Intent
Cover What People Already Ask
We start from tickets and FAQs so the bot handles shipping, pricing, and account help — not a demo script that misses the real questions.
Coverage
Mapped
AI Chatbots
AI Custom Chatbots That Answer From Your Business
Build a chatbot that knows your products, policies, and tone — and knows when to pass the conversation to a person. Trained on your content, not a generic script.
What a useful custom chatbot should do:
Your Knowledge
Human Handoff
Web & WhatsApp
Privacy Rules
Measurable
Keeps Improving
Models and platforms we use to ground chatbots in your content
OpenAI
Anthropic
Claude
Gemini
Mistral
Perplexity
Midjourney
OpenAI
Anthropic
Claude
Gemini
Mistral
Perplexity
Midjourney
A chatbot people trust — because it knows when it does not know.
springsol · chatbot studio
Choose the chatbot layer you need to ship next.
Discovery, knowledge, channels, guardrails, or ongoing improvement — see how SpringSol can put a custom AI chatbot on your site without leaving customers stuck.
Discovery
Map the Conversations Worth Automating
A useful chatbot starts with the questions your team already answers every day — shipping, pricing, booking, account help — not a generic script dumped onto the site.
We review transcripts, FAQs, and support tickets so the bot covers real intent and knows when to hand off to a person.
Support and sales conversation audit
Intent mapping and fallback rules
Tone of voice and brand guardrails
Clear human handoff paths
Knowledge
Train on Your Content, Not the Open Web
The bot should answer from your docs, product pages, policies, and CRM notes. We connect those sources and keep them current so replies stay accurate as the business changes.
If the answer is not in your knowledge, the bot says so — it does not invent a policy.
Website, help centre, and PDF sources
Product and policy knowledge bases
CRM and ticket history where allowed
Refresh cycles when content changes
Build
Custom Chatbots for Web, WhatsApp & Apps
We build chatbots that sit on your site, in WhatsApp, or inside a product — with the same brand voice and the same source of truth.
Flows cover FAQs, lead capture, order status, and booking. Complex cases go to your team with the transcript attached.
Website widget and in-app chat
WhatsApp and messenger channels
Lead capture and qualification
Ticket creation with full context
Guardrails
Safety, Privacy & Brand Control
Chatbots that talk to customers need limits. We set topics the bot will not cover, redact sensitive fields, and log conversations so you can review what was said.
Privacy and access rules follow how you already handle customer data — not a one-size prompt.
Topic blocks and escalation rules
PII handling and access control
Conversation logs for review
Role-based admin for editors
Docker
Improve
Measure, Retrain & Keep It Useful
After launch we watch unanswered questions, failed handoffs, and CSAT. Those gaps become new intents and better source content.
A chatbot that is never reviewed drifts. We treat it as a product with a backlog, not a widget you forget.
Unanswered-question reports
Handoff and resolution rates
Prompt and knowledge updates
Monthly review with your team
Support
Chatbot questions?
Honest answers first.
Will the chatbot make things up?
We ground replies in your approved content and teach the bot to say when it does not know. No system is perfect — that is why we log conversations, set handoff rules, and review misses. We do not claim zero errors.
Can it live on WhatsApp as well as the website?
Yes. We can run the same knowledge on a site widget, WhatsApp, and in-app chat so customers get a consistent answer wherever they write.
How do you keep it on brand?
Tone, topics to avoid, and escalation rules are written with you before launch. Editors can update source content without waiting on a full rebuild.
What about customer data and privacy?
We limit what the bot can see, redact sensitive fields where we can, and follow the access rules you already use for support tools. Conversation logs stay under your control.
Do you look after it after launch?
Yes. Unanswered questions, failed handoffs, and new products all need updates. A retainer covers reviews, knowledge refreshes, and prompt changes as your content moves. For broader workflow automation, see AI business automation.
Talk to us
A chatbot that sounds like your team
Tell us where customers get stuck — site chat, WhatsApp, or in-app — and what the bot must never guess. We’ll outline sources, handoff, and a first release you can review.