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Responsible AI

Responsible AI Built for Real Customer Conversations.

ChatBeacon combines AI agents with live chat so organizations can use automation without giving up control of their customer experience. Teams can define how AI agents respond, what information they may use, when human oversight is required, and when a conversation should be escalated.

AI guardrails and configurable controls support those decisions. Each customer determines how the platform is configured, governed, and used within its organization.

AI should improve customer conversations without removing accountability or appropriate human oversight. This page explains ChatBeacon’s approach to AI agent governance, the controls available to customers, and the responsibilities each customer retains.

Customer control

Responsible AI is not one-size-fits-all. ChatBeacon gives each customer direct control over where AI operates, the approved information it can use, the AI guardrails that shape its behavior, how it communicates, and when conversations transfer to a live agent.

Control Where AI Operates
Select the websites, channels, customer journeys, and audiences where AI-assisted conversations are available
Approve What AI Can Do
Enable only the AI capabilities that align with approved use cases, operational workflows, and customer experience requirements.
Define What Informs Every Answer
Establish the approved instructions, knowledge sources, and organizational content used to ground AI responses.
Set AI Guardrails
Define what the AI may address, how it should respond, which actions are permitted, and where it must stop or defer
Determine When Live Agents Take Over
Establish the conditions for controlled escalation from an AI-assisted conversation to an authorized live agent.
Restrict Who Can Make Changes
Limit access to AI configuration, instructions, knowledge sources, and administrative controls to authorized users.

Together, these controls help organizations scale AI while maintaining accountability, human oversight, and the judgment required for complex customer conversations. Available capabilities vary by enabled features, deployment model, and configuration.

Transparency

Trust begins with clarity. When AI participates in a customer conversation, that involvement should be communicated in language the audience can readily understand. Organizations using ChatBeacon are responsible for providing appropriate disclosure when AI features are enabled.

ChatBeacon supports both AI-assisted and live chat experiences, but AI disclosure requirements vary by use case, audience, industry, and jurisdiction. Each customer is responsible for determining and providing the appropriate notices. Enabling ChatBeacon AI features does not, by itself, satisfy an organization’s legal or regulatory disclosure obligations.

Human oversight and live-agent handoff

Responsible automation requires defined guardrails and a reliable path to a live agent. ChatBeacon supports controlled escalation through customer-configured triggers for situations such as a direct request for human assistance, a low-confidence response, a conversation that reaches an approved boundary, or a defined workflow condition. When a handoff occurs, the conversation transcript and available customer context move with it so the live agent can continue without requiring the customer to start over.

Controls Built Into ChatBeacon

  • Escalation when a conversation moves beyond the AI’s approved scope
  • Configurable triggers for human requests, low-confidence responses, defined topics, and workflow conditions
  • Routing to an authorized live agent or queue based on customer-defined rules
  • Transfer of the conversation transcript, AI interaction history, and available customer context with the escalation

Decisions Owned by the Customer

  • Define the AI’s guardrails, confidence thresholds, escalation triggers, and handoff criteria
  • Configure routing rules, queue priorities, agent assignments, and coverage hours
  • Determine which users may receive escalations or administer handoff settings
  • Establish response procedures, review requirements, and accountability for live agent actions

ChatBeacon provides the controls, routing, and conversation continuity to support AI-to-live-agent handoff. Each customer remains responsible for configuring those controls, staffing its live channels, establishing response expectations, and overseeing the actions of its authorized users.

Knowledge and AI-generated responses

ChatBeacon uses customer-approved instructions, knowledge sources, and organizational content to help generate relevant responses. Each customer determines what information the AI can draw on.

AI-generated content may be incomplete, outdated, or incorrect. For legal, medical, financial, emergency, or other high-impact use cases, customers should establish appropriate review, escalation, and human oversight. AI-generated responses should not replace qualified professional judgment where it is required.

Customers remain responsible for reviewing their knowledge sources, instructions, workflows, and chosen use cases and for keeping the information the AI uses accurate and current over time.

Privacy and data protection

When AI features are enabled, ChatBeacon may process conversation content, prompts, customer-approved knowledge sources, and generated responses to provide the configured functionality.

SmartMax Software, Inc. handles customer information in accordance with applicable agreements and documented privacy practices. For details about data handling, roles, responsibilities, and privacy requests, see the Privacy and Data Protection.

Testing, monitoring, and improvement

SmartMax evaluates ChatBeacon as part of normal product development and support operations. Customers remain responsible for testing configured use cases, monitoring outcomes, reviewing knowledge sources and instructions, and confirming that AI guardrails, policy enforcement, and escalation rules remain aligned with their requirements.

Available testing, review, logging, and quality-control capabilities vary by release, deployment model, and configuration, and are documented for the applicable product environment.

Responsible customer use

Each organization using ChatBeacon determines how AI is configured and used and retains responsibility for those decisions.

Configuration and content

  • Selecting appropriate AI use cases
  • Reviewing AI-generated content where appropriate
  • Maintaining accurate knowledge sources
  • Providing appropriate notices to individuals
  • Configuring escalation to live agents

Obligations and limits

  • Protecting sensitive information
  • Complying with the laws and industry requirements that apply to the organization
  • Avoiding prohibited, deceptive, discriminatory, unsafe, or unlawful uses

Using ChatBeacon does not, by itself, satisfy an organization’s AI, privacy, or industry-specific compliance obligations. Compliance depends on how the organization configures and uses the platform and on the policies and procedures it maintains.

Our continuing commitment

SmartMax will continue evaluating its AI practices as technology, customer expectations, and regulatory requirements evolve. This page is maintained as the authoritative public resource for ChatBeacon’s approach to responsible AI governance and will be updated when material customer-facing practices change.

Reviewing ChatBeacon's AI approach?

Request the AI governance and deployment information that applies to your environment. Our team can walk you through available controls, live-agent handoff behavior, and relevant data flows.