---
title: 'Boston Consulting Group: GPT-4 integrated into individual consulting task flows'
slug: bcg-gpt4-jagged-frontier
stable_id: 0dc0a03188456b2e
company: Boston Consulting Group
function_code: engineering
pattern_codes:
  - creator_to_judge
evidence_strength: verified
publication_tier: showcase
freshness: current
reviewed_at: '2026-08-23'
updated_at: '2026-08-22'
source_quality_summary: 2 independent; publication outcomes are verified.
caveat_summary: >-
  Experimental tasks approximated consulting work but were not client delivery; the
  negative out-of-frontier result is as important as the positive averages.
collections:
  - negative-results
bundle_version: 1.0.0
bundle_fingerprint: sha256:c23c6cc2b88153d008ea8fda928f632ce0011fc2d4c5036672a16e5d895bab93
canonical_url: https://brianletort.ai/transformations/bcg-gpt4-jagged-frontier
---

# Boston Consulting Group: GPT-4 integrated into individual consulting task flows

That access to a general model improves all apparently similar knowledge tasks.

Function: Engineering design. Patterns: Creator to judge. Evidence: verified.

Freshness: current. Reviewed: 2026-08-23. Updated: 2026-08-22.


Source quality: 2 independent; publication outcomes are verified.

## Before

1. **Consultant** — Analyze source materials, generate ideas, and draft recommendations unaided by GPT-4. (control: Professional judgment)
2. **Consultant** — Check coherence and submit the work. (control: Human accountability)

## After

1. **Consultant with GPT-4** — Delegate or interleave ideation, analysis, and drafting with the model. (control: User prompting and task choice)
2. **Consultant** — Verify, revise, and submit model-assisted work. (control: Human final decision)

## Decision rights

The model proposes content and analysis; the consultant owns verification and the submitted answer.

## Exception path

For tasks outside the model's capability frontier, consultants must solve independently or validate against source evidence rather than accept the model's confident answer.

## Outcomes

- **Task completion speed and correctness by task type** (verified): Randomized no-AI control consultants → Inside the frontier: 25.1% faster, 12.2% more tasks, over 40% higher quality; outside the frontier: 19 percentage points less likely to be correct. Experimental tasks approximated consulting work but were not client delivery; the negative out-of-frontier result is as important as the positive averages.

## Executive lesson

The operating control is task classification, not generic prompt training; users need a way to recognize when the model is outside its frontier.

## Anti-pattern

Applying the positive average to all knowledge work or assuming prompt training eliminates frontier risk.

## Questions for leaders

- How will users identify out-of-frontier tasks?
- What evidence must be checked before submission?

## Sources

- [Navigating the Jagged Technological Frontier](https://mitsloan.mit.edu/sites/default/files/2023-10/SSRN-id4573321.pdf) — Harvard Business School / MIT Sloan working paper
- [Navigating the Jagged Technological Frontier: Working Paper](https://www.hbs.edu/faculty/Pages/item.aspx?num=64700) — Harvard Business School