AI chatbots are now used by businesses, employees, students and consumers for everything from customer support and research to product discovery and workplace productivity.
However, chatbot adoption is not equal across every industry or use case.
Businesses with high volumes of repeated questions, digital customer journeys and round-the-clock support requirements tend to use AI chatbots most heavily. These include ecommerce, technology, financial services, travel, healthcare, education and professional services.
Trust is more complicated.
Users are generally more willing to trust chatbots with simple, low-risk tasks such as checking an order, finding information or booking an appointment. They are less likely to trust them with sensitive, emotional or financially significant decisions unless a human remains available.
This guide explains who uses AI chatbots the most, which chatbot applications people are most likely to trust and how businesses can create a more reliable chatbot experience.
TLDR: Who uses AI chatbots the most?
The heaviest business users of AI chatbots are organisations that receive large numbers of repeat enquiries or need to support customers outside standard working hours.
Industries using AI chatbots most commonly include:
- Ecommerce and retail
- SaaS and technology
- Banking and financial services
- Travel and hospitality
- Healthcare
- Telecommunications
- Education
- Property and estate agencies
- Professional services
- Local service businesses
Within companies, chatbots are most commonly used by:
- Customer-service teams
- Sales and lead-generation teams
- Marketing departments
- Human-resources teams
- IT support teams
- Operations teams
The most trusted chatbots are not necessarily the ones with the most advanced technology. They are usually the ones that provide accurate answers, explain that they are AI, protect customer data and make it easy to reach a person when required.
What is an AI chatbot?
An AI chatbot is software that can understand questions and provide conversational responses through text or voice.
Unlike a basic rule-based chatbot, which follows a fixed sequence of buttons or scripted answers, an AI chatbot can interpret different ways of asking the same question.
It may use technologies including:
- Natural-language processing
- Machine learning
- Large language models
- Information retrieval
- Business-system integrations
- Speech recognition
- Text-to-speech generation
A business chatbot may be connected to approved sources such as:
- Website pages
- Product information
- Help-centre articles
- Internal documents
- Frequently asked questions
- Appointment systems
- Customer relationship management platforms
- Order-management systems
The chatbot can then use this information to answer questions, recommend relevant pages or complete approved actions.
Nertia’s AI Chatbot Maker allows businesses to build and customise a chatbot around their own website, services and customer journey.
How common is AI chatbot use?
AI use has become part of everyday work and consumer behaviour.
Employees use conversational AI to write, summarise, research, organise information and complete repetitive tasks. Businesses use chatbots to provide support, capture leads and help customers navigate digital services.
Small-business adoption is also increasing.
Chatbots are no longer limited to large corporations with large customer-service departments. A local service business can now use an AI chatbot to answer common questions, collect project information and direct visitors towards the right service.
However, adoption does not mean complete automation.
Many businesses use AI to support their teams rather than replace them. The chatbot handles routine questions, while employees take over when the issue requires personal judgement, empathy or specialist knowledge.
Which industries use AI chatbots the most?
There is no single universal ranking that applies to every country and every type of chatbot. Usage also changes quickly as the technology develops.
However, several industries are particularly well suited to chatbot adoption.
1. Ecommerce and retail
Ecommerce businesses are among the heaviest users of chatbots because customers regularly ask repeated questions before and after making a purchase.
Common chatbot tasks include:
- Finding products
- Comparing options
- Checking stock
- Explaining delivery times
- Providing order updates
- Answering returns questions
- Recommending relevant products
- Directing customers to sizing or product guides
These tasks are generally structured and supported by information already available within the retailer’s website or systems.
A chatbot can also help shoppers narrow down a large product catalogue by asking questions about their preferences.
For example, a customer looking for a laptop might be asked about their budget, intended use and preferred screen size before being shown suitable options.
Why retail businesses use chatbots
Retailers often have:
- High enquiry volumes
- Repeat questions
- Customers in different time zones
- Large product catalogues
- Seasonal increases in demand
- A need for fast order information
What customers are likely to trust
Customers are more likely to trust a retail chatbot with product discovery, delivery information and order updates than with complaints involving significant refunds or disputed payments.
2. SaaS and technology businesses
Software companies frequently use AI chatbots because their products are delivered digitally and may require ongoing guidance.
