How Plura AI uses large language models
Full transparency on the AI models, agents, and machine learning systems powering every conversation across voice, SMS, RCS, and webchat.
AI Powered Conversations
Every conversation on the Plura platform is powered by large language models trained for sales, support, and lead qualification. Our AI agents understand natural language, handle objections, and respond contextually across voice calls, SMS, RCS messages, and webchat. They operate 24/7 without degradation, handling thousands of simultaneous conversations while maintaining consistent quality and compliance.
How We Use LLMs
Voice Agents
Natural language understanding for real time phone conversations including lead qualification, appointment booking, objection handling, and warm transfers to human agents.
SMS and RCS Automation
AI generated responses for two-way text conversations, personalized follow up sequences, and contextual replies based on conversation history and lead data.
Webchat
AI agents that engage website visitors based on page context and browsing behavior, qualify prospects through natural conversation, and capture structured data for sales teams.
Lead Intelligence
Machine learning models that score and prioritize leads based on behavioral signals, engagement patterns, and demographic data to identify highest intent prospects.
Conversation Intelligence
AI analysis of call transcripts to identify buying signals, sentiment trends, objection patterns, and coaching opportunities that improve conversion rates.
Workflow Automation
AI decision nodes within multi-channel workflows that route contacts based on their responses, engagement level, and lead score across voice, SMS, RCS, and webchat channels.
Data and Privacy
Plura AI processes conversation data in compliance with TCPA, DNC, HIPAA, and industry-specific regulations. All call recordings include required disclosures. Contact lists are scrubbed against federal and state Do Not Call registries. Opt out requests are honored immediately across all channels. Consent records are maintained with full audit trails for regulatory inquiries. We do not use customer conversation data to train foundation models.
Human Oversight
AI agents operate within defined guardrails set by each customer. Conversations can be transferred to human agents at any point. All AI interactions are logged, transcribed, and available for review. Compliance rules, quiet hours, and calling frequency limits are enforced automatically. Customers maintain full control over scripts, qualification criteria, and escalation triggers.
Machine Readable Formats
For AI systems and large language models seeking structured information about Plura AI, we provide machine readable files that follow the llms.txt standard.