Conversational AI bridges the gap between computers and humans. By translating natural human language into machine-readable instructions, chatbots, voice assistants, and IVR systems allow users to ask questions, perform tasks, and access features with minimal effort, streamlining workflows and improving productivity.

Because conversational AI is such a useful and flexible technology, it sees use in a variety of industries, from manufacturing to retail to legal. Below, we illustrate the power of conversational AI by outlining its applications in the real world.

Conversational AI Examples in Manufacturing

Manufacturing companies use conversational AI to support on-site workers. These tools can give easy access to useful information as staff members navigate complex physical tasks.

Siemens Insights Hub

Chatbots streamline data management and analysis in manufacturing settings. Siemens AG, a German technology conglomerate, recently designed the Insights Hub Production Copilot, an AI chatbot that can help workers navigate vast amounts of manufacturing equipment and system data faster. Employees can ask questions in natural language and receive answers drawn directly from company datasets. For added accuracy, users can specify which documents the chatbot should reference when generating responses.

The Insights Hub Production Copilot makes data more accessible. Non-IT staff, such as operators and maintenance workers, no longer need technical knowledge to get insights from data. This increased accessibility, combined with the technology’s speed, enables workers to make faster decisions from the shop floor.

Andonix

Detroit-based AI solution developer Andonix built Andi, an AI-powered chatbot for manufacturing plants. It accesses company data, including technical documentation, quality systems, and process manuals, to give workers relevant responses to factory-related problems. Workers can use natural language to ask Andi questions about machine performance, downtime causes, and maintenance procedures. They can also request checklists and work instructions.

This allows production and maintenance teams to address problems without waiting for engineer support or sifting through endless pages of paperwork. By providing instant access to operation guides, troubleshooting instructions, and performance alerts, it also decreases machine downtime and speeds up response to faults.

Fluent.ai

AI-powered voice assistants help manufacturing companies improve operational efficiency. Home appliance manufacturer BSH Hausgeräte, for example, partnered with voice recognition solutions company Fluent.ai to develop a speech-to-intent system that enabled voice commands on factory machinery. Operators can verbally instruct machines to lift, move appliances, or execute other tasks. This allows the workers to interact with equipment hands-free, reducing physical workload during fast-paced assembly tasks.

Ultimately, adopting this system led to faster production and improved working conditions. With hands-free AI assistance, workers could complete tasks faster, which reduced transition time by up to 75%. The system also eliminated repetitive physical motions, reducing workers’ risk of strain.

Conversational AI Examples in Utilities

In utilities, conversational AI tools typically help with customer service. Companies use chatbots or voice assistants to offload routine inquiries.

Inbenta

In the utilities sector, chatbots make customer interactions smoother. Spanish AI company Inbenta partners with utilities companies to enable customers to execute tasks via natural language. Customers using Inbenta’s chatbots can download their power bills, make payments, and report outages around the clock. They can also schedule appointments with technicians without mediation from a human operator.

These tools give customers accurate answers instantaneously. It reduces wait times, which improves customer satisfaction, and eases call center workloads, which improves employee satisfaction. By handling simple interactions, Inbenta frees human agents to focus on more sensitive or complex inquiries, enhancing productivity and effectiveness.

Floatbot

Similar to chatbots, voice assistants help utilities companies support higher volumes of service inquiries. For example, conversational AI platform Floatbot partners with utilities companies to provide automated voice support for customer service calls. The system makes outbound calls, asks qualification questions, and books appointments without human intervention.

By automating lead generation and simple customer interactions, Floatbot allows human agents to focus on more complex or strategic tasks. It spares companies from the extra cost of hiring additional support staff, reducing wait times for customers, and increasing the number of inquiries answered per month.

Oman Water and Wastewater Services Company

AI chatbots helped Oman Water and Wastewater Services Company offload simple customer inquiries. By handling billing questions, outage reports, and payment support, the company’s chatbot reduced the amount of time customers spent waiting for human agents. This allowed human agents to focus on complex or sensitive requests that needed professional judgment.

Chatbots empowered the company to provide faster responses to customers without straining its human agents. By distributing workload, the company improved both customer and employee satisfaction.

Conversational AI Examples in Healthcare

Conversational AI in healthcare helps providers manage heavy patient workload. Usually, chatbots and voice assistants help with simple patient inquiries so staff can focus on care.