Chatbots can support:
- Product onboarding
- Feature explanations
- Technical troubleshooting
- Account guidance
- Pricing questions
- Integration information
- Help-centre navigation
- Lead qualification
- Demonstration bookings
A SaaS chatbot can identify what a visitor is trying to achieve and recommend the most relevant feature, guide or subscription plan.
It can also reduce pressure on support teams by resolving straightforward questions before a ticket is created.
Why technology companies use chatbots
Technology businesses often have:
- Detailed product documentation
- Large numbers of technical questions
- International customers
- Subscription-based services
- Digital onboarding journeys
- Frequent feature updates
What customers are likely to trust
Users may trust a chatbot to explain features or locate documentation. They may prefer a person when the issue involves account security, data loss, billing disputes or a complicated technical failure.
3. Banking and financial services
Banks, insurers and financial-service companies use chatbots to provide basic information and support high volumes of customer interactions.
Common uses include:
- Checking service information
- Locating transactions
- Explaining account features
- Reporting a lost card
- Providing application updates
- Answering insurance questions
- Directing users to fraud support
- Booking appointments
Financial chatbots require stronger security and more restrictive controls than many general business chatbots.
They should not provide unsupported financial advice or make high-impact decisions without appropriate governance.
Why financial businesses use chatbots
Financial organisations often have:
- Large customer bases
- High support volumes
- Repeated account questions
- Strict identification requirements
- A need for round-the-clock assistance
- Complex products that require explanation
What customers are likely to trust
Customers may trust a verified banking chatbot to provide account information or direct them to the correct department.
They are less likely to trust a chatbot alone with investment decisions, suspected fraud, major lending decisions or serious financial hardship.
4. Travel and hospitality
Airlines, hotels, travel platforms and booking companies receive many time-sensitive questions.
Chatbots can help customers:
- Search availability
- Check booking details
- Understand baggage policies
- Request hotel information
- Find check-in times
- Receive travel updates
- Change simple booking details
- Explore destinations
- Find cancellation policies
Travel chatbots are particularly useful because customers may require support outside the company’s local working hours.
Why travel businesses use chatbots
The industry frequently deals with:
- International customers
- Multiple time zones
- Repetitive policy questions
- Time-sensitive changes
- High seasonal demand
- Large booking databases
What customers are likely to trust
Travellers may trust a chatbot with booking confirmation, check-in guidance and general policy information.
They are more likely to want a person when a flight is cancelled, money is disputed or several parts of a journey need to be rearranged.
5. Telecommunications
Mobile networks and internet providers use chatbots to handle common service and account questions.
Applications include:
- Checking service status
- Troubleshooting connectivity
- Explaining packages
- Viewing data allowances
- Updating account information
- Arranging engineer visits
- Tracking hardware deliveries
- Directing customers to technical support
Why telecommunications companies use chatbots
Telecommunications providers often experience:
- Very high support volumes
- Repeat technical questions
- Service outages
- Complex account structures
- Large consumer customer bases
- Demand for immediate answers
What customers are likely to trust
Customers may trust a chatbot with basic troubleshooting or service updates.
They may prefer a human when a fault continues, the customer is vulnerable or the issue has already been handled incorrectly.
6. Healthcare
Healthcare organisations use chatbots for administrative support, general information and patient navigation.
Possible applications include:
- Booking appointments
- Providing clinic information
- Explaining preparation instructions
- Sending reminders
- Directing patients to appropriate services
- Answering administrative questions
- Providing approved general health information
Healthcare chatbots require careful boundaries.
A chatbot should not present itself as a medical professional or provide personalised diagnosis without appropriate clinical oversight.
Why healthcare organisations use chatbots
Healthcare providers often need to manage:
- Large appointment volumes
- Repeated administrative enquiries
- Limited telephone capacity
- Patients requiring information outside office hours
- Complex service navigation
- Accessibility requirements
What patients are likely to trust
Patients may be comfortable using a chatbot to book an appointment or find clinic opening times.
They may be less willing to rely on it for diagnosis, treatment choices or urgent symptoms.
7. Education
Schools, universities, training providers and online-learning platforms use chatbots to support students and applicants.
Chatbots can answer questions about:
- Course requirements
- Application deadlines
- Timetables
- Fees
- Campus services
- Learning resources
- Technical access
- Assignment guidance
- Student support departments
AI study assistants may also help learners explain concepts, summarise information and practise questions.
