AI Impact

Lead AI Transformation with Clarity

From early pilots to scaled programs, Jellyfish gives engineering leaders the data and guidance to measure AI progress, adapt quickly, and deliver lasting business impact.

Jellyfish AI Impact
Jellyfish AI Impact

Measure AI ROI

Quantify how AI impacts delivery, quality, and productivity across the SDLC using system-derived intelligence.

Optimize Tooling Investments

Compare assistants, agents, and tools in a unified framework to fund what works, cut waste, and invest with evidence.

Build AI-Enabled Teams

Understand how teams use AI, where impact happens, and how to scale successful workflows confidently.

“Thanks to Jellyfish, we now have granular AI adoption data and the ability to benchmark against non-Cursor users. With clear signals on where productivity gains are happening, we can take the learnings from the higher-performing teams and share them across the org so everyone can benefit.”

Ciaran McAuliffe

SVP of Software Development at Hootsuite

“Jellyfish gives us a picture of how Copliot is reshaping our organization. ”

Nicole Nunziata

Director of Technology Operations at Varo

The System of Record for AI in Engineering

Multi-Tool Comparison

Enablement Insights

Adoption Insights

Jellyfish AI Impact Insights

Impact Insights

Link AI usage to throughput, quality, and delivery speed using real SDLC signals for a trusted view of AI’s effect on engineering.

Jellyfish AI workflow insights

AI Workflow Insights

A unified view of how AI shapes work, combining system signals, agent performance, and real developer feedback to guide confident scaling.

Jellyfish AI spend insights

AI Spend Insights

See spend by tool, team, or initiative to prevent overruns and understand where AI investments actually create measurable value.

Jellyfish AI Auto report builder

Auto Report Builder

Generate executive-ready AI reports highlighting what’s working, what’s not, and where to invest next.

Integrations

Integrate Your Full AI Tech Stack

Unify insights across assistants, review agents, and emerging systems—without changing existing workflows.

