Private AI workspace for service businesses

Turn scattered company knowledge into grounded answers and proposal-ready work.

AskMarni gives service teams one private place to organize company files, ask better questions, and keep proposal work reviewable before it reaches a client.

Private document libraryGrounded answers with sourcesReviewable proposal workflow

Why teams look for this

Most proposal work still lives across inboxes, old documents, and whoever happens to remember the answer.

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.

Scattered knowledge

Important details live across past proposals, process docs, and team memory instead of one reliable workspace.

Weak AI answers

Generic chat tools respond quickly, but they often cannot show where an answer came from or whether it should be reviewed.

Unstructured proposal work

Teams end up assembling deliverables manually instead of moving through a cleaner review and export path.

What users can do today

Plain-language features built around the current product wedge.

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

Keep company knowledge and proposal work in one private place.

Users sign in to a dedicated workspace instead of juggling scattered files, draft notes, and one-off AI prompts.

Secure file library

Upload the documents your business already relies on.

The app supports a private document library with visible processing status so teams can turn existing material into usable context.

Grounded chat

Ask questions over your own material and get answers tied to sources.

Saved chat history, source-backed responses, and review-aware labels make the assistant feel more reliable than a blank-slate chatbot.

Reusable business context

Save important company details once so they can be reused later.

The product includes a durable place for structured business facts that can support more consistent work over time.

Review workflow

Keep proposal work reviewable before it goes out.

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

Start with a founder-led setup flow instead of a bloated self-serve maze.

AskMarni supports guided onboarding and document-assisted setup so the first implementation can stay narrow and useful.

Why it feels more trustworthy

The current product is designed around control, traceability, and review boundaries.

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.

Private company files stay inside the workspace instead of becoming loose public data.
Chat replies can point back to sources rather than hiding behind generic confidence.
The workflow supports review-minded output labels instead of treating every draft as ready to send.
Proposal work stays organized inside the workspace with a structured internal export path.

Best-fit teams

Built for service businesses that already sell through proposals, scopes, and company know-how.

The current shape fits teams that need grounded answers and cleaner proposal work more than they need a giant business-operations platform.

Agencies

Useful for teams that repeatedly package services, capabilities, timelines, and proof across new client proposals.

Consultancies

Helpful when the same company truth needs to show up consistently across pitches, scopes, and supporting documents.

MSPs and project teams

A fit for groups that rely on documentation, repeatable offerings, and proposal-style delivery before broader workflow expansion.

Ready for the next step

Keep the public story focused while the product keeps getting stronger.

The first live homepage should make the wedge clear: private company knowledge, grounded AI help, and reviewable proposal work for service teams.