Skip to content
AI Assistants & Chatbots
Fully Automated

Website Chatbot

Reduce repetitive support and capture more qualified leads.

SourcesApproved answers
24/7Coverage
CRMLead handoff
What We Deliver

We build custom AI chatbots trained on your products, FAQs, and documentation. The assistant handles common visitor questions, qualifies leads against your criteria, and hands off with context when a person needs to step in.

We connect it to your CRM so conversations are logged.

First useful build

Start with a focused first build.

Send the workflow, the tools involved, and where the handoff breaks. We will map the smallest build that can prove value before you commit to a larger system.

What this includes

The useful parts of this build.

These are the pieces buyers usually need when the workflow has to run inside a real product, CRM, dashboard, or internal operation.

01

Answers grounded in approved pages, docs, and FAQs

02

Lead capture, qualification, and CRM handoff

03

Human takeover with transcript and page context

04

Fallback rules for pricing, policy, or uncertain answers

05

Dashboard showing unanswered questions and lead quality

Integration workflow

How this moves from audit to production.

The first version stays narrow enough to ship, but includes the architecture, integrations, model layer, review path, and observability needed by a real team.

01

Crawl approved site pages, pricing copy, product docs, and support articles into a versioned knowledge set.

02

Build a Next.js 15 chat widget with streaming responses, lead capture forms, and server-side conversation persistence.

03

Connect qualification events to HubSpot, Salesforce, or a custom CRM through Node.js webhook handlers.

04

Tune retrieval, prompt guardrails, blocked topics, and escalation rules against real visitor transcripts.

05

Launch analytics for unanswered questions, lead quality, source pages, and human handoff outcomes.

First-build markers
SourcesApproved answers
24/7Coverage
CRMLead handoff
Buyer questions

Questions before building this workflow.

Q1

How is the website chatbot grounded in our actual business content?

We index approved pages and documents, attach source metadata, and constrain the assistant to retrieval-backed answers with fallback paths when the answer is not in the content set.

Q2

Can the chatbot qualify leads before sending them to sales?

Yes. We define qualification fields, score answers in the conversation, sync the result through CRM webhooks, and pass the transcript plus page context to the sales team.

Q3

What prevents the assistant from inventing pricing or policy details?

We use answer boundaries, source-grounded prompts, blocked claims, transcript review, and escalation thresholds so uncertain questions route to a person instead of producing unsupported responses.

Send one workflow.

Send the workflow. We will show what to build first.