Philips

Chatbots in healthcare help reduce provider burnout and improve patient outcomes. Healthcare technology company Philips, for example, integrates AI chatbots with their patient monitoring platforms to streamline communication and hospital workflows. These systems can schedule appointments, send schedule reminders, perform symptom triage, and answer frequently asked questions.

By handling simple tasks, the system helps staff focus on direct care. Patients also get faster responses, which improves their access to important medical information. This efficiency leads to smoother operations and better outcomes.

Vsenk

AI-powered voice assistants help healthcare providers offset staff workload and accommodate greater patient volumes. New York healthcare provider, for instance, partnered with technology company Vsenk to deploy an AI-powered voice assistant for patient scheduling and symptom triage. The system connects to the organization’s electronic medical records and answers patient calls in natural language. It also diverts to human staff when needed.

After 90 days of adoption, Northwell reported a 30% decrease in average call handle time and an 18% increase in first-call resolution. The system also freed up staff time equivalent to two full-time employees per facility, improving both efficiency and patient experience.

Zydus Hospitals

Chatbots helped Zydus Hospitals eliminate tedious clerical work. Their ZyE chatbot helped them manage patient information, collect symptom information before visits, answer patient questions, and route patients to relevant specialties and services. The ZyE chatbots work in English, Hindi, and Gujarati to broaden communication.

Able to handle high volumes of interactions without delays, the ZyE chatbot significantly improved operational efficiency at Zydus. The hospital reported a sixfold increase in patient appointments, which they attribute to the chatbot’s user-friendly interface and effective responses. Chatbot adoption also generated them $1 million in revenue.

Conversational AI Examples in Transportation

Transportation companies typically use conversational AI to support drivers, dispatchers, and other staff. Chatbots and voice assistants give them easy access to useful job information, often hands-free.

FourKites

Similar to the manufacturing industry, the transportation industry uses AI chatbots to help users with non-technical knowledge automate manual tasks and access deeper data insights. In 2023, supply chain visibility provider FourKites built a generative AI natural language interface that helps transportation companies extract insights from FourKites’ repository of supply chain data.

Users could simulate the impact of disruptive events, diagnose causes behind non-tracking shipments, receive product guidance in natural language, and automate workflows. With access to broader insights, companies could proactively make decisions to improve their bottom line, instead of reacting to problems as they occur. This ensured smoother, more effective operations.

Telnyx

AI voice assistants in transportation reduce manual busywork. Conversational AI platform Telnyx, for example, uses NLP to let drivers and dispatchers automate tasks like driver check-ins, bookings, ride confirmations, shipment updates, and warehouse coordination via speech. Drivers can speak to the system in everyday language to manage delivery appointments.

Dispatchers can also use the system to manage routing, give instructions, and notify drivers of updates. This technology spares dispatchers from needing to take every routine call. The reduced workload empowers them to shift their attention to higher-impact activities.

DispatchTrack

Delivery tracking software DispatchTrack uses AI-powered voice assistants to streamline delivery briefs for drivers. Before each stop, the voice assistant provides short audio summaries of relevant information, including parking instructions, access notes, traffic considerations, and other delivery details. This feeds drivers critical job details without removing their focus on the road.

The assistant has helped companies reduce failed deliveries and smooth route execution. By providing real-time insight, it reduces driver stress, improves operational efficiency, and strengthens the reliability of deliveries.

Conversational AI Examples in Financial Services

Financial institutions typically use conversational AI in their customer service arms. These tools can answer questions or enable users to execute basic banking tasks.

Bank of America

One of the most famous examples of AI chatbot technology is Bank of America’s AI-driven financial assistant chatbot, Erica. Launched in 2018, Erica helps customers with a variety of simple tasks, such as checking balances, transferring money, making payments, and finding nearby ATMs or Bank of America branches. Erica can also provide personalized financial advice, such as spending habit breakdowns and recurring subscription monitoring.

With Erica, completing banking tasks and understanding personal financial data becomes easier. Since launch, Erica has answered more than 800 million inquiries, helping 42 million of Bank of America’s clients. Approximately 98% of Erica users say that the chatbot delivers effective answers within 44 seconds. The chatbot’s support with basic tasks helps shift human agents’ attention to situations that require deeper expertise.

DBS Bank

Chatbots can also help corporate clients. In late 2025, DBS Bank rolled out an upgraded generative AI version of its chatbot, DBS Joy, to serve small- to medium-sized enterprise clients with corporate banking needs. The chat assistant handles basic questions about corporate banking products, fees, and account processes. It also provides status updates and reroutes complex concerns to human agents.

