Turn VP Product resource planning into intelligent execution
AI that accumulates team knowledge and automates capacity decisions from conversation
Backed by the best
Resource planning shouldn't drain your bandwidth
You're juggling sprint capacity across six engineering teams while stakeholders demand feature delivery dates you can't confidently provide. Engineering managers give conflicting availability estimates, designers are overbooked through Q2, and you're building resource models in Excel that go stale the moment someone takes vacation. Meanwhile, leadership wants quarterly resource forecasts that require pulling data from Jira, GitHub, and three different spreadsheets.
- Manually tracking developer velocity across multiple teams and sprint cycles
- Building capacity models in Excel that break when priorities shift
- Stakeholders asking for delivery dates you can't estimate confidently
- Engineering managers providing conflicting availability and timeline estimates
Resource planning that learns from every decision and executes automatically
- AI builds team velocity models from Jira and GitHub data, updating capacity forecasts automatically
- Generate stakeholder-ready delivery timelines that account for actual developer availability and historical sprint performance
- Create resource allocation dashboards that connect hiring plans to feature roadmap commitments
- Automate quarterly resource reports combining engineering metrics, design capacity, and budget constraints into executive summaries
How it works
- 01
Connect your tools
Link Jira, GitHub, Google Calendar, and team spreadsheets through guided authentication setup
- 02
Ask resource questions
Request capacity analysis, delivery estimates, or allocation reports in natural conversation
- 03
Execute the plan
AI builds dashboards, sends stakeholder updates, and schedules recurring resource reviews
What Brainvolt brings to your workflow
Intelligence That Compounds
AI learns from every resource decision, building institutional knowledge about team velocity, estimation accuracy, and capacity patterns. Past resource allocation successes become reusable planning tools for future quarters.
Contextual Resource Intelligence
Draws from Jira sprint data, GitHub commits, Google Calendar availability, and team documentation to provide resource recommendations with full source citations for stakeholder confidence.
Execution Beyond Planning
Builds resource dashboards, generates stakeholder timeline reports, creates hiring justification documents, and sets up automated capacity tracking workflows from conversation to shipped deliverable.
Team Resource Collaboration
Shared AI channels where engineering managers, design leads, and product stakeholders contribute to resource discussions. Multiple people can refine capacity models in the same AI thread.
Frequently asked questions
Connect your world.
Get things done.
Try the AI workspace that keeps context and helps you turn conversation into action.