AI agent examples that drive business impact and intelligent outcomes
10 powerful AI agent examples revolutionising workflows, from healthcare to HR, finance to supply chains.
by Astrid BowserPublished on 24 September 2025 10 minute read

The race to AI agent adoption is on, and it’s moving faster than you might expect. According to Capgemini research, the AI agent adoption has risen from 4% to 14% in just one year, a remarkable 3.5x growth. Why this rapid surge? Because businesses are realising the transformative power of AI – from automating complex workflows and enhancing decision-making to delivering scalable, tailored solutions that drive workflow efficiency across all sectors and functions like healthcare, finance, legal, and HR.
So, how can you stay ahead in this game? Start by exploring real-world examples of AI agents see how they’re helping enterprises to drive growth, innovation, and efficiency. Curious about what makes them impactful? Check out our guide on ‘What are AI agents’ to get in the know.
Healthcare
AI agents have emerged as a true game-changer in healthcare, reshaping healthcare delivery, enabling fast, accurate medical decisions while easing the administrative burden on medical staff. Here’s a few examples of how they’re making waves:
1. Clinical documentation agent
The challenge:
GP practitioners in the UK face an overwhelming volume of mandatory clinical documents. They need to be reviewed, summarised, actioned daily to provide faster and accurate patient care. This process isn’t only time-consuming but also prone to errors, inaccuracies, and delays.
The solution:
Enter the Clinical Summarisation Agent. This AI-powered tool transforms lengthy, complex correspondence into concise, actionable summaries. By extracting crucial information quickly and accurately, it enables GPs to make informed decisions and focus on what matters most, caring for their patients.
The impact:
- 50% reduction in admin time spent on clinical documentation.
- Enhanced productivity, enabling GPs to dedicate more time to critical responsibilities.
Want to discover how the Clinical Summarisation Agent is reshaping healthcare? Watch this video.
2. Patient triage agent
The challenge:
Overcrowded Accident and Emergency departments (A&E) are one of the toughest challenges for the UK’s National Health Service (NHS), often creating bottlenecks that delay care for those who need it most. It leaves patients frustrated and put immense pressure on healthcare staff.
The solution:
The NHS uses an AI-enabled virtual triage chatbot to guide patients to the right care before they even step into a hospital. Seamlessly integrated into patient portals, these smart digital assistants engage with patients, ask them structured, symptom-based questions to assess their needs.
The impact:
- 30% reduction in A&E congestion, improving patient flow and care delivery.
- Non-urgent cases are directed to outpatient clinics or telehealth visits while high-risk cases are prioritised, ensuring they receive immediate attention.
Human resources (HR)
HR teams often juggle multiple responsibilities – recruiting top talent, managing schedules, assigning roles, and overseeing staff. AI agents optimise HR workflows by taking over these tedious tasks, allowing HR teams to focus on what really matters: driving strategic growth and creating a thriving workplace. Here are a few real-world examples to explore this in-depth.
3. Hiring and recruitment agents
The challenge:
With 64% of UK organisations experiencing difficulties in attracting the right candidates, the hiring and recruitment process is a significant challenge for HR professionals. It requires them to review countless resumes, screen candidates, conduct interviews, and eventually make the tough decision of hiring.
The solution:
An AI recruitment agent can filter through mountains of resumes in seconds, identifying the most qualified candidates. By simplifying interview scheduling, and assisting candidates with onboarding it creates a smoother, faster, and smarter experience for both recruiters and candidates.
The impact: Reduce hiring time by 20% while improving candidate satisfaction by 15% - a win win for both employers and employees.
4. Workforce scheduling agent
The challenge:
Insufficient scheduling practices and a lack of automation capability leave HR teams struggling to manage understaffed or overpopulated shifts, according to the SHRM State of the Workplace Report. Furthermore, they often rely on manual scheduling, which is prone to errors, miscommunication, and wasted time.
The solution:
AI-powered Shift Assignment can be a game-changer for workforce scheduling. By automatically assigning the right people to the right shifts while ensuring compliance with company policies, this intelligent agent optimises the staff allocation, eliminates inefficiencies, and frees up HR teams’ time to focus on what truly matters: their people.
The impact:
- Smoother, balanced schedules that reduce absenteeism.
- Enhanced productivity, happy and satisfied employees.
Discover how the Shift Assignment Agent can transform your workforce scheduling here.
Finance
AI agents are poised to define a “transformative era” for finance. These digital assistants perceive and analyse complex data, make informed decisions, and execute actions to achieve specific goals like fraud detection, risk management, and regulatory compliance. Continue reading to discover their real-world impact.
5. Data analytics agents
The challenge:
According to Gartner’s 2025 Finance Executive Priorities Survey, data, metrics, and analytics emerged as the top priorities for CFOs. But managing and leveraging vast amounts of financial data remains one of the toughest challenges for finance teams. Traditional approaches also are no longer helpful to deal with this problem.
