Customer Support Resolution Accelerator
Shift from "Deflecting Tickets" to "Resolving Issues" without human intervention.
The Legacy Challenge
Most "AI chatbots" just point to documentation. When a customer wants to actually do something (cancel a subscription, change an address, troubleshoot a technical bug), the bot hands them off to a human.
Reasoning First Troubleshooting
The agent asks clarifying questions based on your technical docs. If the customer reports a "Bug," the agent uses a connector to pull the user's logs from Datadog or AWS CloudWatch and performs an initial Root Cause Analysis.
Backend Execution
Once the issue is identified (e.g., a misconfigured setting), the agent can execute the fix directly in your production environment (within pre-set guardrails) and confirm the resolution with the user.
Intelligent Handover
If the agent cannot solve the issue, it creates a Jira ticket with the full log analysis and a summary of the conversation, saving the human engineer 15-20 minutes of research.
60%+ increase in First Contact Resolution and significantly lower Support Cost per Ticket.
Elevate O2C with Enterprise Automation
Integrate your ERP & CRM
Engini enables your finance team to automatically sync customer, invoice & billing data across your ERP & CRM systems to seamlessly connect your company’s end-to-end process.
Build bi-directional data flows for customer and product data
Automatically collect and map customer data across applications such as Salesforce, NetSuite, Gainsight, and more.
Create bots in Slack or Teams
With Engini you can create purpose-built bots in Slack or Teams for quick deal updates, approvals, and company-wide visibility.
.png)
.svg){kind=icon}
