AI DELIVERY DASHBOARD

See what’s actually happening in your delivery.

Connect Jira or Azure DevOps and surface delivery risks, patterns and signals that are easy to miss in boards and status reporting.

Copilot helps answer what should we do. Dashboard helps show what is actually happening.

Working prototype · Guided walkthrough

Input
Jira / Azure DevOps

Work items · history · metrics

→
Output
Delivery signals

Aging · concentration · dependencies · plan risk

OverviewMetricsInsightsAI Analysis

From project data to delivery signals.

01

Connect

Start with a Jira or Azure DevOps project.

02

Overview & Metrics

Bring work items, history and delivery metrics into one delivery view.

03

Insights

Surface patterns such as aging work, concentration and delivery risk.

04

AI Analysis

Investigate signals with supporting evidence, context and uncertainty.

The goal is not more reporting — it is a clearer starting point for delivery investigation.

WHAT THE BOARD DOESN’T TELL YOU

The project looks green. Is it?

Jira status

Overall delivery status

🟢 ON TRACK

SPRINT COMPLETIONStable
VELOCITYStable
OPEN BLOCKERSLow
TARGET DATEUnchanged
Dashboard analysis
01 · AGING WORKSeveral active items have remained open across multiple iterations.
02 · WORK CONCENTRATIONA small number of items account for a disproportionate share of remaining work.
03 · DEPENDENCY PRESSUREWaiting and blocked work is accumulating around key delivery dependencies.
04 · PLAN RISKThe current delivery pattern leaves little room for scope growth or further delay.

The board isn’t wrong. It just doesn’t show the whole delivery picture.

Illustrative example — not a client case study.

AN INTELLIGENCE LAYER, NOT ANOTHER BOARD

Keep Jira. See more in the same data.

Jira and Azure DevOps remain the systems of record. The Dashboard uses the same delivery data to look across work items, history and metrics for patterns that are difficult to see from individual boards and reports.

Same data
Deeper signals
Evidence behind the insight
No replacement for Jira / ADO

BUILT FROM DELIVERY EXPERIENCE

Two sides of the same delivery problem.

Delivery decisions depend on two things: understanding what is happening now and deciding what to do next.

AI Delivery Dashboard

What is actually happening?

Jira / Azure DevOps → delivery signals, patterns and risks.

AI Delivery Copilot

What should we do?

Customer problem → structured Delivery Plan and delivery decisions.

Both tools are built around real delivery work — not around adding more reporting.

WORKING PROTOTYPE

See the Dashboard on real delivery data.

In a guided walkthrough, we connect a Jira or Azure DevOps project and explore what the Dashboard surfaces across Overview, Metrics, Insights and AI Analysis.

Bring
Jira or Azure DevOps project
Walk through
Overview · Metrics · Insights · AI Analysis

The Dashboard is a working prototype, not a self-service product yet.

Request a Dashboard Walkthrough

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Eugeniu Lipcean | AI Delivery Manager & Consultant

Making software delivery smarter, more predictable, and easier to manage with AI and automation