Meet Aiva: the AI agent that reads, decides, and replies in one turn

Most "AI" features added to support tools in the last two years are one prompt deep. They take a customer message, run it through a model with your help center stuffed into the context, and return whatever comes out.

That works for the first ten percent of questions. Then it breaks.

Aiva was built to handle the other ninety.

What Aiva is

Aiva is the AI agent inside Assistify. She reads a customer message, decides what is being asked, and picks the right move from everything you have connected — your knowledge base, your CRM, your order system, your billing tool. If one lookup is not enough, she chains up to ten steps in a single turn before replying.

If the answer is not there, she hands off to your team. Full context attached. No starting from zero.

Three things define how Aiva works:

1. She understands the intent. Reads the message, identifies what the visitor needs, picks the right move from everything you have connected.
2. She chains multiple actions. If one lookup is not enough, she chains up to ten steps in a single turn — gathering everything she needs before replying.
3. She escalates smartly. Once the data is in, she replies with a complete answer. If the answer is not there, she hands off to your team with full context.

That third point is where most AI tools quietly fail. Aiva was designed around it.

What makes her different from a chatbot

Three things that almost no chatbot does — and that change the experience completely.

1. Grounded in your content, not the internet.

Aiva answers from your knowledge base, your help center articles, your product docs. Not from whatever she absorbed during training. If you have not written it down, she will not invent it. If you update an article, her answer updates with it.

This is the part that turns "scary AI" into "trusted teammate." She is allowed to know what you have taught her. Nothing more.

2. Real tool use, not just chat.

Aiva does not just describe what should happen. She makes it happen. Look up an order. Check a subscription. Update a contact in your CRM. Trigger a webhook. Send a follow-up. Each one is a tool she can call, and she chooses the right one for the situation.

This is the difference between an agent and a search bar with manners.

3. Honest about her limits.

When she does not know, she says so. When the question is too sensitive — a complaint, a refund she cannot authorise, a churn risk — she hands off cleanly, with a one-paragraph summary of what was tried so your team picks up where she left off.

Customers feel the difference. Your team does too.

How Aiva fits into your stack

Aiva lives inside Assistify, which means she shares your inbox, your contacts, your conversation history, and your routing rules. You do not bolt her on. She is already wired in.

That means:

• The same conversation can start with Aiva and finish with a human, without anyone losing context.
• Aiva's replies show up in the same inbox as everything else — not in a separate "AI tab" you have to remember to check.
• Every conversation feeds back into the analytics you already use to run your team.

If you are migrating from another tool, your existing knowledge base imports in minutes. Aiva is reading and answering the same day.

Where Aiva works best

Three patterns where teams see the most value in the first month:

• Repetitive customer support. Where is my order, how do I cancel, what is your refund policy. Aiva handles the question, your team handles the exceptions.
• Pre-sales conversations. Visitors ask about pricing, features, integrations. Aiva qualifies the lead, sends them the right resource, and pulls in a human when the conversation gets serious.
• After-hours coverage. Aiva does not sleep. Conversations that used to die at 6pm now get a real answer at 2am.

Where Aiva should not work alone

We are honest about this on the product page too. Aiva is not the right hand on:

• Refunds above a threshold you set.
• Account closures or anything irreversible.
• Conversations where the customer has already escalated emotionally.

In all three cases she steps aside automatically. You decide where the line is.

Setting up Aiva

Most teams get to a useful Aiva in under an afternoon. The shape:

1. Connect your knowledge base or upload your help articles.
2. Choose her tone of voice — formal, casual, your brand's existing voice.
3. Set the rules for when she hands off.
4. Drop the widget on your site.

That is the whole onboarding. No prompt engineering. No model selection. No prompt library.

What you can expect in the first month

We do not promise specific deflection rates here, because they depend entirely on your content. What we do promise: a clear view of what she answered, what she got wrong, and where customers got frustrated. From there you tighten the knowledge base, adjust her tone, and watch the numbers move.

Try Aiva on your site

The fastest way to understand Aiva is to put her in front of your own questions, on your own content.

Install Aiva in under 5 minutes →