JSLeague

Course duration

1 day

Prerequisites

85%
Executive leadership experience
75%
Strategic decision-making authority

Course Overview

This intensive 1-day program transforms management executives into AI-ready leaders capable of making strategic implementation decisions. Designed specifically for IT outsourcing companies seeking to integrate AI capabilities, participants will master frameworks, security protocols, and hands-on tools needed to lead successful AI transformation initiatives.

Key Focus Areas

Strategic Framework: Deloitte's AI governance methodology for enterprise deployment
Security & Ethics: Responsible AI implementation with risk mitigation strategies
Practical Application: Hands-on prompt engineering across multiple AI platforms
Implementation Roadmap: 90-day action plan with concrete next steps

Session 1: AI Foundation & Strategic Context

AI Demystified
- What AI is and isn't: Machine Learning, GenAI, NLP basics
- Current state of AI technology in 2025
- AI vs automation: Understanding the difference
AI in IT Outsourcing Context
- Industry transformation trends
- Competitive landscape analysis
- Client expectations evolution
Strategic Imperative
- Market pressures and opportunities
- Cost optimization potential
- Revenue generation possibilities
- Risk of inaction

Interactive Element: Quick AI readiness assessment survey

Session 2: Deloitte AI Strategy Framework

Deloitte AI Governance Framework Overview
- Strategy & Vision alignment
- Risk management & compliance
- Data governance & infrastructure
- Talent & organizational change
- Technology architecture & operations
- Performance measurement & value realization
Strategic Implementation Approach
- Bold enterprise-wide strategy development
- Leadership alignment requirements
- Vision and mission integration
- Stakeholder engagement strategies

Workshop Activity: Framework application exercise using company scenarios

Session 3: AI Security & Ethics

AI Security Essentials
- Prompt injection and adversarial attacks
- Data privacy and protection concerns
- Model security and intellectual property
- Third-party AI service risks
- NIST AI Risk Management Framework basics
Ethical AI & Governance
- Bias detection and mitigation
- Transparency and explainability requirements
- Fairness and accountability principles
- Regulatory compliance landscape (EU AI Act, etc.)
- Board-level oversight responsibilities

Case Study: Analysis of AI ethics failures and lessons learned

Session 4: Hands-on Prompt Engineering Workshop

Platform Overview
- ChatGPT/GPT-4 capabilities and limitations
- Google Gemini features and use cases
- Other emerging models (Claude, etc.)
- When to use which platform
Prompt Engineering Fundamentals
- Clear instruction writing
- Context setting and examples
- Chain-of-thought prompting
- Role-based prompting techniques
Business Application Workshop
- Client communication enhancement
- Code review and documentation
- Project planning and risk assessment
- Proposal writing and competitive analysis
- Customer support automation

Hands-on Exercise: Teams create prompts for specific business scenarios

Session 5: AI Implementation Strategy & Change Management

Implementation Roadmap Development
- Pilot project identification criteria
- Phased rollout strategies
- Resource allocation planning
- Technology infrastructure requirements
- Vendor selection frameworks
Organizational Change Management
- Employee upskilling and reskilling needs
- Communication strategies
- Resistance management
- Culture transformation requirements
- Leadership modeling behaviors

Strategy Session: Draft company-specific AI implementation priorities

Session 6: Action Planning & Next Steps

Immediate Actions
- 30-60-90 day priorities
- Quick wins identification
- Resource requirements
Governance Structure Setup
- AI steering committee formation
- Roles and responsibilities definition
- Decision-making processes
Success Metrics & KPIs
- Performance measurement frameworks
- ROI calculation methods
- Risk monitoring indicators

Deliverable: Each participant creates individual action plan with commitments

Frameworks & Tools Covered

Strategic Planning: Deloitte AI Governance Framework, NIST AI Risk Management
Security Protocols: AI Security Assessment, Risk Mitigation Strategies
AI Platforms: ChatGPT/GPT-4, Google Gemini, Claude, Sora
Implementation Tools: Change Management, Vendor Evaluation, ROI Calculation
Governance Methods: Ethics Guidelines, Compliance Frameworks, Performance Metrics

Key Deliverables

AI Strategy Document: Company-specific AI implementation roadmap
Security & Ethics Framework: Governance structure and risk mitigation protocols
90-Day Action Plan: Detailed implementation timeline with milestones
Prompt Engineering Library: Business-ready templates and use cases
ROI Measurement Framework: Success metrics and performance indicators

Target Participants

C-Level Executives: CEOs, CTOs, CDOs leading digital transformation
Senior Management: VPs of Technology, Operations Directors
Department Heads: Business Unit Leaders, Practice Managers
Strategy Leaders: Business Development VPs, Innovation Directors
Risk & Compliance: Chief Risk Officers, Compliance Managers

Industry Applications

Software Development: AI-assisted coding, automated testing, code reviews
Customer Support: Intelligent chatbots, sentiment analysis, ticket routing
Project Management: Risk prediction, resource optimization, timeline forecasting
Business Operations: Process automation, document generation, data analysis
Sales & Marketing: Lead qualification, proposal automation, competitive intelligence
Quality Assurance: Automated testing, defect prediction, performance monitoring

Expected Outcomes

By the end of this training, participants will:

Have developed a comprehensive AI implementation strategy for their organization
Understand security risks and ethical considerations for responsible AI deployment
Possess hands-on experience with leading AI platforms and prompt engineering
Have created governance frameworks and risk mitigation protocols
Developed a 90-day action plan with clear milestones and success metrics
Built the confidence and knowledge to lead enterprise AI transformation initiatives