--- title: How to choose your first Genie Agents for maximum impact description: A framework for selecting which Databricks Genie Agents to build first is presented, using a five-criteria rubric: impact, demand, data readiness, scope, and... canonical: https://daily.dev/posts/how-to-choose-your-first-genie-agents-for-maximum-impact-cwrlhztcy twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: How to choose your first Genie Agents for maximum impact | daily.dev og:description: A framework for selecting which Databricks Genie Agents to build first is presented, using a five-criteria rubric: impact, demand, data readiness, scope, and... og:url: https://daily.dev/posts/how-to-choose-your-first-genie-agents-for-maximum-impact-cwrlhztcy og:image: https://api.daily.dev/og/posts/CwrlHZTCy.png og:image:alt: How to choose your first Genie Agents for maximum impact 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. # How to choose your first Genie Agents for maximum impact **[databricks](https://daily.dev/sources/databricks)** · 6 min read · 1 upvotes · 0 comments ## Summary A framework for selecting which Databricks Genie Agents to build first is presented, using a five-criteria rubric: impact, demand, data readiness, scope, and governance, each scored 1-5. Totals of 20-25 mean build now, 14-19 mean shape further, and under 14 means hold off, with an executive champion required regardless of score. Four anonymized field examples illustrate high-scoring quick wins, champion-driven adoption despite mediocre scores, high-impact-but-low-data-readiness failures, and demand-driven rapid builds, alongside brief customer mentions (Banco Bradesco, Unilever, Coty, The Trade Desk). ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What criteria should I use to decide which AI agent use case to build first? Score each candidate workflow 1-5 on five criteria: impact, demand, data readiness, scope, and governance, then sum the totals. A score of 20-25 means build now, 14-19 means the workflow needs more shaping, and under 14 means it isn't ready yet. Regardless of score, proceeding without an active business owner or executive sponsor driving adoption is a reason to hold off. _daily.dev surfaces practical frameworks like this for teams weighing which AI agent pilots to prioritize._ ### Why do enterprise AI agent pilots fail even when the use case seems important? Two failure patterns recur: the 'everything agent' tries to answer any question across an entire department, and scope sprawl drags down accuracy until a single wrong answer erodes trust; the 'vanity demo' impresses in an executive meeting but is scoped so narrowly that nobody returns to it afterward. A high-impact workflow can also fail if underlying data has metadata gaps, producing inconsistent answers that erode user trust. _developers scoping agent projects track real-world failure patterns like this on daily.dev._ ## Similar posts on daily.dev - [How to roll out Genie One: A step-by-step enterprise playbook](https://daily.dev/posts/how-to-roll-out-genie-one-a-step-by-step-enterprise-playbook-ou1zioean) · databricks · 1 upvotes · 0 comments - [Designing effective Genie Agents from a single prompt](https://daily.dev/posts/designing-effective-genie-agents-from-a-single-prompt-omceavtz1) · databricks · 1 upvotes · 0 comments - [Databricks releases agentic coworker Genie One](https://daily.dev/posts/databricks-releases-agentic-coworker-genie-one-cjqrzqgi7) · SD Times · 1 upvotes · 0 comments --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#big-data](https://daily.dev/tags/big-data), [#databricks](https://daily.dev/tags/databricks) [View this post on daily.dev](https://daily.dev/posts/how-to-choose-your-first-genie-agents-for-maximum-impact-cwrlhztcy) ```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":"How to choose your first Genie Agents for maximum impact","url":"https://daily.dev/posts/how-to-choose-your-first-genie-agents-for-maximum-impact-cwrlhztcy","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/how-to-choose-your-first-genie-agents-for-maximum-impact-cwrlhztcy"},"datePublished":"2026-10-02T16:35:32.986Z","dateModified":"2026-10-02T16:44:33.408Z","description":"A framework for selecting which Databricks Genie Agents to build first is presented, using a five-criteria rubric: impact, demand, data readiness, scope, and...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/fe6c716764978bbc8787881c0ce08d41?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/fe6c716764978bbc8787881c0ce08d41?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"databricks","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"databricks","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/fa7aa720f2db4d1eba826814730482c8","url":"https://daily.dev/sources/databricks"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/how-to-choose-your-first-genie-agents-for-maximum-impact-cwrlhztcy","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai-agents,big-data,databricks","timeRequired":"PT6M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"databricks","item":"https://daily.dev/sources/databricks"},{"@type":"ListItem","position":3,"name":"How to choose your first Genie Agents for maximum impact"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/how-to-choose-your-first-genie-agents-for-maximum-impact-cwrlhztcy#faq","mainEntity":[{"@type":"Question","name":"What criteria should I use to decide which AI agent use case to build first?","acceptedAnswer":{"@type":"Answer","text":"Score each candidate workflow 1-5 on five criteria: impact, demand, data readiness, scope, and governance, then sum the totals. 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