AI agents on the customer journey

AI agents at every stage

They meet customers across chat, email, and voice, resolve issues end to end, and increase revenue.

Chat, email, and voice to meet the customer. Systems to run the operation.

The same runtime serves the customer and runs the operation. Data, tools, and guardrails stay the same on both sides.

Conversational

Support agent

Resolves the issue end to end across chat, email, and voice, with the context of the journey.

Sales agent

Answers product questions, qualifies, and moves the conversation to the next commercial step.

Operational

Warehouse agent

Checks stock, reserves the item, and confirms only the shipment the playbook allows.

Process agent

Handles the ERP exception, opens the right task, and records the action for audit.

“XBot is the company’s semantic layer: the same data, processes, and systems serve the agent that talks to the customer and the agent that runs the operation.”
XBot platform
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The agent lifecycle

  • ERP
  • WMS
  • CRM
  • Chat
Create agent

The suite for conversational and operational agents. Channels for the customer. Systems for the operation. One runtime.

Playbooks Written in plain language and followed step by step, with actions in between.

  1. 1.Find the order
  2. 2.Confirm the item
  3. 3.Run the action

Widgets The agent answers with interactive components, not only text.

In transit

Helpdesk People and agents in the same conversation, with handoff when policy requires it.

NewConversation
With youConversation
ClosedConversation

Cockpit Ask about customers, stock, and exceptions, and say what the agent should change.

  1. 1.Find the order
  2. 2.Confirm the item
  3. 3.Run the action

Analytics Conversation themes and the outcome of operational actions, in one view.

Integrations CRM, helpdesk, ERP, and the systems the operation already uses.

Playground Test model, instructions, and scenarios before you publish.

Build once and deploy everywhere

Chat

Where is my order?

I found the order. It ships today.

Create agent

Platform control

Data, policy, and the audit trail stay with the people who run the agent. Execution goes through the XBot runtime.

See the platform

Governance

Role, scope, and policy decide what the agent is allowed to do.

Audit

Actions and handoffs are recorded so the operation can review them.

Access

Each integration acts inside its authorized scope.

Your data stays yours

Company context serves your agents. It is not used to train someone else’s model.

In transit and at rest

Traffic to channels and systems follows the platform controls.

Scoped integrations

Tools and actions only see what that agent’s policy allows.

Built for your operation

Agents that serve the customer and run the operation.

Meet customers across chat, email, and voice, resolve issues end to end, and increase revenue.