Customer & employee interaction

Communication Agents

Agentic communication agents for employees and customers that resolve work across channels, on top of your existing systems and data.

30-60%
of repetitive questions resolved without a human*
24/7
availability across customer and employee channels
2-4 weeks
from kickoff to first agent in production

*Indicative range based on pilots and comparable implementations.

One shared AI layer. Many interfaces.

A single intelligence layer connected to your data and systems. From that foundation, every interface can draw on the same knowledge, logic and actions - so customers and employees get the same answer, no matter where they ask.

  • One shared foundation connected to your data
  • Interfaces reuse the same knowledge and actions
  • Less fragmentation, lower maintenance cost

Agentic means it can reason, decide and act - not just respond.

Where it shows up in the business

Where communication agents fit in

The same agent platform powers different parts of the business - from customer service to marketing dialogue and sales follow-up.

From request to resolution

How a communication agent actually resolves a request

Every conversation runs through the same four steps - so you get explainable, traceable work instead of black-box answers.

01

Understand the request

Read the full message in context: the channel it came from, the customer or employee profile, and the policies that apply.

02

Call the right tools

Look up live data in your systems - order status, returns, customer history, internal procedures - through secure tool calls.

03

Take action end-to-end

Compose the answer, execute simple actions and log the outcome - in the same flow, without bouncing the user between portals.

04

Hand off with full context

For exceptions, the agent hands over to the right person with the conversation, the data it pulled and a recommended next step already attached.

Dify workflow showing a communication agent answering a user query with knowledge retrieval and LLM steps

Customer stories

Already running in production

From a national retailer's customer service to operators on the factory floor - communication agents already resolve real work for Nordic and global enterprises.

Jernia

Norway's leading hardware retailer · Customer service

Jernia
46%
of meaningful customer conversations resolved by the agent during pilot - without adding headcount.

The agent answers questions about opening hours, terms and returns, fetches live order status via nShift, and gives product tips - all from one shared knowledge layer connected to Jernia's systems.

Web chat nShift integration Tool calling RAG on docs
Jernia pilot insight
Jernia pilot insights
Read the full story →

GE Healthcare

Global healthcare leader · On-prem operations

GE Healthcare
10,000+
control documents made searchable for factory operators on a fully closed, on-prem RAG solution.

Operators get instant, correct answers to critical procedures directly from a closed environment - sensitive data never leaves the factory, compliance and security requirements are fully respected.

On-prem RAG Internal procedures Compliance-first
GE Healthcare operations assistant
GE Healthcare ops assistant
Read the full story →

Why this matters

From answering questions to resolving work

Communication agents don’t just respond - they complete work across systems.

  • Shorter resolution times for common issues
  • Fewer tickets and handovers between teams
  • Lower cost per case handled
  • A consistent experience across channels

Instead of sending people between systems, the agent looks up data, completes simple actions, and involves humans only when it matters.

Dify teamwork and organization interface for managing agent collaboration
FAQ

Questions we often hear

Short answers on what a communication agent is, how it differs from a chatbot, and how we measure value.

What is a communication agent?

A communication agent is an AI system that handles customer and employee interactions across channels like chat, email and phone. Unlike traditional chatbots, it connects to your business systems, looks up data, completes tasks and involves humans only when needed.

How is this different from a chatbot?

A chatbot follows scripted flows and answers predefined questions. A communication agent reasons over live data, calls tools, resolves multi-step requests and learns from context. It works across systems rather than within a single interface.

What channels can a communication agent handle?

Communication agents work across web chat, email, phone, internal tools and messaging platforms. They use one shared knowledge base and logic layer, so customers and employees get consistent answers regardless of channel.

How do you measure the value of a communication agent?

We measure resolution rate (how many requests the agent completes without human help), response time, customer satisfaction and support cost reduction. In pilot projects, we typically see 40-60% of meaningful conversations resolved autonomously.

Shall we grab a coffee?

A short conversation to assess where agentic AI makes sense, and where it doesn’t.

Mikkel Selente
Mikkel Selente
CEO & Tech advisor
Get in touch →