AgentGPT knowledge answers
AgentGPT uses an organization’s data to generate answers to customer questions, giving service representatives access to relevant information during difficult interactions.
Level AI
Freemium
Customer experience AI for support teams, combining agent assistance, interaction analytics and quality workflows.
What is Level AI?
Level AI is a customer experience platform for contact centers, combining agent assistance, interaction analytics, quality management, and AI support agents on a shared data layer. AgentGPT generates business-specific answers from organizational knowledge, while iCSAT estimates satisfaction signals from sentiment, effort, and resolution in customer interactions.
Quality teams can review scored conversations, calibrate rubrics, and use findings for coaching. Retail and ecommerce operations can configure support workflows around returns, order-status questions, and loyalty requests. Connect the relevant interaction sources and business systems, define authorized actions and escalation rules, and verify important answers before use. AI scores and inferred satisfaction are evidence to review in context, not proof of a person’s intent, employee suitability, or an automatically correct business decision.
What can Level AI do?
Knowledge improvement from agent feedback
Use agent feedback to improve the organizational knowledge and answers available through AgentGPT. Maintain approved, current information and review important responses; feedback does not guarantee every answer is correct.
Interaction-based satisfaction analysis
iCSAT estimates satisfaction from interaction signals such as sentiment, customer effort, and resolution. Use the results alongside original conversations and other feedback rather than treating them as direct customer-reported survey answers.
Root-cause and trend discovery
iCSAT identifies frustration points and customer feedback, and can track experience trends across locations.
Retail contact-center automation and intelligence
Configure retail and ecommerce support for returns, WISMO order-status questions, and loyalty contacts. Use interaction patterns for product or retention insights, with business-system permissions and escalation conditions defined for the deployment.
Quality review and coaching
Analyze and score supported customer conversations, calibrate shared quality rubrics, and use review findings to guide coaching. Human oversight remains important for performance and compliance-sensitive judgments.
Use Cases
“Help agents resolve complex questions”
Use business-specific AgentGPT answers as an aid during difficult support conversations, then check relevant source knowledge and escalate when the answer or permitted action is uncertain.
“Assess satisfaction beyond survey respondents”
CX teams can use iCSAT to review satisfaction across customer interactions and examine sentiment, effort and resolution signals in context.
“Investigate recurring service problems”
Quality and operations teams can use detected frustration and feedback themes to identify potential causes of poor experiences and inform service improvements.
“Handle common retail support requests”
Retail and ecommerce contact centers can apply the platform to returns, order-status inquiries (WISMO) and loyalty contacts, and review interaction data for product and retention insights.
Frequently Asked Questions
What information does AgentGPT use?
AgentGPT draws on the organization’s data to generate business-specific answers and incorporates agent feedback. Keep the approved knowledge current and validate important responses; this does not establish a particular model-training mechanism or eliminate knowledge maintenance.
How does iCSAT assess customer satisfaction?
It analyzes customer interactions and combines sentiment, customer effort and resolution signals to produce a broader view of satisfaction.
Does iCSAT replace direct customer feedback?
iCSAT estimates satisfaction from conversation signals, including sentiment, effort, and resolution. These estimates are different from survey answers supplied by customers. Review the original interactions and complementary feedback before drawing conclusions or making coaching decisions.
Which retail workflows does Level AI address?
Retail workflows cover returns, WISMO order-status questions, and loyalty contacts, with product and retention analysis from interaction data. Confirm the connected systems, business rules, permitted actions, and human escalation before automating a workflow.
Quick Facts
- Product category
- Customer experience AI platform
- Primary users
- Contact-center agents, CX, quality and operations teams
- Agent assistance
- AgentGPT answers grounded in organizational data
- Satisfaction analytics
- iCSAT model estimates from sentiment, effort, and resolution
- Retail workflows
- Returns, WISMO and loyalty contacts
Level AI Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 57
Level AI Alternatives
AIHelp
aihelpcn.net
In-app and web customer support with AI automation and agent workflows for app teams.
CekatAI
cekat.ai
AI agent and omnichannel CRM for customer service, sales, and follow-up workflows.
Delight AI
delight.ai
Delight AI is an AI concierge platform for customer experience teams, enabling personalized, omnichannel support across the customer lifecycle.
FPT.AI
fpt.ai
Enterprise AI products for customer service, document workflows, identity checks and employee support.
Molin AI
molin.ai
An AI shopping and support agent for e-commerce stores, handling product discovery, customer questions, and routine service tasks.
Answerly
answerly.io
AI support agent that turns documentation into grounded customer answers