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Live in production in two sectors Platform · Mesh Operations Platform
A ready platform · Configured for your sector

Run your operations
on a single AI
layer.

Multichannel customer communication, an internal team copilot, and operations management in one platform. Not a custom software project; a system configured with sector templates and running in live production.

Three modules · One layer

The platform's layers

03 · Operations & Reporting
02 · Copilot
01 · Communication Center
01 / MODULE

Communication Center

Whichever channel the customer writes on, there is a single dialog flow. AI gives the first response, gathers context, and hands over to an agent transparently when needed.

02 / MODULE

Copilot

An internal team assistant. "Add a new customer", "Send a proposal to company X" — commands are given in natural language, and actions run in the system under role-based permissions.

03 / MODULE

Operations & Reporting

Sales, proposals, contracts, inventory, and finance tracking, with a configurable reporting layer on top. Every action from the two layers above is recorded here.

How it works

From request to report, one flow

Request

A customer writes on WhatsApp, fills out a form, or a team member gives the copilot a command.

Dialog

AI gathers context: asks for missing details, finds the right record, clarifies intent.

Action

A proposal is created, the record is updated, the process moves forward. Every step is written to the audit log.

Report

It shows up instantly on operations screens and reports. Management sees what happened.

Representative flow
Channels

Four channels, one dialog engine

WhatsApp

Two-way dialog; media, location, documents

Telegram

Bot-based communication and notifications

Web Chat

A chat window embedded in your site

Web Forms

Form submissions turn into a dialog

Dialog engine

One record · One context

history + customer context
transparent handover to agents
auditable records
Data ownership

Your data stays in your environment

The platform runs in a separate, isolated environment for each client. Who can access what is defined; what was done is on record.

Environment
Data is kept in a client-specific, isolated environment. No data is shared between environments.
KVKK
Personal data processing is configured for KVKK compliance; retention and deletion policies are defined.
Audit log
Every action, including AI actions, is logged with who-what-when detail and can be reviewed retroactively.
Access
Role-based authorization. Agent, manager, and system roles operate with separate permission sets.
Production proof

Live in production in two sectors

Live production

Car rental company

Web form and social media requests are handled on the platform; proposal, contract, and fleet inventory processes are managed in natural language through the copilot.

Live production

Crypto asset platform

Account-aware customer support runs across multiple channels, in a highly sensitive data environment with auditable records.

Reference names are shared on request, with mutual consent.

Getting started

Starts with discovery, scales with measurement

Not a big migration project. It starts with a narrowly scoped pilot and is measured with your own data.

STEP 01

Discovery

We review your current processes and channels together; the right template is identified.

STEP 02

Pilot scope

A measurable pilot is defined, limited to a single process or a single region.

STEP 03

Configuration

The template is configured to your processes; your team takes over after a short onboarding.

STEP 04

Measurement and rollout

The pilot is evaluated with your own data; scope is expanded based on the results.

Schedule a discovery meeting ↳ Response within 2 business days