AI Agent Use Cases

Classify and prioritize tickets so that issues are routed to the right team quickly, to improve resolution times and customer satisfaction.

Reduce customer churn to protect recurring revenue and increase customer lifetime value.

Combine product documentation and past cases to generate support articles for customers, improving knowledge coverage.

Provide solutions to common customer issues, with the goal of resolving problems without agent involvement.

Concise summaries for customer service representatives, and suggested drafts for customer responses based on case history.

Once a ticket is resolved, an agent reaches out with a message matching the customer’s communication style to verify that the solution worked.

Provide accurate, timely forecasts to guide business planning, optimize inventory and resources, and support data-driven decisionmaking.

Monitor outstanding receivables to improve cash flow, reduce credit risk, and prioritize collections.

Ensure supply continuity and financial accuracy by automating 3-way match and safeguarding supplier relationships.

Prevent downstream process failures and reduce risk by automating the detection of incomplete, invalid, or anomalous transactions.

Ensure accurate, complete, and validated Accounts Payable data transfer from ERP to human capital management (HCM) software.

Strengthen regulatory and compliance confidence by automatically validating that all transaction audit trails are properly tracked.

Automate manual quoting processes, enabling the sales team to respond to customer inquiries in minutes instead of weeks.

Automate inventory record alignment between warehouse management (WMS) and enterprise resource planning (ERP) systems.

Streamline order entry to accelerate order processing and improve accuracy, enabling faster revenue realization.

Monitor project velocity in real time and provide proactive recommendations to course-correct before delays occur.

Accelerate compliant EDI vendor onboarding and improve data accuracy to enable seamless electronic transactions.

Automate dynamic pricing decisions based on real-time material costs, external signals, and business rules.

Send marketers and sellers alerts about changing engagement and behavior trends from lead and target accounts.

Speed up the B2B sales cycle by automating lead qualification and personalized follow-up messaging.

When new leads are added to your CRM, an agent checks LinkedIn and news services for recent mentions of their company for richer outreach.

Agents use data from deal notes and meeting tools to generate a briefing document that streamlines handoff from an SDR to Account Executive.

An AI Agent processes a lead call transcript to generate a meeting follow-up message, including action items mentioned during the conversation.

A CRM agent monitors open pipeline to highlight red flags, such as negative sentiment in recent emails, a deal’s champion leaving the company, or no meetings scheduled.

Reduce time-to-fill and time-to-hire by better matching candidates to job requirements and enhancing recruiter productivity.

Accelerate payroll processing while improving time tracking accuracy and reducing approval delays.

Get new hires productive faster by automating onboarding tasks across HR, IT, facilities, and training systems.

An agent trained on HR policies and documentation provides an easy-to-use chat interface for employees, reducing HR ticket workload.

An agent reviews upcoming compliance needs like license renewal and, based on known timelines, prompts employees to begin the process to avoid lapses in credentials.

Agents analyze an employee’s skills in Workday and the nature of their work in task management tools, scanning internal job postings for relevant opportunities.

Enhance operational resilience and efficiency by detecting issues early, resolving root causes quickly, and preventing future failures.

Ensure that data files are accurate, consistent, and compliant with expected formats to improve analytics and downstream reliability.

Proactively detect, analyze, and mitigate anomalies, threats, and process inefficiencies using intelligent automation.

An agent monitors approved IT purchases against internal credit card expenses to uncover unauthorized software license purchases requiring IT governance.

When a new critical vulnerability is identified, this agent scans your hardware and integrations, creating high-priority Jira tickets for required patches. 

When an observability tool detects an issue, the agent can analyze server logs to identify the source of the issue and by connecting with AWS/Azure, act to clear the cache or restart the server.