maps Platform (covering 250 million places with 100 million daily updates).
Process
The system utilizes Gemini’s natural language understanding and multimodal reasoning to process complex queries. It employs "contextual memory" to retain information throughout a journey, allowing users to ask follow-up questions (e.g., asking for a restaurant's signature dish after initially asking for directions) without repeating previous details. The agent is specifically tuned for automotive environments to handle diverse accents and minimize driver distraction.
Output
Sophisticated, human-like verbal responses, personalized points-of-interest (POI) suggestions, and dynamic navigation updates displayed via the vehicle’s native interface.
Outcome
Significant enhancement of the in-car user experience through more intuitive and helpful interactions. The automation reduces the cognitive load on drivers by allowing hands-free, conversational control over complex navigation and search tasks, debuting in the new CLA-Class and rolling out across the MB.OS-equipped fleet.
Engineering, Architecture and Design
Product
A&O Shearman's Agentic Legal Workflow Agents
A&O Shearman, in partnership with Harvey AI, deploys multi-step agentic AI agents across four high-complexity legal practice areas - antitrust filing analysis, cybersecurity, fund formation, and loan review, compressing work that previously took several hours into minutes.
Use Case
Agentic Document Analysis and Review
Tools
Harvey AI
Input
Matter-specific legal documents, antitrust filings, loan agreements, fund formation documents, regulatory filings, and curated legal data sources
Process
Harvey AI agents, trained on A&O Shearman's senior legal expertise and proprietary knowledge base, break complex legal issues into actionable plans, execute interdependent reasoning steps, extract and compare data, and synthesise outputs into complete work products with full transparency and human oversight.
Output
Complete legal analysis work products including antitrust filing assessments, loan agreement reviews, fund formation summaries, and regulatory horizon-scanning reports
Outcome
3,500+ lawyers save 2–3 hours weekly on routine work
Legal Services
Legal
Accenture's Enterprise GitHub Copilot Deployment
Accenture rolled out GitHub Copilot to 50,000 developers across its global software delivery operations. The deployment resulted in an 84% increase in successful build rates and a 26% increase in pull requests completed per week, as measured in a randomised controlled trial alongside Microsoft and academic researchers.
Use Case
AI-Augmented Software Delivery at Scale
Tools
GitHub Copilot
Input
Developer prompts, existing codebases, and task context entered by Accenture's software engineers across client delivery and internal development projects.
Process
GitHub Copilot analyses in-IDE codebase context and generates real-time code completions, function suggestions, and commit-ready code across Accenture's global development workforce.
Output
AI-generated code completions and function suggestions integrated into developer workflows, supporting faster pull request cycles and higher build success rates.
Outcome
Successful build rates increased by 84%, weekly pull request completion rose by 26%, and developer throughput improved measurably, enabling Accenture to deliver client projects faster with the same headcount.
IT Services and System Integration
IT
Bain's OpenAI Centre of Excellence for Client AI Delivery
Bain & Company establishes a dedicated OpenAI Centre of Excellence to co-design and deploy AI solutions for clients in retail and healthcare life sciences. Retail clients report improved inventory turnover and reduced operational costs, while life sciences clients achieve faster time-to-market and compliance efficiencies.
Use Case
AI-Enabled Client Solution Delivery at Scale
Tools
OpenAI & ChatGPT Enterprise
Input
Client business challenges in retail and healthcare life sciences, including inventory management, product launch timelines, and regulatory compliance requirements are scoped by Bain engagement teams.
Process
CoE-trained consultants apply OpenAI frontier models, combined with Bain's industry expertise, to design, build, and embed bespoke AI solutions into client operations and technology architectures.
Output
Deployed AI solutions integrated into client workflows, covering demand forecasting, compliance automation, process redesign and operating model transformation.
Outcome
Retail clients report improved inventory turnover and lower operational costs; life sciences clients accelerate time-to-market; AI and technology services now account for 30 percent of Bain revenue.
Management and Strategy Consulting
Operations
IBM's AskHR Employee Self-Service Agent
IBM deployed AskHR, a generative AI-powered HR virtual agent built on IBM watsonx Orchestrate, to automate over 80 HR tasks and handle more than 11.5 million employee interactions annually, enabling a 94% containment rate and cutting HR transaction times for managers by 75%.
Use Case
AI-Powered HR Self-Service and Process Automation
Tools
IBM Watson
Input
Employee queries on payroll, benefits, policies, career development, and HR transactions
Process
AskHR's large language models classify employee prompts and route them to specialised AI agents for HR domains including Benefits, Payroll, and Career and Skills.
Output
Personalised, multi-lingual responses on HR topics delivered conversationally via a single platform
Outcome
94% success rate with only 6% escalated to human advisers) and an NPS of +74
IT Services and System Integration
People
BCG's Deckster AI Presentation Generation Tool
BCG deploys Deckster, an in-house generative AI tool built on OpenAI to automate the creation and refinement of client presentation decks. Since its global launch, consultants have used it to create or edit slides more than 450,000 times.
Use Case
Automated Consulting Deck Creation and Review
Tools
OpenAI
Input
Consultant-provided outlines, ChatGPT prompts, or draft slide content are ingested alongside client engagement context.
Process
Deckster, powered by GPT-4o and integrated with a curated library of 800 to 900 firm-approved templates, auto-builds or polishes slides to match BCG brand standards and senior management expectations.
Output
Fully formatted, branded presentation slides with appropriate layouts, colour palettes, and messaging aligned to BCG quality standards.
Outcome
Slide creation and editing time reduced significantly for junior consultants, with 40 percent of associates using the tool weekly and time saved reinvested in higher-value client work.
