Source: Bain & Company
Individual
Enterprise
Out of the box
Tailored
Personal productivity AI
(Chat-based AI/copilots)
Amplified intelligence AI
(Tailored individual assistants)
Embedded assistant AI
(AI embedded within enterprise software)
Digital worker AI
(Customized or bespoke, purpose-built solutions)
Benefits:
Rapid uplift in individual output
Fosters experimentation and AI fluency
Builds intuition through usage, not training
Acts as a cultural on-ramp for broader AI adoption
Cautions:
Individual gains may not aggregate without coordination
Fluency does not equal transformation, but it's a necessary precondition
Benefits:
Tailors intelligence to individual roles, responsibilities, and workflows
Supports admin and core work with context-rich, timely guidance
Multiplies the reach of experts by reducing knowledge and analysis bottlenecks
Cautions:
Requires clean, permission-aware data (enterprise, external, proprietary)
Adoption hinges on building trust in accuracy, explainability, and contextual relevance
Benefits:
Low-lift implementation scales efficiency across the enterprise
Relatively low friction in adoption and change management
Speeds time-to-value using existing systems
Cautions:
Gains are real but incremental without deeper workflow redesign
May reinforce legacy processes absent transformation ambition
Benefits:
Redefines delivery models and cost curves
Creates durable competitive advantage
Automates multistep, cross-functonal high-value work
Shifts human roles toward oversight, exception handling, and innovation
Cautions:
Depends on redesigning processes, investing in infrastructure, and rethinking workflows
Requires deep collaboration between business and technical teams
Not plug-and-play—requires ownership, iteration, and evolution
Individual
Personal productivity AI
(Chat-based AI/copilots)
Personal productivity AI
(Chat-based AI/copilots)
Embedded assistant AI
(AI embedded within enterprise software)