AI employees
Specialised digital roles with defined tasks and accountability boundaries.
Meet AI employeesBuilt for European business
AI that works inside your business.
WIESCHER Consulting GmbH helps European businesses implement AI agents, autonomous AI employees and intelligent business process automation.
AI AutomationAI AgentsProcess AutomationMade in Germany
Human leadershipObjectives · Accountability · ApprovalAI Operations
Marketing IntelligenceContent Agent · Research Agent
HR IntelligenceRecruiting Agent · Development Agent
Finance IntelligenceInvoice Agent · Controlling Agent
OperationsProcess Agent · Automation Agent
Customer IntelligenceSupport Agent · Communication Agent
ResearchMarket Research Agent · Competitor Intelligence Agent
Illustrative digital roles — not a representation of human employees.
The next step
From isolated AI tools to an intelligent organisation.
Many businesses already use individual AI tools. The greater opportunity appears when AI works inside a process with knowledge, systems and people.
We do not just talk about AI. We integrate it into real business operations with traceable controls and a clear operational purpose.
- Understand processes
- Use enterprise knowledge
- Connect systems
- Take on defined work
- Collaborate with other agents
- Involve people at the right time
Solutions
AI becomes valuable when it has a clear job inside the business.
Modular building blocks for moving from isolated tools to productive, human-led workflows.
AI agents
Autonomous agents handle multi-step tasks within clear objectives and approval rules.
Understand AI agentsProcess automation
AI connects existing applications and coherent workflows.
Discuss your processEnterprise knowledge and RAG
Approved knowledge becomes discoverable, contextual and usable by AI.
Activate your knowledgeMulti-agent systems
Multiple specialised AI agents collaborate on complex assignments.
Explore the agent organisationAI integration
AI is embedded in existing business software and operational workflows.
Plan your integrationAI strategy
Meaningful and economically viable AI use cases are prioritised.
Explore your AI potentialAI governance
Control, roles, approvals and privacy become part of the design.
Discuss your governance frameworkAI Employees
Your next colleague could be digital.
Not as a replacement for people, but as a specialised digital role with an assignment, capabilities, knowledge, boundaries and clear escalation.
Meet AI employeesMarketing Intelligence
Coordinate research, content preparation, publication handover and evaluation.
Content AgentResearch AgentPublishing Agent
HR Intelligence
Support people-related preparation and knowledge work within narrow business boundaries.
Recruiting AgentDevelopment AgentKnowledge Agent
Finance Intelligence
Prepare documents, controls and reporting for accountable finance roles.
Invoice AgentControlling AgentReporting Agent
Operations
Support business processes, handovers and agreed criteria in a coordinated way.
Process AgentAutomation AgentMonitoring Agent
Customer Intelligence
Understand, prepare and route enquiries into service processes.
Support AgentCommunication Agent
Research
Prepare market and competitive information traceably from permitted sources.
Market Research AgentCompetitor Intelligence Agent
Human + AI
Replace people? No. Strengthen people? Yes. AI handles clearly defined work while people retain leadership and accountability.
People retain leadership, accountability and decisions with significant impact.
lead and remain accountable
- Leadership
- Accountability
- Creativity
- Empathy
- Critical decisions
- Strategy
perform and support
- Routine work
- Research
- Documentation
- Preparation
- Data analysis
- Communication within defined rules
- Monitoring agreed process criteria
- Organisation
How we work
From the real process to production AI.
A clear, iterative path from process analysis to continuous improvement.
Discover
Understand processes and problems
We clarify goals, participants, dependencies and where time, information or quality are currently lost.
Analyze
Assess automation potential
We assess repeatability, available information, risk, approvals and expected operational value.
Design
Design the AI architecture and agents
Roles, capabilities, data access, handovers and human controls are designed as a traceable flow.
Build
Integrate and build
We build the pilot, connect required business systems and implement the agreed rules.
Validate
Test with real business processes
Quality, exceptions, approvals and handovers are tested against representative work cases.
Deploy
Put the solution into responsible operation
The validated process is introduced with clear roles, ownership and escalation paths.
Improve
Learn and improve continuously
Feedback, new cases and changing requirements feed into controlled development.
Project and solution insights
Architecture becomes clear when it is explained through real work.
Internal development work and transparently labelled solution patterns — without invented clients or metrics.
CASE 01Solution pattern 01
AI invoice automation
A traceable invoice intake that prepares documents, identifies discrepancies and involves people precisely where needed.
View insightCASE 02Solution pattern 02
AI social media operations
Specialised agents research, prepare drafts and evaluate outcomes, with human approval.
View insightCASE 03Solution pattern 03
AI enterprise knowledge and RAG system
Enterprise knowledge becomes discoverable, role-aware and usable with source context.
View insightCASE 04Solution pattern 04
Autonomous AI employee organisation
Digital roles collaborate across functions while people own objectives, boundaries and critical decisions.
View insightCASE 05Solution pattern 05
Intelligent business process automation
One coherent workflow connects intake, validation, processing and handover.
View insightCASE 06Solution pattern 06
AI-powered safety and check-in application
An orderly check-in identifies missing responses and supports escalation.
View insightFAQ
The essential questions before a first AI project.
What is an AI employee?
An AI employee is a defined digital role for bounded tasks. It can use approved knowledge and tools, hand work over and escalate exceptions to people. The term does not describe a natural person or an employment relationship.
What distinguishes an AI agent from ChatGPT?
A conversational system typically responds to input. An agent can derive several steps from an objective, use approved functions and process work until handover. That ability to act requires roles, permissions and stop conditions.
Which processes can be automated with AI?
Recurring, information-rich workflows with clear objectives and reviewable outcomes are strong candidates. Unambiguous rules are often better handled conventionally; AI can help with variable language, documents, research and contextual preparation.
Can AI access our internal data?
Yes, when access is necessary for the task, technically supported and explicitly approved. Curated sources, role-based rights and data minimisation are appropriate. Not every system or document should be available by default.
How are AI agents controlled?
Through clear roles, minimum permissions, allowed actions, approval gates, escalation paths and expert quality review. Critical steps can be blocked until an accountable person decides.
Which process should work better in your organisation?
We begin with the work, the people and the current process — then assess which form of AI genuinely makes sense.