What AI chatbot development can include
Aranv builds AI chatbots and assistants for small and midsize businesses: website chat that answers from your own content, support assistants that hand off to your team, and internal assistants that find answers in company documents.
An AI chatbot is only as good as the content and systems behind it. We start by agreeing which questions it should answer, which sources it may use and when it must hand the conversation to a person.
A typical scope covers conversation design, a knowledge base built from your approved pages and documents, connections to systems such as your CRM, help desk or order system, and the chat interface for your website or app.
Illustrative customer support chat
A chatbot that answers, and knows when to hand off
- 01 A customer asks A question arrives on your website, app or messaging channel.
- 02 The assistant looks it up It searches approved content and the account data it may use.
- 03 Your team steps in Complex or sensitive conversations go to a person, with context.
- 04 Every answer is logged Review transcripts, fix content gaps and track resolutions.
Sources, permissions and hand-off rules are agreed before launch.
Where an AI chatbot helps
A good chatbot handles the questions people ask most, using information you already maintain, and passes everything else to your team with the context attached.
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Website and sales chat
Answer product and service questions from your own pages, capture contact details and book meetings with qualified visitors.
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Customer support
Resolve common questions such as order status, returns and how-to steps, and hand complex cases to your support team.
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Internal help desk
Give staff quick answers about policies, procedures and systems, drawn from your handbooks and documents.
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Account and order updates
Let signed-in customers check orders, bookings or invoices securely through your existing systems.
How we approach a project
Answers are grounded in your content with retrieval-augmented generation, so the assistant can show where an answer came from instead of guessing. See RAG knowledge search for how this works, and AI agent development when the assistant should also take actions.
Before launch we test the assistant on real questions, including difficult and off-topic ones, and set up transcripts and reporting so you can see what it resolves and where content is missing.
Cost depends mainly on the number of channels, the systems it connects to, conversation volume and model usage. We give you a scoped estimate after a short discovery.
How we work
- Answer from approved sources
- Hand off to people
- Measure every conversation
Our Process
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Pick the conversations
List the questions customers and staff ask most, the answers you want given, and the cases that must go to a person.
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Prepare the knowledge
Gather and tidy the pages, documents and data the assistant may use, and agree who keeps them current.
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Build and test
Connect the channels and systems, then test with real questions, edge cases and attempts to push it off topic.
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Launch and improve
Start with a limited audience, review transcripts regularly and expand once answers and hand-offs work well.
Let’s talk about your next step.
Tell us about your workflow, current tools and goals.
AI chatbot development FAQs
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Will the chatbot make up answers?
It is set up to answer only from your approved sources and to say when it does not know. We test for this before launch and review transcripts afterwards, but no AI is perfect, so sensitive topics should go to a person.
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Can it hand conversations to our team?
Yes. Hand-off rules send complex, sensitive or frustrated conversations to your team in your help desk or chat tool, with the conversation history attached.
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Which channels can it work on?
Most often your website, but also mobile apps and messaging channels your customers already use, depending on the integrations each platform supports.
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How is customer data protected?
The assistant accesses only the data it needs, signed-in users see only their own records, and conversation logs follow your retention rules. We review the AI provider’s data terms with you before launch.
Let’s talk about your next step
Contact Aranv to discuss your workflow, current tools, and goals. Meet with our team or send an inquiry.
Book a meeting with our team
Choose an available date and time for a 30-minute conversation about your project.
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