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Feature Use Case

Using ai agents to improve onboarding invoicing software

Using ai agents to improve onboarding invoicing software — answered from your own docs. How Invoicing Software teams use Chatref (ai agents, ai agents) to solve

Chatref Team4 min read / Updated June 25, 2026

AI agents trained on your onboarding docs answer setup, template, tax, and payment gateway questions the moment a new user asks – no waiting for support. Users finish onboarding faster while your team stays free for complex billing issues. Chat insights then reveal which steps cause the most friction, so you can update documentation or product flows proactively.

The use case

New users of invoicing platforms hit the same roadblocks repeatedly: setting up tax codes, choosing an invoice template, configuring payment gateways, or understanding multi-currency. Without immediate help, many abandon the product before they send their first invoice.

For Invoicing Software teams, that means the support inbox fills with the same few questions. Agents spend hours copy-pasting answers from a help center that users weren’t finding on their own. During product launches or seasonal spikes, the queue can delay onboarding by days.

AI agents change that. Instead of forcing a user to search a knowledge base or wait for a reply, the agent answers directly – from your own setup guides and FAQs – inside the product. That keeps the support team available for edge cases like billing disputes or API errors, rather than re-explaining tax settings for the tenth time.

How it works

You give the AI agent the content it needs: onboarding walkthroughs, invoice creation tutorials, tax configuration references, payment integration docs, and any other material your team already maintains. The agent learns those documents and uses them to answer user questions, never guessing from the open web.

A small widget snippet sits on the pages where users typically get stuck – the first invoice screen, tax settings, or the payment gateway connection. When a new user types “How do I add a VAT rate?” or “Why can’t my Stripe integration go live?”, the agent pulls the answer from your docs and replies conversationally. The user stays in the flow and finishes onboarding faster.

The same agent can recognize when a question goes beyond its training – for instance, a broken integration – and hand off to a human agent with the full chat context. That means your team only steps in for issues that genuinely require a person, without losing the thread.

Set it up

Start by collecting the onboarding content your team already has: setup guides, sample invoices, tax rule explanations, and integration step-by-steps. Upload those documents, PDFs, or URLs to your Chatref workspace. The agent indexes them automatically; you can add or update content at any time with no extra training step.

Next, customize the widget’s primary color, greeting, and tone to match your brand. If your user base spans multiple languages, enable multilingual answers at this stage so the agent can respond in the user’s preferred language, drawing from the same set of source docs.

Embed the widget snippet on your app’s onboarding pages – especially the screens where support tickets spike: invoice creation, tax configuration, and payment gateway connection. You can also place it inside your help center so that users who land there get an answer without reading through articles.

Before going live, test the agent with the top ten onboarding questions your team answers daily. Adjust phrasing in your source docs if the responses need tightening. Once the answers feel natural, flip the agent on for new users and watch the support volume drop.

Get more from it

Once the agent is running, use the insights feature to see what new users are really asking. Chatref automatically tags conversations by topic – “tax,” “templates,” “Stripe,” “multi-currency” – and surfaces the most frequent themes in a dashboard. A weekly digest email tells you when a particular issue spikes, like “6 users stuck on payment gateway setup,” so you can correct the underlying docs or even fix a UI snag before it affects more people.

This loop turns support chatter into a product-improvement signal. If insight data shows that 40 % of onboarding questions are about a single tax rule, you might rework that part of the UI or add a clearer guide. After you update the docs, the agent’s answers improve automatically – no re-training needed.

Because the agent is not a per-seat subscription, you pay only for the actual conversations users initiate. You can let it run across your onboarding flows without worrying about idle fees, and scale usage only when question volume grows – for instance, during a new feature rollout or a pricing change that triggers a flood of questions.

FAQ

What causes onboarding invoicing software problems for Invoicing Software?

The most common friction points are unclear steps for tax configuration, confusion between invoice template options, difficulty connecting payment gateways (Stripe, PayPal, etc.), and a lack of real-time help when a user is stuck in the setup flow. These issues generate repetitive support tickets and cause users to abandon the platform before they reach any value.

How do I improve onboarding invoicing software for Invoicing Software?

Deploy an AI agent that answers questions from your own documentation directly inside the onboarding flow. That reduces the support queue for repetitive queries. Then analyze the chat insights to spot the most frequent onboarding questions, so you can refine both your help content and the product itself – closing the loop between what users ask and what the software delivers.

Put this into practice

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