--- title: Why We Killed Our Multi-Agent Pipeline — Subbiah... description: Engineers at ZS Associates share lessons from building and then redesigning a multi-agent pipeline for pharmaceutical commercial analytics. The original system... canonical: https://daily.dev/posts/why-we-killed-our-multi-agent-pipeline-subbiah-sethuraman-and-abhilash-asokan-zs-associates-pnnsxogba twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Why We Killed Our Multi-Agent Pipeline — Subbiah Sethuraman and Abhilash Asokan, ZS Associates | daily.dev og:description: Engineers at ZS Associates share lessons from building and then redesigning a multi-agent pipeline for pharmaceutical commercial analytics. The original system... og:url: https://daily.dev/posts/why-we-killed-our-multi-agent-pipeline-subbiah-sethuraman-and-abhilash-asokan-zs-associates-pnnsxogba og:image: https://api.daily.dev/og/posts/PNNsXogBA.png og:image:alt: Why We Killed Our Multi-Agent Pipeline — Subbiah Sethuraman and Abhilash Asokan, ZS Associates og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Why We Killed Our Multi-Agent Pipeline — Subbiah Sethuraman and Abhilash Asokan, ZS Associates **[AI Engineer](https://daily.dev/sources/aidotengineer)** · 15 min read · 0 upvotes · 0 comments ## Summary Engineers at ZS Associates share lessons from building and then redesigning a multi-agent pipeline for pharmaceutical commercial analytics. The original system had five specialized agents (signal detection, source localization, driver attribution, synthesis, orchestrator) that suffered from context loss at handoffs, inconsistent reasoning, and no shared business domain knowledge. The team rebuilt the system by: (1) separating deterministic signal detection into a pre-agent statistical pipeline, (2) consolidating distributed reasoning into a single agent that spawns focused sub-agents only for investigation tasks, and (3) building a knowledge graph from domain experts that acts as a control plane guiding the agent's hypothesis traversal. The result reduced a 3-4 week analyst workflow to 20-30 minutes. Key takeaways: avoid imposing human workflow constraints on agent architecture, keep deterministic steps out of agents, centralize end-to-end reasoning in one agent, and treat knowledge graphs as control planes rather than lookup tables. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [From firefighting to building: How AI agents restored our team’s core productivity](https://daily.dev/posts/from-firefighting-to-building-how-ai-agents-restored-our-team-s-core-productivity-zfyvdslnl) · Grab Tech Blog · 2 upvotes · 0 comments - [Where does your multi-agent system actually break?](https://daily.dev/posts/where-does-your-multi-agent-system-actually-break--8hywllr6u) · Medium · 3 upvotes · 0 comments - [Why I Stopped Using One Agent and Built a Multi-Agent Pipeline Instead](https://daily.dev/posts/why-i-stopped-using-one-agent-and-built-a-multi-agent-pipeline-instead-mkq8bhaeb) · Towards Data Science · 1 upvotes · 0 comments --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#agentic-ai](https://daily.dev/tags/agentic-ai) [View this post on daily.dev](https://daily.dev/posts/why-we-killed-our-multi-agent-pipeline-subbiah-sethuraman-and-abhilash-asokan-zs-associates-pnnsxogba) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Why We Killed Our Multi-Agent Pipeline — Subbiah Sethuraman and Abhilash Asokan, ZS Associates","url":"https://daily.dev/posts/why-we-killed-our-multi-agent-pipeline-subbiah-sethuraman-and-abhilash-asokan-zs-associates-pnnsxogba","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/why-we-killed-our-multi-agent-pipeline-subbiah-sethuraman-and-abhilash-asokan-zs-associates-pnnsxogba"},"datePublished":"2026-07-23T05:23:01.333Z","dateModified":"2026-07-23T05:23:26.732Z","description":"Engineers at ZS Associates share lessons from building and then redesigning a multi-agent pipeline for pharmaceutical commercial analytics. 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