Chatbot Setup & Management

Overview

What we deliver

We design, build, and tune chatbots that handle routine inquiries and pass complex cases to human agents.

We build chatbots that take repetitive work off your support team and answer customers right away. Our team maps the questions you receive most often, drafts conversation scripts, builds intents and entities, and connects bots to your CRM, order systems, and knowledge base. We design clear handoffs to live agents so customers do not get stuck in loops. Bots can run on your website, app, WhatsApp, Messenger, or in voice channels. After launch, we monitor transcripts, fix gaps, retrain models, and expand the bot to cover more topics each month. We track containment rate, customer satisfaction, and the cost saved against staffed channels. We work in platforms like Dialogflow, Ada, Intercom Fin, and custom LLM stacks, choosing the right one for your use case rather than pushing a single tool. The goal is a bot that helps, not one that frustrates.

Fit Check

Built for teams like yours

Who it's for

Support teams drowning in repetitive questions
Ecommerce brands with order status volume
SaaS companies needing onboarding help
Banks and lenders handling FAQ traffic
Service businesses managing appointment booking

Pain points we solve

High volume of repetitive tickets
Long wait times for simple questions
Inconsistent answers across agents
Failed bot launches with low containment
No tracking on bot performance

What's included

Capabilities

Everything we cover in this engagement.

Use case discovery and scoping
Conversation design and scripting
Intent and entity modeling
Backend and CRM integration
Live agent handoff design
Transcript review and retraining
Bot performance reporting
Multi-channel deployment

How we work

Our process

A clear, predictable path from kickoff to outcomes.

01

Scope

Pick top use cases by volume and value.

02

Design

Draft scripts, intents, and handoff rules.

03

Build

Configure platform and connect data sources.

04

Launch

Roll out in pilot then expand channels.

05

Improve

Review transcripts and retrain weekly.

What you get

Deliverables & outcomes

What you get

Documented conversation flows
Configured bot platform
Integration with CRM and helpdesk
Handoff rules to live agents
Performance dashboard
Weekly tuning reports

Outcomes you can expect

Higher containment on routine questions
Lower cost per contact
Faster answers for customers
Fewer repeat tickets on the same topics
Cleaner data on customer intent

Timeline

4 to 8 weeks to first launch

Engagement

Monthly retainer, Project, Sprint

Tools we use

Dialogflow, Ada, Intercom Fin, Microsoft Bot Framework, Rasa

KPIs we track

Containment rate, deflection rate, CSAT, fallback rate, cost per contact

Client stories

What clients say

"

We had been prototyping an AI quoting agent for nine months and could not get it past demo quality. They came in, scoped a real eval set, swapped our retrieval layer, and added guardrails for the edge cases that kept burning us. Went live in seven weeks. It now handles 41 percent of inbound quote requests without a human touching them.

Kyle A.

"

Holiday season was about to break us. We needed 22 agents in six weeks and our internal hiring pipeline could not move that fast. They staffed it, trained on our tone guide, and ran nesting alongside our senior reps. CSAT actually went up by three points during peak. First Q4 in four years my support lead took her vacation.

Tom H.

Proof