AI Chatbot Development Company

What an AI chatbot grounded in your content does

An AI chatbot grounded in your content answers customer questions using your own documents, not the model's general knowledge. Arcesso connects the chatbot to your help center, policies, product data and past tickets through retrieval-augmented generation (RAG), so each answer comes from a source you control.

The chatbot shows where each answer came from and says when it does not know. When a question is outside its knowledge, involves money or sounds urgent, the chatbot hands the conversation to a person with the full history attached.

For sales and onboarding, the same approach answers product and pricing questions from your approved content, qualifies the visitor and books a call. The goal in both cases is fewer repeat questions for your team and faster answers for customers, measured against the numbers you have today.

Custom AI chatbot vs scripted bot vs off-the-shelf tool

A custom AI chatbot fits when your answers depend on your own data, systems or rules. A scripted bot fits a short, fixed menu of options. An off-the-shelf help-desk AI add-on fits when your content already lives in that help desk and you need nothing more.

Arcesso will tell you if an off-the-shelf tool is enough. Many teams should start there and only build custom when they hit limits on data sources, channels, actions or control over the model.

If you do build custom, the knowledge pipeline and eval set are yours. You can move to a different model, add a channel or swap the chat widget later without starting again, because the hard part, clean content and tested answers, stays in your repository.

Website, in-app, WhatsApp and SMS chatbots

Arcesso builds chatbots for the channels your customers already use: your website, your web or mobile app, WhatsApp and SMS. One knowledge pipeline and one set of rules can serve every channel, so answers stay consistent.

Arcesso already markets WhatsApp AI agents, AI appointment booking and AI voice receptionists on arcesso.ai for service businesses, startups and government portals such as eVisa and citizen services. That product work shapes how we handle message templates, opt-in rules, business hours and hand-off to staff.

WhatsApp and SMS run through the WhatsApp Business Platform and Twilio, with consent and opt-out handled in the flow. In-app assistants use your existing login, so the chatbot only sees the data that signed-in user is allowed to see. If your customers call more than they type, see our AI voice agents page.

How we measure chatbot quality: resolved tickets, not chat volume

Arcesso measures a support chatbot on how many conversations it resolves correctly and how cleanly it hands off the rest. Chat volume alone says nothing about whether customers got the right answer. We agree the targets with you during scoping and report on them every month after launch:

• Resolution rate: conversations closed without a person, checked by sampling and customer feedback.
• Answer accuracy: scored against an eval set of real questions with known answers, rerun on every change.
• Hand-off quality: escalations that reach the right person with the full context attached.
• Risk checks: tests confirm the bot does not answer refund, legal or medical questions beyond your approved content.
• Cost per resolved conversation: model and hosting cost divided by real resolutions.

What AI chatbot development costs

AI chatbot cost depends on how many content sources it reads, how many channels it serves and whether it takes actions such as order lookups or bookings. A support assistant on one channel with one knowledge base costs much less than a multi-channel bot connected to your CRM and billing system.

Running costs include model usage, hosting and any messaging fees from WhatsApp or SMS providers. Arcesso shows these per month in every estimate, alongside the build.

Arcesso publishes its prices: a chatbot grounded in your content starts at $8,900, with most projects between $8,900 and $22,500 and monitoring at $225 per month, set 5–10% below the comparable market figures on our pricing page. Arcesso is not the right choice if a help-desk add-on already meets your needs, because building custom would cost you more for the same result.