Read the request
Identify the customer, issue, urgency, sentiment, and missing details.
Product & service
An AI assistant for support requests.
FoxGrove Support Agent reads incoming customer requests, checks the right context, and prepares a clean response or escalation.
It helps your team reply faster without guessing on refunds, policy, safety, or reputation-sensitive issues.
What it handles
Useful work first. Automation second.
FoxGrove starts with the repeated workflow your team can describe in plain English, then builds the worker around your rules, tools, and approval points.
Check context
Look across tickets, CRM notes, orders, docs, and policies.
Prepare replies
Draft customer-safe responses and internal summaries.
Escalate cleanly
Send exceptions to the right person with enough context to decide.
Control
People stay in charge of the calls that matter.
Permissions are scoped to the workflow, not your whole business.
Pricing, policy, refunds, access, legal, and sensitive replies can all require review.
The worker reports what it checked, drafted, updated, and where it needs a human.
First build
Start small, prove value, then expand.
One worker. One workflow. A useful result your team can judge without learning the underlying tech.
Get startedPick the role or process
Choose the repeated work that eats time every week.
Show us how it works today
Inputs, tools, owners, decisions, and what counts as complete.
Build and connect the worker
FoxGrove handles the AI, integrations, prompts, rules, and testing.
Approve sensitive work
Your team reviews anything that needs judgement.
Improve monthly
Corrections, examples, approvals, and outcomes make similar work more reliable.
FAQ
Plain answers before the first call.
Can it handle angry customers?
It can triage tone, collect context, and draft careful replies. Sensitive or high-risk responses should route to a person.
Which systems can it use?
Support desks, CRMs, email, chat, order systems, docs, and browser portals where suitable access exists.
What should stay human?
Refund exceptions, legal issues, safety concerns, public reputation risks, and anything your policy says needs approval.
Next step