Discovery and requirements packs
Clarify the ask, capture scope, and move from stakeholder language to something teams can price, build, or validate.
pAIgeBOTS gives lean teams a polished Business Analysis and Project Management layer without adding full-time headcount. BettyBot shapes discovery into usable requirements while PeggyBot drives follow-through. Meeting Mode turns one transcript into work the entire project team can use today.
Clarify the ask, capture scope, and move from stakeholder language to something teams can price, build, or validate.
Turn drift into visible ownership, clearer next steps, and leadership-ready reporting without starting from a blank page.
Use a transcript once, then leave with both analysis structure and delivery control instead of scattered follow-up notes.
Give every workspace a consistent way to move from intake to planning to follow-through with less friction in between.
Use BettyBot to shape discovery, requirements, questions, and acceptance-ready structure.
Use PeggyBot to keep projects visible, accountable, and easier to report on when delivery rhythm starts to fray.
Use Meeting Mode to keep a single conversation from turning into fragmented notes, forgotten owners, and second-round cleanup.
Each company gets its own workspace, access controls, and team invitations instead of a loose public chat experience.
Store the essentials for account operation while keeping persistent conversation storage intentional rather than automatic.
AI supports the work. It does not replace judgment, accountability, or qualified review for important decisions.
Use BettyBot, PeggyBot, and Meeting Mode inside a shared company context so the work feels coordinated instead of fragmented.
Choose a single role, or bring both together so analysis and follow-through live in the same workspace.
For solo operators and small teams testing one structured workflow at a time.
For consultants and teams that need stronger output, faster polish, and repeatable delivery rhythm.
For companies that want BettyBot and PeggyBot working together inside one calm team workflow.