Scattered knowledge
Important details live across past proposals, process docs, and team memory instead of one reliable workspace.
AskMarni gives service teams one private place to organize company files, ask better questions, and keep proposal work reviewable before it reaches a client.
Why teams look for this
That makes every new draft slower, less consistent, and harder to trust. The first version of AskMarni is designed to clean up that exact mess without pretending to be an all-in-one suite.
Important details live across past proposals, process docs, and team memory instead of one reliable workspace.
Generic chat tools respond quickly, but they often cannot show where an answer came from or whether it should be reviewed.
Teams end up assembling deliverables manually instead of moving through a cleaner review and export path.
What users can do today
This template stays honest about the software as it exists now: focused, private, and built for service teams working from company knowledge toward proposal work.
Private workspace
Users sign in to a dedicated workspace instead of juggling scattered files, draft notes, and one-off AI prompts.
Secure file library
The app supports a private document library with visible processing status so teams can turn existing material into usable context.
Grounded chat
Saved chat history, source-backed responses, and review-aware labels make the assistant feel more reliable than a blank-slate chatbot.
Reusable business context
The product includes a durable place for structured business facts that can support more consistent work over time.
Review workflow
Outputs can move through an internal review and export path instead of jumping straight from an AI draft to a client-facing file.
Guided setup
AskMarni supports guided onboarding and document-assisted setup so the first implementation can stay narrow and useful.
Why it feels more trustworthy
That matters because service teams are not just chatting for fun. They are working with company truth, client-facing outputs, and material that should not drift into guesswork.
Best-fit teams
The current shape fits teams that need grounded answers and cleaner proposal work more than they need a giant business-operations platform.
Useful for teams that repeatedly package services, capabilities, timelines, and proof across new client proposals.
Helpful when the same company truth needs to show up consistently across pitches, scopes, and supporting documents.
A fit for groups that rely on documentation, repeatable offerings, and proposal-style delivery before broader workflow expansion.
Ready for the next step
The first live homepage should make the wedge clear: private company knowledge, grounded AI help, and reviewable proposal work for service teams.