01
RAG with citations + refusal
Hybrid retrieval (dense embeddings + BM25) over your private corpus. Every answer carries inline citations; the refusal layer says 'I don't know' instead of hallucinating when the context isn't there.
Product · AI Chatbot Platform
AI chatbot platform that actually holds a conversation.
AI chatbot platform with RAG citations, multi-turn memory & WhatsApp/SMS/Slack/Teams deploy. 68% L1 deflection, <2s replies. Ship in 2 weeks.
chatbot.session · webkb: 412 docs
user> what's your return policy on opened items?
tool> search(returns_policy, opened)
claude> Opened items: full refund within 14 days if defective.
Cite: returns-v3.md §4.2▍
Cite: returns-v3.md §4.2▍
conf 0.93 · tools: 11.1s
Overview
Most "AI chatbot software" on the market is either a thin LLM wrapper that hallucinates over your knowledge base, or a 2018-era decision-tree builder with an "AI" sticker on the box. Buyers who've tried both end up looking for the third option: a chatbot platform with conversational quality and production rigour. That is what we built. Hybrid retrieval (dense embeddings + BM25) grounds every answer in your private corpus. An evaluation harness blocks any prompt change that regresses hallucination rate. Channel-native UX ships to web, WhatsApp, SMS, Slack, and Teams from a single configuration.
The reference deployment — a 2M-subscriber telco running 110k SMS conversations per week — sustained 68% L1 ticket deflection over 9 months at 4.6/5 CSAT, beating the human-only baseline. The platform is HIPAA-ready for self-hosted and dedicated cloud deployments (BAA available), and the entire stack — vector store, orchestration, eval harness, admin UI — ships as a Helm chart for teams that need to run it inside their own VPC. Time-to-first-deploy is two weeks for a knowledge-base bot, six weeks for an agentic build with CRM tools and human handoff workflows.
- deflection on L1 tickets in production (Twilio SMS case study)68%
- median response time across web and messaging channels<2s
- average CSAT across 11,400 patient appointments booked4.6 / 5
Quick definition
What is an AI chatbot platform?
An AI chatbot platform is software that lets a business design, deploy, monitor, and improve a conversational AI agent across multiple channels. Modern platforms combine large language models — Claude, GPT-4o, Llama 3 — with retrieval-augmented generation, tool calling, memory, guardrails, and evaluation — replacing the rigid intent-and-entity bots of the 2018 era.
Features
What's in the box.
02
Multi-turn memory + summarisation
Per-user and per-conversation memory with rolling summarisation — turn 17 still remembers turn 2. Tested at 91% accuracy on 4–6 turn clinical intake flows vs 58% baseline.
03
Multi-channel deploy from one config
Web widget, WhatsApp Business, SMS via Twilio, Slack, Microsoft Teams, and a REST API for custom UIs. Channel-specific UX rules baked in (shorter for WhatsApp, adaptive cards for Teams).
04
Typed tool calling
Book appointments (Cal.com), check order status (Shopify), raise tickets (Zendesk), fetch invoices (Stripe), write to HubSpot. Each tool is typed, versioned, and sandbox-tested before production.
05
Configurable human handoff
Escalate by sentiment, intent, low confidence, or explicit request. Median handoff latency under 2 seconds with full conversation context attached to the agent's ticket.
06
Eval harness that gates every change
Every prompt or model swap re-runs against 200+ golden conversations and is blocked if hallucination rate, citation accuracy, refusal correctness, or tool-call success regresses.
How it works
From knowledge base to live conversation.
- 01
Connect your knowledge
Point us at Notion, Confluence, Google Drive, Zendesk Guide, or raw PDFs. We chunk, embed, and version it — with hybrid retrieval out of the box.
- 02
Configure behaviour
Pick a model (Claude, GPT-4o, or self-hosted Llama 3), set guardrails, define refusal triggers, and write a system prompt — or use a template.
- 03
Wire your tools
Add the actions the bot can take. Each tool gets a typed schema and a sandboxed test before it goes live in a real conversation.
- 04
Ship and measure
Deploy to channels. The eval suite gates every prompt change. Conversation analytics show deflection, CSAT, and handoff rates in real time.
Modules
Turn on only what you need.
