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.A SCALABLE OPERATIONS PLATFORM.

Uga Station

Designing and building an industry-specific operations CRM for complex service workflows

Ownership

UGA Station is a fully built, demoable AEC (Architectural Engineering & Construction) internal operations platform created to explore how complex service organisations achieve real-time operational clarity across sales, delivery, finance, and leadership.

Retrospect:
Building a live system exposed edge cases and data dependencies that static design artefacts would have hidden.

Role

Product Designer & Builder

(Product strategy, UX systems, AI integration, frontend)

Stack

Enterprise SaaS

RBAC

Real-time data

Google Studio

Firebase

Flutterflow

Design

Built

Primary Users

Founders

Sales leads

Operations managers

Architects/Designers

Deliverable Teams

Product Scope

Dashboard

Sales

Projects

Tasks

Payments

Organisation

Healthy Ai

The Critical Problem

Sales data lived separately from delivery
Project status wasn’t tied to revenue
Access control was inconsistent
Founders lacked a real-time view
Each tool is functional on its own. However, they are not connected.
Architecture and design studios lose revenue and time due to fragmented tools that separate sales, projects, tasks, and payments.

Solution

Designing a single operational system instead of disconnected tools
UGA Station was designed as a unified operations platform that connects sales intent, delivery execution, financial accountability, and organisational structure into one coherent system. Rather than optimising individual tools, the solution focuses on how information flows across teams ensuring that decisions made in one area are visible and accountable in another.

Faster lead follow-up → higher conversion potential

Reduced operational blind spots across projects

Improved payment visibility and cash-flow predictability

Reduced planning overhead via AI-assisted workflows

Healthy Ai

Healthy AI is a dedicated intelligence layer within UGA Station designed to surface early operational risks and patterns across sales, delivery, and finance — while keeping humans fully in control of decisions.

P.s- Decision support, not decision-making

Purpose

Early Risk Signals

Detect issues before they escalate

Inputs

Live System Events

Tasks, milestones, payments, role actions

Output

Explainable Insights

Why this matters, not just what changed

Control

Human in the Loop

AI suggests, people decide

Guardrails

No Auto-Execution

Nothing happens without approval

Success Metric

Actioned Signals

Insights that lead to decisions

Health Score Breakdown

Healthy AI observes system activity, detects patterns, and guides human attention to risk.

Health Dimension

What It Tracks

Direction

Driven By

Timeline Health

Delivery reliability

Overdue tasks & milestones

Financial Health

Revenue realisation strength

Paid vs billed, overdue invoices

Quality Health

Execution consistency

QC checks & issue frequency

Access Exception Rate

Permission-related friction

Failed RBAC checks

Ops Velocity

Operational discipline

Site logs & activity cadence

Total Project Health Score

Overall project risk

Timeline, Finance, Quality, Activity

Metrics define measurement readiness, not post-launch outcomes.

Design Principle

  1. Product Lifecycle
  1. Visibility Before Ownership
  1. Role Based CLarity AT Every Step
  1. product lifecycle

The product is structured around cause-and-effect, not isolated modules

sales

Delivery

Tasks

Payments

Roles

Health

  1. visibility before optimisation

The product is structured around cause-and-effect, not isolated modules

What was sold

What is being delivered


What is blocked

What is at risk financially

  1. role-based clarity at every step

The product is structured around cause-and-effect, not isolated modules
Fewer accidental actions
Clear ownership
Traceability across decisions

Metric

Metrics as decision signals, not reports

High-level KPIs focus on time to action, delivery predictability, pipeline efficiency, revenue risk, execution blockers, and overall system health to guide leadership decisions at a glance.

Retrospect:
Building a live system exposed edge cases and data dependencies that static design artefacts would have hidden.

High Level KPI Metrics

Dashboard Quality

Fresh Signals

Recent data → better decision confidence

Healthy Ai

AI Risk Signals

Earlier detection → human intervention before failure AKA AI surfaces patterns, humans decide actions

Sales / Conversion

Lead Follow-up Time

Faster follow-up → higher conversion probability

Delivery Health

Blocked Tasks

Early visibility → fewer delivery delays

Payment Risk

Milestone Slippage

Delayed milestones → payment risk signals

Org / RBAC

Permission Violations

Clear roles → fewer operational errors

Measurable Metrics (By Design)

This system is instrumented to be measured from day one.
Metrics use human-readable logic so teams understand why a signal changes — not just that it changed.

Metric

What it Represents

Direction

Measured From

Why it Matters

Signal Freshness

How current the system’s data is

Last update timestamps

Ensures decisions are made on reliable, up-to-date information

Lead Follow-up Time

Speed of response to new leads

Lead creation → first action

Faster follow-up improves conversion efficiency

Blocked Task Ratio

Execution stalled due to dependencies

Blocked tasks / active tasks

Early visibility prevents delivery delays

Access Exception Rate

Permission-related friction

Failed RBAC checks

Reduces operational errors and confusion

Total Project Health Score

Overall project risk

Timeline, Finance, Quality, Activity

Guides leadership attention to high-risk areas

Metrics as decision signals, not reports
Success is communicated through outcome-driven metric cards, each designed to answer a single question:

“What should I act on right now?”

