Built from real service-business operations
The workflow is shaped by live repair-service intake: customers asking for urgent help, owners driving between jobs, and paid leads scattered across channels.
Bazas gives service businesses an AI receptionist and dispatcher that answers calls, texts, Yelp, Thumbtack, and email — then qualifies the job, books appointments, follows up, and keeps every customer detail in one system.
Prefer async? Request early access:
Demo first. We confirm fit before onboarding.
Need plumber ASAP, kitchen leak
Water heater quote?
Can you come tomorrow?
Encrypted
TLS in transit + AES at rest
Data isolated
Per-organization isolation
No data sales
We never sell your data
Founder demos verify the actual channels, calendar flow, and owner-approval rules before customer-facing automation is enabled.
What happens in the founder demo
The first goal is to confirm where money is leaking before any customer-facing automation goes live.
See the founder demo agendaCalls, SMS, Yelp, Thumbtack, email, website forms, calendar, and who answers today.
Where paid leads wait too long, lack details, miss follow-up, or need owner review.
What AI may draft, book, route, or pause before any customer-facing automation goes live.
The problem
speed-to-lead matters*
Calls arrive while you are driving, working, or asleep. By the time you check, the customer may already be booked with someone else.
calls, texts, marketplaces, email
Yelp, Thumbtack, SMS, email, and voicemail all tell part of the story. The team loses source, urgency, address, and job details.
busy days break manual reminders
A customer asks for tomorrow, then stops replying. Without a safe follow-up loop, that paid lead quietly disappears.
* Lead response research consistently shows faster replies improve contact and booking rates.
Bazas focuses first on the revenue leak: missed paid leads, scattered context, and inconsistent follow-up.
How it works
Map calls, SMS, email, Yelp, Thumbtack, website chat, and your calendar during founder-led setup.
Bazas configures service boundaries, required job details, calendar logic, and human takeover before customer-facing automation goes live.
Replies, call transcripts, appointments, follow-ups, customer history, receipts, mileage, and exports stay tied to the same record.
Trust proof
Bazas connects the front-desk response loop to the business memory behind it: customer history, calendar context, job notes, follow-ups, and operator control. The proof layer is workflow-based because early customers need confidence before customer-facing automation goes live.
The workflow is shaped by live repair-service intake: customers asking for urgent help, owners driving between jobs, and paid leads scattered across channels.
Instead of invented logos or ratings, Bazas shows the actual operating loop: capture the lead, collect required details, route review, book safely, and preserve context.
AI can assist replies and follow-ups, but the operator can step in, edit, pause, or override workflow decisions when judgment matters.
Operational workflow proof
Call, SMS, Yelp, Thumbtack, or email lead arrives
AI receptionist answers and captures the job details
AI dispatcher qualifies, checks context, and routes booking
Bazas saves the conversation, appointment, follow-up, and customer history
No inflated guarantees. Claims stay tied to product workflow, human control, and founder-led onboarding.
Product
AI Receptionist + Dispatcher
Need plumber ASAP, kitchen leak
Water heater quote?
Can you come tomorrow?
Business Memory
Provider-Agnostic Platform
Accounting exports
Finance handoff
Google Calendar
Job scheduling
Twilio SMS
Reviewed replies
Voice AI
Call capture
GPS Mileage
Auto-track
Accountant export
Review-ready
AI Intelligence
Not a persona brand. Not a single voice vendor. Bazas keeps provider-agnostic AI connected to your real services, policies, calendar, and customer history.
AI Receptionist / Dispatcher
Voice AI — provider adapter
AI Knowledge Base (RAG)
Weekly AI Insights
Platform
From solo handyman to 100-person franchise. One platform that grows with you.
AI can draft a follow-up and schedule a next step after your rules are configured. You see pending messages with a countdown timer. Edit or cancel before they send.
Lead review, scheduled-message control, and operator handoff are designed for field teams. App-store availability stays behind release readiness.
Run multiple businesses from one dashboard. Fully isolated data, custom branding, role-based access. Built for agencies and franchises.
Embed an AI-powered chat widget on your site. Same knowledge base, same operating rules. Capture website leads and route them into the CRM for review or follow-up.
AI detects the customer's language and responds in English, Spanish, or Russian. Auto-detection — no manual setup needed.
When you reply manually, AI can pause according to configured takeover rules. No conflicting messages. No confusion. You stay in control.
AI Safety
AI is powerful — but your reputation matters more. That's why every AI action has guardrails.
Every AI reply shows a preview. Edit, approve, or reject before it reaches your customer.
AI only collects contact info — no pricing, no commitments. You decide when AI can go further.
Override any reply or classification. The Knowledge Base updates — AI gets smarter, not repetitive.
Reply manually and AI pauses for 24 hours. No conflicting messages. No confused customers.
Customer asks for a price the AI isn't sure about → AI responds: “I'd love to help! Let me have our technician review your request and get back to you with an exact quote. What's a good number to reach you?” — collects info, doesn't guess.
Why Bazas exists
“I spent years answering Yelp messages from my truck, losing Home Depot receipts, and panicking at tax time. I built Bazas because no CRM was made for people like us — people who work with their hands, not behind a desk.”
Nikita
Founder & Builder — 10+ years in the field
Founder-led onboarding
Human takeover rules
Calls, leads, and context
No customer data sales
How we compare
Jobber
Fit: Established FSM suite
AI: Add-on / evolving
Setup: Self-serve or assisted
HouseCall Pro
Fit: Established FSM suite
AI: Add-on / evolving
Setup: Self-serve or assisted
Bazas AI
Fit: AI-native lead response
AI: Core workflow layer
Setup: Founder-led beta
Positioning summary only. Use the detailed comparison pages for current caveats and fit guidance.
FAQ
Book a founder demo to map your lead sources, review AI safety rules, and see the exact workflow before anything customer-facing goes live.
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