Git
Git
Jira
Jira
Bitbucket
Bitbucket
Azure
Azure
Azure repos
Azure Repos
Azure Boards
Azure Boards
Productboard
Productboard
Github
Github
Linear
Linear
Azure DevOps
Azure DevOps
SonarQube
SonarQube
Greptile
Greptile
CodeRabbit
CodeRabbit
ProductPlan
ProductPlan
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Aha!
Git
Git
Jira
Jira
Bitbucket
Bitbucket
Azure
Azure
Azure repos
Azure Repos
Azure Boards
Azure Boards
Productboard
Productboard
Github
Github
Linear
Linear
Azure DevOps
Azure DevOps
SonarQube
SonarQube
Greptile
Greptile
CodeRabbit
CodeRabbit
ProductPlan
ProductPlan
Aha!
Aha!
Git
Git
Jira
Jira
Bitbucket
Bitbucket
Azure
Azure
Azure repos
Azure Repos
Azure Boards
Azure Boards
Productboard
Productboard
Github
Github
Linear
Linear
Azure DevOps
Azure DevOps
SonarQube
SonarQube
Greptile
Greptile
CodeRabbit
CodeRabbit
ProductPlan
ProductPlan
Aha!
Aha!
Git
Git
Jira
Jira
Bitbucket
Bitbucket
Azure
Azure
Azure repos
Azure Repos
Azure Boards
Azure Boards
Productboard
Productboard
Github
Github
Linear
Linear
Azure DevOps
Azure DevOps
SonarQube
SonarQube
Greptile
Greptile
CodeRabbit
CodeRabbit
ProductPlan
ProductPlan
Aha!
Aha!
Git
Git
Jira
Jira
Bitbucket
Bitbucket
Azure
Azure
Azure repos
Azure Repos
Azure Boards
Azure Boards
Productboard
Productboard
Github
Github
Linear
Linear
Azure DevOps
Azure DevOps
SonarQube
SonarQube
Greptile
Greptile
CodeRabbit
CodeRabbit
ProductPlan
ProductPlan
Aha!
Aha!
Github Copilot
Github Copilot
Google Gemini
Google Gemini
Amazon Q
Amazon Q
Cursor
Cursor
sourcegraph
Sourcegraph
Windsurf
Windsurf
Claude
Claude
Google Sheets
Google Sheets
Google Calender
Google Calender
Gitlab
GitLab
Slack
Slack
PagerDuty
PagerDuty
Jenkins
Jenkins
CircleCI
CircleCI
Opsgenie
Opsgenie
Github Copilot
Github Copilot
Google Gemini
Google Gemini
Amazon Q
Amazon Q
Cursor
Cursor
sourcegraph
Sourcegraph
Windsurf
Windsurf
Claude
Claude
Google Sheets
Google Sheets
Google Calender
Google Calender
Gitlab
GitLab
Slack
Slack
PagerDuty
PagerDuty
Jenkins
Jenkins
CircleCI
CircleCI
Opsgenie
Opsgenie
Github Copilot
Github Copilot
Google Gemini
Google Gemini
Amazon Q
Amazon Q
Cursor
Cursor
sourcegraph
Sourcegraph
Windsurf
Windsurf
Claude
Claude
Google Sheets
Google Sheets
Google Calender
Google Calender
Gitlab
GitLab
Slack
Slack
PagerDuty
PagerDuty
Jenkins
Jenkins
CircleCI
CircleCI
Opsgenie
Opsgenie
Github Copilot
Github Copilot
Google Gemini
Google Gemini
Amazon Q
Amazon Q
Cursor
Cursor
sourcegraph
Sourcegraph
Windsurf
Windsurf
Claude
Claude
Google Sheets
Google Sheets
Google Calender
Google Calender
Gitlab
GitLab
Slack
Slack
PagerDuty
PagerDuty
Jenkins
Jenkins
CircleCI
CircleCI
Opsgenie
Opsgenie
Github Copilot
Github Copilot
Google Gemini
Google Gemini
Amazon Q
Amazon Q
Cursor
Cursor
sourcegraph
Sourcegraph
Windsurf
Windsurf
Claude
Claude
Google Sheets
Google Sheets
Google Calender
Google Calender
Gitlab
GitLab
Slack
Slack
PagerDuty
PagerDuty
Jenkins
Jenkins
CircleCI
CircleCI
Opsgenie
Opsgenie

AI Clarity for Your Organization

Engineering Leaders

Get full visibility into delivery health to manage risk, keep teams aligned, and confidently deliver on commitments.

Platform Engineering

Pinpoint where AI improves developer productivity. Compare tools, close enablement gaps, and scale the workflows that deliver impact.
Flag on top of a mountain

Engineering Managers

See how AI affects team flow and focus to coach effectively, remove blockers early, and keep delivery predictable.
Growing bar graph and a dollar sign

Finance

Understand how AI investments impact delivery and cost efficiency to support ongoing ROI and budget assessments.

“When the AI Impact dashboard went live, the insights it generated answered leaderships questions, fully validating the Copilot investment.”

Todd Willms

Director of Engineering at Bynder

Why AI Impact

The Only Platform Measuring AI’s True ROI

Vendor-Agnostic Framework

Get a single, unbiased view of AI performance across every tool and workflow.

Outcome-Linked Analytics

Quantify ROI by connecting usage and spend to throughput, quality, and delivery outcomes.

Unified Data Model

Only Jellyfish normalizes fragmented engineering data, giving you reliable signals without tagging, migrations, or process changes.

Future-Ready Design

Built to measure next-generation agentic workflows as AI reshapes software delivery.

Resources

AI Impact Research

In-depth frameworks and guidance to support adoption, measurement, and scaling of AI.

ebook

7 AI KPIs Leaders Should Track

Learn the must-have metrics for measuring AI’s impact on speed, quality, and efficiency.
Jellyfish AI Impact Framework
research

AI Impact Framework

A practical model for measuring adoption, delivery outcomes, and ROI across your AI stack.
Jellyfish_OpenAI_research
research

Jellyfish × OpenAI Research

A deep dive into how modern AI tools reshape developer workflows and output.

Frequently Asked Questions