Turkey - Istanbul - AI Agents and Intelligent Workflow Automation for Business Operations - W Training

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

3 - January - 2027

Ends On

7 - January - 2027

Location

Turkey - Istanbul

Language

English

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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