Why education providers use chatbots
Education organisations frequently receive:
- Repeated admissions questions
- Enquiries from international students
- High demand around deadlines
- Requests outside office hours
- Questions spread across many departments
What users are likely to trust
Students may trust a chatbot to locate information or explain a general concept.
They should not rely on it uncritically for assessed work, safeguarding matters, official grading decisions or personal welfare support.
8. Property and estate agencies
Property businesses use chatbots to respond quickly to prospective buyers, sellers, landlords and tenants.
Chatbots can:
- Recommend relevant properties
- Collect buyer requirements
- Arrange viewings
- Answer property questions
- Provide valuation information
- Capture landlord enquiries
- Explain application processes
- Direct maintenance requests
Why property businesses use chatbots
Property enquiries often arrive:
- During evenings and weekends
- From several listing platforms
- Before the customer is ready to call
- In large numbers for popular properties
- With similar qualification questions
What customers are likely to trust
Customers may trust a chatbot to arrange a viewing or provide published property details.
They may want a person when discussing offers, contracts, legal responsibilities or sensitive tenancy issues.
9. Professional services
Accountants, legal firms, consultants, agencies and advisers can use chatbots to organise initial enquiries.
Common uses include:
- Explaining services
- Collecting project requirements
- Identifying the relevant department
- Booking consultations
- Providing process information
- Answering basic pricing questions
- Sharing relevant resources
A chatbot should not be used to provide definitive legal, financial or professional advice unless the system has been specifically designed, reviewed and governed for that purpose.
Why professional-service firms use chatbots
These firms often have:
- Detailed services that require explanation
- Repeat initial questions
- Qualification requirements
- Limited specialist availability
- High-value enquiries
- A need to protect professional time
What clients are likely to trust
Potential clients may trust a chatbot to explain a service or arrange a consultation.
They are less likely to rely on it for a final professional recommendation affecting their finances, legal position or business strategy.
10. Local service businesses
Trades, clinics, salons, installers, repair businesses and other local companies can benefit from AI chatbots even when their enquiry volume is lower than that of a large enterprise.
A chatbot can:
- Explain services
- Check whether a location is covered
- Collect job details
- Ask for photographs
- Provide opening hours
- Answer pricing questions
- Book appointments
- Capture out-of-hours leads
- Direct urgent enquiries appropriately
Why local businesses use chatbots
Local service businesses are often:
- Busy completing work
- Unable to answer every call
- Dependent on fast lead response
- Asked the same questions repeatedly
- Receiving enquiries outside working hours
What customers are likely to trust
Visitors may trust a chatbot to confirm service areas, opening times and appointment availability.
They may still expect to speak with the business before approving expensive, complex or safety-critical work.
Industry chatbot usage compared
| Industry | Common chatbot tasks | Why adoption is high | When a human is most important |
|---|---|---|---|
| Ecommerce | Product search, orders and returns | High volumes of repeat questions | Disputes and unusual refunds |
| SaaS | Onboarding and technical guidance | Digital products and large knowledge bases | Security and complex faults |
| Financial services | Account support and service navigation | Large customer bases | Fraud, lending and financial hardship |
| Travel | Bookings, policies and updates | Time-sensitive international support | Cancellations and complex rebooking |
| Telecommunications | Troubleshooting and account guidance | High enquiry volumes | Persistent technical faults |
| Healthcare | Appointments and approved information | Administrative pressure | Diagnosis and urgent symptoms |
| Education | Admissions and student information | Repeat questions and deadlines | Welfare and official decisions |
| Property | Viewings and lead qualification | Out-of-hours demand | Offers, contracts and disputes |
| Professional services | Initial enquiries and bookings | Protects specialist time | Personalised professional advice |
| Local services | Lead capture and appointment support | Missed calls can mean lost work | Quotes and complex requirements |
Which business departments use chatbots most?
Chatbot adoption can also be understood by looking at business functions rather than industries.
Customer service
Customer service is one of the most common chatbot applications.
Chatbots can handle:
- Frequently asked questions
- Account navigation
- Order tracking
- Basic troubleshooting
- Policy explanations
- Ticket creation
- Support triage
This gives human agents more time for complicated or sensitive enquiries.
Sales and lead generation
Sales chatbots can engage visitors while they are actively considering a service.
They may:
- Ask qualification questions
- Identify the customer’s requirements
- Recommend a service
- Collect contact details
- Book a meeting
- Notify a sales representative
- Direct the visitor to a relevant case study
A chatbot should avoid creating unnecessary friction by asking for too much information too early.