Management and Strategy Consulting
Sales
Cooley's Vanilla AI Regulatory Compliance Platform
US law firm Cooley develops Vanilla, a proprietary cloud-based AI platform that continuously monitors federal securities law compliance for over 750 investment fund clients, automating regulatory checks and flagging potential compliance issues in real time.
Use Case
Automated Regulatory Compliance Monitoring for Investment Funds
Tools
Internal Tools
Input
Fund documentation, regulatory filings, investment mandates, and real-time updates to federal securities regulations from the SEC and other bodies
Process
Vanilla's AI engine ingests and analyses fund documents against current regulatory requirements, automatically identifies non-compliant clauses or activities, tracks regulatory change, and generates compliance alerts for legal teams.
Reduced manual review burden and accelerated compliance workflows
Legal Services
Legal
DXC Technology's AI-Powered Security Operations Centre
DXC Technology deploys AI-driven automation across its global Security Operations Centres, replacing manual alert triage with machine-learning models that detect, investigate, and contain threats autonomously. The result is a 60% reduction in alert fatigue and a 50% decrease in mean time to detect and respond.
Use Case
Automated SOC Threat Detection and Response
Tools
7AI
Input
Security event logs, network telemetry, endpoint alerts, and threat intelligence feeds from across DXC's global IT environment
Process
AI agents automatically classify and prioritise alerts, correlate indicators of compromise, and execute predefined containment actions without human intervention.
Output
Automated incident triage decisions, threat containment actions and escalation of genuine high-priority incidents to human analysts
Outcome
Alert fatigue reduced by over 60%, mean time to detect and respond cut by 50% and proactive risk mitigation.
IT Services and System Integration
IT
Capgemini's AI-Driven Campus Energy Optimisation
Capgemini deploys Schneider Electric's EcoStruxure Command Centre (ECC) across 23 campuses in India to autonomously manage energy consumption. The AI platform reduces energy usage by 25 GWh and saves €3 million while enabling a transition to 100% renewable electricity across the estate.
Use Case
Autonomous Building Energy Management
Tools
Schneider Electric EcoStruxure
Input
Real-time data from building systems across 23 campuses, including occupancy sensors, HVAC controls, lighting systems, weather feeds and electricity consumption data.
Process
Schneider Electric's EcoStruxure Command Centre uses AI to continuously analyse occupancy patterns, weather forecasts, and energy loads, autonomously adjusting heating, cooling and lighting to minimise consumption and carbon output.
Output
Automated energy control commands issued to building systems in real time, with centralised dashboards providing visibility of consumption, carbon metrics and renewable energy utilisation across all campuses.
Outcome
Capgemini reduces energy consumption by 25 GWh and saves €3 million across its 23 Indian campuses, while successfully transitioning the entire estate to 100% renewable electricity.
IT Services and System Integration
Sustainability
McKinsey's Lilli Internal Knowledge AI Platform
McKinsey deploys Lilli, a proprietary generative AI platform, to give its 45,000 consultants instant access to over 100,000 internal documents and interview transcripts. More than 72 percent of staff use it monthly, reducing research and synthesis time by approximately 30 percent.
Use Case
Consultant Knowledge Retrieval and Synthesis
Tools
Internal Tools
Input
Consultant queries about client sectors, comparable firms, expert recommendations, or project planning are entered via a conversational interface.
Process
Lilli acts as an orchestration layer across 40-plus proprietary knowledge sources, using large language models to retrieve, synthesise, and contextualise relevant insights and expert referrals.
Output
Summarised answers with source citations, relevant document links, and identification of internal subject-matter experts best suited to the engagement.
Outcome
Research and synthesis time reduced by around 30 percent, enabling consultants to redirect effort toward higher-value client interaction and problem-solving.
Management and Strategy Consulting
Corporate Strategy
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
Marketing, Advertising and PR Agencies
People
PwC's Agent OS Multi-Agent AI Orchestration Platform
PwC launches Agent OS, a patent-pending enterprise AI operating system that connects and orchestrates over 250 AI agents across tax, assurance, and advisory workflows. The platform delivers productivity improvements of 20 to 50 percent across software development, finance, and marketing functions.
Use Case
Enterprise AI Agent Orchestration
Tools
OpenAI & Google Cloud
Input
Business process triggers and workflow tasks across functions including tax, audit, software development, finance, and marketing are submitted to the agent network.
Process
Agent OS routes tasks to the appropriate specialist AI agents, coordinating across major cloud providers, LLM vendors, and enterprise platforms such as Salesforce, SAP, and Workday, under a unified governance layer.
Output
Completed workflow outputs including drafted documents, analysed data, and processed transactions, delivered up to ten times faster than traditional methods.
Outcome
Productivity gains of 20 to 50 percent achieved across key business functions, with over 31 million generative AI interactions logged internally and the platform now deployed for enterprise clients globally.
Management and Strategy Consulting
IT
IBM Consulting Advantage AI Services Platform
IBM Consulting deploys its Consulting Advantage platform to its 160,000 consultants, providing role-based AI assistants for strategy, business analysis, and software development tasks. An application development and testing pilot delivered productivity improvements of up to 50 percent.
Use Case
Role-Based Consultant AI Assistant Deployment
Tools
IBM Watson
Input
Consultants submit day-to-day task requests spanning strategy use case prioritisation, user persona design, code generation, and application testing across client engagements.
Process
Role-trained IBM Consulting Assistants, powered by IBM watsonx and accessible via a conversational interface, apply proprietary methods and industry knowledge, with consultants able to toggle across multiple generative AI models.
Output
Task-specific outputs including prioritised use case assessments, UX personas, generated and converted code, and test results, drawn from IBM's collective institutional knowledge.
Outcome
Application design, development, and testing pilot achieved up to 50 percent productivity improvement, with the platform scaling across 160,000 consultants to accelerate consistent client delivery.
