Run an AI Agent for Customer Support,
or Hire a Human Team (or Both).
Resolves routine tickets, drafts replies, and triages escalations. Without burning support hours.
Agent or human?
AI support agent vs. human support team.
AI SUPPORT AGENT
Best for volume.
Resolves routine tickets end to end, drafts replies for anything outside its confidence threshold, triages by urgency and sentiment.
HUMAN AGENT
Best for judgment.
Account-specific calls, retention conversations, anything emotionally charged. Where real support experience matters.
BLEND
Best for support teams.
Agent resolves the routine. Human owns edge cases and anything that needs a real person. Senior agents stop doing tier-1 work.
Workflow
Where the AI agent plugs into your support workflow.
TRIAGE
Ticket classification
Classifies by intent, urgency, and sentiment. Routes to the right queue automatically.
AUTO-RESOLVE
Routine tickets, handled end to end
Order status, password resets, billing lookups, anything repeatable and low-risk.
DRAFTING
Drafts for human review
Anything outside the agent's confidence threshold gets drafted, not sent blind, and queued for a human.
KNOWLEDGE BASE
Stays current with your docs
Reads your help center and macros directly. Updates to your docs update the agent, no retraining project.
ESCALATION
Human handoff with full context
Frustrated or high-value customers get flagged to a human immediately, with the full thread attached.
REPORTING
Resolution and satisfaction tracking
Deflection rate, resolution time, and CSAT, so you see what the agent is actually doing to your metrics.
Helpdesk integrations
Plugs into the helpdesk you already use.
ZENDESK
Native
INTERCOM
Native
FRESHDESK
Native
HELP SCOUT
Native
CRISP
Native
CUSTOM HELPDESK
API or webhook
How it works
Four steps to live support automation.
Map the tickets
We capture your top ticket categories, existing macros, tone, and escalation rules.
Configure the agent
Knowledge base ingestion, confidence thresholds, and escalation triggers set to your risk tolerance.
Launch on a slice of volume
Live on a subset of tickets first, tuned weekly against actual resolution accuracy.
Humans own the edge cases
Agent resolves the routine. Your team handles anything it flags or can't confidently answer.
Who it is for
Best-fit teams.
SUPPORT LEADS AT SAAS
Ticket volume growing faster than the headcount budget.
FOUNDERS DOING SUPPORT THEMSELVES
No dedicated support hire yet, need leverage now, not in a quarter.
ECOMMERCE AND MARKETPLACES
Seasonal volume spikes that would otherwise need temp staff.
TEAMS DROWNING IN TIER-1
Want senior agents focused on real problems, not password resets.
Related offerings
What we pair with support automation.
If the agent needs custom logic beyond what a done-for-you setup covers, our chatbot developers can build it bespoke. Outbound and support usually need the same customer data layer, see our AI SDR setup if you also want outbound automated. For a broader automation build across more of your ops, see our automation consultants. Not sure where to start? See which ticket types to automate first and which should stay with a human.
FAQ
Quick answers.
What does an AI agent for customer support actually do?
+
It classifies incoming tickets by intent and urgency, resolves routine repeatable requests end to end, and drafts replies for anything outside its confidence threshold instead of guessing. A human reviews drafts and owns escalations. The agent handles the volume work that keeps senior support staff stuck on tier-1 tickets.
Will customers notice they are talking to an AI agent?
+
We do not set these up to impersonate a human, and we recommend disclosure as standard practice, not something to hide. In practice, the agent resolves routine requests quickly enough that most customers are satisfied with the speed. Anything that needs a human gets handed off, with context, rather than the customer having to repeat themselves.
Can the AI agent integrate with our helpdesk?
+
Yes. Standard integrations with Zendesk, Intercom, Freshdesk, Help Scout, and Crisp. Custom integrations for an in-house helpdesk via API or webhook. The agent reads your macros and knowledge base directly and writes resolutions back, so your team works in one tool, not two.
Resolve tickets without burning support hours.
Tell us your ticket volume. Scoped proposal in 48 hours.
Book a discovery call