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Web AppsProject overrun rate cut from 38% to 11%

SaaS Project Management Platform

AI-Powered Risk Scoring, Client Portals & Multi-Tenant Architecture

Next.jsNode.jsPostgreSQLDocker

Project Overview

A consultancy firm was managing 30+ concurrent client projects across spreadsheets, Notion, and email chains. They needed a purpose-built platform matching their exact workflow: fixed-price milestones, client-facing progress views, and an AI layer to flag at-risk deliverables before they slipped.

The Challenges

  • 1

    Flexible permission model required: internal team view vs. filtered client portal

  • 2

    Real-time project updates without excessive server polling overhead

  • 3

    AI anomaly detection needed to run on sparse, inconsistent project velocity data

  • 4

    Multi-tenant data isolation required at the database layer, not just the application layer

Our Approach

We built a multi-tenant Next.js and Node.js SaaS with role-based access control and PostgreSQL row-level security for tenant isolation. An XGBoost anomaly model trained on project velocity patterns generates daily health scores. Real-time notifications run on WebSockets.

Key Features & Metrics

Multi-tenant architecture with PostgreSQL row-level security

AI-powered project health score updated daily with risk classification

Client-facing portal with milestone visibility filtered by permission level

Real-time notifications via WebSockets for task updates and blockers

Gantt and Kanban dual-view for timeline management and task-level tracking

Full MVP delivered from kickoff to production deployment in 8 weeks

Results & Business Outcome

The consultancy retired 4 separate tools and consolidated onto one platform. Project overrun rate dropped from 38% to 11%. Client NPS increased 28 points due to improved transparency.

Project management software only works when it fits your workflow — not the other way around. Custom means built right the first time.
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