Capture the environment: Augment or replace human sensory capabilities, speeding up simple tasks such as data monitoring or visual detection
Gather data from various sources, including IoT devices, sensors, social media and databases (e.g., Environmental monitoring systems that collect data on air quality, water quality and noise levels to ensure compliance with regulations).
Extract relevant information from images and videos, identify objects or patterns and detect anomalies (e.g., Surveillance systems that alert authorities about suspicious activities, analysis of street and traffic cameras in real time to make the best use of public transport, reduce pollution and manage the flow of traffic).
Process and analyse written or spoken language to extract information, sentiment analysis and respond automatically (e.g., conversational AI- powered platforms that help answer common inquiries).
Make decisions based on the environment: Analyse and process large volumes of data much faster than humans, and in some cases, more effectively.
Analyse large volumes of data, identify patterns and generate insights to support decision making (e.g. predictive analytics models that use historical data to forecast disease outbreaks, anticipate traffic congestion or predict housing demand for urban planning, propose more personalised healthcare plans based on healthcare analysis of patient information).
Understand and interpret complex data, and make recommendations (E.g., assist in complex decision- making processes, such as assessing eligibility for social benefits based on individual circumstances and program requirements.
Carry out those decisions: Take simple decision-making tasks off humans – freeing up time for front-line workers to focus on activities that improve services and customer experience.
Magnetic resonance (MR) imaging is crucial for precise medical diagnoses, but the growing demand for MR scans requires improved efficiency and shorter wait times. AI- based image reconstruction can accelerate MR exams, enhancing productivity and cost- effectiveness. It provides high-resolution images that increase diagnostic confidence and improves accessibility for stressed or anxious patients. Shorter exams and accurate scans enhance the patient experience and reduce scanning time thus freeing up valuable diagnostic resources.
(e.g., AI-powered system for government welfare program)
Integration of data from government databases, financial institutions, and other sources to create a comprehensive dataset for fraud detection (e.g., transaction records, beneficiary information and external data feeds).
Machine learning models that analyse transaction patterns, beneficiary profiles, and historical fraud cases to detect potential fraud indicators.
Automated alerts sent to fraud detection units within government agencies, triggering investigations and potential actions against fraudulent activities.
(AI-powered chatbot for conversational services)
Chatbots integrated into government websites or mobile apps, collecting data from users seeking information or assistance.
Natural language processing algorithms that understand user inquiries and retrieve information from government databases or knowledge bases.
AI-powered agents offering 24/7 support to citizens, answering frequently asked questions, guiding users through the application process for government programs, and providing relevant links or forms.
Leverage various sources of data (e.g., work history, educational background, socioeconomic circumstances) to optimise the types of supplemental support that employment agencies offer based on interventions that were most effective for similar job seekers.
Integrating Healthcare Data and AI for advanced care by leveraging Automated Scheduling, Prescription Management, and Telemedicine.
Integration of healthcare data from hospitals, clinics, and wearable devices to create comprehensive electronic health record (electronic medical records, patient-generated health data, and real-time health monitoring from medical devices or wearables).
AI algorithms analysing medical data to provide clinical decision support, predict disease progression, or recommend personalised treatment options.
Automated appointment scheduling, electronic prescription management, and remote patient monitoring using telemedicine technologies.
Smart cities play a crucial role where various systems and services are integrated to enhance the quality of life for residents (optimise energy consumption, manage traffic flow, monitor air quality and improve waste management).
Sensors installed in public transportation systems, smart energy meters, air quality monitoring stations, and waste management infrastructure.
AI algorithms that analyse transportation data to optimise traffic flow, predict energy demand for efficient resource allocation, or analyse waste management data to optimise collection routes.
Automated traffic management systems that adjust traffic signals based on real-time congestion patterns, personalised mobile applications providing real-time public transport information, or intelligent waste management systems that optimise collection routes based on fill levels of bins.
Humana created Allie to streamline outdated and repetitive processes to improve patient health outcomes and boost healthcare business efficiency.
Redundant administrative tasks, such as clinical auditing and medical chart reviews, hinder clinicians from performing at their optimum, affecting both patient outcomes and healthcare business interests. Allie’s Citizen Development (CD) program fosters a cross-functional team consisting of various stakeholders and experts beyond IT, to envision clinician-centered solutions and implement key process improvements. For e.g. The CD team collaborated with pharmacists and nurses to automate the manual process of collecting patients’ health information. Allie automates data collection and uses this to categorize prescriptions by risk level, directing them to the relevant healthcare specialist for review when needed. This approach leads to efficiency gains and reduced risk, benefitting Humana, clinicians, and most importantly, patients. In six months, Allie restructured 35 Humana processes, improving customer service, transparency, and resource use, while reducing time-to-value from months to weeks. Handling real-time processing of millions of claims and prescriptions annually, Allie reduces administrative tasks, granting clinicians 15% more time for patient care.
Smart use of real-automation can therefore enable outstanding levels of experiences:
Eliminates errors and inconsistencies caused by human error, leading to more accurate data and results.
Eliminates the need for users to physically visit government offices, stand in queues, or fill out paper forms. Instead, they can access services conveniently online or through mobile applications from anywhere and at any time. This saves time and effort for users.
Helps governments detect and prevent fraud, cyberattacks, and other security threats. This is particularly important in areas such as national security and border control.
Reduces the time required to achieve operational results by minimising latency and provide near real time insights, empowering and informing decisions. This is particularly important in areas such as public health, where quick decision- making can be crucial.
Frees up government employees to focus on higher value tasks which allows them to focus on human interactions and provide necessary support when needed.
Personalises customer experiences by analysing data and understanding individual preferences. This allows for tailored recommendations, proactive notifications, and personalised assistance in navigating government services.
By strengthening their services to provide outstanding customer experience, governments can generate several benefits:
Across various nations, satisfied users tend to have higher levels of trust in their governments and perceive them as effectively fulfilling their objectives.
Satisfied users are less likely to make repeat appointments, resulting in a well-functioning system with fewer unnecessary visits. However, dissatisfied users are more likely to return with unresolved issues and may resort to public complaints or legal action.
Quick and effective assistance, free of needless bureaucratic processes, can uplift the morale of government employees, which in turn reinforces the quality of service they provide.
Moreover, real-automation supports with:
Greater support for government leaders in making strategic decisons. Real-automation can help governments by analysing specific outputs and submetrics and then determining the initiatives most likely to make an improvement
The ability to guage customers’ happiness is enhanced. Real-automation can be leveraged to capture and analyse users’ perspectives which is better than conducting surveys and enables faster action by the government.