Marketing
Marketing teams use chatbots to distribute content, guide campaigns and understand visitor intent.
Examples include:
- Interactive landing pages
- Product recommenders
- Campaign assistants
- Content discovery
- Event registration
- Promotional qualification
- Audience research
Human resources
Internal HR chatbots may answer employee questions about:
- Annual leave
- Company policies
- Benefits
- Onboarding
- Training
- Expenses
- Internal processes
They should not make independent decisions about disciplinary action, wellbeing or employment rights.
IT support
IT chatbots can guide employees through common technical issues such as:
- Password resets
- Account access
- Software installation
- Device setup
- Known outages
- Ticket creation
Operations
Operations teams may use internal chatbots to retrieve information, summarise documentation and help employees follow approved processes.
Who uses consumer AI chatbots the most?
General-purpose AI assistants are used differently from website customer-service chatbots.
Groups with particularly strong use include:
- Students
- Knowledge workers
- Software developers
- Marketing professionals
- Researchers
- Business owners
- Content creators
- Customer-service employees
Common consumer uses include:
- Research
- Writing
- Coding
- Summarisation
- Brainstorming
- Translation
- Study support
- Planning
- Data analysis
Younger and digitally confident users often adopt new AI tools quickly, although usage is increasingly spreading across age groups and professions.
Usage should not be confused with complete trust.
A person may use an AI chatbot regularly while still checking important answers against another source.
Which AI chatbots are the most trusted?
There is no permanent or universal ranking of the most trusted AI chatbots.
Different surveys measure different types of trust, such as:
- Trust in the company providing the chatbot
- Trust in answer accuracy
- Trust with personal data
- Trust for purchasing decisions
- Trust for customer support
- Trust for workplace tasks
- Trust for sensitive advice
Results can also change quickly as models, privacy policies and public awareness change.
Well-known general-purpose platforms may benefit from brand recognition and widespread use, but popularity does not prove that every answer is accurate or that the platform is suitable for every business task.
For a company website, the most trustworthy chatbot is usually one that:
- Uses the business’s approved information
- Clearly identifies itself as AI
- Provides accurate and relevant answers
- Avoids inventing information
- Protects visitor data
- Explains its limitations
- Offers access to a person
- Is maintained when business information changes
Consumer AI assistant vs business website chatbot
| Feature | General AI assistant | Business website chatbot |
|---|---|---|
| Main purpose | Broad research and productivity | Support a specific customer journey |
| Knowledge | General model knowledge and connected sources | Approved company information |
| Owner | Technology provider | The business deploying it |
| Typical questions | Broad and open-ended | Products, services and support |
| Accuracy requirement | Varies by topic | Should match official business information |
| Ability to take action | Depends on platform | Can book, capture leads or retrieve account data |
| Human escalation | Usually unavailable | Should be available where appropriate |
| Brand tone | Platform controlled | Can reflect the company’s tone |
| Data responsibilities | Primarily platform governed | Shared between provider and deploying business |
What types of chatbot interactions do users trust most?
Trust tends to be higher when a task is simple, reversible and supported by clear information.
Higher-trust chatbot tasks
Users may be relatively comfortable trusting a chatbot to:
- Provide opening hours
- Locate a website page
- Check an order
- Confirm an appointment
- Explain a published policy
- Recommend general resources
- Provide product availability
- Answer frequently asked questions
- Collect initial enquiry details
Medium-trust chatbot tasks
Users may accept chatbot assistance but still want confirmation for:
- Product recommendations
- Troubleshooting
- Comparing service options
- Changing a booking
- Estimating costs
- Explaining account information
- Recommending a subscription
Lower-trust chatbot tasks
Users are more likely to expect human involvement for:
- Medical diagnosis
- Legal advice
- Investment recommendations
- Major financial decisions
- Fraud reports
- Safeguarding concerns
- Complaints involving significant losses
- Emotionally sensitive conversations
- Final hiring or lending decisions
Trust by task compared
| Task | Likely trust level | Why |
|---|---|---|
| Opening hours | High | Simple and easily verified |
| Order tracking | High | Based on specific system data |
| Appointment booking | High | Clear and reversible |
| Basic product guidance | Medium to high | Useful when based on accurate catalogue data |
| Technical troubleshooting | Medium | Depends on complexity |
| Estimated pricing | Medium | May require individual assessment |
| Complaint resolution | Low to medium | Often requires judgement and empathy |
| Financial advice | Low | High consequence and highly personal |
| Medical diagnosis | Low | Requires clinical responsibility |
| Legal advice | Low | Depends on individual facts and jurisdiction |
What makes an AI chatbot trustworthy?
