Agents-internal

About this Agent

The Duplicate Invoice Detection Agent is designed to streamline the accounts payable process by identifying and flagging potential duplicate invoices. It efficiently compares key invoice details such as invoice numbers, vendor information, dates, and amounts to ensure accuracy and prevent fraudulent or erroneous payments. This AI worker enhances financial integrity and accountability, reducing the risk of duplicate payments and improving the overall efficiency of corporate accounting operations.

Accuracy
TBD

Speed
TBD

Input Data Set

Sample of data set required for Duplicate Invoice Detection Agent:

Invoices

Invoice ID	Invoice Number	Invoice Date	Vendor Name	Amount	Currency
INV1001	INV-691	2024-09-10	Grandview Builders	9503	USD
INV1002	INV-683	2024-09-18	Liberty Consulting	6524	USD
INV1003	INV-733	2024-08-31	Summit Financial	9347	USD
INV1004	INV-893	2024-08-28	Sunrise Foods	3927	USD
INV1005	INV-255	2024-10-02	Sunrise Foods	1168	USD
INV1006	INV-657	2024-09-15	Liberty Consulting	7345	USD
INV1007	INV-168	2024-10-02	GlobalTech Solutions	2417	USD
INV1008	INV-287	2024-10-04	Liberty Consulting	9011	USD
INV1009	INV-621	2024-08-18	Liberty Consulting	7955	USD
INV1010	INV-409	2024-09-02	BlueSky Innovations	1001	USD
INV1011	INV-354	2024-08-26	Liberty Consulting	3661	USD
INV1012	INV-347	2024-09-15	Evergreen Landscaping	8562	USD
INV1013	INV-819	2024-09-09	BlueSky Innovations	1649	USD
INV1014	INV-855	2024-10-09	Summit Financial	4909	USD
INV1015	INV-623	2024-09-05	Summit Financial	2743	USD
INV1016	INV-238	2024-08-31	Liberty Consulting	4183	USD
INV1017	INV-370	2024-10-08	Summit Financial	9649	USD
INV1018	INV-801	2024-09-16	BlueSky Innovations	8177	USD
INV1019	INV-249	2024-09-06	Grandview Builders	5745	USD
INV1020	INV-753	2024-08-27	Grandview Builders	5818	USD
INV1021	INV-691	2024-09-05	BlueSky Innovations	2743	USD
INV1022	INV-683	2024-09-18	Summit Financial	6524	USD
INV1023	INV-409	2024-09-02	GlobalTech Solutions	1001	USD

Deliverable Example

Sample output delivered by the Duplicate Invoice Detection Agent:

Original Invoice ID	Duplicate Invoice ID	Reason for Flagging	Original Invoice Details	Duplicate Invoice Details
INV1001	INV1021	Duplicate Invoice Number	Grandview Builders	BlueSky Innovations
INV1002	INV1022	Duplicate Invoice Number	Liberty Consulting	Summit Financial
INV1010	INV1023	Duplicate Invoice Number	BlueSky Innovations	GlobalTech Solutions
INV1015	INV1021	Same Vendor and Amount	Summit Financial	BlueSky Innovations

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.

Duplicate Invoice Detection Agent

About this Agent

Input Data Set

Deliverable Example

Company

Product

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