AI Software for Multi-Disciplinary Project Management

1. System Architecture

• Core Project Management Engine : a central engine based on microservices, capable of managing parallel projects with independent pipelines.

• AI Orchestration Layer : An AI module that leverages NLP and Machine Learning to automate planning, risk analysis, and optimization suggestions.

• Hybrid database :

  • Relational (SQL) for tasks, milestones, and deadlines.

  • Document-oriented (NoSQL) for project files, graphic assets, and code versions.

• REST/GraphQL API for integration with external tools (GitHub, Figma, Jira, GitLab, Slack, Trello).

• Event-driven architecture : each update generates AI-driven events (e.g., merge request → risk analysis → team notification).

2. Features by Role

👩🎨 Designer

• Integration with tools such as Figma, Sketch, and Adobe XD.

• AI-assisted versioning: detecting differences between prototypes and suggesting UX/UI improvements.

• Automatic assignment of reviews based on workload and deadlines.

💻 Front-End Developers

• Direct connection to Git repositories (GitHub, GitLab, Bitbucket).

• AI-based code analysis to detect UI/UX bugs or suboptimal patterns.

• Automatic generation of checklists for cross-browser compatibility and responsive design.

⚙️ Back-End Developers

• CI/CD pipeline monitoring with predictive analysis of failed build risks.

• Automatic identification of bottlenecks in APIs or DB queries.

• AI-driven code review for performance and security optimization.

🤖 Machine Learning Engineers

• Experiment management (MLflow-style) integrated into the project manager.

• Automating dataset and model versioning.

• AI prediction of performance metrics (e.g., accuracy, F1-score) on future tests.

• Dynamic allocation of GPU/TPU resources based on project priorities.

📱 Mobile Developers

• Integration with Android Studio, Xcode, and mobile CI tools.

• AI-assisted testing on cross-platform emulators (Android, iOS).

• Automatic prediction of the most likely crashes through static code analysis.

• AI report on OS compatibility and device fragmentation.

3. AI Automations

• Smart Task Allocation : automatic distribution of tasks based on skills, availability, and deadlines.

• Risk Prediction Engine : historical analysis of projects to estimate the probability of delays or critical bugs.

• Natural Language Interface : project management via voice or text commands (e.g., "Show me the status of the back-end API project").

• AI-driven Dependency Graph : automatic mapping of dependencies between modules (frontend ↔ backend ↔ mobile ↔ ML).

• Anomaly Detection : Reporting anomalies (suspicious commits, inconsistent designs, ML metrics outside of standard ranges).

4. Security and Compliance

• End-to-end encryption on project and document repositories.

• Role-based access control (RBAC) and granular policies for multidisciplinary teams.

• AI-enhanced Audit Log : behavioral analysis of users to prevent anomalous access.

• Integrated compliance with GDPR, ISO 27001, and DevSecOps standards.

5. Dashboards and Reporting

• Unified Dashboard : Overview of all projects with filters by role (designer, dev, ML, mobile).

• AI-driven Progress Tracking : predictive charts of deadlines with probabilistic estimates.

• Resource Allocation Monitor : actual usage of resources (human and computational).

• Quality Metrics : code coverage, test pass rate, mobile performance, UX scoring.

• Export BI-ready : connectors to Power BI, Tableau, and data analytics tools.

6. Technical Benefits

• Centralized management of multi-disciplinary teams without fragmentation of tools.

• Reducing the risk of delays through AI-based prediction of critical issues.

• Improve code quality and design with AI code review and UX validation.

• Scalability for distributed teams and complex projects (from startups to large enterprises).

• Automation of DevOps/MLops workflows integrated directly into project management.

The software is sold on a USB drive or installed on a server, which is then sent directly to the client, fully functional and ready to use.