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Meet the Smart AI Agent

We are taking a fundamental leap forward in how you interact with your engineering data by introducing the AI Agent, a fully autonomous, data-aware successor to our previous AI Assistant.

Keypup AI Agent
User
Show me our deployment frequency for the last quarter
AI

I've generated the Deployment Frequency insight. Here is what the underlying data indicates:

AI Diagnosis

Frequency is up 15% (2.3/day). However, 70% of releases occur on Fridays, leading to a 3x higher weekend incident rate.

Proposed Path: Restrict Friday deployments to minor patches, and shift core feature releases to Tuesday-Wednesday to allow stabilization.

Your Dashboard

New Analysis
Deployment Frequency - Q4 2024
2.3 deployments/day
Trend +15% vs Q3 2024

A Smarter Way to Build Insights

From conversational configuration to a tool-equipped, autonomous agent

Autonomous Reasoning

Works Iteratively

Powered by advanced reasoning (function calling), the AI Agent works iteratively. Ask it to "show only bug-related pull requests," and it will first query your actual database to see what label values exist, and then set the correct filter. No more guessing field names or values!

Ask "Show bugs" Check DB labels=[bug] Apply Filter Ready
AI Processing

Analyzes Data Transparently

Equipped with over 40 specialized tools for visualization types, complex filters, drilldowns, custom formulas, and chart styling. It can read and analyze insight results—simply ask "What trends do you see?". Every action is completely transparent via the "Agent Actions" section.

Agent Actions Analyzing chart data... Detected peak: Q4 (+15%) Applying green highlights.
Chart

AI Instructions (formerly Steering)

Accessible via Team Management, teach the AI Agent your team's specific habits, workflows, and label conventions. Because the new Agent is data-aware, it uses these instructions far more effectively to make intelligent decisions on your behalf.

Dashboard Insights

See It In Action

Watch how the AI Agent transforms complex analytics into simple conversations

Speed

Instant Analysis

Get answers in seconds, not hours

Data-Aware

Data-Aware

Queries your actual database for perfect context

Transparent Actions

Transparent Actions

Check the "Agent Actions" to see its reasoning

Let's Explore the Potential:
Four Daily Life Use Cases

Real-world scenarios where the AI Agent transforms engineering management.

01 — Custom Workflows

Instantly Report on
What Makes Your Team Unique

The Challenge

Your standard dashboards can't report on your team's specific workflow, which relies on custom fields in Jira. Building complex JQL queries is a time-consuming nightmare.

Keypup's AI Solution

You ask the AI: "what's the average cycle time for 'Priority-1' tickets in the platform team?" The AI understands your custom fields and instantly builds a tailored report.

Key Benefit

Effortless, code-free reporting on custom workflows, saving hours of technical overhead.

Custom workflow reporting
Self-explanatory insights
02 — Knowledge Sharing

Make Every Insight
Self-Explanatory

The Challenge

New managers looking at performance dashboards might not know how your team calculates metrics or what a "good" number is. They have to interrupt senior members for clarity.

Keypup's AI Solution

Someone simply asks the AI: "Explain this Open Tasks insight to me." The AI details the exact calculation, the business objective, and how to interpret the results directly.

Key Benefit

Ensure the 'why' behind your data is always available, empowering teams to act on key metrics from day one.

03 — Data-Driven Decisions

From Hunch to Hard Data
In an Instant

The Challenge

You have a gut feeling that smaller PRs move faster, but proving it requires data exports and spreadsheet gymnastics. You need evidence but don't have hours to spare.

Keypup's AI Solution

Instead of guessing, you ask: "Compare the cycle time of PRs under 100 lines of code vs. those over 500." In seconds, the AI generates a comparative chart validating your hypothesis.

Key Benefit

Empowers leaders to test hypotheses and optimize engineering practices with concrete metrics, turning intuition into strategy instantly.

Data-driven decisions
Workload balancing
04 — Resource Management

Prevent Burnout with
Proactive Workload Balancing

The Challenge

Your top developer's progress has slowed, but they report being busy. You suspect "invisible work" across multiple side-projects that normal boards don't aggregate.

Keypup's AI Solution

You ask the AI: "Show me how many active issues each developer has, broken down by project." The AI instantly reveals they are juggling active tasks across four different initiatives.

Key Benefit

Make strategic decisions based on actual overall capacity. Uncover invisible workloads and prevent context-switching and burnout.

5x

Faster Insights

Get answers in seconds instead of spending hours building reports

0

Learning Curve

No need to learn complex query languages or dashboard builders

100%

Data Coverage

Access all your Git, Jira, and custom data through one interface

Ready to Transform Your Analytics?

Join teams already using AI to make data-driven decisions faster than ever.