Web and Text Chatbots

Launch an AI chatbot to answer questions and provide self-help information.

Platform Overview

Help clients find answers to common questions and provide self-help information.

Use a multi-modal chatbot via text, voice, email, and push notifications.

Automate self-service check-ins for visitors and clients.

Answer questions based on your knowledge base.

Customize responses with the ability to add and edit content.

Accessible in the top 100 languages.

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Demo of Web and Text Chatbots

Choose your LLM provider

Use OpenAI, Anthropic, Google, Azure, or a custom LLM provider.

Scrub personal information

Automatically remove personal information before sending to the LLM.

Prevent Spam and Abuse

Intelligent spam filters help mitigate spam and abuse.

Audit Logs

Track all chatbot interactions and responses.

Upload Self-help Content

Add your website and upload content files to train the chatbot.

Customize Responses

Add and edit content to customize responses.

Self Service Chatbots

How AI Chatbots Augment Your Staff

Forward incoming questions from text, voice, email, and push notifications in real time to a chatbot.

The trained chatbot answers questions based on your knowledge base.

Provide personalized context based on the client's case and language preferences.

If the chatbot cannot answer the question, forward it to a human staff member.

The chatbot can also create tickets, schedule appointments, and more.

Install on Your Website

Install the chatbot on your website, mobile app, social media, and client portals.

Streamline and increase accessibility to your services.

Embed the chatbot with a single line of code.

Use a custom domain or subdomain.

Chatbots are easily installed on your website

FAQs

Frequently Asked Questions

What information does the chatbot receive from users?
The chatbot receives input provided by users during interactions, such as text-based questions, case details, or specific requests for information. This data is processed temporarily by the underlying LLM to generate a response and is not stored or retained.
What type of information does the chatbot provide to users?
The chatbot provides responses generated by leading LLM providers based on its configuration and guardrails. These responses are tailored to user input but constrained to align with approved content and policies defined during implementation.
How is chatbot usage monitored and tracked?
Chatbot usage is monitored through anonymized interaction logs that capture query types, response times, and success rates. These logs help identify trends, ensure accountability, and improve user experience while adhering to data privacy guidelines.
What happens if the chatbot cannot provide an answer?
If the chatbot cannot provide an answer, it will notify the user with a default message and suggest alternative options, such as reaching out to customer support or referencing external resources.
What if the chatbot provides an incorrect response?
If the chatbot provides an incorrect response, users can flag it for review. The issue will be evaluated, and the configuration or guidelines for the LLM can be adjusted to improve future responses.
What safeguards and guidelines are in place to ensure the chatbot's accuracy and reliability?
The chatbot uses guardrails, including pre-defined prompts, context limits, and approved response guidelines, to ensure accuracy and reliability. Regular reviews of interaction logs and updates to the configuration ensure the chatbot stays aligned with agency policies.
Is it possible for users to test the chatbot before implementation?
Yes, agencies can test the chatbot in a controlled environment to simulate real-world scenarios. Testing ensures the chatbot’s responses align with organizational requirements before full deployment.
Can the chatbot handle multi-lingual communication for diverse populations?
Yes, the chatbot leverages multi-lingual capabilities provided by the underlying LLMs. Language support depends on the LLM provider's capabilities and can be extended for diverse populations.
Does the chatbot work across multiple communication channels, such as SMS, email, and the web?
Yes, the chatbot is omni-channel, seamlessly integrating with SMS, email, web portals, and other communication platforms as configured by the agency.
Can the chatbot integrate with existing government systems or workflows?
Yes, the chatbot can be configured to interface with existing systems or workflows via APIs, enabling real-time access to data and improved operational efficiency.
How does the chatbot manage sensitive or confidential information?
The chatbot is designed to avoid storing sensitive or confidential information. Any data processed by the LLM is encrypted during transmission, and responses are governed by strict configuration rules to prevent unauthorized disclosures.
Are chatbot interactions logged for auditing and transparency purposes?
Yes, anonymized interaction logs are maintained for auditing, transparency, and performance evaluation. Logs do not contain personally identifiable information unless explicitly enabled by the agency under strict compliance.
How do users track chatbot performance metrics?
Users can track chatbot performance through detailed reports and data dashboards. These tools provide insights into usage patterns, response accuracy, and areas for improvement.
What customization options are available to align the chatbot with specific agency needs?
The chatbot’s configuration can be customized to define specific prompts, workflows, and integration points that meet agency requirements. It can also reflect the agency’s branding and tone.
How scalable is the chatbot for high-traffic scenarios or large populations?
The chatbot uses scalable LLM infrastructure that can handle high volumes of simultaneous interactions, ensuring reliable performance even during peak demand.
Does the chatbot offer accessibility features for users with disabilities?
Yes, the chatbot complies with accessibility standards, such as WCAG, to ensure inclusivity. It supports screen readers, keyboard navigation, and other assistive technologies to accommodate users with disabilities.
What support or training is available for government staff to deploy and manage the chatbot?
Comprehensive support includes deployment guidance, user documentation, and ongoing updates to ensure government staff can manage the chatbot effectively.

Why us?

Unlike mass marketing solutions like Twilio, we help justice agencies with a complete communications solution that will help save your staff time and increase access to justice.

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