In the AI adoption race, most tools focus on individual chat windows that silo information and alienate team members from the collective process. Kollaborative AI needed to stand out by being genuinely communal, translating powerful model outputs into shared, knowledge-grounded workspaces that resonate with managers, creators, and decision-makers who need to move faster together without losing context.

We worked closely with the team to map a communal AI experience, identifying ways to eliminate silos and grounding conversations in organizational context. The result is a modern SaaS platform that streamlines content creation, decision-making, and knowledge management, all powered by built-in AI that supports OpenAI and Gemini. What once lived in private threads now happens in shared workspaces, enabling teams to scale AI adoption with total alignment.

We began with a deep discovery phase, analyzing how teams interact with AI to define clear technical and business goals. From there, we designed the user experience, created a detailed architecture plan for multi-model integration, and implemented a modular build process. Each sprint delivered functional demos for feedback and refinement, ensuring complete transparency and alignment. The result: a robust, future-ready SaaS platform that allows teams to collaborate and grow together.