AI FOR PEAK PERFORMANCE: AUTOMATING WORK & ENHANCING FOCUS

Live-Online Training: N210,000
Classroom Training: N280,000
3 - 4 participants: 5% discount
5 or more participants: 10% discount

(Available also for Customised Training by Duration, Venue & Fee)

Programme Description
Modern professionals are operating under unprecedented pressure—information overload, constant interruptions, multitasking, and accelerating performance expectations. Research shows that productivity loss today is less about effort and more about attention fragmentation, manual workload, and cognitive fatigue.

Artificial Intelligence (AI) now offers powerful, practical tools that help individuals and teams automate routine work, streamline decision processes, prioritise effectively, and protect deep-focus time. When applied intentionally, AI becomes a performance multiplier—freeing mental bandwidth for strategic thinking, creativity, and execution excellence.

This three-day programme equips participants with practical AI tools, work-design strategies, and focus-enhancement frameworks to achieve sustained peak performance without burnout. The emphasis is on real workplace application, responsible use, and measurable productivity gains.

Course Content

DAY ONE
Foundations of AI-Enabled Peak Performance

The New Performance Challenge

• Why effort no longer guarantees results
• Cognitive overload, distraction, and decision fatigue
• The hidden cost of multitasking and interruptions
• Peak performance vs burnout

Data Insight:
Professionals switch tasks every 3–5 minutes, requiring up to 23 minutes to regain full focus (HBR).

Understanding AI as a Performance Partner

• AI explained in productivity terms
• AI vs traditional productivity tools
• What AI should automate—and what humans should retain
• Common myths and misuse of AI at work

Mapping Work for Automation & Focus

• Identifying:
• Repetitive tasks
• Decision-heavy tasks
• Communication overload
• Distinguishing deep work from shallow work
• Automation readiness assessment

Exercise:
Participants map their daily work and identify automation opportunities.

Ethical & Disciplined Use of AI

• Avoiding over-reliance and skill erosion
• Confidentiality and data protection
• Maintaining accountability and judgment
• Setting personal AI usage boundaries

DAY TWO
Automating Work & Reducing Cognitive Load

AI for Task & Workflow Automation

• Automating:
• Emails and responses
• Meeting summaries and follow-ups
• Task tracking and reminders
• Routine documentation
• Integrating AI into existing work tools

Data Insight:
AI automation reduces administrative workload by 35–50% (PwC).

AI for Planning, Prioritisation & Time Management

• AI-assisted daily and weekly planning
• Priority ranking and workload balancing
• Decision simplification and scenario testing
• Reducing decision fatigue

AI for Communication Efficiency

• Writing faster with clarity and precision
• Summarising long documents and messages
• Preparing briefs, updates, and reports
• Reducing email and meeting overload

Group Activity:
Redesigning a high-friction workflow using AI support.

Measuring Productivity Gains

• Time saved vs value created
• Output quality and consistency
• Avoiding productivity theatre
• Building feedback loops

DAY THREE
Enhancing Focus & Sustaining Peak Performance

AI for Focus & Deep Work Protection

• Designing AI-supported focus routines
• Automating interruptions and low-priority tasks
• Scheduling deep work blocks intelligently
• Managing energy, not just time

Data Insight:
Employees who protect deep-focus time deliver up to 50% higher-quality outputs (McKinsey).

Human–AI Collaboration for High Performance

• Using AI for insight, not distraction
• Combining intuition, experience, and AI output
• Knowing when to slow down despite automation
• Avoiding over-optimisation stress

Team & Leadership Implications

• AI-enabled team productivity norms
• Redefining performance expectations
• Preventing burnout in high-performance teams
• Leadership behaviours that protect focus culture

Developing the AI Peak Performance Action Plan

• Identifying personal or team quick wins
• Selecting AI tools and workflows
• Setting productivity and focus metrics
• 30–60–90-day performance roadmap