AI Software for Project Management

1. System Architecture

• Cloud-native and scalable : multi-tenant architecture based on microservices, accessible via web app and mobile.

• Hybrid Database (SQL + NoSQL) :

  • SQL for structured management of projects, resources, and milestones.

  • NoSQL for document storage, activity logs, and unstructured data (chat, notes, files).

• Centralized AI engine : integrates NLP (Natural Language Processing), ML (Machine Learning), and statistical prediction models.

• REST/GraphQL APIs : ensure interoperability with ERP, CRM, DevOps tools, ticketing software (Jira, Trello, Asana), and collaboration suites (Google Workspace, Microsoft 365).

• Event-driven system : automations based on triggers (e.g., task delays, budget overruns, resource changes).

2. Project Management Features

• Task and dynamic Gantt chart management : automated creation of dependencies between activities with real-time updates.

• Resource allocation : intelligent distribution of workload based on skills, availability, and costs.

• Milestone and deliverable management : advanced monitoring with requirement traceability and document versioning.

• Workload management : workload analysis and AI-driven suggestions for team rebalancing.

• Multi-project management : consolidated view of multiple initiatives, with aggregated dashboards of costs, timelines, and performance.

3. Advanced AI Features

• Predictive planning : simulations of multiple scenarios to estimate realistic timelines and budgets.

• Risk detection : automatic analysis of potential delays, bottlenecks, and deviations from KPIs.

• Resource forecasting : predictions on personnel needs, critical skills, and future availability.

• Semantic document analysis : NLP for automatically extracting requirements from specifications and customer requests.

• Anomaly detection : automatic detection of anomalies in the time, cost, or quality of deliverables.

• Conversational AI assistant : Integrated chatbot that answers questions about project progress, deadlines, and budget.

4. Integrations and Automations

• DevOps/Agile Integration : Synchronization with GitHub, GitLab, Jira, Azure DevOps for tracking commits, issues, and sprints.

• Workflow automation : automatic generation of tasks from emails, chats, or imported documents.

• Smart notifications : predictive alerts on Slack, Teams, and email in case of cost/time overrun risks.

• BI Integration : Connection with Power BI and Tableau for advanced multi-project analysis.

5. Security and Compliance

• End-to-end encryption (AES-256 + TLS 1.3).

• Identity Management : Single Sign-On (SSO), OAuth 2.0, SCIM for centralized user management.

• Access Control : granular roles for Project Managers, stakeholders, teams, and clients.

• Advanced audit log : tracking of every change to tasks, budgets, and milestones.

• GDPR and ISO 27001 compliance .

6. Dashboard & Reporting

• Interactive dashboards with KPIs on costs, timelines, progress, risks, and resource performance.

• Predictive reports : estimates on project completion (EAC – Estimate at Completion, ETC – Estimate to Complete).

• Resource heatmap : graphical visualization of workloads with AI-driven balancing suggestions.

• Automated reports : exports in PDF, Excel, CSV, and scheduled delivery via email or API.

7. Technical Benefits

• Reduce planning time with automatic WBS and Gantt chart generation.

• Proactive risk mitigation through predictive AI.

• Resource optimization and reduction of operating costs.

• Increased data reliability through integration with third-party systems and anomaly detection.

The software is sold on a USB stick or installed on a physical server which is delivered directly to the customer.