Trust is created by the complete experience, not simply by choosing a well-known AI model.
Accurate information
A trustworthy chatbot should answer from reliable and current business information.
It should not invent:
- Prices
- Product features
- Delivery promises
- Legal claims
- Availability
- Policies
- Guarantees
Businesses should review chatbot conversations and update the information source when their services change.
Transparency
Visitors should understand that they are speaking with AI.
The chatbot should not pretend to be a human employee or use a false personal identity.
A simple introduction can explain:
- That the assistant is AI
- What it can help with
- What information it uses
- How to reach a person
Clear limitations
A chatbot should recognise when it cannot answer safely or accurately.
Instead of guessing, it should say that it does not have enough information and direct the visitor to the appropriate person or resource.
Human escalation
A trusted chatbot should not trap the visitor in an automated conversation.
Escalation options may include:
- Live chat
- A contact form
- Telephone support
- Appointment booking
- Support-ticket creation
Privacy and security
Businesses should collect only the information required for the conversation or intended action.
The chatbot should not encourage customers to provide passwords, full payment details or unnecessary sensitive information.
Consistent brand experience
A chatbot should use language that matches the company’s wider website and service standards.
A professional chatbot should feel like part of the business rather than a separate or generic tool.
Visible evidence
Links to official pages, policies and resources can help visitors verify important answers.
For example, a chatbot explaining a returns policy should be able to direct the customer to the complete published policy.
Fast and relevant answers
Speed is one of the main reasons users value chatbots, but fast answers are only helpful when they address the actual question.
A chatbot that responds immediately with irrelevant information will reduce trust.
User control
Visitors should be able to:
- End the conversation
- Correct information
- Ask for another option
- Decline marketing contact
- Reach a person
- Understand what happens to submitted data
Trustworthy chatbot checklist
Before publishing a business chatbot, check that it:
- Clearly identifies itself as AI
- Uses approved and current information
- Does not make unsupported claims
- Links to relevant website pages
- Protects personal data
- Avoids requesting unnecessary sensitive information
- Provides a human contact route
- Records unanswered questions for review
- Is tested with realistic customer wording
- Has clear boundaries around sensitive topics
- Is regularly updated
- Works properly on mobile devices
Rule-based chatbots vs AI chatbots
| Feature | Rule-based chatbot | AI chatbot |
|---|---|---|
| Conversation style | Buttons and fixed flows | More natural written questions |
| Flexibility | Limited | Can understand varied wording |
| Setup | Requires manually designed routes | Requires information sources and instructions |
| Predictability | High | Requires testing and safeguards |
| Best use | Simple structured processes | Questions, guidance and qualification |
| Maintenance | Flow updates | Knowledge, prompt and integration updates |
| Risk of invented answers | Very low | Possible without proper controls |
| Customer experience | Can feel restrictive | Can feel more natural |
A rule-based chatbot may be more trustworthy for a tightly controlled process such as selecting a department.
An AI chatbot may provide a better experience when users ask questions in many different ways.
Many effective business chatbots combine both approaches.
AI chatbot vs human customer support
AI chatbots and human employees have different strengths.
| AI chatbot | Human support |
|---|---|
| Available continuously | Usually limited to working hours |
| Responds immediately | May involve waiting |
| Handles repeated questions efficiently | Handles unusual and sensitive issues |
| Delivers consistent approved information | Applies judgement and empathy |
| Supports multiple conversations | Has limited simultaneous capacity |
| Requires clear knowledge and safeguards | Can interpret wider personal context |
| Can collect and organise information | Can negotiate and make exceptions |
The strongest customer-service model often uses both.
The chatbot provides immediate assistance and completes routine tasks. A person becomes involved when the issue is complex, sensitive or cannot be resolved confidently.
Why do people distrust AI chatbots?
Common reasons include:
- Previous inaccurate answers
- Being unable to reach a person
- Unclear use of personal data
- Chatbots pretending to be human
- Repetitive or irrelevant responses
- Fear of being misunderstood
- Concern that AI will make an important decision
- Lack of accountability when something goes wrong
Trust can be damaged quickly when a business uses a chatbot primarily as a barrier between customers and employees.