Web Widget
WhatsApp
SMS / Twilio
Slack & Teams
Knowledge Connectors
Tool Hub
Eval Harness
Compare
AI Chatbot Platform vs the alternatives.
Capability-by-capability, against the products buyers compare us with.
| Capability | Aiinfox | Intercom Fin | Ada | Voiceflow |
|---|---|---|---|---|
| RAG with citations | Hybrid (BM25 + vectors) | Yes | Partial | Manual |
| Self-host / on-prem | Yes (Helm chart) | No | No | No |
| Eval harness gating prompts | Yes | No | No | No |
| Multi-turn memory + summarisation | Yes | Yes | Partial | Partial |
| WhatsApp + SMS + Slack + Teams | All four | Limited | Limited | Limited |
| Typed, versioned tool calling | Yes | Yes | Yes | Yes |
| HIPAA-ready deployment | Yes | Add-on | Add-on | No |
| Time to first deploy | 2 weeks | 4–6 weeks | 6–8 weeks | 2–3 weeks DIY |
| Pricing transparency | Tiered, published | Per-resolution | Quote only | Per-seat |
“
Deflection hit 68% on L1 tickets and CSAT actually went up. The handoff to humans is clean.
Head of Support
Telco, EU
FAQ
Questions before you buy.
How long does it take to deploy an AI chatbot platform?
Two weeks for a knowledge-base chatbot on one channel. Six weeks for an agentic chatbot with CRM tools, custom evals, and human handoff workflows. Pilots typically ship in 10 business days.
Which channels does the chatbot deploy to?
Web widget, WhatsApp Business, SMS via Twilio, Slack, Microsoft Teams, and a REST API for custom apps. One configuration ships to every channel — the bot adapts its UX per channel (shorter replies on WhatsApp, adaptive cards on Teams).
What languages does the AI chatbot support?
40+ languages out of the box via Claude, GPT-4o, and Llama 3. Voice adds Deepgram (STT) and ElevenLabs (TTS) in 29 languages. Translation quality is benchmarked against the FLORES-200 dataset.
How is your AI chatbot platform priced?
Three tiers. Starter from $1,200/mo covers one channel and one knowledge base. Growth from $3,800/mo adds multi-channel, eval harness, and CRM integration. Enterprise is custom — self-hosted, multi-region, HIPAA scope. Every tier includes a two-week pilot with a deflection guarantee.
Is the platform HIPAA compliant?
Yes for self-hosted and dedicated cloud deployments. We sign BAAs, support customer-managed encryption keys, and pin LLM inference to a region you choose. SOC 2 Type II is in progress.
Can we deploy the chatbot on-premise or in our VPC?
Yes. The full stack — vector store, orchestration, eval harness, admin UI — ships as a Helm chart for Kubernetes. Self-hosted Llama 3 is supported for zero-egress deployments.
How do you prevent hallucinations?
Four layers. Hybrid retrieval grounds answers in your corpus, a refusal layer rejects out-of-scope questions, citations are inline for auditability, and the eval harness blocks any prompt change that regresses hallucination rate against the golden set.
How does human handoff work?
Configurable triggers — sentiment, intent, explicit user request, low confidence — escalate to your team in Zendesk, Intercom, Freshdesk, or a Slack channel. Median handoff latency is under 2 seconds with full conversation context attached.
Which CRMs and tools does it integrate with?
Native connectors for HubSpot, Salesforce, Zendesk, Intercom, Freshdesk, Shopify, Stripe, Cal.com, Calendly, Notion, Confluence. Custom integrations via typed tool schemas — usually 1–2 days of work.
Can we fine-tune the model on our data?
RAG covers about 90% of use cases without fine-tuning. For the remaining 10% (tone, jargon, format), we offer LoRA fine-tuning on Llama 3. Most teams don't need it.
What is the typical ROI and payback period?
Median payback is 4.2 months across our customer base. The Twilio SMS deployment paid back in 11 weeks at 68% L1 deflection. Enterprise teams report 6–9 month payback depending on agent salary baseline.
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Try it
See it on your data.
Book a 30-minute walkthrough. We'll show ai chatbot on your workflows, with your real numbers.
Book a demo
info@aiinfox.com