Agents-internal

About this Agent

The Client Payment Scheduling Agent is an AI-powered digital assistant designed to streamline the payment scheduling process for accounts receivable departments. By analyzing payment terms, cash flow forecasts, and client payment histories, this intelligent agent automatically suggests optimal payment schedules for clients. This ensures timely payments, improves cash flow management, and enhances client relationships by offering personalized payment solutions.

Accuracy
TBD

Speed
TBD

Input Data Set

Sample of data set required for Client Payment Scheduling Agent:

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Client ID	Payment Term (Days)	Contract Start Date	Contract End Date
1001	30	2023-01-01	2024-01-01
1002	45	2022-07-15	2023-07-15
1003	60	2023-03-10	2024-03-10
1004	30	2023-05-25	2024-05-25

Deliverable Example

Sample output delivered by the Client Payment Scheduling Agent:

Client ID	Next Payment Due Date	Suggested Payment Amount	Payment Status
1001	2024-11-30	$5	Upcoming
1002	2024-08-15	$3	Paid
1003	2024-10-30	$6	Upcoming
1004	2024-10-30	$3	Upcoming

ZBrain credits and their usage

A credit is a unit of usage on ZBrain. Credits are consumed whenever you perform actions such as embedding documents or querying an app. Here’s how credits are utilized:

Document Embedding:

When you upload a document, it is processed and embedded to create a searchable vector representation. This step consumes credits based on the size of the document and the embedding model used.

Input Processing:

When you ask a question, the relevant context is retrieved from the embeddings and processed by the Large Language Model (LLM). This step incurs a credit cost based on the model and the number of input tokens.

Generating Output

The LLM then generates a response based on the processed input, consuming additional credits based on the number of output tokens.

The cost in credits for various models and processes is detailed below:

Models and Credit Consumption:

Model	Input Cost	Output Cost
GPT-4o	2,500 credits / 1M tokens	7,500 credits / 1M tokens
GPT-4	15,000 credits / 1M tokens	30,000 credits / 1M tokens
GPT-4-32k	30,000 credits / 1M tokens	60,000 credits / 1M tokens
GPT-3.5 Turbo	250 credits / 1M tokens	750 credits / 1M tokens

Embedding Models:

Model	Input Cost
text-embedding-3-small	20 credits / 1M tokens
text-embedding-3-large	130 credits / 1M tokens
ada v2	100 credits / 1M tokens

When you create a knowledge base or query an app, credits are deducted based on the embedding, input, and output token usage. This ensures you only pay for what you use while leveraging the full power of advanced AI models.

Client Payment Scheduling Agent

About this Agent

Input Data Set

Deliverable Example

Company

Product

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