How businesses can increase chatbot trust
Start with a narrow purpose
A chatbot designed to answer every possible question is more likely to produce unreliable responses.
Begin with a clear purpose, such as:
- Answering service questions
- Capturing leads
- Booking appointments
- Supporting product onboarding
- Helping visitors find information
Use business-approved sources
Train or connect the chatbot to reliable information, including:
- Service pages
- Product details
- Policies
- Help articles
- Frequently asked questions
- Internal approved documents
Test real customer questions
Customers do not always use the same wording as the business.
Test misspellings, short questions, long descriptions and indirect phrases.
Define restricted topics
The chatbot should know when not to answer.
Restricted areas may include:
- Personal medical advice
- Legal conclusions
- Financial recommendations
- Internal confidential information
- Unsupported price promises
- Account-security details
Review conversations
Conversation reviews can reveal:
- Missing information
- Confusing answers
- New customer questions
- Broken integrations
- Opportunities to improve website content
Provide an obvious handover
The customer should not need to repeatedly type “human” before being offered another support route.
Design the interface properly
Trust is also influenced by visual design.
The chatbot should have:
- Clear introductory text
- Readable typography
- Accessible contrast
- Simple controls
- Mobile compatibility
- Clear privacy information
- A visible close button
Nertia’s website design and development service can help businesses integrate chatbots into a wider customer journey without allowing the interface to distract from important website content.
Should a chatbot use a human name or avatar?
A chatbot can have a name and visual identity, but it should not mislead visitors into thinking it is a real employee.
Safer approaches include names such as:
- Nertia AI Assistant
- Website Support Assistant
- Virtual Product Guide
- AI Help Assistant
A business may also combine a chatbot with a clearly labelled digital twin or AI avatar.
The avatar can make information more engaging, while the chatbot manages questions. The experience should still make it clear that the interaction is AI-generated.
Should small businesses use AI chatbots?
An AI chatbot can be particularly helpful for a small business when employees cannot monitor the website continuously.
It may be suitable when the business:
- Regularly misses out-of-hours enquiries
- Receives the same questions repeatedly
- Has several services that customers find difficult to compare
- Needs to qualify leads before a consultation
- Wants to reduce basic administrative work
- Has clear website content for the chatbot to use
A chatbot may be less suitable when the business has very little written information, every enquiry is completely unique or there is no process for following up captured leads.
How to choose an AI chatbot platform
When comparing chatbot tools, consider:
- Ease of building and updating
- Supported information sources
- Answer accuracy
- Control over chatbot instructions
- Design customisation
- Lead-capture features
- Human handover
- Analytics
- Integrations
- Data security
- User permissions
- Pricing
- Customer support
- Installation requirements
- Ability to remove or export data
Do not choose a platform only because it uses a recognisable language model.
The overall implementation determines whether the chatbot is useful and trustworthy.
Questions to ask a chatbot provider
Before selecting a platform, ask:
- What information does the chatbot use to answer questions?
- Can it be restricted to approved sources?
- How does it handle questions it cannot answer?
- Can visitors reach a human?
- Where is conversation data stored?
- Is customer data used to train external models?
- Can data be deleted?
- Can the chatbot match our branding?
- What analytics are available?
- How are integrations secured?
- Can team permissions be controlled?
- What happens if we cancel the service?
The future of AI chatbot adoption
AI chatbots are likely to become more closely integrated with websites, customer-service tools and internal business systems.
Future developments may include:
- More accurate answers based on live business data
- Better voice conversations
- Greater personalisation
- Improved human handovers
- Stronger identity verification
- More capable AI agents
- Better chatbot analytics
- More advanced multilingual support
- Greater regulation and governance
Trust will remain one of the most important factors.
Businesses that simply automate more conversations will not necessarily create better customer experiences. The strongest results will come from using AI where it is genuinely useful and retaining human involvement where it matters.
Build a chatbot your customers can trust
An AI chatbot should make it easier for customers to understand your services, find information and take the next step.
It should not create another barrier between your business and the people you serve.
Nertia’s AI Chatbot Maker helps businesses create customised chatbots for customer support, lead generation and website guidance without requiring a complicated development process.
You can control the chatbot’s information, conversation flow, appearance and installation so it feels like a natural part of your business.