About the Course

Organizations often begin AI adoption with individual productivity tools but obtain greater value when repetitive business processes are redesigned systematically. AI-enabled automation can support document processing, communications, approvals, data handling, customer requests and operational coordination. The challenge is to automate the right tasks without creating fragile workflows, unclear accountability or uncontrolled information risk.

This five-day course is positioned as the practical business-user automation offer within the Devimpact AI portfolio. It focuses on process discovery, automation opportunity assessment, AI assistants, document workflows, communication workflows, data workflows, no-code or low-code integration, workflow controls and implementation planning. It is intentionally distinct from the advanced 10-day Agentic AI programme, which addresses autonomous agents and more sophisticated orchestration.

Participants map a real business process, identify automation opportunities, design an AI-assisted workflow and define controls, roles and measures for implementation. The programme emphasizes accessible automation patterns that business teams can prototype with appropriate technical support and governance.

Target Participants

The course is designed for operations managers, business process owners, administrators, project teams, digital transformation personnel, customer-service managers, finance operations teams, HR operations staff, procurement personnel, innovation teams, supervisors and professionals seeking to automate repetitive business workflows without requiring advanced programming skills.

What You Will Learn

By the end of this course the participants will be able to:

• Map business processes suitable for AI-assisted automation.
• Assess automation opportunities using value, feasibility and risk criteria.
• Design AI assistants for recurring operational tasks.
• Automate document, communication and data workflows.
• Apply no-code or low-code integration approaches to business processes.
• Define human review and exception-handling controls.
• Evaluate automation performance and operational risk.
• Develop an implementation plan for an AI-enabled business workflow.

Course Duration

• Classroom – 5 Days
• Online – 7 Days

Course Outline

Business Automation Foundations

• Automation concepts
• AI-enabled workflow patterns
• Business-user use cases
• Automation maturity
• Human-in-the-loop design

Process Discovery

• Process mapping
• Task decomposition
• Pain-point identification
• Volume and frequency analysis
• Process baseline documentation

Automation Opportunity Assessment

• Value assessment
• Feasibility assessment
• Risk assessment
• Prioritization matrix
• Automation business case

AI Assistants for Operations

• Task-specific assistants
• Instruction design
• Knowledge context
• Assistant boundaries
• Escalation rules

Document Workflow Automation

• Document intake
• Information extraction
• Classification support
• Draft generation
• Document routing

Communication Workflow Automation

• Email triage
• Response drafting
• Notification workflows
• Request routing
• Follow-up automation

Data Workflow Automation

• Data capture support
• Data transformation
• Spreadsheet workflows
• Routine analysis
• Report generation

No-Code AI Integration

• Trigger-action logic
• Workflow connectors
• AI service integration
• Approval steps
• Prototype testing

Automation Governance

• Access controls
• Data handling rules
• Human review checkpoints
• Exception management
• Performance monitoring

Automation Implementation

• Pilot design
• Change readiness
• User adoption
• Success measures
• Implementation roadmap

Practical Outputs

• Business process map
• Automation opportunity prioritization matrix
• AI assistant specification
• Prototype workflow design
• Automation governance checklist
• Business automation implementation roadmap

Training Approach

Participants work through a structured automation cycle from process discovery to prototype design. Practical exercises use common business workflows such as document intake, approvals, email handling, reporting and recurring data tasks, with demonstrations of accessible no-code or low-code patterns.

The programme stresses process discipline before tool selection. Each participant or group develops an automation use case, identifies risks and human review points, and prepares a realistic pilot plan that can be taken forward with internal technical teams where required.

Organizational Benefits

• Reduced manual effort in repetitive business processes.
• Improved process consistency and response times.
• Better identification of high-value automation opportunities.
• Stronger coordination between business users and technical teams.
• Lower operational risk through defined human review and exception handling.
• A practical pipeline of AI-enabled automation initiatives.

Certification

Participants who successfully complete this course will receive a Certificate of Course Completion from Devimpact Institute, recognizing the knowledge, practical skills and competencies developed through the programme.

Tailor-Made Course

This course can be customized and delivered as an in-house programme to address the specific policies, systems, sector context and capacity-development priorities of an organization. The course duration, modules, case studies and practical exercises may be adjusted following a training needs assessment.