Customer support AI agent

Resolve routine support work faster without losing human control

We build AI support agents around the inbox, help desk, knowledge base, CRM, and commerce tools your team already uses. The agent prepares accurate work; your rules decide what can proceed automatically and what needs approval.

Where support teams lose time

A secure customer support AI agent that classifies requests, drafts grounded replies, escalates exceptions, and updates your existing tools.

  • Reading and categorising repetitive requests
  • Searching several systems before writing a reply
  • Copying customer context between the help desk and CRM
  • Spotting urgent, sensitive, or unusual cases too late

A practical support workflow

1. Intake

Intake

A request arrives through email, a form, live chat, WhatsApp, or your help desk.

2. Context

Context

The agent identifies intent, urgency, customer details, order history, and missing information.

3. Draft

Draft

It prepares a reply grounded in approved knowledge sources and your operating rules.

4. Control

Control

Low-risk actions can continue; refunds, sensitive changes, and uncertain answers wait for a person.

5. Update

Update

The ticket, CRM record, task, and internal notification are updated consistently.

Designed for dependable answers

We define approved knowledge sources, confidence thresholds, access boundaries, escalation rules, and an audit trail. The agent does not need permission to improvise outside those boundaries.

Integrations

Zendesk, Intercom, Freshdesk, Gmail, Outlook, HubSpot, Salesforce, Shopify, WooCommerce, Notion, Confluence, Slack, Microsoft Teams, WhatsApp, n8n, Make, and custom APIs.

Customer support AI agent FAQ

Does the agent replace our support team?

No. It reduces repetitive preparation and routing while people retain control over exceptions, relationships, and sensitive decisions.

Can it use our existing documentation?

Yes. We can connect approved sources such as Notion, Confluence, Google Drive, help-centre articles, product data, or an internal API.

Can replies require approval?

Yes. Approval can be required based on topic, confidence, customer type, financial impact, or any other rule supported by your systems.

Map your first support workflow

Tell us where support work slows down today. We will identify a focused first workflow, the systems involved, and the right approval points.