According to DBS reports, Joy has managed more than 120,000 chats, leading to a 23% increase in customer satisfaction. Offloading basic inquiries improved response consistencies and allowed human agents to focus on high-value requests.

Master of Code

AI voice agents can help human agents in banking manage basic customer inquiries. Master of Code Global, for example, developed an AI-powered voice agent that connects directly to backend systems. Its access to secure financial data allows it to help banking customers check balances, review transactions, and perform payments through natural conversation. It also supports sensitive actions, such as updating contact information and reviewing credit limits.

Offloading these routine tasks to AI allows banks to reduce wait times. With improved speed and accuracy, banks can maintain high customer satisfaction without incurring additional labor or operational costs. It also allows human agents to focus on more complex customer requests.

Conversational AI Examples in Construction

Similar to manufacturing, construction companies use conversational AI to support on-site workers as they navigate complex physical tasks. Chatbots and voice assistants can simplify project management, provide valuable site info, and automate reporting.

Buildots

AI chatbots have helped companies streamline construction management. This is what Buildots’ generative AI construction management tool, Dots, hopes to achieve. Launched in 2024, the system analyzes data from sites using advanced AI and computer vision, then provides insights related to the project. Workers can ask about project progress, task completions, risk, and other details in everyday language. By simplifying both data retrieval and presentation, the system gives everyone more visibility into the project’s health, enhancing their capacity to craft smart strategies and effective decisions.

Dots can even cross-reference disparate datasets to extract deeper insights. For example, superintendents can ask the program for a list of sites with accumulating risk indicators, such as weather delays, supply chain constraints, or inspection failures. This information helps the team plan schedules and allocate resources more effectively.

Benetics AI

In construction, voice assistants simplify jobsite reporting. Benetics AI, for example, developed an AI-powered app that lets field workers execute tasks via voice commands. Field workers can speak into their smartphones to create punch-list items, submit requests for information, and log daily progress. The system will then generate reports with metadata for timestamps, locations, photos, and trade details.

Benetics AI’s assistant supports more than thirty languages. It functions in noisy environments and integrates with the project management tool Procore, enabling seamless adoption. By eliminating typing and paperwork with minimal disruption to construction workflows, Benetics AI speeds up documentation, reduces delays, and improves visibility on site projects.

DocsBot

Conversational AI can provide construction staff with easy access to critical project information. AI platform DocsBot, for example, trains models on each organization’s existing content and documentation to provide answers about project status, inspection protocols, compliance standards, or supplier and material data. Users like project managers, site staff, and supervisors can ask questions in natural language through the DocsBot conversational AI interface.

By offering instant access to project information and eliminating paperwork, the bot streamlines communication, reduces delays, and keeps all stakeholders aligned. It also supports safety compliance and quality checks across disparate teams.

Conversational AI Examples in Retail

In retail, conversational AI can support a wide range of areas, including marketing, customer service, and shipping. These tools make it easier for customers to access the information they need, improving satisfaction and driving sales.

Feretti

AI-powered chatbots help retail brands create personalized shopping experiences and increase conversions. Luxury haircare brand Feretti, for example, uses a web-based AI tool that guides customers through an interactive quiz. Shoppers answer questions about their hair type, condition, and preferences, and then receive tailored product recommendations.

Customers can also ask the chatbot for specific suggestions. They might request shampoos that match their favorite fragrance or fit their budget. The chatbot scans the company’s data and quiz responses to provide thoughtful, personalized recommendations. By engaging customers on their specific needs, the chatbot successfully tripled Feretti’s conversions.

superU AI

Voice assistants help retail companies accommodate higher volumes of customer calls. Conversational AI solution superU AI, for example, provides 24/7 automated support for retail customer service lines, handling simple inquiries like order status, returns, and store policies. This eliminates long wait times, increasing customer satisfaction and retention.

By automating repetitive tasks, superU AI also affords human agents more free time. This reduces the risk of fatigue or burnout and allows agents to focus on higher-impact activities. With support workload properly distributed, companies can accommodate seasonal demand surges without hiring additional staff or overworking existing employees.

ShipSprint

Conversational AI can also help stores monitor deliveries. E-Commerce solution developer ShipSprint, for example, built a shipping chatbot that notifies customers about delivery statuses, timelines, and logistics issues in real-time. With retrieval augmented generation, it can ensure update accuracy and prevent spreading misinformation in high-volume support environments. Customers may interact with the bot 24/7, eliminating the wait for support staff.

