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CAIBP-CORE Exam Guide

Certified AI Business Professional - Core Operations

Curriculum created: September 15, 2025

Exam Overview

  • Exam Code: CAIBP-CORE
  • Duration: 60 minutes
  • Format: Practical assessment via screen sharing
  • Passing Score: 80% (4 out of 5 tasks)
  • Prerequisites: None
  • Language: Polish or English
  • Exam Fee: $220 USD

Exam Domains and Weights

Domain 1: AI-First Strategic Thinking (15%)

  • Developing AI-First mindset and decision frameworks
  • Using LLMs for market analysis and opportunity identification
  • Deep research methodologies with AI
  • Competitive intelligence gathering and analysis
  • Strategic planning with AI assistance

Domain 2: Product Development with AI Assistants (20%)

  • AI-powered product ideation and validation
  • Using LLMs for customer research and insights
  • MVP development with AI support
  • Feature prioritization using data analysis
  • Pricing strategy development with AI

Domain 3: Sales Excellence with AI (15%)

  • AI-assisted lead qualification and scoring
  • Sales conversation intelligence
  • Proposal and pitch generation with LLMs
  • Customer needs analysis using AI
  • Sales forecasting and pipeline management

Domain 4: Marketing Intelligence & Content Strategy (15%)

  • Deep research for content strategy
  • Brand voice development with AI
  • Campaign planning and optimization
  • Customer journey mapping with AI insights
  • Marketing analytics and attribution

Domain 5: Operational Intelligence (10%)

  • Using AI for process optimization
  • Decision support systems
  • Resource allocation with AI
  • Quality assurance with LLMs
  • Performance monitoring and improvement

Domain 6: Data-Driven Decision Making (10%)

  • Building decision frameworks with AI
  • Scenario planning and modeling
  • Risk assessment using AI analysis
  • KPI development and tracking
  • Predictive analytics for business planning

Domain 7: AI Advisory & Intelligence Systems (15%)

  • Building personalized AI advisors for different roles
  • Training LLMs on company knowledge
  • Creating decision support workflows
  • Implementing feedback loops for continuous improvement
  • Strategic recommendation systems
  • Executive briefing and reporting with AI
  • Cross-functional AI assistant coordination

Exam Task Types

Candidates will be required to complete 5 tasks from the following categories:

Strategic Research Task

  • Conduct deep research and analysis using AI
  • Example: "Perform competitive analysis for new market entry"

Product Intelligence Task

  • Use AI to develop or improve product/service offering
  • Example: "Validate product-market fit using AI research"

Sales Optimization Task

  • Leverage AI to improve sales process or outcomes
  • Example: "Create AI-powered sales playbook for complex product"

Marketing Strategy Task

  • Develop marketing approach using AI insights
  • Example: "Design content strategy based on AI market analysis"

Advisory System Task

  • Build or configure AI advisory system
  • Example: "Create decision support system for pricing strategy"

Sample Exam Tasks

  • Task 1: Use deep research techniques to analyze market opportunity and develop entry strategy.
  • Task 2: Build AI assistant to support sales team with customer intelligence and talking points.
  • Task 3: Create comprehensive content strategy using AI for market research and topic analysis.
  • Task 4: Design AI advisory system for daily business decisions and strategic recommendations.
  • Task 5: Develop data-driven pricing model using AI competitive analysis and market research.

Evaluation Criteria

Each task is evaluated on:

  • Strategic Value (30%) - Business impact and relevance
  • AI Mastery (30%) - Sophisticated use of LLMs and AI tools
  • Research Depth (25%) - Quality of analysis and insights
  • Practical Application (15%) - Real-world applicability

Pre-Exam Requirements

Before scheduling exam, candidates must submit:

  • Case study demonstrating AI implementation in business context
  • Examples of AI-assisted decision making
  • Brief description of AI tools and methodologies used

Exam Environment

Technical Requirements:

  • Stable internet connection
  • Screen sharing capability (Zoom)
  • Access to AI tools (ChatGPT/Claude/Gemini or similar)
  • Spreadsheet software for analysis
  • Web browser (Chrome recommended)
  • Note-taking application

Allowed Resources:

  • Any AI assistant
  • Personal prompt libraries
  • Business frameworks and templates
  • Research tools and databases
  • Documentation websites

Not Allowed:

  • Pre-prepared analyses or reports
  • Third-party assistance
  • Copy-paste from other's work
  • External consultants during exam

Scoring and Results

  • Pass: 80% or higher (4-5 tasks completed successfully)
  • Fail: Below 80% (3 or fewer tasks completed)
  • Results provided within 24 hours
  • Digital certificate issued within 48 hours (if candidate has active CAIBA certification)
  • Physical certificate mailed within 14 days (if candidate has active CAIBA certification)

Certification Validity

  • Certificate valid for 2 years
  • Can be renewed by passing CAIBE-LAB or demonstrating continuous professional development
  • Qualifies holder for advanced specialization tracks
  • Recognized as professional AI business competency

Exam Registration

  • Submit pre-exam requirements package
  • Schedule exam slot (Mon-Fri, 9:00-17:00)
  • Receive confirmation with meeting link
  • Join 5 minutes before scheduled time

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