AI project management that learns from every product decision
Intelligence workspace for VP Product teams. Knowledge compounds across projects, conversations become shipped features.
Backed by the best
Product decisions scattered across tools and teams
Your product decisions are fragmented across Jira tickets, Slack threads, GitHub issues, and analytics dashboards. Engineers ask the same architecture questions you answered last quarter. Design decisions get re-debated because context lives in someone's head. Quarterly planning pulls data from five different tools, requiring manual correlation every time. Sprint retrospectives identify the same blockers repeatedly because solutions don't transfer between teams.
- Re-explaining the same product decisions to different teams repeatedly
- Manual correlation of user analytics, GitHub commits, and Jira progress
- Design system decisions getting re-debated because context is lost
- Quarterly planning requires pulling data from multiple disconnected tools
Transform scattered product knowledge into compounding intelligence
- Product decisions accumulate into reusable knowledge that scales across teams and quarters
- AI connects Jira, GitHub, analytics, and design tools in contextual responses with citations
- Engineering questions get answered with your previous architectural decisions and reasoning
- Sprint planning conversations automatically generate tickets, reports, and stakeholder updates
How it works
- 01
Connect product stack
Link Jira, GitHub, Google Analytics, Slack, and design tools through guided authentication setup.
- 02
AI learns decisions
Every product conversation builds contextual knowledge that references your connected tools and data.
- 03
Conversations ship features
Transform planning discussions into tickets, reports, dashboards, and automated workflows.
What Brainvolt brings to your workflow
Contextual Product Intelligence
AI draws from Jira tickets, GitHub commits, analytics data, and design files in unified responses. Ask about feature performance and get user metrics, code changes, and design iterations with source citations.
Cross-Team Knowledge Sharing
Product decisions become reusable knowledge across engineering, design, and marketing teams. Architectural choices, user research insights, and technical constraints transfer automatically to new projects.
Conversation To Execution
Planning discussions generate Jira tickets, update GitHub issues, create analytics dashboards, and build stakeholder reports. Product conversations become shipped workflows and automated processes.
Connected Product Stack
Pre-built integrations with Jira, GitHub, Google Analytics, BigQuery, and design tools. Create custom integrations with any product tool through conversational setup and API connections.
Frequently asked questions
Connect your world.
Get things done.
Try the AI workspace that keeps context and helps you turn conversation into action.