Organizational AI Maturity Model

Understand how AI will fundamentally reshape how your company operates and how to lead through each stage.

The Model ​

In today's rapidly evolving business landscape, artificial intelligence has emerged as a transformative force with the potential to revolutionize how organizations operate, make decisions, and create value. Convictional's Organizational AI Maturity Model maps this journey through five distinct levels, highlighting evolution in decision making, organizational knowledge and company culture and values. This model serves as a roadmap for solving the Decision Context Problem - the silent drain on business performance that occurs when teams lack crucial context for effective decision-making.

Level 1
Individual Adoption

Employees independently adopt AI tools for task productivity and individual decision making

CEO Perspective

"AI is for personal productivity."

AI Scope
  • Individual tasks and decisions
  • AI gets context from individual prompts
Org Changes
  • No formal org changes
  • AI power users emerge
Example Use Cases
  • Marketing using LLMs to generate copy
  • Developers leveraging AI for code completion
  • Analysts use AI to clean up data
  • Individuals record meetings for summarization
Level 2
Functional Utilization

Departments implement AI for targeted use cases, with a focus on automation

CEO Perspective

"AI is for departmental workflow automation."

AI Scope
  • Functional workflows
  • AI gets context from narrowly scoped domains, largely defined by legacy SaaS tools
Org Changes
  • AI champions emerge
  • Department AI tools implemented
Example Use Cases
  • Sales teams implement meeting recording to summarize client calls and capture action items
  • Customer service teams deploy AI chatbots for handling routine inquiries
  • HR departments using AI-powered screening tools to evaluate job candidates
Level 3
Integrated Functions

AI solutions connect across departments, increasingly supporting decision making

CEO Perspective

"AI is for cross-functional knowledge sharing."

AI Scope
  • Cross-functional workflows
  • AI tools being to support persistent company knowledge as context
Org Changes
  • Cross-functional AI ops teams
  • Early stages of AI governance
Example Use Cases
  • Cross-departmental knowledge bases with AI retrieval systems accessible to all employees
  • AI meeting assistants that attend, record, and summarize meetings across all departments
  • Integrated AI writing assistants with access to company style guides, product information, and legal guidelines
Level 4
Enterprise Intelligence

AI for business strategy and competitive advantage, with full context of the enterprise

CEO Perspective

"AI is for strategic advantage and better decision making."

AI Scope
  • Enterprise knowledge and data
  • Strategic decisions
  • AI tools understand the company and its goals
Org Changes
  • Flattened formal hierarchies as AI handles coordination tasks
  • Reorganization around decision processes instead of functional execution
Example Use Cases
  • AI-powered decision processes
  • AI meeting assistants ensure all meetings are productive and all knowledge and decisions are captured
  • Company wide task management systems with AI supporting project execution
Level 5
Judgment Centric Org

AI provides the cognitive foundation; employees offer discernment and creativity

CEO Perspective

"Employees are for judgment, creativity, accountability. AI is for everything else."

AI Scope
  • AI handles all tasks beyond human judgement work
  • AI is business-omniscient and can predict direct effects of scenarios
Org Changes
  • Traditional hierarchy fades as decision authority flows to those with best judgment and accountability
Example Use Cases
  • Comprehensive decision intelligence systems that provide complete context for any decision
  • Strategy co-pilots that align operations to company goals
  • Insight networks that connect tacit knowledge from across the organization to relevant decision points
  • AI-enabled scenario planning