The Augmented Consultant
Overview
Challenges
Summary
Included in the full report
Shift from PS 1.0 to PS 2.0:
The transition is marked by a move from effort-based value (billable hours) to outcome-based value (measurable customer outcomes) through AI integration.
Role of Augmented Consultant:
Consultants evolve into orchestration roles, leveraging AI to enhance delivery, requiring skills in AI management, data interpretation, and ethical governance.
AI-Driven Labor Model:
The structure demands fewer traditional roles and more specialized skill sets in areas like AI governance, necessitating a redefined approach to talent management.
Data Rigor is Essential:
A strong emphasis on data hygiene and governance is critical for successful AI implementation, preventing unreliable output and ensuring system integrity.
Financial Roadmap for Adoption:
Organizations must budget effectively for AI transition, focusing on optimizing internal workflows and subsequently embedding AI into client delivery for enhanced outcomes.
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