Hestur AIHestur
    AI Chatbot DevelopmentPoC in 2–4 weeks

    AI Chatbots That Act, Not Just Answer.

    We build AI chatbots connected to your CRM, knowledge base, ticketing system, and APIs — so they can take actions, not just generate text responses. Support deflection, lead capture, booking, internal Q&A. Deployed in 2–4 weeks.

    Start Your PoCChatbot vs AI agent — what you need →

    What you actually need

    Most businesses need an AI agent, not a chatbot.

    A chatbot reads from a script and responds with text. An AI agent reads from your live systems and takes actions — books the appointment, updates the CRM record, creates the support ticket. The technology looks similar from the outside. The business impact is completely different.

    For a deeper look: Chatbot vs AI Agent — what you need

    Chatbot vs AI agent comparisonLeft panel: Chatbot — responds with text only, scripted flow, no system access. Right panel: AI Agent — acts across tools, reads and writes to CRM, databases, and APIs.CHATBOTResponds with textReads a knowledge base or scriptReturns a text answerNo system accessCannot take actionsCannot update your CRMAI AGENT (CHATBOT + ACTIONS)Responds and actsReads knowledge base + live system dataTakes actions: book, update, create, sendAccess to CRM, APIs, databases, emailMulti-step task completionUpdates your systems autonomouslyVS

    Use cases

    Six use cases we build most often.

    Support

    Customer support deflection

    The AI answers common questions from your knowledge base, handles FAQs, and creates tickets for complex issues — with full context already attached. Industry benchmarks: 50–70% of Tier 1 support deflectable by AI (Zendesk CX Trends).

    Sales

    Lead capture and qualification

    Captures visitor intent, asks qualifying questions, and routes high-intent leads to sales while nurturing lower-intent leads automatically. CRM entry created on every conversation.

    Internal

    Internal knowledge base assistant

    Answers employee questions from your HR docs, SOPs, policy documents, and internal wikis. Reduces "where do I find X" questions reaching your team. Connects to Confluence, Notion, SharePoint, or Google Drive.

    Booking

    Appointment and booking assistant

    Handles scheduling end-to-end: checks availability, books the slot, sends confirmation, and updates your calendar or CRM. Works across Google Calendar, Outlook, Calendly, and custom booking systems.

    E-commerce

    E-commerce order and returns assistant

    Answers order status, handles return requests, processes exchanges, and escalates fraud or damaged-item cases with full transaction context. Connects to Shopify, WooCommerce, and custom OMS.

    Onboarding

    Onboarding and account setup

    Guides new users through setup, collects required information, answers product questions, and triggers provisioning workflows — without a human involved until something unusual happens.

    Integrations

    Connected to your systems, not working around them.

    Your AI chatbot connects directly to your CRM, knowledge base, ticketing system, calendar, databases, and APIs. Every connection is validated during the PoC — no surprises at the production build stage.

    AI chatbot integration architectureCentral AI chatbot connected to six integration points: CRM, Knowledge Base, Ticketing, Calendar/Booking, Database, and Custom APIs.AIChatbotCRMSalesforce, HubSpotKnowledge BaseDocs, Confluence, NotionTicketingZendesk, FreshdeskCalendar / BookingGoogle, Outlook, CalendlyDatabaseSQL, MongoDB, BigQueryCustom APIsYour internal systems

    FAQ

    Common questions.

    What is the difference between a chatbot and an AI agent?

    A chatbot responds with text — it reads from a knowledge base or script and answers. An AI agent responds and acts — it can access your CRM, update records, create tickets, book appointments, and complete multi-step tasks. For most business use cases, you need an AI agent, not just a chatbot.

    Can the chatbot connect to our existing systems?

    Yes. We integrate with Salesforce, HubSpot, Zendesk, Freshdesk, Shopify, WooCommerce, Google Calendar, Outlook, and most systems with a REST API. The proof of concept validates the integrations with your real credentials before any production commitment.

    How is this different from off-the-shelf chatbot tools?

    Tools like Intercom, Drift, or Tidio give you a scripted chatbot that answers from a limited knowledge base. We build a custom AI agent: trained on your specific data, connected to your live systems, able to take actions (not just respond), and optimised for your exact use cases. The difference in capability is significant.

    How long does chatbot development take?

    Proof of concept on one use case (e.g., customer support deflection): 2–4 weeks. Full multi-channel production build with CRM integration and a knowledge base: 6–10 weeks. Every engagement is fixed-scope with a firm quote before work starts.

    Where does the chatbot live — on our website, in our app, or both?

    Both, and more. We deploy via web widget (your website), REST API (your mobile app or product), Slack, Microsoft Teams, or any channel with an API. The same AI core runs across all channels — you don't maintain separate bots per channel.

    Build a chatbot that actually does something.

    30-minute discovery call to scope the use case. 2–4 week PoC on your real data. Fixed price before we start.

    Start Your PoCNeed voice AI instead? →