The Billable Hour is Dead; Long Live the Billable Hour
summary
An internal GenAI platform with 20 engineers reaches 50+ deployments and cuts tasks from days to minutes by using structured outputs, retrieval-augmented generation that handles hundreds of gigabytes and LLM-taught API calls, and schema-based extraction with log‑prob confidence checks. Real results include 95% accuracy classifying 10,000 vendors and democratized access to siloed data; prototypes live in React with monthly demos, and rollout demands business-aligned taxonomies and rigorous validation.
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chapters (11)
- 0:00Introduction to Alix Partners and the AI Shift
- 1:05How AI is Reshaping Knowledge Work
- 2:19The Future of Professional Services Models with AI
- 3:36AI's Impact on the Three Phases of Engagements
- 5:07Scaling Data Analysis Beyond Human Limitations
- 6:36The Paradox of AI Investment and Productivity
- 7:22Use Case 1: Categorization with Structured Outputs
- 10:34Use Case 2: Retrieval-Augmented Generation (RAG)
- 12:46Use Case 3: Structured Data Extraction from Unstructured Data
- 15:54Key Requirements for Scaling GenAI Initiatives
- 16:48Final Thoughts: The Future of LLMs in the Enterprise
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