{"podcast":{"title":"Shift AI","slug":"shift-ai-6053314","podcast_index_feed_id":6053314,"rss_url":"https://anchor.fm/s/d9de509c/podcast/rss","website_url":"https://www.shiftaipodcast.com","image_url":"https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_nologo/36452255/36452255-1692047143025-766b5370e90cf.jpg","author":"Boaz Ashkenazy","episode_count":105,"summary":"Shift AI explores how AI and ML is changing the way that we work in the digital age. The show's creator Boaz Ashkenazy interviews thought leaders who are redefining how businesses and employees will be impacted by emerging technology today and in the future | Visit shiftaipodcast.com","last_synced_at":"2026-07-26T20:20:10.450756+00:00","page_url":"https://stenobird.com/podcast/shift-ai-6053314"},"episode":{"title":"Unprompted Intelligence in High-Stakes AI with Hebbia CTO Aabhas Sharma","slug":"unprompted-intelligence-in-high-stakes-ai-with-hebbia-cto-aabhas-sharma","published_at":"2026-06-09T16:34:45+00:00","page_url":"https://stenobird.com/podcast/shift-ai-6053314/unprompted-intelligence-in-high-stakes-ai-with-hebbia-cto-aabhas-sharma","show_page_url":"https://stenobird.com/podcast/shift-ai-6053314","url":"https://podcasters.spotify.com/pod/show/shift-ai/episodes/Unprompted-Intelligence-in-High-Stakes-AI-with-Hebbia-CTO-Aabhas-Sharma-e3kiar3","audio_url":"https://anchor.fm/s/d9de509c/podcast/play/121235747/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-5-9%2F425816612-44100-2-b224dca3478b6.mp3","summary":"In this episode of the Shift AI Podcast, Aabhas Sharma, CTO at Hebbia, joins host Boaz Ashkenazy for a deep conversation on what it actually takes to deploy AI in high-stakes institutional environments — and why the bar is far higher than most tools can meet. Aabhas shares his path from running engineering at Postmates through its Uber acquisition, to a five-year stint as CTO at fintech startup Found, to his current role at Hebbia which began as a year-long advisory engagement before he joined formally. From there, the conversation dives into the core problem Hebbia solves: knowledge workers at the world's top investment banks, asset managers, and private equity firms buried in thousands of documents, needing multi-step analysis that existing tools simply can't handle. The discussion covers how Hebbia thinks about the interplay between deterministic software and large language models using LLMs only where generative reasoning is truly needed and keeping everything else rules-based, auditable, and fast. Aabhas explains the company's "forward deployed banker" model, where former investment bankers and transaction lawyers embed with customers to encode each firm's unique institutional methodology into Hebbia's platform. Boaz and Aabhas also explore what trust actually means in practice in regulated industries: explainability at the clause level, consistency across runs, and deliberate human checkpoints built into every workflow. They dig into the adoption dynamics at junior versus senior levels, the governance challenges that come with agentic systems, and why earning autonomy must be incremental in high-stakes environments. The episode closes with a striking observation: firms layering AI on top of existing processes are just moving bottlenecks. The firms that…","meta_description":"In this episode of the Shift AI Podcast, Aabhas Sharma, CTO at Hebbia, joins host Boaz Ashkenazy for a deep conversation on what it actually takes to depl…","key_points":[],"chapters":[],"topics":[],"duration_seconds":2004,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/shift-ai-6053314/episodes/unprompted-intelligence-in-high-stakes-ai-with-hebbia-cto-aabhas-sharma/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/shift-ai-6053314/unprompted-intelligence-in-high-stakes-ai-with-hebbia-cto-aabhas-sharma.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}