AI automation
Automate the delay between customer interest and meaningful action.
Alizane Labs designs practical AI workflows that answer common questions, collect useful context, route opportunities, coordinate schedules, and keep your team informed.
Explore an automation opportunityWhere it earns its place
- Respond to after-hours inquiries
- Qualify leads before a consultation
- Route requests by need, location, budget, or urgency
- Coordinate available appointment times
- Follow up when a form is incomplete
- Summarise conversations for staff
- Answer approved frequently asked questions
- Escalate complex or sensitive situations to a person
Interactive Workflow
How the autonomous dispatch engine responds in real-time.
Visitor
“Do you have emergency dispatch and same-day estimate booking?”
System
Configured workflowInbound Trigger
event.received { type: 'form_submission', source: 'nextjs_edge', priority: 'high' }
Illustrative trace of a production workflow. Actual business logic is tailored to your CRM and telephony rules.
What the work covers
A defined system, not a black box.
Workflow discovery
We map how inquiries arrive today, who touches them, where they stall, and which steps repeat without adding judgement.
Knowledge and response design
Approved answers, tone, and escalation language are written and reviewed before anything goes live.
Qualification logic
The few questions that genuinely change the recommendation, asked in a sequence that respects the visitor's time.
Lead routing
Rules based on need, location, urgency, or value decide who receives the opportunity and what context arrives with it.
Calendar booking
Real availability offered inside the conversation, with confirmation and reminders handled automatically.
Messaging workflows
Email, SMS, and WhatsApp sequences for confirmations, incomplete forms, and follow-up — with clear opt-out.
CRM and system integration
Records created and updated in the tools your team already uses, so nothing is re-entered by hand.
Human handoff
Designed in from the start: exceptions, high-value conversations, and sensitive topics reach a person with the full thread.
Logging and reporting
Visibility into what the system handled, what it escalated, and where the workflow needs adjustment.
Privacy and data handling
Documented data flows, retention, and access. Credentials stay server-side and out of client code.
Testing and monitoring
Scenario testing before launch, then monitoring so failures surface as alerts rather than silence.
Boundaries
What the system is not allowed to do.
No invented answers
The assistant works from approved material. Anything outside it becomes a handoff, not a guess.
No consequential promises
Pricing commitments, guarantees, and regulated advice stay with your team.
No hidden automation
People are told when they are interacting with an automated system, and how to reach a person.
Integration compatibility, data handling, and retention are confirmed per project before anything is connected to live systems.
Next step
Start with the step that costs your team the most time.
Describe how inquiries reach you today and what happens next. We will identify the workflow worth automating first and what it would take.