An AI knowledge agent that answers from your documents, accurately.
A custom RAG-powered knowledge assistant that answers questions from your own documents, wikis and data with traceable sources — so your team and customers get the right answer instantly instead of digging through files.
A day with your AI Knowledge Agent
No dashboards to learn. This is what you and your customers would actually see on an ordinary day. The details are illustrative; the pattern is the point.
- 09:20A new joiner asks in Slack
- 09:20Answered, with the source
- 11:05Permissions respected
- 15:40It flagged a gap
- 18:30Your evening summary
Found the clause in HR Policy 2024 §4.2 and linked it, so they can check for themselves.
Someone from sales asked about a client’s contract terms. They are not cleared for it, so the agent said so and pointed them to the owner.
Four people asked about the new leave policy and no document covers it yet. The agent asked HR to add one.
212 questions answered from 1,870 documents. Most asked: expense limits, leave policy, client onboarding steps.
What changes for you
How it fits into your day, in plain words
It watches where the work comes in
Your inbox, WhatsApp, website forms, phone line or shared folders: wherever the requests arrive today, the agent is connected to it.
It does the routine part itself
Answers, books, posts, chases and logs, using your own information and the systems you already use. No new software for your team to learn.
It asks you only when it needs you
Anything sensitive, unusual or above a limit you set waits for a person. You get a short summary of what it did, every day.
When you need an AI Knowledge Agent
Your team and customers stop hunting for information. These are the situations where this agent pays for itself, and what we build for each.
Banking & Compliance
Policy questions answered by whoever is free
Staff ask colleagues what the policy says because finding it takes longer than asking.
A knowledge agent that answers from the current policy set and cites the clause.
Enterprise & Government
Onboarding takes months
New joiners spend weeks learning where information lives across wikis, drives and inboxes.
One place to ask, across every source, that respects who can see what.
Product & SaaS
Customers cannot find the answer in your docs
Your help centre is complete and nobody reads it, so tickets keep coming.
A customer-facing assistant grounded on your docs that answers and links the source.
What the Knowledge Agent does, day to day.
Answers accurately from your documents, with sources.
- Instant answers instead of searching
- Grounded, cited, trustworthy responses
- Knowledge that scales without more staff
- Permission-aware and secure
- One place to ask, across all sources
Answer from your content
Grounds every answer in your documents, wikis, policies and data using retrieval-augmented generation (RAG).
Cite its sources
Shows where each answer came from, so people can trust and verify it instead of guessing.
Search everything at once
Pulls across scattered sources, PDFs, Confluence, Drive, SharePoint and databases, as one place to ask.
Respect permissions
Honors who is allowed to see what, so answers never leak data a user should not access.
Stay current
Re-indexes as your content changes, so answers reflect the latest version, not a stale snapshot.
Internal or customer-facing
Deploy it for your team as an internal assistant, or for customers as an accurate self-serve helper.
How we build and deploy it
- 01Ingest your sourcesWe connect your documents, wikis and data and build the retrieval layer, chunking and indexing for accuracy.
- 02Ground & citeConfigure RAG so every answer is sourced and the agent says when it does not know.
- 03Permissions & guardrailsWire access control so answers respect who can see what, with the tone and scope you set.
- 04Deploy & refreshGo live internally or for customers, with automatic re-indexing so it stays current.
Governed by design
The agent runs the routine autonomously. You keep control of the rest, by design, not by hope.
- Scoped read/write access per system, with approvals on sensitive actions
- Grounded on your approved content, so it escalates instead of guessing
- Every action logged and reviewable; you see exactly what it did
- Permission-aware answers that respect who can see what
- Deployed in your cloud or on-premise for data residency
- Full model, code and IP ownership, no lock-in
Get a free agent fit check.
Tell us the work your team does by hand and the systems it touches. We come back with a written read on whether an AI Knowledge Agent fits, what it needs from your data and integrations, and what it takes to ship.
- The repetitive work, in a paragraph
- The channels and systems it touches
- What a good outcome looks like
- Whether this agent fits, and what else would
- What we need from your data and integrations
- A phased plan with a ballpark estimate
The rest of the AI workforce
AI Knowledge Agent: common questions
What is RAG and why does it matter?
Retrieval-augmented generation grounds a language model on your own documents, so it answers from your real, current information with citations instead of guessing from general training. It is the difference between an accurate, trustworthy assistant and a confident but unreliable one.
Will it leak sensitive information?
No. We make it permission-aware, so it only surfaces content a given user is allowed to see, and your data is used to answer, not to train public models.
What sources can it use?
PDFs and documents, Confluence, Notion, Google Drive, SharePoint, your help center, and structured data in databases, combined into one place to ask.
How does it stay up to date?
We set up automatic re-indexing so when your content changes, the agent’s answers reflect the latest version without manual work.
Do you build custom agents, or sell a product?
We build them custom. Levitation is an AI development company: we design and build AI agents around your data, your systems and your rules, and hand over full ownership. You are not renting a generic SaaS tool.
What do we own at the end?
You own the models, the code and the IP, grounded on your data and running in your environment. No lock-in.
Ready to put an AI Knowledge Agent to work.
Tell us the work and the systems it touches. We will give you an honest read on fit, and what it takes to ship it.