GraceAI is a workflow-based AI Agent system designed to create a complete 'call center in a box' solution. This is a simulation of what a Conversational AI tool called GRACE AI can do: its capabilities, pros and cons, and a mini step-by-step on how to implement a simple call-center-in-a-box in about 2 hours.
Web-as-a-LLM (FAQs, how-to)
The system can be fed with text-centric web content (e.g., FAQs, How-To) hosted in your Intranet or public web.
Edit the KB's source files
The Knowledge Base app allows you to fine-tune and edit your text-based datasets (e.g., scripts, guides, streams of chat, news, transcripts, emails).
Control the (re)indexing of docs
The system can be fed with text-centric web content (e.g., FAQs, How-To) hosted in your Intranet or public web.
Setting up the architecture
The setup of the high-level components of the workflow enables system resources such as a pool of phone numbers, native and 3rd party integrations, logic of the workflow, among many other no-code conversational design elements.
Rich business logic interface
The possibilities are vast within this no-code, drag-and-drop interface. There are drop-down menus, diamonds for 'if-then-else' conditional logic, calls to APIs, in-line JSON capture/eval, passing of variables, etc.
Call logging and flow inspection
One of the most impressive features is the ability to debug the flow in real-time in a closed-loop, inspecting and adjusting the iteration and business logic.
Free native integrations
GRACE AI comes with a plethora of native—and free—connectors for Salesforce, email, HTTPS, SMS, Google Calendars, and more.
Native Salesforce integration
Tons of native (a.k.a. free) integrations with databases, Salesforce, email, HTTP requests, SMS, etc.
Adjust the rep's personality
The Conversational Rep's personality offers several categories: 'Efficient', 'Fluid', 'Casual', 'Professional', 'Succinct'. On the demo, Grace was programmed to be very efficient and repeat what the caller just said, for accuracy purposes.