Design Approach

Log In

User enters the product securely.

System verifies identity and authentication method.

User role and permissions are resolved.

User is routed to the correct starting page.

Q1. Why does the user start here?

To securely identify the user before any data or actions are exposed.

Q2. What decision does the system make here?

It determines who the user is and what they are allowed to access.

Q3. What is the outcome of this page?

The user is routed to the correct starting point with the right permissions.

Q1. Why does the user start here?

To securely identify the user before any data or actions are exposed.

Q2. What decision does the system make here?

It determines who the user is and what they are allowed to access.

Q3. What is the outcome of this page?

The user is routed to the correct starting point with the right permissions.

Dashboard

Live activity across projects, quality, sales, and payments

Metrics summarised as signals (not reports)

Each signal exposes ownership + current state

Click takes you to the exact place where action is required

Q1. What question does the dashboard answer?

What needs attention right now.

Q2. Why are signals shown instead of raw data?

To help users understand status instantly without analysis.

Q3. What should the user do next from here?

Jump directly to the area that needs action.

Q1. What question does the dashboard answer?

What needs attention right now.

Q2. Why are signals shown instead of raw data?

To help users understand status instantly without analysis.

Q3. What should the user do next from here?

Jump directly to the area that needs action.

Sales

View all deals

Track stage movement

Identify risks and priorities

Progress or close deals

Q1. What problem does the Sales page solve?

It shows how opportunities turn into real revenue.

Q2. Why track deal stages here?

To understand progress, risk, and conversion likelihood.

Q3. What action does this page drive?

Moving deals forward or closing them.

Q1. What problem does the Sales page solve?

It shows how opportunities turn into real revenue.

Q2. Why track deal stages here?

To understand progress, risk, and conversion likelihood.

Q3. What action does this page drive?

Moving deals forward or closing them.

Projects

View all projects

Track progress and milestones

Detect risks early

Resolve issues

Q1. Why is this page critical post-sales?

Because delivery determines customer satisfaction and revenue realization.

Q2. What insight does this page provide?

How work is progressing and where it might fail.

Q3. What decision does it enable?

Where to intervene to keep delivery on track.

Q1. Why is this page critical post-sales?

Because delivery determines customer satisfaction and revenue realization.

Q2. What insight does this page provide?

How work is progressing and where it might fail.

Q3. What decision does it enable?

Where to intervene to keep delivery on track.

Tasks

View all tasks

See ownership and status

Spot delays

Update or complete work

Q1. Why is Payments part of the core flow?

Because completed work must translate into cash flow.

Q2. What risk does this page reduce?

Delayed or missed payments.

Q3. What outcome does it drive?

Faster and clearer revenue realization.

Q1. Why is Payments part of the core flow?

Because completed work must translate into cash flow.

Q2. What risk does this page reduce?

Delayed or missed payments.

Q3. What outcome does it drive?

Faster and clearer revenue realization.

Healthy AI

System observes activity

Detects patterns

Explains insights

Guides action

Q1. Why introduce AI here?

To surface risks and insights humans might miss.

Q2. What does the AI analyze?

Patterns across sales, projects, tasks, and payments.

Q3. How does this help the user?

By guiding attention to what matters most.

Q1. Why introduce AI here?

To surface risks and insights humans might miss.

Q2. What does the AI analyze?

Patterns across sales, projects, tasks, and payments.

Q3. How does this help the user?

By guiding attention to what matters most.

Payments

View invoices and milestones

Check payment status

Identify revenue risk

Follow up to unlock payments

Q1. Why is Payments part of the core flow?

Because completed work must translate into cash flow.

Q2. What risk does this page reduce?

Delayed or missed payments.

Q3. What outcome does it drive?

Faster and clearer revenue realization.

Q1. Why is Payments part of the core flow?

Because completed work must translate into cash flow.

Q2. What risk does this page reduce?

Delayed or missed payments.

Q3. What outcome does it drive?

Faster and clearer revenue realization.

Organisation

View org structure

Review permissions

Manage roles

Scale safely

Q1. Why does structure matter in this product?

Because access and responsibility must scale with growth.

Q2. What does this page control?

Roles, permissions, and team structure.

Q3. What failure does it prevent?

Unauthorized access and operational chaos.

Q1. Why does structure matter in this product?

Because access and responsibility must scale with growth.

Q2. What does this page control?

Roles, permissions, and team structure.

Q3. What failure does it prevent?

Unauthorized access and operational chaos.

UGA STATION
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Login Id - ugatest@gmail.com

Password - 000000

What you’ve seen is not a concept — it’s a working system designed to be measured, questioned, and improved.

Let's Work Together

pharisshajeer@gmail.com

+91 96 11 307 197

India · Open to remote > hybrid > on-site

Overview

Critical Problem

Solution

Ai

Principle

Metric

Ui

Demo

Tablet Responsive Work In Progress 😎

Desktop recommended for the best experience.


This portfolio is optimized for large screens to clearly present complex systems and flows.

Desktop recommended for the best experience.


This portfolio is optimized for large screens to clearly present complex systems and flows.