Resolve tickets.
Not just acknowledge them.
An AI agent that reads your CRM, knowledge base, and ticket history before it types a single word — then resolves or escalates with full context, not a generic reply.
Why support teams are still overwhelmed in 2025
L1 tickets are eating your team alive
Password resets, order status, policy lookups, account questions. Your support team is trained for complex problems but spending 60–70% of their time on work a well-designed agent could handle.
Context lives in three systems, none of them open
The ticket is in Zendesk. The customer history is in Salesforce. The answer is in Confluence. Your agents context-switch constantly — and customers wait while they do.
Escalations arrive with no context
When a ticket does need a human, it arrives as a raw message. No summary, no prior interactions, no attempted resolutions. The human agent starts from zero.
After-hours is a coverage gap, not a feature
Tickets that arrive at 11pm sit until morning. For customers in different time zones or with urgent issues, that's not acceptable — and it shows in your CSAT.
What happens from message to resolution
Message arrives
Customer contacts via any configured channel — email, WhatsApp, chat widget, or Slack. The agent receives it in under a second regardless of channel.
Agent builds context
Before forming a response, the agent looks up the customer record in your CRM, retrieves relevant tickets from your ticketing system, and queries your knowledge base for matching answers.
Agent resolves or routes
If the issue matches a known resolution path, the agent responds and closes the ticket — logging the action back to the ticketing system. If not, it routes to a human with a full context package.
Every action is logged
The full interaction — what the agent read, what it decided, what it sent, and what it updated — is written to the audit trail. Not a summary. The full trace.
What the agent can do
Multi-channel intake
Email, WhatsApp Business, Zendesk, Freshdesk, Slack — configured once, consistent behavior across all.
Knowledge base retrieval
Queries Confluence, SharePoint, or custom document stores at resolution time. Not pre-loaded into the prompt.
CRM lookup and update
Reads customer history from Salesforce or HubSpot. Writes resolved status, interaction notes, and next steps back.
Ticket lifecycle management
Creates, updates, and closes tickets in Zendesk or Freshdesk. CSAT surveys triggered automatically on close.
Smart escalation
Escalations include a structured context package: customer profile, prior tickets, what was tried, confidence level.
Sentiment routing
Detects customer tone and urgency. High-frustration or high-value tickets are prioritised before the agent even responds.
After-hours autonomy
Handles routine queries overnight. Complex issues are queued with full context for the morning shift — not abandoned.
Multilingual support
Responds in the customer's language. Escalation summaries are produced in your team's working language.
Connects to the tools your support team already uses
The agent doesn't replace your ticketing system or CRM — it works inside them. Actions taken by the agent are visible in Zendesk, Salesforce, or wherever your team works today.
View all integrations →
Zendesk
Freshdesk
Salesforce
HubSpot
WhatsApp
Slack
Confluence
SharePointEvery action is on record
What the agent read, what it decided, what it sent, and what it updated in your systems — logged as an immutable trace. Not a summary. The full sequence.
Agent can only reach what you allow
The support agent has access to the specific connectors you configure at deployment. It cannot query your HR database or access data outside its defined scope — by construction, not by policy.
Human paths are defined, not improvised
Escalation triggers and routing are configured in the control plane. The agent cannot decide to just "try something else" — undefined paths fail closed, not creatively.
See it handle a real ticket
Bring a ticket type that's eating your team's time. We'll configure the agent live against your connectors and show you what auto-resolution actually looks like.