Logic Joe Next

AI Process Automation

Automate manual processes, make knowledge accessible, process documents intelligently

We automate the processes your team still handles manually today: categorizing tickets, capturing documents, searching for information, creating reports. With AI agents, intelligent search and workflow automation - GDPR-compliant and measurable. We use AI every day in our own development - that's why we know first-hand what works.

40% Faster Processes

through autonomous AI Agents

60% Less Manual Work

in IT, HR and Finance

ROI in 4-6 Months

measurable results

Why AI Automation Now?

The most common problems that AI automation solves.

Repetitive Tasks Consume Time

Service employees search endlessly across different systems. Tickets are manually categorized. Invoices captured by hand.

Knowledge Is Trapped in Silos

Confluence, SharePoint, emails, tickets - employees can't find information even though it exists.

Scaling Only Through More Headcount

Growth has always meant hiring more staff. AI automation breaks this pattern.

Concrete Application Areas

The most common AI automations we implement for our clients

AI Agents for Service Processes

Autonomous agents that handle IT tickets, categorize requests and resolve customer inquiries independently. 40% of tickets without manual intervention.

Enterprise-Wide Knowledge Search

Employees ask questions in natural language and get precise answers from Confluence, SharePoint, emails and databases - with source references.

Intelligent Document Processing

Invoices, contracts, forms: AI extracts data, classifies documents and routes them to your existing systems. 95%+ recognition rate.

Multi-System Workflows

Complex processes across ERP, CRM, ticketing and email orchestrated by AI. From invoice verification to employee onboarding.

Email & Communication

Automatic classification, routing and response to incoming emails. Drafts for standard replies, escalation for complex requests.

Reporting & Data Analysis

AI-powered analysis of your business data: automatic reports, anomaly detection, forecasting. Questions in natural language instead of SQL.

Autonomous AI Agents for Business Processes

Agents that independently complete tasks, make decisions and control complex workflows

What Are AI Agents?

Definition & How It Works

AI Agents are autonomous systems that achieve goals independently. Unlike traditional workflows (if-this-then-that), agents understand context, plan actions and execute multi-step processes.

  • Goal-Driven: Agent receives a goal (e.g. 'Resolve IT ticket'), plans steps independently
  • Context-Aware: Understands ticket history, user data, system status
  • Tool Usage: Uses APIs, databases, internal tools to achieve goals
  • Self-Correction: Detects errors and adjusts strategy

Leading companies report 20-30% faster workflows and significant cost reductions in back-office processes.

Concrete Agent Use Cases

Real-World Implementations

Practical examples from various industries:

  • IT Service Desk Agent: Categorizes tickets, matches against knowledge base, resolves 40% automatically
  • Insurance Claims Agent: Validates documents, checks coverage, triggers payout - 40% less processing time
  • HR Onboarding Agent: Creates accounts, sends welcome email, schedules meetings, tracks progress
  • Invoice Processing Agent: Extracts data, matches with order, routes for approval, archives

Advantages of AI Agents Over Traditional Automation

What makes agents so powerful?

Context Understanding

Agents understand business context, not just rules. They make intelligent decisions based on history and situation.

Adaptive Workflows

Dynamically adapt to exceptions. No manual intervention needed in unexpected situations.

Multi-System Coordination

Orchestrate processes across ERP, CRM, ticketing, email - all from a single source.

Continuous Improvement

Improve over time. Learn from feedback and continuously optimize performance.

Specialized AI Agents for Sales & Marketing

We consult on and develop specialized agents that independently manage sales and marketing

Find, contact, qualify target customers

Sales agents that independently identify target customers, manage personalized outreach across multiple channels and systematically build your pipeline.

More about Sales Agents
Target customer research and identification
Outreach via LinkedIn and email
Automatically score and prioritize leads
CRM integration and pipeline management
Full traceability from first contact to close

Trusted by Leading Companies

Würth
TÜV Rheinland
Strabag
bulthaup
ebm-papst
Witzenmann

Ready for AI Automation?

Talk to us about agents, RAG search, IDP and workflow orchestration - we'll get back to you within 24 hours.

Torsten Godzisz - Director Technology
Ihr Ansprechpartner

Torsten Godzisz

Director Technology

Verbindet technische Exzellenz mit pragmatischer Umsetzungsstärke. Von der Architektur bis zur Implementierung - sorgt für technische Lösungen, die in der Praxis funktionieren und langfristig Bestand haben. Entwickelt Systeme, auf die sich Kunden verlassen können.

Request Automation

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Frequently Asked Questions about AI Process Automation

Traditional workflows are static if-this-then-that rules. AI Agents are autonomous systems that achieve goals independently: They understand context, plan actions, use tools (APIs, databases) and self-correct errors. Example IT ticket: Traditional workflow matches keywords and routes to team. AI Agent: Understands ticket content, checks knowledge base, resolves 40% itself, routes the rest intelligently based on skill matching.

Free AI Potential Assessment

We analyze 2-3 of your core processes and show concretely: Which AI technology fits? Where is the biggest ROI? What are realistic timelines? Including detailed ROI calculation and implementation roadmap.