AgileSoftLabs Client Agent Deployment (Delivery)

AgileSoftLabs Client Agent Deployment (Delivery)

1. 01

   Open the AgileSoftLabs project dashboard and create a new project for the client engagement.

   Select the client's industry vertical (healthcare, fintech, or e-commerce) to preload relevant compliance and workflow templates.

2. 02

   In the project settings, define the fixed scope and outcome-based pricing terms.

   Reference the Custom Build plan starting at $4K per scoped module, and set the expected launch window to 60-90 days.

3. 03

   Configure the AI agent's core workflow using the LLM-assisted development environment.

   Choose the base model (GPT-4o, Claude 3.5, or Gemini 1.5) and specify the agent's function: support, sales, HR, or ops automation.

4. 04

   Upload client-specific training data and set up the knowledge base.

   Include service catalogs, business hours, and FAQ documents to ensure the agent responds accurately to client inquiries.

5. 05

   Integrate the agent with the client's existing systems via API endpoints.

   Use AgileSoftLabs's API documentation to connect CRM, helpdesk, or internal databases, ensuring secure data flow.

6. 06

   Run a sandbox test of the agent's workflows and review edge cases.

   Simulate common user interactions and verify that the agent escalates complex issues to human staff when needed.

7. 07

   Deploy the agent to production and schedule a post-launch review.

   Monitor performance metrics and prepare a one-page summary report for the client, as per the SMB AI Starter offer's monthly deliverable.