AI Chatbots That Feed Your CRM
We build AI chatbot workflows that qualify website visitors, capture clean lead data, summarize conversations, route inquiries to the right person, and trigger follow-up tasks. The chatbot is not the strategy. The CRM handoff is.
This is a CRM service with an AI interface.
A chatbot that answers questions but does not create clean follow-up is just another inbox. We design the chatbot around your CRM data model, lead routing rules, owner assignment, and reporting. That is what makes the automation useful.
What We Build
Most chatbot projects fail because they focus on the widget. We focus on the workflow behind it.
Website AI chat assistant
A visitor-facing assistant that answers common questions, collects context, and guides people toward the right next step without pretending to replace your team.
Lead qualification flow
Structured questions for service interest, urgency, location, budget range, timeline, existing system, and preferred contact method.
CRM record creation
Create or update contacts in HubSpot, Salesforce, Zoho, or another CRM with clean properties, source tracking, and conversation summaries.
Routing and follow-up tasks
Assign the right owner, create next-step tasks, route high-intent inquiries faster, and keep lower-intent leads visible for nurture.
AI conversation summaries
Summarize what the visitor asked, what they need, and why they may be qualified so follow-up feels informed instead of generic.
Guardrails and review
Keep risky fields controlled, avoid sensitive advice, and document the workflow so the chatbot supports the sales process safely.
Implementation Sequence
We keep the first build focused so the chatbot becomes useful quickly instead of turning into a science project.
Map the website pages, visitor questions, lead sources, and handoff points
Define what qualified means for each service, segment, or location
Design the chatbot conversation flow and fallback paths
Map chatbot answers to CRM properties, notes, owners, stages, and follow-up tasks
Build the chatbot, CRM integration, notification flow, and reporting view
Test real scenarios before launch: qualified, not ready, spam, support, and no-fit inquiries
Launch with human review and tune questions, summaries, routing, and reporting
Best Fit
This is most useful when your website already creates conversations, but follow-up is inconsistent or too manual.
Service businesses that miss website inquiries after hours
Teams getting repeated pre-sales questions before calls
Businesses that need cleaner lead qualification before booking
Property management, real estate, immigration, professional services, and B2B service companies
Teams using HubSpot, Salesforce, Zoho, or Google Sheets as a starting CRM layer
Companies that want AI automation but still need human review before sensitive follow-up
Timeline and Investment
Chatbot projects are scoped around the workflow complexity, CRM platform, and number of routing paths.
2 to 4 Weeks
A focused chatbot and CRM handoff can usually launch in 2 to 4 weeks. More complex routing, multi-language flows, or multiple CRM pipelines may take longer.
From $1,500 CAD
Simple chatbot-to-CRM flows start at $1,500. More advanced builds with multiple workflows, custom integrations, and reporting are scoped after discovery.
Frequently Asked Questions
Yes. The safer pattern is to capture controlled fields, create or update the contact, attach a short conversation summary, assign an owner, and create a follow-up task. We avoid letting AI write uncontrolled values into critical CRM fields.
No. For most service businesses, the chatbot should qualify and route the lead, not close the deal. The goal is faster response, cleaner context, and better follow-up for your team.
It helps. If your site has very little traffic, stronger service pages, CTAs, forms, and CRM routing may come first. We will tell you if a chatbot is not the right first move.
Yes. Depending on your stack, the chatbot can trigger booking flows, owner notifications, Gmail or Outlook draft workflows, HubSpot tasks, Salesforce tasks, n8n workflows, and reporting updates.
It can be, but the scope needs guardrails. For mortgage, immigration, legal, finance, and healthcare-adjacent businesses, the chatbot should collect context, route inquiries, and avoid giving sensitive advice.
Related Services and Resources
AI Chatbot CRM Guide
Why chatbot conversations need CRM routing and follow-up
Lead Capture Websites
The website layer your chatbot should support
CRM Integration
Connect chatbot, CRM, email, forms, and reporting
AI Revenue Operations Case Study
How AI-assisted growth systems can stay human-reviewed
Website Leads to CRM Case Study
How lead capture becomes actionable CRM follow-up
Lead Follow-Up Audit
Review one inquiry path before building automation