Austria - Vienna - AI Agents and Intelligent Workflow Automation for Business Operations - W Training

AI Agents and Intelligent Workflow Automation for Business Operations

AI Agents and Intelligent Workflow Automation for Business Operations

Course Category : Data Management

Practical one-week course for operations and automation professionals on designing building and governing AI agents and intelligent workflow automation to improve process efficiency and decision velocity..

Starts On

1 - March - 2027

Ends On

5 - March - 2027

Location

Austria - Vienna

Language

English

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View Course Introductory PDF

Targeted Audience

Business operations managers
Process improvement and Lean Six Sigma specialists
RPA developers and automation engineers
IT solution architects and integration engineers
Product owners and business analysts

Targeted Skills

Design scalable AI agent workflows aligned to business objectives
Build and prototype integrated agent solutions using APIs and RPA
Configure observability logging and performance metrics for agents
Evaluate security privacy and governance risks in agent deployments
Develop a pilot roadmap with KPIs change management and ROI targets

Expected Outcomes

Prioritized backlog of automation use cases with business impact estimates
Working prototype AI agent integrated with at least one API or RPA connector
Operational runbook covering error handling monitoring and escalation
Governance checklist and data access policy tailored to the organisation
Pilot deployment plan with KPIs success criteria and ROI estimate

Training Topics Index

AI agent concepts and taxonomy
Business workflow anatomy
Value mapping and use case selection
Data requirements and access patterns

Agent architectures and orchestration
Prompt design and tool chaining
Integration patterns with APIs and RPA
Security principles and data governance

Use case design workshop
Process mapping for automation
Prototype agent building
Connector and data pipeline configuration

Hybrid human agent collaboration
Error handling and fallback strategies
Observability logging and metrics
Performance tuning and latency management
Ethics compliance and risk controls

Deployment and pilot planning
Governance checklist and policies
Change management and adoption
Monitoring KPIs and continuous improvement
Business case and ROI planning