AI Agent Lifecycle
Understand every stage of your custom AI Voice Agent's lifecycle, from initial requirement to continuous optimization.
Lifecycle Stages
Requirement & Business Analysis
You submit a detailed requirement. Our AI Solutions Team analyzes the business logic, target audience, and desired outcomes to scope the project.
Prompt & Workflow Design
We engineer the system prompts to give the agent its persona and establish the conversational state machine (workflow design) so it can handle interruptions and specific intents.
Knowledge Configuration
Your uploaded documents are processed into vector embeddings. We test the agent's ability to retrieve and synthesize accurate answers from this knowledge base.
Integration Setup
Webhooks and API connections are established so the agent can read from or write to your CRM during a live call.
Testing & QA
The agent is rigorously tested internally for edge cases, hallucination checks, and latency. You are then provided a test number for User Acceptance Testing (UAT).
Deployment & Monitoring
The agent is assigned a production number and goes live. We monitor the first batches of calls to ensure stability.
Continuous Improvement
Call transcripts are regularly audited. The knowledge base and prompts are iteratively updated to handle new customer objections or queries.