AI CS Operator platform

One customer service system. Many ways to operate it.

Give every business line the right AI, knowledge, channels, people, and reporting while your team works from one consistent operator experience.

Built for operational flexibility

Scale service without forcing every team into the same setup.

Create distinct projects for different products, fields, or markets. Each project can use its own knowledge base, AI agents and models, messenger connections, team access, and operating rules.

Multiple projects, clean boundariesKeep product lines and business units separate, with the right conversations and context available only where they belong.
Knowledge and models per projectUse different knowledge sources, AI agents, and model providers for each field instead of applying one answer style everywhere.
Messenger and mail connectionsConfigure the channels each project needs, including chat messengers and mail workflows, without losing a unified operating view.
01 / ACCESS CONTROL

Give each person the access their role requires.

Define team access around projects and responsibilities so operators, supervisors, and workspace owners see the controls and customer context they need.

ROLE-BASED ACCESS
02 / WORK ASSIGNMENT

Turn a handoff into clear ownership.

Assign conversations to the right person, track who owns the next response, and let operators take over with the full history in view.

ACCOUNTABLE HANDOFFS
03 / ANALYTICS

See the patterns behind customer service work.

Use a shared view of activity, assignments, conversations, and service signals to understand where the team needs attention.

OPERATIONAL INSIGHT
04 / BEST FIT

Designed for teams with varied products and service paths.

A strong fit for organisations that support multiple brands, product lines, customer segments, or channels and need one dependable service operation.

ONE PLATFORM, MANY FLOWS

From message to resolution

A consistent rhythm for the team.

01

A customer message arrives in the shared inbox with project and channel context.

02

AI uses the configured knowledge to answer clearly or identify a reason to hand over.

03

A team member takes ownership with the original conversation and next action in view.