Brazilian CRM provider Ploomes has launched Ploomes AI Studio, an artificial intelligence architecture designed to transform how companies configure and manage sales operations. Backed by a R$25 million investment in AI development, the platform can create customized interfaces, automate workflows, and connect external systems directly within the CRM environment. The company aims to simplify software implementation and improve operational efficiency, projecting a reduction of up to 80% in the time required to deploy its CRM solutions.
Investment and Growth Strategy
Ploomes began developing the technology earlier in 2026 and plans to invest R$25 million in AI initiatives across 2026 and 2027. The spending will support engineering teams, platform improvements, and additional AI capabilities. Future product releases will be planned quarterly to accommodate rapid technological developments.
Founded in 2015, Ploomes focuses on CRM solutions for midsized businesses and views the launch as an opportunity to strengthen its competitive position. Led by CEO and founder Matheus Pagani, the company expects AI Studio to support customer acquisition and increase average contract values. The new functionality will be marketed as a separate plan for existing customers.
Core AI Studio Capabilities
AI Studio combines four functional areas intended to simplify CRM configuration and daily operations. Its screen builder generates dashboards, forms, and small applications from natural-language descriptions, connecting them directly to company data. This approach reduces the need for conventional programming when creating customized sales interfaces.
The integration component connects AI agents with external applications, enabling automated workflows across different business systems. These integrations can incorporate services such as Slack and Gmail alongside other enterprise software. Meanwhile, the CPQ module interprets pricing rules from company documents to generate structured commercial proposals connected to enterprise resource planning systems.
The fourth component, Radar Ploomes, focuses on automatically documenting interactions between sales teams and customers. Expanding on existing meeting-transcription capabilities, the feature consolidates information from calls, WhatsApp, email, and calendars within customer records. An additional administrator-facing chat supports system configuration, analysis, and bulk operational updates.
Faster CRM Implementation
Ploomes estimates that AI Studio could reduce CRM implementation times for new customers by as much as 80%. According to company projections, implementation periods averaging 4.6 months could decline to approximately 28 days. These figures represent anticipated efficiency improvements rather than independently verified deployment results.
The expected improvements primarily involve configuring interfaces, connecting systems, and automating workflows previously handled through traditional implementation projects. By reducing these technical requirements, Ploomes intends to help employees focus more on customer relationships and commercial decisions. The company positions AI as a productivity tool rather than a replacement for sales professionals.
Data Security and Enterprise Adoption
Data protection forms another central element of the new architecture as companies increasingly incorporate generative AI into business processes. Ploomes states that customer information is not used to train open AI models. The company also maintains that operational context remains restricted to each customer's environment within the software.
The announcement follows growing concerns about converting corporate AI experimentation into practical business applications. Citing Deloitte research involving 115 Brazilian executives, Ploomes reported that 58% of companies had implemented no more than 20% of their AI pilot projects. The company sees deeper AI integration into established workflows as a potential response to these adoption challenges.
Ploomes is positioning AI-driven customization and automation as central features of its next generation of CRM software. Its R$25 million investment reflects a broader strategy to improve implementation efficiency, strengthen product differentiation, and support commercial growth. The initiative's long-term impact will depend on whether customers achieve the projected productivity gains in real-world deployments.