Knowledge base and training data preparation
Product docs, FAQs and policy content structured and reviewed so the bot answers from accurate, current information.
AI Chatbots
AI Chatbots for Lead Qualification & Support
We design and build conversational AI chatbots trained on your own product and policy information, integrated with your CRM so qualified conversations become tracked leads, not dead-end chat logs.
Generic chatbots that frustrate more than they help
Off-the-shelf chatbots configured with a handful of scripted flows tend to fail the moment a visitor asks anything slightly outside the script, damaging trust rather than building it.
- Bots that loop the same three answers regardless of what's actually asked
- No handoff to a human when the bot reaches its limit
- Chat transcripts that never reach the CRM as a tracked lead
- No visibility into what visitors are actually asking, so gaps never get fixed
- A bot trained on generic web content instead of your actual product and policy documents
Trained on your data, connected to your pipeline
We build chatbots on your product documentation, FAQs and policies, define clear escalation rules to a human agent, and integrate every qualified conversation into your CRM so no lead or support query disappears into a chat log.
What's included
Service components
Conversation flow and intent design
Flows mapped for the actual questions your visitors ask, based on support tickets and sales call themes, not a generic template.
Lead qualification logic
Qualifying questions built into the conversation so a chat ends in a scored, CRM-ready lead rather than an unstructured transcript.
Human escalation and handoff
Clear rules for when the bot hands off to a live agent, with full conversation context passed along.
CRM and helpdesk integration
Conversations and captured data pushed directly into your CRM or support platform, not left in a separate chat dashboard.
Monitoring and retraining
Regular review of unanswered or misrouted queries, used to retrain and expand the bot's knowledge base.
Process
How we deliver it
- Step 01
Scope and data collection
Define the bot's purpose — lead capture, support or both — and gather the source documentation it will be trained on.
- Step 02
Design flows
Map conversation paths, qualifying questions and escalation triggers.
- Step 03
Build and integrate
Configure the bot, connect it to your CRM or helpdesk, and test data flow end to end.
- Step 04
Pilot
Run live on a limited page or time window, reviewing transcripts closely for gaps.
- Step 05
Launch and refine
Full deployment with ongoing review of unanswered queries and conversion performance.
Outcomes
What you get out of it
24/7 lead capture
Qualifying conversations continue outside business hours instead of waiting for a form fill.
Reduced support ticket volume
Common, well-defined queries answered instantly without a human agent.
Leads that arrive pre-qualified
Sales receives structured data, not a raw transcript to interpret.
Visibility into visitor questions
Transcript analysis surfaces content and product gaps you didn't know existed.
Why D2S
Why teams choose us for this
- Bots trained on your actual product and policy content, not generic web data
- Clear human-escalation rules built in from day one
- Direct CRM and helpdesk integration, not a standalone chat dashboard
- Ongoing transcript review and retraining included, not a one-time setup
Industries
Sectors we work with
Ecommerce & D2CSaaS & TechnologyReal EstateBFSIHealthcare & ClinicsEducation
FAQ
Frequently asked questions
01What is an AI chatbot?
An AI chatbot is a conversational interface, typically built on a large language model, that understands and responds to visitor questions in natural language, trained on your specific product, policy or support content rather than answering generically.
02Will the chatbot give incorrect information?
We constrain the bot to your reviewed knowledge base and set clear escalation rules for anything outside it, and monitor transcripts to catch and correct any inaccurate responses quickly.
03Can the chatbot qualify and route leads automatically?
Yes — qualifying questions and scoring logic are built into the conversation flow, and qualified leads are pushed directly into your CRM with the relevant context.
04Does the chatbot replace our support team?
It handles common, well-defined queries and hands off anything more complex to a human agent with full conversation context, reducing volume rather than replacing the team.
05How long does it take to build one?
A focused lead-qualification or FAQ bot typically takes four to six weeks including knowledge base preparation, testing and CRM integration.
06Which platforms can the chatbot integrate with?
We integrate with common CRM and helpdesk platforms and can connect to custom systems via API where required.
Keep exploring
Related services
Scope your chatbot use case
We'll review your top support and sales queries and show you what a chatbot could realistically handle.