AI Chatbot Integration

Overview

What we deliver

We design, train, and integrate AI chatbots that handle support, lead capture, and product questions across your digital channels.

We build AI chatbots that handle common questions, qualify leads, and route complex issues to human teams. Our work starts with a clear scope: which intents to support, which systems to connect, and how the bot should sound. We train models on your knowledge base, product catalog, and support tickets, then test responses against real user queries. Integration covers your website, app, or messaging platforms, with secure handoffs to CRM, ticketing, and order systems. We tune prompts, guardrails, and fallback flows so the bot stays accurate and on-brand. After launch, we review transcripts, fix gaps, and expand coverage as usage grows. The goal is a chatbot that reduces ticket volume, captures qualified leads, and gives users fast answers without forcing them to wait for a human agent.

Fit Check

Built for teams like yours

Who it's for

SaaS companies with high support volume
Ecommerce brands handling product questions
B2B firms qualifying inbound leads
Service businesses managing bookings
Enterprises automating internal helpdesks

Pain points we solve

Support tickets piling up after hours
Slow lead response on website forms
Repetitive questions tying up agents
Visitors leaving without finding answers
Disconnected chat tools and CRM data

What's included

Capabilities

Everything we cover in this engagement.

Intent and use case discovery
Knowledge base ingestion and training
LLM prompt engineering and guardrails
Custom UI and widget development
CRM and helpdesk integration
Multi-language conversation support
Human handoff and escalation flows
Analytics dashboards and transcript review

How we work

Our process

A clear, predictable path from kickoff to outcomes.

01

Discovery

We map use cases, channels, and target conversations.

02

Design

We draft dialog flows, tone guidelines, and fallback paths.

03

Build

We train the model, build the UI, and connect systems.

04

Test

We run scripted and live tests, then tune responses.

05

Launch and improve

We deploy, monitor transcripts, and expand coverage.

What you get

Deliverables & outcomes

What you get

Trained chatbot ready for production
Chat widget and UI components
CRM and helpdesk integrations
Admin console for content updates
Conversation analytics dashboard
Documentation and training guide

Outcomes you can expect

Faster response times for users
Lower ticket volume for support teams
More qualified leads captured
Higher self-service resolution rates
Clear visibility into user questions

Timeline

6 to 10 weeks

Engagement

Monthly retainer, Project, Sprint

Tools we use

OpenAI, Anthropic Claude, Dialogflow, Rasa, LangChain

KPIs we track

Containment rate, CSAT, average response time, lead conversion, deflection rate

Client stories

What clients say

"

Two weeks before our seed round we still did not have a defensible model. Their fractional CFO rebuilt our three-statement forecast, pressure-tested the assumptions, and walked me through every line before the partner meeting. We closed 1.4M on the terms we wanted. The investor specifically called out how clean the financials looked compared to the last five decks she had seen.

Hannah B.

"

We had 14 cornerstone pages stuck on page two for 18 months. Their SEO crew rewrote the internal linking, cleaned up our schema, and shipped 22 supporting briefs over a quarter. Eight of those pages broke top three by month five. Organic pipeline went from a trickle to our second-largest source. Felt like watching interest compound.

James T.

Proof