The solution:
Active Data Agent is a revolutionary AI tool designed to simplify the chaos of financial data. By breaking down complex datasets and delivering instant, visually intuitive insights.
The impact:
- Instant, user-friendly access to visualised data insights.
- Smarter, faster, and more confident decision-making
Click here to find out more about Active Data Agent and transform the way your teams handle financial data.
6. Risk management agents
The challenge:
Housing associations often operate in a complex environment where tenant satisfaction, safety, compliance, and operational efficiency are all critical. Balancing these priorities whilst maintaining trust and delivering quality services can feel like a battle for them.
The solution:
With Risk Assist, housing associations can create detailed, up-to-date risk statements aligned with current legislation. They receive tailored recommendations for proactive measures, such as implementing better ventilation systems or improving tenant communication. They also identify gaps, which enables them to address potential risks before they become problems.
The impact:
- Organisations are five times more likely to deliver on their promise of safety, trust, and efficiency
- Build greater stakeholder confidence and stronger, more resilient communities.
Want to explore more? Watch this video.
Retail, supply chain, and logistics
AI agents are revolutionising sectors and functions as you’ve seen above, and retail is no exception. According to a McKinsey report, AI-powered tools are projected to create $400 to $660 billion in economic value for retailers. In supply chain operations, AI-driven agents can cut forecasting errors by 20 to 50%, reducing inventory costs while boosting customer satisfaction. Here’s how they are reshaping workflows:
7. Inventory management agent
The challenge:
Retailers often struggle with overstocking, stockouts, and the inefficiency of manual inventory audits, creating roadblocks for them to meet growing consumer demands.
The solution:
AI-powered agents, such as store-floor robots, can monitor shelf inventory in real-time and automatically trigger restocking decisions. By leveraging real-time demand insights, these tools maintain optimal inventory levels while minimising waste.
The impact:
- Reduced excess inventory and storage costs
- Enhanced inventory accuracy
- Smoother operations and improved customer satisfaction
8. Supply chain management agent
The challenge:
Delay deliveries, inefficient route planning, weather events and product damage are some of the common supply chain issues that lead to customer dissatisfaction and loss of revenue for retailers.
The solution:
An AI-powered supply chain agent, integrated with IoT sensors, RFID tags, and machine learning algorithm, monitors and manages shipments across various stages of the supply chain. It offers real-time tracking for customers and enables companies to quickly adjust routes or schedules in response to delays, making efficient and faster shipment deliveries.
The impact:
- 15% increase in on-time deliveries and 20% reduction shipment delays
- Reduced fuel costs through smarter route optimisation
- Improved customer satisfaction and loyalty
Legal
AI agents act as digital colleagues for legal teams, capable of handling complex legal tasks far beyond basic workflows. From analysing and summarising legal insights to drafting and reviewing contracts and even tracking billable hours, these advanced systems enable law firms to operate more efficiently and effectively. Here’s how they’re making a difference:
9. Case progression agent
The challenge:
Managing case progress manually is a constant struggle for legal teams. Tracking deadlines, staying on top of document statuses, and ensuring files keep moving often leads to stalled workflows, and overlooked critical details. This not only risks delays and non-compliance but also damages client trust and costs organisations valuable opportunities.
The solution:
AI agents assist legal teams by regularly monitoring case progression, flagging potential delays, alerting them to upcoming deadlines, and identifying overlooked documents. They act as proactive assistants, ensuring smooth workflows, maintaining visibility across ongoing cases, and sustaining momentum to deliver timely, high-quality legal services.
The impact:
- Less missed deadlines and workflow bottlenecks.
- Enhanced visibility into case progression.
10. Billing time tracker agent
The challenge:
Lawyers dedicate countless hours to cases, yet bill for less than 30% of their workday. This gap represents a significant challenge for law firms, hindering profitability and creating inefficiencies in the billing process.
The solution:
AI-powered billing tracker agent track time entries with precision, identifying gaps, duplicates, and inconsistent billing codes. It flags these issues for timekeepers or finance teams, ensuring that no billable time falls through the cracks.
The impact:
- Minimises revenue leakage.
- Enhances billing transparency and efficiency.
Power your world of work with OneAdvanced’s AI Agents
AI agents are no longer a concept of the future; they’re here, transforming all sectors and functions and driving real results. At OneAdvanced, our AI agents are available 24/7 to help you streamline and automate time-consuming processes, freeing up your staff to focus on what truly matters. Explore our AI agents today and see how we can help your business thrive.
About the author
Astrid Bowser
Principle Product Manager
Astrid Bowser is the Principal Product Manager at OneAdvanced. With a strong background in platform and SaaS solutions, legal, and equestrian industries, she specialises in product development, business strategy, and team leadership. She holds a Computer Science degree and an MBA from Warwick, blending technical expertise with strategic insight. As Co-Chair of the AI Steering Committee, Astrid is a driven professional who thrives in curious and collaborative environments.