In Marzo AI, “Context” means all the important information, decisions, risks, blockers, and action items your team needs—captured from real conversations, meetings, and project tools, and surfaced exactly when it matters most.
Every user sees the context that’s most relevant to them—so leaders, managers, and individual contributors each get updates tailored to their specific role, projects, and responsibilities.
Why Context Matters
Modern engineering teams work across countless threads, meetings, and platforms. Critical decisions and risks can get lost in Slack, buried in meeting notes, or scattered across Jira, GitHub, docs, and emails.
How Marzo AI Defines and Uses Context
Connects Dispersed Information:
Marzo AI pulls together relevant signals from Slack, meetings, project management tools, code reviews, and your org chart, connecting information that would otherwise remain siloed or forgotten.
Timeline Awareness:
By tracking the flow of conversations and events across time, Marzo AI reconstructs how decisions were made, who owns what, and what risks or blockers might be emerging—even if those signals are spread out over weeks and different platforms.
Surfaces Actionable Insights (Not Just Summaries):
Rather than simply summarizing conversations, Marzo AI proactively highlights the specific decisions, risks, blockers, ownership changes, and next steps that require your attention. Each insight is meant to help you take action, unblock work, or stay aligned with your team’s goals.
The Big Picture
“Context” in Marzo AI is about connecting the dots so nothing slips through the cracks and everyone stays aligned. Whether you missed a meeting, need to know why a decision was made, or want to catch up on risks affecting your project, Marzo AI ensures you always have the actionable context you need—pulled from across all your tools and conversations, delivered when you need it most.