SaaS Application - DataWise
The SaaS Application - DataWise project is a practical example of the Dev-AI experience, demonstrating how innovation in the development process and a robust strategy can generate a high-value product.
1. Project Overview
DataWise is a scalable, multi-tenant corporate SaaS platform designed to unify data, documents, and compliance processes in a single environment governed by artificial intelligence. This project was born from the critical need to empower medium and large organizations to manage their information more efficiently, securely, and autonomously, overcoming fragmentation and technical dependency.
2. The Real Problem
Medium and large organizations often face operational and strategic bottlenecks: fragmented data across multiple systems, difficulty in accessing reliable information quickly, low governance over the data lifecycle, and excessive dependence on technical teams for basic queries and reports. This reality results in slow decision-making, increased operational costs, compliance risks, and an unsatisfactory user experience for business areas. Information fluidity and security were broken, compromising agility, compliance, and competitiveness.
3. Insight and Strategy
The diagnosis showed that the root of the problem was not a lack of data, but the absence of an intelligent layer to unify, govern, and make it accessible. My strategy was to develop a platform acting as an "intelligence hub," using AI not only to interact with data but also to accelerate the system's own development. The key decision was to adopt a robust multi-tenant architecture, prioritizing security and governance from the design phase (security by design and privacy by design). The biggest challenge was balancing performance, scalability, and operational simplicity, ensuring AI was a means to solve real problems, not an end in itself. This involved investing in software engineering for instructional prompts to guide Dev AI Agents, ensuring code and architectural integrity.
4. The Developed Solution
DataWise acts as an intelligent interface between legacy systems, databases, and end-users. It allows business users to perform complex natural language queries, automate tasks, generate APIs, and build auditable knowledge bases within a secure environment. The platform consists of specialized modules:
- Core-QueryWise: Intelligent knowledge base for documents, policies, and URLs with contextual natural language responses.
- DB-QueryWise: Database queries in natural language, generating automatic SQL and real-time insights.
- API-QueryWise: Automatic generation of secure and documented REST APIs.
- Code-QueryWise: Software engineering assistance, generating code, tests, and documentation.
- LGPD-QueryWise: Compliance automation and data privacy auditing.
- Legal-QueryWise: Legal analysis and contracts with specialized AI.
- DPO-QueryWise: Complete management for DPOs, including requests and executive reports.
5. Technologies Used
- Frontend: React, Material-UI.
- Backend: Node.js, Express, Python, PostgreSQL.
- AI / Automation: LLMs via APIs, Embeddings, Instructional Prompt Engineering.
- Infrastructure: Google Cloud Platform (GCP), Docker, Kubernetes, API Gateway.
- Other resources: IBM WatsonX Governance and Guardian, Pentests (SAST/DAST).
6. Delivered Results
DataWise delivered a drastic reduction in development time, from 6-9 months with a team of five to just four months with a single professional using AI. Key benefits include:
- Efficiency Gains: Business areas reduced IT dependency by up to 60%.
- Cost and Time Reduction: Optimized operational and compliance processes.
- Scalability: Multi-tenant architecture for fast client onboarding.
- Risk Mitigation: Robust data governance and LGPD compliance via IBM WatsonX.