Your documents,
finally usable.
What it is.
A working knowledge layer for the business. Internal search and assistants that draw only from your approved documents, with citations back to source so the team can verify what they read.
Access is permissioned, the data flow is mapped before anything is built, and human review sits in the loop on anything regulated or high stakes. The point is fast, accurate retrieval inside a controlled boundary.
What it includes.
- 01 Internal search One place to ask, with answers grounded in your approved documents.
- 02 SOP assistants Step-by-step guidance pulled from the procedures you have already written.
- 03 Policy retrieval Fast, sourced answers on internal policy without digging through PDFs.
- 04 Knowledge hubs A single, navigable surface across drives, wikis, and intranet sources.
- 05 Proposal preparation support Faster first drafts assembled from prior work and approved language.
For teams who keep re-answering the same question.
The operating problem is institutional memory living in a few people. Onboarding stalls, proposals get rebuilt from scratch, and policy questions wait on whoever is least busy. A knowledge system makes the documentation actually useful.
How it is built.
- 01
Discover
Identify the document set, the access rules, and the questions worth answering well.
- 02
Design
Define retrieval scope, citation style, and where human review is required.
- 03
Build
Connect sources, build the search and assistants, and test against real questions.
- 04
Operate
Refresh content, refine prompts, and add categories as the business writes more down.
What it isn't.
- Public chatbot.
- Document leak risk.
- Replacement for human review on regulated answers.
Engagement shapes.
-
Pilot
A fixed three to five week build on a contained document set with one team.
-
Full build
A six to ten week engagement covering search, assistants, and access controls.
-
Operating partner
Retained iteration as documentation, teams, and source systems evolve.
Questions, answered.
- Where do the answers come from?
- Only your approved documents. We do not pull from the open web.
- Is our data safe?
- Yes. We follow least-privilege access and document the data flow before building.
- Who reviews answers?
- You decide. Some categories pass straight through, others require human sign-off.
- Does it work on PDFs, Notion, Drive?
- Yes, plus most CMS and intranet sources.
- How fast can a pilot run?
- Three to five weeks for a contained document set.
If you are ready to operate differently, let's talk.
AI Adoption and Digital Systems for Businesses
Mapletree Studio helps businesses move from interest in AI to practical implementation through clear strategy, custom tools, workflows, and digital experiences.