Turn VP Engineering meetings into shipped action items
AI workspace that converts decisions into tickets, scripts, and automated workflows across your engineering stack
Backed by the best
Engineering meetings create work, not outcomes
Your weekly engineering leadership meetings generate dozens of action items, but half disappear into Slack threads or forgotten notebook pages. You spend Tuesday morning trying to remember what Sarah committed to fix in the CI pipeline, whether the database migration timeline was finalized, or who's handling the security audit follow-ups. By Thursday's standup, critical decisions from Monday's architecture review are still floating in meeting notes instead of running in production.
- Action items scattered across Slack, email, and handwritten notes
- Database migration decisions don't become actual migration scripts
- Security audit findings never convert to GitHub issues
- Team commitments from Monday forgotten by Thursday standup
Meeting decisions become running code and tracked tickets
- Live meeting notes automatically generate GitHub issues, Jira tickets, and deployment scripts
- Database schema discussions convert to migration scripts with rollback plans
- Architecture decisions become documented ADRs with implementation timelines
- Performance commitments trigger automated monitoring dashboards and alert configurations
How it works
- 01
Capture decisions live
AI attends your engineering meetings, tracking technical decisions, timeline commitments, and architectural changes in real-time context.
- 02
Generate executable assets
Decisions become GitHub issues, migration scripts, monitoring dashboards, and integration code with proper documentation and acceptance criteria.
- 03
Automate follow-through
Scheduled workflows track progress, update stakeholders, and surface blockers before your next engineering leadership meeting.
What Brainvolt brings to your workflow
Contextual Engineering Intelligence
AI understands your architecture, deployment patterns, and team structure. References your technical documentation, incident reports, and performance metrics when converting meeting discussions into actionable technical plans.
Code Generation From Decisions
Architecture choices become infrastructure code, database discussions generate migration scripts, and monitoring commitments create dashboard configurations. Conversation to shipped code with proper testing and documentation.
Engineering Stack Integration
Connects to GitHub, Jira, BigQuery, monitoring tools, and deployment pipelines. Creates tickets with proper labels, assigns based on expertise, and triggers automated workflows across your engineering toolchain.
Team Knowledge Accumulation
Every architectural decision, performance optimization, and incident resolution becomes searchable team knowledge. Past solutions inform future technical choices, creating compound engineering intelligence across sprints.
Frequently asked questions
Connect your world.
Get things done.
Try the AI workspace that keeps context and helps you turn conversation into action.