---
id: "framework-obelisk-roles"
type: "framework"
source_timestamps: ["§ The Rise of the Consulting Obelisk"]
tags: ["organizational-design", "talent-management", "roles"]
related: ["concept-consulting-obelisk", "question-talent-pipeline-transition"]
steps: ["\\\"AI Facilitators: Early-career consultants trained in AI tools and data pipelines. They design and refine AI-driven workflows to generate insights at speed", "emphasizing technical fluency and applied judgment.\\\"", "\\\"Engagement Architects: Experienced consultants who lead projects. They define the problems", "interpret AI outputs with human judgment", "translate them into actionable strategies", "and orchestrate workflows.\\\"", "\\\"Client Leaders: Senior executives focused on the long game. They cultivate deep", "trusted relationships", "help clients make sense of change", "and advise on staying ahead of disruption.\\\""]
sources: ["reskilling"]
sourceVaultSlug: "hbr-seg-reskilling"
originDay: 10
articleStem: "hbr-edu-44-ai-changing-consulting-structure"
sourceUrl: "https://hbr.org/2025/09/ai-is-changing-the-structure-of-consulting-firms"
sourceTitle: "AI Is Changing the Structure of Consulting Firms"
---
# The Three Roles of the Consulting Obelisk

The [[concept-consulting-obelisk]] replaces the traditional hierarchy with **three core human roles** designed to leverage AI and deliver high-speed insight. Together they create a natural pipeline for talent development in the AI age, balancing technical fluency, human judgment, and relationship building.

1. **AI Facilitators** — early-career consultants trained in AI tools and data pipelines. They design and refine AI-driven workflows to generate insights at speed; emphasis on technical fluency and applied judgment. *(This is the new entry-level role that replaces the old grunt-work analyst.)*
2. **Engagement Architects** — experienced consultants who lead projects: they define the problem, interpret AI outputs with human judgment, translate them into actionable strategy, and orchestrate the workflow.
3. **Client Leaders** — senior executives focused on the long game: cultivating deep, trusted relationships, helping clients make sense of change, and advising on staying ahead of disruption.

**External validation (enrichment):** Starmind independently describes the same three roles — AI Facilitators "fluent in data pipelines, prompt engineering, AI workflow orchestration"; Engagement Architects/strategists who "define problems, interpret AI outputs, orchestrate change"; and Client Leaders who "cultivate trust" with "smaller AI-augmented teams." **Open question:** how legacy firms retool massive MBA recruiting pipelines toward these roles — see [[question-talent-pipeline-transition]]. Note the diamond variant emphasizes a *thick* Engagement-Architect middle — see [[concept-alternative-firm-geometries]].