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Full Integration

Authava Integration: Built to Fit Into Your World

Most chatbots are islands. You drop them on a page, they answer some questions, and that's the end of the relationship. They don't know who the current user is, so they can't look up your data. The bot is the same for everyone. They can't talk to your systems. They can't be managed programmatically. They may start fast for a demo, but hit a wall when you need to go further.

Authava was built by principal engineers with billion-dollar enterprise experience. It's API-first from the ground up — anything you can do through the dashboard or chat widget, you can also do through an API call. Your bot isn't a bolt-on. It's part of your stack.

The Short Version

Here's what Authava integration covers:

  • Management API — anything you can do through the dashboard or chat widget, you can also do through an API call: create bots, upload documents, pull transcripts, set messages
  • Full lifecycle webhooks — hook into before, during, and after the conversation
  • User authentication — your bot can inherit your app's security context and know who's logged in
  • Host page awareness — the bot knows what page it's on and can respond accordingly. The initial message can use querystring parameters to customize it.
  • UI integration — open it via JS, trigger JS from it, or embed it in your own widget
  • Push notifications — your backend can push messages into an active chat session
  • CRM integration — newly collected contacts and transcripts go straight into your CRM (like Hubspot)

Management API

The management API means you can treat Authava like infrastructure. Anything available in the UI dashboard or chat widget is also available via API call.

Practical examples:

  • Create and configure a new bot entirely via API. We could bulk-create 100 bots.
  • Upload documents programmatically — pair this with n8n and document ingestion becomes a pipeline, not a manual task.
  • Pull all chat messages — feed transcripts into your analytics, compliance archive, or CRM
  • Set the greeting or tooltip dynamically — "Your account balance is $213", set at runtime

Application API: Webhooks at Every Stage of the Conversation

Authava hooks into the entire conversation lifecycle — before, during, and after.

Before the Chat Starts

Before a user types anything, you can call your own API and inject context:

  • Time-aware greetings: "We're closed right now, but your chatbot is ready to help"
  • Personalized openers for authenticated users: "Hi Marcus, your current balance is $1,232"
  • Campaign or referral context based on where the user came from

During the Chat

As the conversation progresses, Authava can call external APIs mid-conversation, routed by matching against your configured Q&A logic. When a user asks "give me a quote" or "what's your top-selling product this week," you want a real and accurate answer from your real system — not an LLM guessing it.

The bot also knows which page it's currently on. The same bot can respond differently depending on whether the user is on your pricing page, support page, or product page — without any extra input from the user.

After a Lead is Captured

When a user provides their name and email, you can fire a webhook. No need to wait for the conversation to end.

After the Chat Ends

Post-chat analysis, transcript archiving, sentiment scoring, CRM updates — all triggerable when the session closes. This is especially useful when the bot is part of your larger sales funnel.

A Note on n8n

Authava doesn't try to be a workflow orchestration tool. n8n is good at that, and we work well with it. Authava can call n8n, and n8n can call Authava. If you're already running automation through n8n, it plugs in cleanly.

Security: Your Data Stays Yours

Authava's webhook model means your bot calls out to your API to fetch data at runtime. You are not uploading your customer database to Authava. Sensitive data - account balances, order history, personal records - stays in your environment. The bot requests it, your system returns it, it surfaces in the chat.

Push Notifications

Your backend can push a message into an active chat session in real time. A user is mid-conversation and their order gets filled - you push "Your order was just filled." The bot becomes an interactive notification surface as well as a Q&A tool.

User Authentication

Authava supports full single sign-on integration. The bot inherits the security context of your host application with the user needing to re-enter their credentials.

How it works: your host app passes an authentication token to the bot. The bot calls your verification API to validate it. Once authenticated, the bot knows who it's talking to and can serve account-specific responses.

This enables things like:

  • "What is my account balance?" - pulled from your live data, for the actual logged-in user
  • Per-user greeting messages set at session start
  • Role-aware responses

Our managed services team works with your developers to set this up. It requires real integration work, but it's well-trodden ground for us.

Query String Integration

Authava can read query string parameters from the host page URL and use them to set the welcome message or initial context. Useful for campaigns, multi-tenant portals, or anywhere you want to pass context without a full authentication flow.

CRM Integration

When a user provides contact information through the bot, Authava can automatically create or update a record in your CRM (such as HubSpot) — including the full chat transcript.

UI Integration

  • The host page can open the bot via JavaScript — trigger it from any element, not just the default launcher
  • The bot can trigger JavaScript on the host page — a user asks where something is, the bot highlights it directly on the page
  • Embed as your own widget — run the bot in full-screen mode with the close button hidden, drop it into any container, and it looks like a native part of your UI rather than a popup

Model Context Protocol (MCP)

Authava supports the Model Context Protocol (MCP) standard. If your integration requires it, reach out to our managed services team and we'll scope it with you.

The Bottom Line

Authava was built for teams who need a chatbot that fits into how their business actually works.

If you're evaluating integration depth, the questions to ask are: Can I manage it via API? Does it know who my users are? Can it call my systems mid-conversation? Can I embed it on my terms?

For Authava, the answer to all of those is yes.