Proggio Inc., a company working towards redefining project portfolio management, has launched Contextual AI, a major step forward in its AI roadmap and the next evolution in agentic project execution. Built on Proggio’s patented ProjectMap™, the new capability transforms static tasks into intelligent, context-aware execution hubs that bridge the long-standing gap between planning and doing.
“Our Contextual AI isn’t another isolated chatbot; it’s the embedded brain that activates inside your projects, pulling in the full project narrative to deliver answers that hit the mark every time,” said Yaniv Shor, CEO of Proggio. “We’re moving beyond generic AI to agentic forces that draft deliverables, align teams, and enforce accountability, all while keeping knowledge anchored in the project, not scattered across siloed conversations.”
AI Vision: Shifting from Generation to Agentic Execution
Proggio’s AI strategy builds on the foundations laid by Timeline GPT, evolving through three connected layers:
- Gen AI: Generating structured project timelines from natural language prompts.
- Agentic AI: Introduced with Contextual AI, embedding intelligence within tasks to anticipate needs, take action and collaborate with full project awareness.
- Integrated AI: Linking agentic insight with organisational data for autonomous monitoring and adaptation.
This tiered approach dismantles the traditional divide between planning tools and operational delivery, turning ProjectMap™ into a dynamic, living system where AI operates with deep contextual understanding rather than surface-level guesswork.
Contextual AI: A New Standard for Project Intelligence
Contextual AI enriches every prompt with the initiative’s full history, timelines, data and stakeholder inputs. The result is grounded, execution-ready output such as detailed deliverables, aligned communications and real-time stakeholder updates.
Threads persist in the project’s data centre, ensuring continuity. Team members can step into a conversation midstream, inherit full context and contribute immediately. New joiners onboard faster, and organisational knowledge is retained rather than dispersed in private chats or lost during team turnover.
ProjectMap™: Proggio’s Competitive Edge
At the heart of the innovation is ProjectMap™, a collaborative visual canvas that captures project context in ways traditional task lists cannot.
“True agentic dominance requires a foundational medium that captures context holistically,” said Barak Schiby, Chief Technology Officer at Proggio. “Our ProjectMap™ evolves timelines into contextual engines, rendering obsolete tools that treat AI as an add-on rather than an integral force for execution.”
ProjectMap™ allows AI-generated insights to appear as dynamic, interactive timelines that teams can manipulate, share and adapt. By comparison, text-based outputs from generic tools often remain static, disconnected and hard to integrate into actual workflows.
User Advantages: Precision, Context and Seamless Integration
Contextual AI automatically pulls in details that users often cannot or would not manually include in their prompts, such as complex resource data. This ensures responses are accurate, actionable and tailored to reality.
Timeline GPT and Proggio’s agentic AI present results through ProjectMap™, giving teams dynamic, operable timelines ready for collaboration, reporting and strategic decision-making.
Why Now: Addressing Enterprise Challenges in the Agentic AI Era
Legacy project tools struggle with fragmented chats, context loss and generic responses. As AI adoption accelerates, these limitations become more visible. Proggio’s Contextual AI counters them by embedding intelligence within the fabric of project execution, combining persistence, security and deep integration.
For enterprise users, secure deployment remains paramount. Contextual AI can connect to internal LLMs via Azure, Google or other providers within minutes, or integrate with custom data sources as required. Proggio’s existing customer base, including organisations with stringent security standards, has already validated the robustness of this approach.
With Contextual AI, Proggio aims to redefine how modern organisations execute complex initiatives, shifting teams from reactive task management to proactive, AI-powered delivery grounded in context, continuity and collaboration.
