Ticket Creation Agent

About the Agent

The Ticket Creation Agent automates the process of generating support tickets for customer queries or complaints. Using GenAI, this agent extracts key information from incoming messages and creates detailed tickets in the support system, ensuring accurate tracking of each query. By automating ticket creation, this agent reduces response times, improves customer service efficiency, and ensures that each issue is properly documented and assigned to the appropriate support team member for prompt resolution.

Accuracy
TBD

Speed
TBD

Input Data Set

Sample of data set required for Ticket Creation Agent:

Queries

query_id	customer_name	contact	query_content	timestamp
QRY2001	Alice Brown	alice.brown@gmail.com	Experiencing internet connectivity issues in building A.	4/10/2024 8:12
QRY2002	Bob Johnson	bob.johnson@gmail.com	The HVAC system dashboard is showing an error code 403.	4/10/2024 9:23
QRY2003	Clara Edwards	clara.edwards@gmail.com	Request to reset access to the employee portal for account management.	4/10/2024 10:15
QRY2004	Daniel Lee	daniel.lee@gmail.com	The power backup system didn't activate during the last outage.	4/10/2024 11:05
QRY2005	Elena Garcia	elena.garcia@gmail.com	Need help with scheduling maintenance for the on-site generators.	4/10/2024 12:50
QRY2006	Frank Harris	frank.harris@gmail.com	I have received a phishing email; need assistance to report it.	4/10/2024 13:30
QRY2007	Grace Kim	grace.kim@gmail.com	High latency issue reported on the internal network affecting VOIP calls.	4/10/2024 14:10
QRY2008	Henry Lewis	henry.lewis@gmail.com	The UPS system in data center B needs an immediate inspection.	4/10/2024 15:25
QRY2009	Irene Torres	irene.torres@gmail.com	Requesting access to utilities monitoring dashboard for compliance checks.	4/10/2024 16:40
QRY2010	Jack Wilson	jack.wilson@gmail.com	Frequent power fluctuations noticed in building C; request inspection.	4/10/2024 17:55

Deliverable Example

Sample output delivered by the Ticket Creation Agent:

ticket_id	query_id	customer_name	issue_summary	priority	assigned_department	status
TCKT3001	QRY2001	Alice Brown	Connectivity issues in building A	High	Network Infrastructure	Open
TCKT3002	QRY2002	Bob Johnson	Error code 403 on HVAC dashboard	Medium	Environmental Systems	Open
TCKT3003	QRY2003	Clara Edwards	Reset access to employee portal	Low	User Access Management	Open
TCKT3004	QRY2004	Daniel Lee	Backup power system failure	High	Power and Backup Systems	Open
TCKT3005	QRY2005	Elena Garcia	Assistance with generator maintenance	Low	Power and Backup Systems	Open
TCKT3006	QRY2006	Frank Harris	Phishing email report	High	Cybersecurity	Open
TCKT3007	QRY2007	Grace Kim	High latency affecting VOIP	Medium	Network Infrastructure	Open
TCKT3008	QRY2008	Henry Lewis	Inspection needed for UPS system	High	Power and Backup Systems	Open
TCKT3009	QRY2009	Irene Torres	Access request to monitoring dashboard	Medium	User Access Management	Open
TCKT3010	QRY2010	Jack Wilson	Power fluctuations in building C	High	Power and Backup Systems	Open

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.

Ticket Creation Agent

About the Agent

Input Data Set

Deliverable Example

Company

Product

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