An AI agent across your Zendesk queues.
Connect Zendesk and an OpenHelm agent can run scheduled sweeps over your ticket queues: triaging and tagging, alerting on tickets drifting toward SLA breach, drafting responses for review, and reporting the trends hiding in a week of tickets.
Recurring jobs
What an OpenHelm agent can do with Zendesk.
Each of these runs as a scheduled, self-correcting job: you describe it in plain English, approve the plan once, and an independent evaluator checks every run against the goal.
Scheduled ticket triage
Classify and tag incoming tickets by product area and severity on a recurring cadence, routing edge cases to a named human.
SLA-risk alerts
Watch open tickets against your SLA targets and alert the team lead while there is still time to respond, not after the breach.
Weekly trends report
Summarise ticket volume, drivers and sentiment shifts week over week into a data table and a short email for the product team.
Macro and reply drafting
Draft suggested replies for recurring issues, grounded in your help centre articles, attached as internal notes for agents to use or discard.
Get started
Connect Zendesk in minutes.
- 1
Connect Zendesk
Add Zendesk under Connections in the OpenHelm app and paste a scoped API key, or provision it programmatically with POST /v1/connections.
- 2
Describe the job in plain English
Tell OpenHelm what you want done and how often. It drafts a plan with a schedule, the tools it will use, and a clear definition of done.
- 3
Approve the plan
No job fires until you have reviewed the plan. Set the autonomy level to control whether writes execute directly or queue for your approval.
- 4
It runs, self-checks and reports
Runs execute in isolated cloud sandboxes on schedule. An independent evaluator scores each run against the goal, and results arrive as logs, emails or data-table rows.
For developers
Or provision the connection over the API.
curl https://api.openhelm.ai/v1/connections \
-H "Authorization: Bearer oh_live_..." \
-H "Content-Type: application/json" \
-d '{ "name": "Zendesk", "type": "token", "secret": "<your Zendesk API key>" }'
# secret is write-only: stored encrypted, injected only at run timeThe same connections back runs started over REST. See the AI agent API and the Connections API docs.
Related ways to put agents to work with Zendesk:
Common questions about the Zendesk integration
Put an agent to work in Zendesk this week.
Connect once, describe the job, approve the plan. From then on it runs on schedule, checks its own work, and reports back with evidence.