How it works

How Zaviro learns
your business.

Zaviro reads from the tools your team already works in, and what it learns becomes a continuously updated knowledge base of how your business actually runs. Any AI your team uses can answer from it. Here’s how it gets built.

The tools a business runs on, linked around the Zaviro mark to the people, projects, decisions, commitments, deadlines, customers, vendors and conversations it learns from them
01 — How the picture gets built

Your business happens. Zaviro learns it.

An email arrives. A file lands in the drive. A deal updates in the CRM. Zaviro reads each one, recognizes what’s inside, and adds it to what your business already knows.

Everything that flows through your business

Gmail
Outlook
Google Drive
Dropbox
OneDrive
SharePoint
Notion
HubSpot
Make
Shopify
Zaviro reads all of it.
01 Information arrives: an ordinary inbound email from Lisa Henderson about the kitchen quote
02 Zaviro learns: the people, project, commitments and relationship it recognized in the email
03 The knowledge base updates: added, connected, updated

Built quietly
in the background

Multiply that by every email, file, and meeting note your business produces.

That’s the picture.

And it keeps
the source documents.

Every answer points back to a real source.

Zaviro stores the actual email, file, or document it read from, not just what it extracted. When your AI cites the $24,800 quote, you can open the real PDF. When it cites Lisa’s reply, you can read the real email. If Zaviro can’t ground an answer in a real source, it tells you.

02 — How privacy works

Every piece of information has an owner.

Your personal data isn’t private because we promise. It’s private because the system enforces it on every single request. Automatically, before anything reaches the AI that asked.

In plain terms

The system can’t return data to a user the data doesn’t belong to.

Everyone gets two knowledge bases: a personal one, and the shared one the team builds together. Mike’s personal connections land in his personal knowledge base, visible only to him. The team connections land in the shared one. What’s his stays his. What’s shared stays shared.

Every request passes through the scope gate, whether it’s Sarah’s, Mike’s, an agent’s, or an automation’s. The gate checks who’s asking, then filters out anything they don’t own.

There’s no admin override. Nobody, not even the owner, can see your personal knowledge base. Sarah’s requests reach the shared knowledge base and her own. Mike’s isn’t reachable from her side, and there’s no setting that changes that.

The scope gate: every request passes through it before reaching Mike’s personal knowledge base or the team’s shared knowledge base

The boundary is in the code.

No one at Zaviro can switch it off, and no update can sneak past it. Privacy isn’t a feature we ship. It’s a rule the system can’t disobey. Hosted on AWS. Encrypted in transit and at rest.

What Zaviro never touches

Zaviro knows your business.
Your AI tools act on it.

The division is structural. Two boundaries make it real.

The connection is one-way.

Zaviro reads from your tools, recognizes what matters, and builds a continuously updated understanding of your business. It never writes back to those tools. Your Gmail stays your Gmail, your Drive stays your Drive. Your AI agents do the writing, sending, and scheduling, with their own permissions you’ve granted them. Two roles, two responsibilities.

The originals never change.

Corrections refine the understanding, never the source. Every original stays in the tools you already own, and opens from any citation.

Gmail, Claude, Dropbox, Microsoft Copilot, Notion, Perplexity, ChatGPT, OneDrive, Fin, Google Drive, Hermes Agent, Gemini, DocuSign, n8n, SharePoint, Buildium, HubSpot and Outlook beside the knowledge base’s added, connected and updated layers
03 — How Zaviro stays accurate

It learns from your team. It improves with your AI.

Businesses move fast. Plans change on a call, decisions happen in a hallway, and some things never make it into writing. So your team can just say so, and the knowledge base catches up.

Zaviro learns from everyone: a whole team feeding one knowledge base
A ‘can you fix…’ prompt to ChatGPT, Claude, Gemini or Perplexity

Where corrections happen.

In your AI, conversationally.

Your team just tells their AI what needs fixing. No new app, no special interface. The fix sticks, and future learning respects it.

The knowledge base, its answers upgraded with the AI, and the tools that connect to it

Your AI upgrades. Your answers upgrade with it.

AI models get better every few months. When yours does, it reasons over the same knowledge base with more skill. Nothing about your setup changes.

Six months in, your knowledge base holds your entire team’s understanding of the business.

The corrections accumulate. The upgrades arrive. The picture sharpens.

04 — What setup looks like

Connect once. It just runs.

Set the whole thing up in an afternoon. Then leave it alone.

Five connected sources
Step 1
~15 min
Connect

Hook up your tools.

A few clicks per source, and you never hand over a password. No IT ticket, no implementation team.

A progress bar labelled learning
Step 2
Minutes to hours
Learn

It learns your business.

The picture starts forming. You can ask questions immediately, and answers get better as more comes in.

A link icon beside ChatGPT and Claude
Step 3
~10 min
Deploy

Plug it into your AI.

Whichever AI your team uses or switches to. Grounded answers from day one.

A badge reading running automated
Step 4
Ongoing
Run

Walk away.

Zaviro keeps reading. Your team corrects what’s wrong as they spot it. The picture gets sharper on its own.

Set up in an afternoon. Useful that same afternoon.

There’s no implementation team, no project plan, no procurement cycle. Start asking questions the day you connect. Expect to find something you didn’t know within the first hour.

05 — How it shows up

How work changes shape.

Once your team’s AI tools know what your business knows, four patterns emerge. None is a new workflow.

Answers

Get answers grounded in real data.

Questions about customers, projects, history, status, answered with a citation back to the real source.

Drafts

Replies and documents with context already loaded.

Your AI drafts already aware of who the customer is, what was
promised, and how the prior conversation read.

Alerts

Get told before you have to ask.

Briefings, digests, alerts: renewals coming up, a recurring invoice that didn’t arrive, two documents that disagree. Nobody has to be watching; the alert comes to you, in your inbox and in your AI.

Actions

Hand multi-step work to your agents.

Agent tools like Cowork run whole jobs from your knowledge base: follow-ups, scheduling, weekly digests.

Same Claude. Same Slack. Same Gmail. Same everything else your team prefers.

Zaviro is the knowledge behind every one of them. The work happens where your team already works.

Building something custom? Zaviro speaks MCP and ships an open API. The Developers page covers both, plus the CLI.

Now you've seen how it works

Put it behind your AI.

Connect your business. Watch your AI answer like it’s worked here for years. 14-day trial. Set up in an afternoon.