---
title: "How to choose your first Genie Agents for maximum impact"
description: "With over 1 million Genie Agents created in 2026, the challenge is selecting which to build first for maximum impact. The post presents a rubric scoring candidate workflows on five variables: business impact, demand frequency, data readiness, scope clarity, and governance risk. Scores of 20-25 indicate readiness to build, 14-19 need shaping, and under 14 suggest the workflow is not a good fit; an executive champion is essential regardless of score. Examples include a pension fund’s risk Q&A agent that scored high and saw quick adoption, and a wealth manager’s analytics agent that failed due to metadata gaps. The rubric helps avoid common pitfalls like the ‘everything agent’ and the ‘vanity demo’ by focusing on narrow scope and governed data."
---

# How to choose your first Genie Agents for maximum impact

[Databricks](https://yomu.fyi/company/databricks) · Nasir Dakri · Oct 2, 2026

**Type:** Problem & solution

## Summary

With over 1 million Genie Agents created in 2026, the challenge is selecting which to build first for maximum impact. The post presents a rubric scoring candidate workflows on five variables: business impact, demand frequency, data readiness, scope clarity, and governance risk. Scores of 20-25 indicate readiness to build, 14-19 need shaping, and under 14 suggest the workflow is not a good fit; an executive champion is essential regardless of score. Examples include a pension fund’s risk Q&A agent that scored high and saw quick adoption, and a wealth manager’s analytics agent that failed due to metadata gaps. The rubric helps avoid common pitfalls like the ‘everything agent’ and the ‘vanity demo’ by focusing on narrow scope and governed data.

## Approach / What changed

A rubric scoring candidate workflows on five variables (business impact, demand frequency, data readiness, scope clarity, governance risk) from 1-5 each, with total scores indicating readiness: 20-25 build now, 14-19 shape first, under 14 hold off. An executive champion is required regardless of score.

## Takeaways

- The most common reason a Genie Agent pilot stalls is building it for the wrong workflow, not accuracy.
- A candidate workflow scoring 20-25 on the five-variable rubric indicates readiness to build, while scores under 14 suggest the workflow is not a good fit.
- An executive champion is essential for adoption; without one, building should be delayed regardless of the rubric score.

## FAQ

### What are the five variables in the Genie Agent rubric?

The five variables are business impact, demand and repetitiveness, data and metadata readiness, scope clarity, and governance and risk fit. Each is scored 1-5.

### What score indicates a workflow is ready to build?

A total score of 20-25 means the workflow is ready to build now. Scores 14-19 need more shaping, and under 14 is not a good fit.

### Why is an executive champion important?

An executive champion drives adoption; without one, even a high-scoring agent may not be adopted. The post states that top-down influence turns a performant agent into an adopted one.

**Tags:** [Genie Agents](https://yomu.fyi/topic/genie-agents)

- Source: [Databricks](https://www.databricks.com/blog/how-choose-your-first-genie-agents-maximum-impact)
- Source URL: https://www.databricks.com/blog/how-choose-your-first-genie-agents-maximum-impact
- Ingested by Yomu: 2026-10-02T18:00:11.062Z

[Read original post](https://www.databricks.com/blog/how-choose-your-first-genie-agents-maximum-impact)