Custom AI chatbots that actually answer — grounded, on-brand and in production.
We design and build AI chatbots for websites, support desks and internal teams. No generic ChatGPT wrappers — every bot is grounded in your content, guarded against hallucination, and measured from day one.
- A production AI chatbot live on your site or helpdesk
- A documented eval suite measuring accuracy and hallucination
- Analytics on questions, deflection and lead capture
- A team trained to maintain and extend the bot
What is an AI chatbot, really?
An AI chatbot is a conversational interface powered by a large language model that understands plain-English questions and answers them using your business's own content, data and tools. The good ones cite your sources, hand off cleanly to a human when stuck, and get sharper with use. The bad ones make things up. We build the first kind — using the same craft behind our specialist AI assistants and curated prompts library.
How is a custom chatbot different from ChatGPT?
ChatGPT is brilliant at general knowledge but knows nothing about your products, pricing, policies or tone of voice — and it will happily invent any of those. A custom chatbot is grounded in your content with retrieval, locked to your brand voice with prompts and guardrails, integrated with your tools, and evaluated against a test set you control. It's the difference between a clever intern and a trained employee.
Who is this for?
- SaaS & service businesses that want a website chatbot to qualify leads and answer pre-sales questions 24/7.
- Support teams drowning in tier-1 tickets that an AI agent could deflect with the right grounding and guardrails.
- Operations & people teams who want a private staff assistant for SOPs, HR policy or internal tooling.
Will the chatbot make things up?
Not on our watch. Every chatbot we ship uses retrieval-augmented generation so it answers from your sources, refusal patterns so it gracefully says "I don't know" when it should, and a golden-question eval suite so hallucination rate is measured — not assumed.
Three kinds of chatbot we build
Each is fixed-scope and built on the same grounded, guarded foundation. Most clients start with one and expand later.
Website AI Chatbot
An on-brand chatbot embedded in your site, grounded in your pages, that answers visitor questions, captures leads and books meetings.
- Trained on your site, docs and product copy
- Lead capture and CRM hand-off
- Calendar and meeting booking
- Conversation analytics dashboard
Customer Support Chatbot
A tier-1 support agent grounded in your help centre and historical tickets, integrated with your helpdesk to deflect volume and route the rest.
- Help-centre + past-ticket ingestion
- Helpdesk integration (Zendesk, Intercom, HubSpot)
- Smart escalation to a human agent
- Deflection and CSAT reporting
Internal Knowledge Chatbot
A private staff assistant grounded in your SOPs, wikis and tools so your team stops Slack-pinging the same five people for the same five answers.
- Secure ingestion of internal docs
- Role-based access and audit logs
- Tool calls into your internal systems
- Optional SSO and on-prem hosting
What's inside every SynaBot chatbot?
The six things we consider non-negotiable on every build. If a chatbot ships without them, it's a demo — not a product.
Grounded in your content
Retrieval-augmented generation over your site, docs, tickets and wikis — so answers cite your sources, not the open web.
Guardrails by default
Topic limits, refusal patterns, PII redaction and prompt-injection defences are part of every build — not an afterthought.
Tool calling & actions
Bots can take real actions — book meetings, raise tickets, look up orders, push to your CRM — through secure tool integrations.
Human escalation that works
Clear hand-off rules and full transcript passthrough, so when the bot can't help, your agent picks up mid-conversation with context.
Evaluated, not vibes-based
Every chatbot ships with a golden-question test set and an ongoing eval loop. We measure accuracy and hallucination — we don't guess.
Vendor-neutral stack
OpenAI, Anthropic, Google, Mistral or open-source. We pick the model that fits your data, latency and budget — and we tell you why.
How does a chatbot build run?
Four phases, weekly demos, everything documented. You see the bot improving in real time — not a dramatic reveal at the end.
- 01
Discovery & scope
A short workshop to nail the jobs the bot must do, the sources it can use, and how we'll measure success on day one.
- 02
Content & guardrails
We ingest your content, design the persona and tone, and write the guardrails for what the bot will and won't do.
- 03
Build & evaluate
We build the chatbot, run a golden-question evaluation suite, and tune retrieval and prompts until quality is production-grade.
- 04
Launch & monitor
We ship it to your site or helpdesk, wire up analytics, and review conversations weekly so the bot gets sharper, not staler.
Not sure a chatbot is the right answer?
Sometimes it isn't. If you'd like a vendor-neutral second opinion on where AI will actually move the needle for your business, start with SynaBot AI Consultancy — a two-week discovery sprint that maps the highest-impact use cases before anyone writes a line of code.
Ready to scope your AI chatbot?
Book a free 30-minute consult. We'll talk through the job to be done, the content we'd ground it in, and whether a chatbot is even the right answer.