CX and Operations, Automated.

CX and Operations, Automated.

Let Callea handle intelligent customer and operational automation across your business.

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AI Agent Procedure

We build enterprise-grade AI agents that answer every call and message and automate operational work through natural, intent-aware, multilingual conversations - improving CX while reducing costs.

Step 1

Experience Design

We assess your flows to design AI solutions that automate conversations and improve efficiency.

Analyzing Conversation

Agent Check

Process check

Response Rates

Eval Framework

Intent Detected

Analyzing Conversation

Agent Check

Process check

Response Rates

Eval Framework

Intent Detected

Step 3

Agent Orchestration

Our team builds intelligent agents tailored to your call flows and business processes.

  • class AIAgentController:
    def __init__(self, confidence_threshold): self.confidence_threshold = confidence_threshold self.agent_status = "idle" self.active_intent = None def evaluate_intent(self, intent_score, detected_intent): """ Decides whether the agent should activate based on intent confidence. """ if intent_score >= self.confidence_threshold: self.agent_status = "active" self.active_intent = detected_intent return True else: return False def generate_prompt(self, user_message): """ Builds the system prompt that will be sent to the AI agent. """ if self.agent_status != "active": return "Agent is not active yet." prompt = f"""
    SYSTEM PROMPT
    You are an enterprise-grade AI voice agent.
    Intent: {self.active_intent}
    User Message: "{user_message}"
    Your Responsibilities:
    • Respond naturally and professionally.
    • Follow conversation guardrails.
    • Collect required information for this intent.
    • Ask only one question at a time.
    • Escalate if confidence drops or user is confused.
    • Never hallucinate unknown data.
    Tone:
    • Friendly
    • Calm
    • Human-like
    • Efficient
    Output Format:
    • Short conversational response.
    • End with a clear next question.
      """
      return prompt
      def get_status(self):
      return f"Agent Status: {self.agent_status}, Active Intent: {self.active_intent}"
  • class AIAgentController:
    def __init__(self, confidence_threshold): self.confidence_threshold = confidence_threshold self.agent_status = "idle" self.active_intent = None def evaluate_intent(self, intent_score, detected_intent): """ Decides whether the agent should activate based on intent confidence. """ if intent_score >= self.confidence_threshold: self.agent_status = "active" self.active_intent = detected_intent return True else: return False def generate_prompt(self, user_message): """ Builds the system prompt that will be sent to the AI agent. """ if self.agent_status != "active": return "Agent is not active yet." prompt = f"""
    SYSTEM PROMPT
    You are an enterprise-grade AI voice agent.
    Intent: {self.active_intent}
    User Message: "{user_message}"
    Your Responsibilities:
    • Respond naturally and professionally.
    • Follow conversation guardrails.
    • Collect required information for this intent.
    • Ask only one question at a time.
    • Escalate if confidence drops or user is confused.
    • Never hallucinate unknown data.
    Tone:
    • Friendly
    • Calm
    • Human-like
    • Efficient
    Output Format:
    • Short conversational response.
    • End with a clear next question.
      """
      return prompt
      def get_status(self):
      return f"Agent Status: {self.agent_status}, Active Intent: {self.active_intent}"
  • class AIAgentController:
    def __init__(self, confidence_threshold): self.confidence_threshold = confidence_threshold self.agent_status = "idle" self.active_intent = None def evaluate_intent(self, intent_score, detected_intent): """ Decides whether the agent should activate based on intent confidence. """ if intent_score >= self.confidence_threshold: self.agent_status = "active" self.active_intent = detected_intent return True else: return False def generate_prompt(self, user_message): """ Builds the system prompt that will be sent to the AI agent. """ if self.agent_status != "active": return "Agent is not active yet." prompt = f"""
    SYSTEM PROMPT
    You are an enterprise-grade AI voice agent.
    Intent: {self.active_intent}
    User Message: "{user_message}"
    Your Responsibilities:
    • Respond naturally and professionally.
    • Follow conversation guardrails.
    • Collect required information for this intent.
    • Ask only one question at a time.
    • Escalate if confidence drops or user is confused.
    • Never hallucinate unknown data.
    Tone:
    • Friendly
    • Calm
    • Human-like
    • Efficient
    Output Format:
    • Short conversational response.
    • End with a clear next question.
      """
      return prompt
      def get_status(self):
      return f"Agent Status: {self.agent_status}, Active Intent: {self.active_intent}"
  • class AIAgentController:
    def __init__(self, confidence_threshold): self.confidence_threshold = confidence_threshold self.agent_status = "idle" self.active_intent = None def evaluate_intent(self, intent_score, detected_intent): """ Decides whether the agent should activate based on intent confidence. """ if intent_score >= self.confidence_threshold: self.agent_status = "active" self.active_intent = detected_intent return True else: return False def generate_prompt(self, user_message): """ Builds the system prompt that will be sent to the AI agent. """ if self.agent_status != "active": return "Agent is not active yet." prompt = f"""
    SYSTEM PROMPT
    You are an enterprise-grade AI voice agent.
    Intent: {self.active_intent}
    User Message: "{user_message}"
    Your Responsibilities:
    • Respond naturally and professionally.
    • Follow conversation guardrails.
    • Collect required information for this intent.
    • Ask only one question at a time.
    • Escalate if confidence drops or user is confused.
    • Never hallucinate unknown data.
    Tone:
    • Friendly
    • Calm
    • Human-like
    • Efficient
    Output Format:
    • Short conversational response.
    • End with a clear next question.
      """
      return prompt
      def get_status(self):
      return f"Agent Status: {self.agent_status}, Active Intent: {self.active_intent}"