Not only does the chatbot decrease the workload of human agents, but it also improves satisfaction scores. Additionally, leaving routine tracking inquiries to the bot allowed the staff to focus on complex shipping issues. This system helps manage demand surges during peak seasons.

Conversational AI Examples in Telecommunications

Telecommunications companies use conversational AI tools to address basic customer inquiries or support call center agents. By providing easy access to critical information, conversational AI improves both customer satisfaction and agent performance.

Omantel

Telecommunications companies use AI chatbots to manage customer interactions more efficiently. Omani telecommunications operator Omantel, for example, worked with chatbot developer ActionBot to deploy multilingual, round-the-clock customer support chatbots. This tool helps customers with common queries, such as bill payments, plan upgrades, and service troubleshooting. It can also provide product or service recommendations based on customer data.

By providing 24/7 access to customer assistance, ActionBot enables Omantel to allocate its human agents more effectively. ActionBot’s case study even revealed that only 2-3% of users who interact with ActionBot end up requesting call center assistance. With reduced wait times and personalized responses, ActionBot boosted conversions to 180,000 to 200,000 per month.

Comcast

Telecommunications companies use conversational AI to support call center agents in real time. Comcast, for example, leverages voice assistants to help agents answer complex questions with greater speed and accuracy. Agents can ask the AI for advice on customer service issues, retrieve relevant troubleshooting steps, or clarify customer account information.

By providing instant, relevant insights, the system decreases call handling time and improves resolution rates. It allows agents to handle larger call volumes while maintaining quality service. This increased efficiency leads to improved satisfaction for both agents and callers.

Telstra

Australian telecommunications giant Telstra deployed AI-powered assistants to support human agents during customer calls. These tools listen in on live calls and display relevant troubleshooting steps, billing details, and support documentation in the agent’s interface in real-time. This guidance helped agents resolve many customer issues on first contact, reducing follow-up calls by 20%.

The AI also supports more than 50 languages across chat, social media, and messaging channels, accommodating non-native speakers and multi-lingual users. The added coverage enables Tesla to broaden its support without investing in a huge multilingual team.

Legal

Law firms and other legal organizations use conversational AI to accelerate the review of lengthy legal documents. They may also use chatbots and voice assistants to streamline client communication.

Harvey AI

In the legal industry, AI-powered chatbots process vast amounts of data from legal documents, streamlining workflows. The generative AI platform Harvey AI, for example, uses NLP to extract legal documents for key points and important insights. With this information, it can review and analyze contracts, speed up research, and monitor compliance.

Lawyers can ask Harvey specific questions in everyday language and get accurate answers. For example, one lawyer might ask the program to pick out the limitations of liability clauses from all documents. This speeds up information retrieval, enabling the team to focus on more complex tasks.

Chatlaw

Another AI tool that helps streamline legal workflows is Chatlaw. This large language model allows both lawyers and clients to ask questions about legal workloads in natural language. Users can request summaries of statutes, explanations of legal concepts, or relevant precedents. The system integrates with a knowledge graph, which improves accuracy.

Although Chatlaw cannot replace human judgment, it drastically reduces the time spent on preliminary research. Its support affords legal professionals free time to focus on strategy rather than manual data gathering.

MissNoCalls

Law firms use virtual assistants to offload customer communication while gathering customer data. The AI voice bot MissNoCalls, for example, answers incoming calls, captures case details, and schedules consultations, allowing firms to respond to clients quickly while collecting information for intake. It also routes urgent matters to human staff when necessary.

By automating tedious routine calls, the voice assistant frees legal staff to focus on client strategy and case work. It integrates with practice management systems, allowing intake data to flow directly into the firm’s CRM. With the voice assistant’s support, administrative overhead decreases while ensuring all clients receive timely attention.

Leverage the Power of AI

Conversational AI can streamline your operations in meaningful ways. Tools like chatbots, voice assistants, and IVR systems take on everyday tasks, freeing your team to focus on higher-value work. Because these systems learn from each interaction, they grow smarter over time, adapting to your users’ habits and offering more personalized support.

Schedule a consultation with Bronson.AI to explore how AI can strengthen your business. Our specialists can guide you through a wide range of options, from conversational and generative AI to advanced analytics and business intelligence. We shape every solution around your goals, so you get the most value from your AI investment.