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Trained on your business, not the open web
AI Chatbot Development

Chatbots that finish the
conversation.

We build AI assistants trained on your product and knowledge base, wired into WhatsApp, Instagram, your website, Slack and your CRM — so customers get a resolved answer, not a queue number.

0sMedian first response time
0%Conversations resolved, no human
0+Channels connected per build
0/7Always answering, never off-shift
Sample conversation
// flare-assistant · retailLIVE
Resolved without a humanYes
Response time0.8s avg
// a real resolved conversation, replaying on loop
WhatsAppInstagram DMWebsite WidgetSlackMessengerShopifyZendeskHubSpotTelegram WhatsAppInstagram DMWebsite WidgetSlackMessengerShopifyZendeskHubSpotTelegram
What we train it on

Every chatbot ships knowing your business, not a generic script.

Understanding, channels, handoff and tuning aren't bolted together after the fact — they're one assistant, so a change to your knowledge base reaches every channel the same day.

// core.reasoning
Do you ship internationally?
F
Yes — to 40+ countries, 3–7 business days.

Conversational AI Core

Intent detection and context memory that follows a conversation across turns, not just single-shot Q&A.

// channels.sync
Can I message you on Instagram instead?
F
Same assistant, same memory — DM us anytime.

Omnichannel Deployment

One assistant, wired into WhatsApp, Instagram DM, your website, Slack and Messenger from a single build.

// handoff.escalate
This needs a real person.
F
Fair — looping in support with your full transcript.

CRM & Ticketing Handoff

When the bot hits its limit, it escalates with full context — no customer repeating themselves to a human.

// knowledge.train
What's your return policy?
F
30 days, unused, straight from your policy doc.

Custom Knowledge Training

Trained directly on your FAQs, product catalog and internal docs — answers come from your content, not the open web.

// locale.detect
¿Tienen envío a México?
F
Sí, 5–8 días hábiles a todo México.

Multilingual & Voice Notes

Replies in whatever language the customer typed in, and transcribes incoming WhatsApp voice notes automatically.

// analytics.loop
Where did the bot get confused this week?
F
Sizing questions — retrained on the new size chart.

Analytics & Continuous Tuning

A live dashboard flags where the bot struggles, so retraining targets real gaps instead of guesswork.

Where it lives

Deployed everywhere a customer already types to you.

Every channel below runs on the same assistant and the same memory — a conversation started on WhatsApp can finish on your website without starting over.

WhatsAppBusiness API
InstagramDM automation
WebsiteEmbedded widget
SlackInternal ops bot
MessengerFacebook Pages
ShopifyOrder lookups
ZendeskTicket handoff
HubSpotContact sync
Who it's built for

Trained differently for every kind of business.

The core engine is the same — the knowledge base, tone and escalation rules are built around your industry's real questions.

E-commerce

Order status, sizing, returns and product recommendations, synced to your catalog in real time.

Real Estate

Listing details, viewing bookings and lead qualification, handed to an agent the moment it's warm.

Healthcare

Appointment scheduling and general intake questions, with a hard stop and human handoff on anything clinical.

Education

Enrollment questions, course details and application status for prospective and current students.

SaaS & Tech

Feature questions, plan comparisons and first-line troubleshooting before a ticket ever opens.

Travel & Hospitality

Booking changes, itinerary questions and check-in details, answered at 2am same as 2pm.

How a build actually runs

Four messages, in the order every build follows.

This is the literal sequence — your scripts and edge cases get mapped before a single model prompt is written.

01

Discovery & Script Mapping

We sit with your support team, pull your top 50 real questions, and map the conversations the bot needs to handle on day one.

3–5 days
02

Knowledge Base Training

FAQs, product catalog, policy docs and past transcripts get fed in and structured so answers stay grounded in your content.

1–2 weeks
03

Channel Integration & Testing

WhatsApp, Instagram, website and CRM connected in parallel, then stress-tested against real customer phrasing, not sample scripts.

