ThinkDeck
// chatbot_development

Chatbot development that answers like your best support rep.

ThinkDeck offers custom AI chatbot development for startups. Our chatbots are trained on your docs, website, and past tickets, speak in your brand's voice, cite their sources, and hand off to your team when they should. They're deployed on your site in weeks and improved every week after.

→ see the process
// use_cases

Chatbots we build

Customer support chatbots

Answer product, billing, and how-to questions from your help centre, deflecting repetitive tickets around the clock.

Sales & lead capture chatbots

Answer pricing and fit questions, qualify visitors, capture leads into your CRM, and book demos inside the conversation.

Documentation & product assistants

Help users find answers across docs, API references, and changelogs, with links to the exact source.

Internal knowledge chatbots

Give your team one place to ask about policies, processes, and internal wikis, in Slack or on the web.

Multilingual chatbots

Answer in your customers' languages from your existing English content, with the same tone and accuracy.

Chatbots with agent actions

Go beyond answers: hand off to an AI agent that changes plans, processes refunds, or reschedules bookings, with guardrails.

// process

Our chatbot development process

  1. 01

    Define the job

    What the bot handles, what it hands off, and the metrics that matter: resolution rate, leads, or deflected tickets.

  2. 02

    Audit your content

    We gather and clean your docs, pages, and tickets, and fill gaps behind your most common questions.

  3. 03

    Build the question set

    100–200 real questions with good answers, including the tricky ones, to measure accuracy before launch.

  4. 04

    Tune retrieval

    Hybrid search, re-ranking, and metadata so the bot finds the right content, which prevents most bad answers.

  5. 05

    Personality, guardrails, integrations

    Your tone, honest 'I don't know' answers, handoff to humans, and connections to your CRM, helpdesk, and calendar.

  6. 06

    Launch & improve weekly

    Staged rollout, then weekly log reviews: unanswered questions become content, wrong answers become test cases.

// deliverables

What you get

  • A custom RAG chatbot trained on your docs, website, and support history
  • A fast, on-brand chat widget that doesn't hurt Core Web Vitals or SEO
  • Source citations and safe fallbacks instead of made-up answers
  • Integrations with your CRM, helpdesk, calendar, and Slack or WhatsApp
  • An analytics dashboard: resolution rate, top questions, content gaps
  • Full ownership of the code, prompts, and indexed data, with no per-resolution fees
// why_thinkdeck

Why startups choose ThinkDeck for chatbot development

Accuracy is measured, not assumed

Every chatbot is scored against a real question set before launch and after every change.

Live in weeks

A chatbot trained on clean docs can go live in 1–3 weeks, and we improve it from real conversations after that.

Ready to grow into agents

When answering isn't enough, we extend your chatbot with AI agents that take real actions, built by the same team.

// faq

Chatbot Development: frequently asked questions

What is custom chatbot development?

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Building a chatbot specifically for your business: trained on your own content, in your tone, connected to your tools, and tested against your customers' real questions, rather than a generic template.

How much does chatbot development cost?

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Custom RAG chatbots typically cost $3,000–$15,000; integrated support or sales bots $15,000–$50,000. See our chatbot development cost guide. We give a fixed price after a content audit.

How long does chatbot development take?

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A chatbot trained on clean documentation is usually live in 1–3 weeks. Multiple integrations, multilingual support, or messy content add a few weeks.

Can the chatbot be trained on our website and documents?

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Yes. We index your site, help centre, PDFs, and past tickets, and the chatbot retrieves from them to answer, citing its sources. Content updates are re-indexed automatically.

How do you prevent the chatbot from giving wrong answers?

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Answers are grounded in retrieved content only, retrieval is tuned against a real question set, the bot says when it doesn't know, and sensitive topics are handed to a person.

Chatbot or AI agent: which do we need?

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A chatbot answers questions; an AI agent completes tasks across your systems. Read AI agent vs chatbot, or tell us your use case and we'll recommend one.

// next_step

Tell us what you're building.
We'll tell you how fast we can ship it.

contact@thinkdeck.site