The formats you already use
PDFs, Word, Excel, CSV, Markdown, HTML, and plain text. Whatever your documents were exported or saved as, Inquerio AI ingests them as-is.
Knowledge base
Ask the policies, handbooks, and contracts as if they were colleagues.
Inquerio AI brings your written knowledge into the same chat where you ask the systems. PDFs, spreadsheets, wiki exports, internal docs. Answers come back in plain English, with the source page cited next to every claim.
What teams ask the documents
Answers that used to mean opening five PDFs.
Questions whose answer is in a document, not a database. Inquerio AI finds the right files, pulls the relevant passages, and tells you where they came from.
›What is our refund policy for orders over €500 placed outside the EU?
Reaches across Customer policies, sales handbook
›Which clauses in our supplier contracts talk about price indexation, and which suppliers do they apply to?
Reaches across Contracts library
›What does the onboarding handbook say about access for new hires in finance?
Reaches across HR handbook, security policy
›Summarise our incident response procedure and point me to the page on customer notification.
Reaches across Operations runbooks
What lives in the knowledge base
Drop in the documents your team actually reads.
No new format, no rewriting. Whatever your policies, contracts, and handbooks already are, Inquerio AI reads them.
Sync from where docs already live
Point Inquerio AI at a folder, drive, or share. It picks up new and changed files according to the schedule you set, so the answer is never from last quarter's version.
Sourced answers, never just paraphrased
Every claim is paired with the source document and section. If the doc is updated, the next answer reflects it. If the source is missing, Inquerio AI says so instead of guessing.
Same governance as the rest of Inquerio AI
Documents inherit the same role and group rules as your live systems. People only see answers from the documents they are allowed to read.
Always the current version
When you update the policy, the answer updates as well.
Schedule a sync per source. Every hour, every night, every Monday. Inquerio AI re-reads what has changed since the last run, so old versions stop showing up in new answers.
For documents that change at a moment's notice, run a manual sync the second a new version goes out and have the updated answer ready before the questions arrive.
Where teams take it next
When the system around the knowledge changes, the knowledge stays.
Customers decide how far to take it. Some keep the knowledge base as their team's everyday answer surface. Others treat it as the place where the knowledge of an older system stays, so it is ready for the next one.
Procedures, runbooks, exported reports, the manual nobody updated for five years, and the rationale behind a decision made a long time ago. The kind of knowledge that today sits in a shared drive, in scattered emails, or in one person's head. The knowledge base gives it all one home, with sourced answers on top.
When an older system is on a path to be replaced, that home becomes a foundation. The old system stays connected and keeps answering live until the day it is switched off. In the meantime, teams capture what only that system knows into the knowledge base in their own words. The day the system is retired, the answers stay.
Combined with the rest of Inquerio, the captured knowledge does not sit still. Scheduled answers go out as an email digest, summaries drop into the right channel, and exports flow into whatever the next project or system needs. Inquerio never moves your transactional data. Knowledge that lives in your documents stays in your documents, just easier to reach.
How it ties together
Documents and systems, one chat.
Asking from systems
How Inquerio AI handles questions whose answers live in a database, ERP, or SaaS system, not a document.
What Inquerio AI reaches into
The systems your live data lives in, alongside the documents you bring to the knowledge base.
Who can ask what
Per-document, per-team access control on top of the same answer surface.
Bring a question whose answer is buried in a 90-page PDF.
Show us the document and the question. We'll show you the answer on the page already cited.