1–2 weeks
04

Launch & Continuous Tuning

Soft launch on one channel, dashboard live from day one, then a full rollout once containment holds steady under real volume.

Ongoing
The actual difference

What changes in the first 30 days.

This is the same support inbox, before Flare is trained and after — nothing else about the team changes.

// before

  • Customers wait hours for a first reply outside business hours
  • The same 10 questions get typed out by hand, every day
  • No record of what customers actually ask most
  • Support scales only by hiring more people
4.2 hrs
Average first response, nights & weekends

// after

  • Every message answered in under a second, any hour
  • Repeat questions handled automatically, every time
  • A dashboard shows exactly what customers ask most
  • Support scales with your traffic, not your headcount
0.8 sec
Average first response, any hour
What you actually get

A live conversation dashboard, not a chat log you read after the fact.

Every bot we ship comes with the same view we watch during launch week — containment, speed and channel load, all in one place.

Containment rate 30-day

0%

Conversations fully resolved by Flare, no human needed.

Avg first response live

0.0s
Across WhatsApp, Instagram and website widget.

Conversations today by channel

WhatsApp
1,240
Instagram
820
Website
990
Slack
310

"We used to lose weekend orders to slow replies. Now the bot handles sizing and shipping questions instantly, and our team only sees the conversations that actually need a person."

R
Retail Operations LeadDTC apparel brand, 40k+ monthly conversations
Why teams keep the bot on after launch

Numbers pulled from live conversations, not a pitch deck.

0
AI assistants shipped across industries
0
Percent of chats resolved with no human
0
Channels wired into a typical build
0
Hours a day it keeps answering
Build tiers

Pick a starting point — every tier scopes further after discovery.

Exact pricing depends on channels and how much of your knowledge base needs training. These are typical ranges to plan around.

Starter

One channel, one job done well
$2,500 one-time
  • One channel (website or WhatsApp)
  • Trained on your FAQs & policies
  • Human handoff included
  • Launch monitoring, 2 weeks
Book a Call
Most booked

Growth

Multi-channel, CRM-connected
$5,500 one-time
  • Up to 4 channels, one shared memory
  • CRM or helpdesk integration
  • Multilingual replies
  • Live analytics dashboard
  • Launch monitoring, 4 weeks
Book a Call

Scale

Full stack, ongoing tuning
Custom quoted after discovery
  • Every channel you run today
  • Voice note transcription
  • Weekly transcript review & retraining
  • Dedicated engineering contact
Book a Call
Thought Flare team reviewing live chatbot conversations on a dashboard
// same team reads every transcript
How we're different

The team that trained your bot reads its transcripts.

Most chatbot vendors hand you a widget and a dashboard, then disappear. Ours reviews real conversations weekly, flags where the bot got it wrong, and retrains — so the assistant gets sharper the longer it runs, not staler.

  • Trained on your content, not the open web
  • Weekly transcript review included
  • Clean handoff to a human when it matters
  • Built for your channels, not a generic widget
Common questions

Before you book a call.

Which AI model does the chatbot run on?
We're model-agnostic — we pick the model that fits your budget, latency needs and data residency requirements, and can switch underneath the same interface if a better option comes along.
What happens to our customer data?
Conversation data stays in infrastructure you control or approve, with retention and access rules set by you — we don't use your customers' conversations to train anyone else's model.
Can it integrate with our existing CRM or helpdesk?
Yes — Zendesk, HubSpot, Intercom and most ticketing systems are standard connectors. If you run something custom, we build a direct integration during the build phase.
What happens when the bot can't answer something?
It says so, hands off to a human with the full transcript attached, and we log the gap — those logged gaps are exactly what feed the weekly retraining pass.
Let's train your bot

Still typing "hang on, let me check" to customers at 2am?

Book a free build call — we'll walk through your top support questions and show you exactly what a trained assistant would say instead.