🎧 Every's Head of Consulting Just Automated Her Job

2026-02-04 · Source: AI & I - Every · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Corporate Strategy & Leadership, Project & Product Management · Depth: Intermediate, medium

Summary

Every Consulting has released a new "AI & I" podcast episode featuring Natalia Quintero, Every's head of consulting, discussing insights from helping over 100 companies adopt AI. The conversation, with Dan Shipper, highlights that successful AI adoption stems from leadership commitment, empowering early adopters, and providing creative space for experimentation. Quintero's personal experience with "vibe coding" led to building Claudie, an AI project manager running on Opus 4.5, which reduced her weekly project management workload from 15 hours to one. The episode also details how a private equity client, by connecting data sources to ChatGPT with custom prompts, cut investment memo creation from three weeks to 30 minutes. Every is also hosting a 90-minute session on OpenClaw for paid subscribers on Friday at 12 p.m. ET.

Key takeaway

For Directors of AI/ML evaluating enterprise AI strategies, prioritize securing executive buy-in and establishing dedicated "play" time for your teams. Your organization's AI progress directly correlates with leadership's engagement and the freedom employees have to experiment, iterate, and even fail, leading to breakthroughs like the Claudie AI project manager or accelerated document creation.

Key insights

Successful AI adoption requires top-down leadership, empowering early adopters, and dedicated experimentation time.

Principles

• AI adoption needs top-down leadership commitment.
• Empower internal AI champions to drive adoption.
• Provide creative space for AI experimentation.

Method

Identify internal AI champions, map granular workflows, and apply AI to high-leverage tasks, allowing for iterative development and error rectification.

In practice

• Use AI agents like Claudie for project management.
• Connect proprietary data to LLMs for rapid document generation.
• Dedicate specific time for AI tool experimentation.

Topics

• AI Adoption Strategies
• AI Consulting
• AI Project Management
• Large Language Models
• Workflow Automation

Best for: Director of AI/ML, Executive, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI & I - Every.