Most support chatbots stall on the first technical question. Robofy's AI agents resolve troubleshooting requests, answer product and documentation questions, handle account and billing issues, and escalate the right tickets to engineering with full context. Across website and WhatsApp, around the clock.
Password resets, integration errors, billing questions, and "how do I..." tickets pile up the moment you scale. Every one of them competes with the tickets that genuinely need an engineer. The result: slower resolution on the issues that matter most.
Support requests scale faster than headcount, especially after a release or outage.
Generic chatbots can't handle troubleshooting that needs real product knowledge.
Answers live scattered across docs, changelogs, and internal wikis customers never see.
Tickets that do need an engineer sit in queue behind ones that didn't.
Most support widgets on technology company websites answer FAQs and stop there. What Robofy builds resolves the ticket. It's trained on your documentation, product, and account data, so it can walk a customer through troubleshooting, pull their account status, and only escalate when the issue genuinely needs a human.
The conversation looks like a normal support chat. What's different is what happens behind it: fewer tickets reach your team, and the ones that do arrive with full context already attached.
Walks customers through troubleshooting, pulls account and system status, and resolves common technical issues without a ticket.
Answers product and how-to questions straight from your docs, changelog, and knowledge base, kept current automatically.
Detects issues that need an engineer or account manager, gathers logs and context, and routes them to the right queue.
Pre-built for how technology companies actually support customers. Not a generic chatbot template.
Whether you ship software, hardware, or infrastructure, the agent adapts to your product and your support workflow.
Handles product support, implementation questions, and service ticket triage for software and IT service providers.
Answers setup, warranty, and troubleshooting questions, and routes replacement or repair requests automatically.
Resolves connectivity, provisioning, and account questions at the scale infrastructure providers need.
Your agent doesn't replace your existing tools. It works with them.
Sync ticket history and escalate with full context
Create and update engineering tickets automatically
Alert the right team the moment an issue is flagged
Pull live account and system status into responses
Deploy agent on your WhatsApp number
Common questions from technology companies deploying AI agents.
Yes. The agent is trained on your documentation, product, and account data, so it can walk customers through common troubleshooting steps and pull real account or system status instead of giving generic answers.
Yes. You define what qualifies as an escalation. The agent gathers relevant logs and context, then routes the ticket to the right queue in Zendesk, Jira, or Slack instead of leaving your team to piece it together.
Yes. Connect your docs, changelog, and knowledge base, and the agent's answers update as your content does, so you're not maintaining a separate set of chatbot scripts.
Yes. Robofy connects to Zendesk, Jira, Slack, and your own API through documented actions, so tickets, alerts, and account data flow into your existing workflow.
A generic chatbot answers from a fixed script. Robofy's agent resolves the request: it can look up account status, walk through troubleshooting, and take action through your API, only handing off what genuinely needs a person.
No. Robofy handles setup, training on your docs and product, and testing before go-live. Most technology teams are live within a week, with light involvement from engineering only where API actions are needed.
