Agentic AI Solutions

Refraction

AI agents embedded into operational workflows that can take actions, learn from feedback, and escalate when needed.

Where Are We Now?

AI is widely available today, but still not embedded in real day-to-day business workflows. Most solutions remain disconnected from how work actually gets done.

Generic AI vs Agentic AI

Generic AI

AI tools that are widely available but operate outside real business workflows.

  • Tools like ChatGPT and Gemini
  • Disconnected from operations
  • Require manual copy-paste
  • No context of your business
  • Generic responses

Agentic AI

AI agents embedded into operational workflows that take actions, learn, and improve.

  • Embedded in your actual workflows
  • Takes action automatically
  • Learns from feedback
  • Understands your business context
  • Escalates when needed

It's a Junior That Learns Fast

The agent acts as a junior principal generalist / knowledge worker.

Over time, it becomes more knowledgeable and operates at a more senior level.

Like Any Other Junior

It needs to

  • Learn how the business actually works, including its rules, exceptions, and edge cases
  • Understand what a correct outcome looks like and be able to distinguish it from incorrect ones
  • Continuously improve by learning from human feedback, corrections, and real-world usage

So it becomes

  • The owner of the entire procedure of your business
  • A workforce that knows the business as much as you do
  • A teammate that asks questions that are new to you as well

What Happens Next?

You focus on growth while AI agents handle the tedious operational work.

The Value It Delivers

24/7 Available

Stay available to customers around the clock

🔗

System Integration

Integrate seamlessly with internal systems and CRM

📈

Continuous Learning

Learn from mistakes and avoid repeating them

Better Experience

Deliver a better experience in every customer touchpoint

💡

Instant Insights

Generate instant insights without manual data work

📊

Scalable Operations

Scale operations without increasing headcount

Key Capabilities

💬

Multi-Channel Messaging

Messaging via WhatsApp, internal tools, or any required channel

🗣️

Voice Interaction

Calling and answering users

👥

User Communication

Answering user questions and requests

🎯

Decision Support

Decision-making under your oversight

📋

Data Processing

Data entry and structured information handling

🔄

Inbound & Outbound Management

Managing incoming and outgoing interactions

Example: A Product in Practice

An Accounting Agent Designed for the German Market

The Accounting Challenge

In accounting and finance, a significant part of the work is still manual and repetitive. For every payment, a government-compliant invoice is required. Each invoice must be:

  • Received
  • Checked
  • Processed
  • Paid
  • Registered with governmental systems

In many organizations, this entire process is handled by human teams.

On average:

  • Each invoice takes around 5 minutes to process
  • A scaling company with fewer than 50 employees processes at least 5,000 invoices per month

This means a highly skilled accounting team spends a large portion of its time on operational execution rather than higher-value work.

Our Accounting Agent: ALEA

The agent operates across the full workflow, from incoming documents to payment execution.

Its responsibilities include:

  • Extracting and structuring data from incoming invoices and documents
  • Ensuring all required information is present and correctly formatted
  • Routing items for internal approval when required
  • Avoiding unnecessary repetitions and manual handovers
  • Complying with legal and governmental requirements
  • Escalate to a human accountant in case of uncertainty

Workflow: Inbox management → Data Extraction → Pre-accounting → Get Internal Approval → Attach meta-data → Payment Management

How We Work With You

The process of enabling an AI agent in your business.

1

Process Discovery

We start by understanding your current process (IS process)

2

Future Definition

Together, we define the desired future state (SHOULD process)

3

Controlled Deployment

We introduce an AI agent with clear boundaries and human oversight

4

Continuous Learning

The agent learns from real usage and human feedback

5

Iterative Expansion

We iterate, improve, and expand step by step

6

Full Control

You stay in control throughout the entire process

Ready to Deploy Intelligent Agents?

Focus on growth while AI agents handle the tedious operational work.

Get Started