Step 2

System Integration Connectivity

Integration Connectivity

We securely integrate our AI Agents into your existing telephony and backend systems.

Our solution

Your stack

Our solution

Your stack

Step 4

Agent Monitoring & Optimization

We fine-tune conversations, learn from every call, and continuously improve automation.

Agent Performance

Performance updates

System Settings

Update available

Data-Driven Insights

Topics collected

Agent Performance

Performance updates

System Settings

Update available

Data-Driven Insights

Topics collected

"Callea’s team understood our workflows immediately - from reservations to customer questions. The voice agent sounds incredibly natural, and some of our callers have genuinely thought they were speaking with one of our sales reps"

Brandy M. (Moving & Storage Company from Southern California)

"Callea’s team understood our workflows immediately - from reservations to customer questions. The voice agent sounds incredibly natural, and some of our callers have genuinely thought they were speaking with one of our sales reps"

Brandy M. (Moving & Storage Company from Southern California)

The Key Benefits of Callea for Your Business Growth

Discover how AI automation enhances efficiency, reduces costs, and drives business growth with smarter, faster processes.

Increased Productivity

AI Agents automate repetitive inquiries, allowing human agents to focus on complex, high-value interactions.

Increased Productivity

AI Agents automate repetitive inquiries, allowing human agents to focus on complex, high-value interactions.

Increased Productivity

AI Agents automate repetitive inquiries, allowing human agents to focus on complex, high-value interactions.

Better Customer Experience

Personalized AI interactions improve response times, customer engagement, and overall satisfaction.

Better Customer Experience

Personalized AI interactions improve response times, customer engagement, and overall satisfaction.

Better Customer Experience

Personalized AI interactions improve response times, customer engagement, and overall satisfaction.

24/7 Availability

AI Agents operate around the clock, ensuring seamless support and execution without downtime.

24/7 Availability

AI Agents operate around the clock, ensuring seamless support and execution without downtime.

24/7 Availability

AI Agents operate around the clock, ensuring seamless support and execution without downtime.

Cost Reduction

Conversations and operational processes at a fraction of the cost of human representatives.

Cost Reduction

Conversations and operational processes at a fraction of the cost of human representatives.

Cost Reduction

Conversations and operational processes at a fraction of the cost of human representatives.

Data-Driven Insights

Conversation analytics across voice and chat reveal customer intent, trends, and performance metrics.

Data-Driven Insights

Conversation analytics across voice and chat reveal customer intent, trends, and performance metrics.

Data-Driven Insights

Conversation analytics across voice and chat reveal customer intent, trends, and performance metrics.

Scalability & Growth

Handle high-volume conversations simultaneously, enabling businesses to scale without adding headcount.

Scalability & Growth

Handle high-volume conversations simultaneously, enabling businesses to scale without adding headcount.

Scalability & Growth

Handle high-volume conversations simultaneously, enabling businesses to scale without adding headcount.

95%

95%

Containment Rate

Containment

80%

80%

Cost Reduction

Cost Reduction

100%

100%

Availibility

Availibility

Book a Personalized Demo

Book a Personalized Demo