7 real-life Business Process Automation examples for People

7 real-life Business Process Automation examples for People

Automation in the people or HR function must account for the fact that the work often deals with sensitive employee data, trust, compliance, and culture, not just transactions, and human-to-human contact.

The highest-value automations reduce repetitive administration in recruiting, onboarding, policy support, scheduling, survey analysis, and internal communications, but they need strong governance so consistency improves without creating impersonal experiences or biased decisions.

Industry

Sector

Bank of America's Erica for Employees

Bank of America deployed Erica for Employees, an AI-powered virtual assistant embedded in its internal operations, achieving over 90% workforce adoption and reducing IT support call volumes by more than half — part of a broader $4 billion technology investment driving measurable productivity gains.

Use Case
AI Employee Virtual Assistant for HR and IT Support
Tools
Internal Tools
Input
Employee queries on IT support, HR policies, benefits, processes, and internal knowledge
Process
Uses natural language processing to understand employee queries across HR, IT, and operational topics
Output
Instant, accurate responses to employee HR and IT queries and automated resolution of routine support requests.
Outcome
Over 90% adoption and IT support call volumes reduced by more than 50%.
Retail and SME Banking
People

Deutsche Telekom's AI HR Assistant and Talent Intelligence Platform

Deutsche Telekom deployed askT, a generative AI HR chatbot, alongside the Eightfold talent intelligence platform to automate employee HR queries and transform recruitment and skills matching across its 200,000-person workforce, accumulating over 2.5 million employee conversations.

Use Case
AI HR Chatbot and Intelligent Talent Management
Tools
Internal Tools & Eightfold
Input
Employee HR queries, applicant profiles and CVs, employee skill profiles and development preferences; internal job postings and training catalogue data from 30+ Telekom departments
Process
askT's generative AI classifies and responds to HR queries around the clock using knowledge from HR policies and broader enterprise knowledge bases.
Output
Instant HR query responses available 24/7 in multiple languages; AI-generated candidate shortlists for recruitment; personalised career development and learning recommendations for each employee
Outcome
Over 2.5 million employee conversations since launch and HR knowledge base expanded to cover 30+ Telekom departments
Telecom Operators
People

Albertsons' AI Inbound Labour and Replenishment Matching

Albertsons use AI models to predict daily inbound shipment volumes and match them to available store labour, ensuring receiving teams are correctly staffed to process deliveries and restock shelves without overstaffing or backlogs.

Use Case
AI Inbound Labour and Replenishment Forecasting
Tools
Internal Tools
Input
Historical shipment data, supplier delivery schedules, store labour availability and seasonal demand patterns.
Process
Machine learning models forecast daily inbound volume for each store location and automatically match predicted workloads to available labour shifts, adjusting staffing recommendations in advance.
Output
Daily staffing recommendations for receiving and replenishment teams, aligned to predicted inbound shipment volumes by store.
Outcome
Albertsons move products from loading dock to store shelves approximately 15% faster during peak shopping seasons, reducing delays, overstaffing costs and out-of-stock incidents.
Grocery and FMCG Retail
People

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

Unilever's AI-Powered Graduate Recruitment

Unilever partnered with HireVue and Pymetrics to deploy a fully automated early-careers recruitment process, using neuroscience-based games and AI-analysed video interviews to screen 1.8 million applications annually for cognitive ability and emotional intelligence, reducing time-to-hire by 90% and saving over £1 million per year.

Use Case
Automated High-Volume Candidate Screening and Assessment
Tools
Internal Tools, Hirevue & Pymetrics
Input
AI-analysed video interview recordings
Process
Candidates complete gamified psychometric assessments via Pymetrics, which measures cognitive and emotional traits.
Output
Ranked candidate shortlists for final assessment stage with bias-reduced evaluation scores
Outcome
Time-to-hire reduced from four months to four weeks (90% reduction)
Direct to Consumer Brands
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
Marketing, Advertising and PR Agencies
People

Novo Nordisk's NNGPT internal AI employee assistant

Novo Nordisk has built NNGPT, a proprietary chat assistant trained on internal knowledge including SOPs, safety documents, research databases, and code repositories, to approximately 17,000 employees across R&D, manufacturing, and corporate functions.

Use Case
Enterprise AI Knowledge Assistant for Employees
Tools
NNGPT
Input
Employee natural language queries submitted via the NNGPT interface, resolved against a curated corpus of internal standard operating procedures, scientific literature, safety documentation and software API references.
Process
A large language model fine-tuned on Novo Nordisk's proprietary internal knowledge base retrieves and synthesises accurate, contextually relevant answers to employee questions in real time.
Output
Instant, accurate answers to operational and scientific questions, boilerplate code generation for developers, and procedure look-ups for process engineers, all surfaced via a conversational interface.
Outcome
Adopted by approximately 17,000 employees, NNGPT reduces time spent searching documentation and answering routine queries, freeing staff to focus on higher-value scientific and commercial work.
Pharma and Biotech
People
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