Projects
Explore the kinds of assistants, evaluators, reservation flows, and multi-agent systems Meet Tina can build without fabricated customer claims or unsupported statistics.
Project patterns
These examples describe real build patterns without inventing customer names, testimonials, or unsupported performance numbers.
System example
Problem: Inbound conversations need consistent qualification before sales handoff.
System: A WhatsApp assistant that asks qualifying questions, summarizes fit, and updates CRM fields.
Integrations: WhatsApp provider, CRM, Calendar
Outcomes tracked: Lead quality, Response coverage, Booked consultations
System example
Problem: Customers request bookings across channels while staff checks availability manually.
System: A booking assistant connected to calendar rules, branch logic, and confirmation messaging.
Integrations: Google Calendar, Webhooks, Messaging
Outcomes tracked: Completed bookings, Reschedule rate, Escalation reasons
System example
Problem: Support teams spend time collecting the same details before a ticket can be resolved or routed.
System: An AI support assistant that answers approved questions, gathers diagnostics, opens tickets, and escalates exceptions.
Integrations: Ticketing system, Knowledge base, Order data
Outcomes tracked: Resolved request categories, Escalation reasons, Missing-information rate
System example
Problem: Teams need to understand whether conversations follow policy and resolve the right issues.
System: An evaluation pipeline that scores conversations against defined criteria and produces review queues.
Integrations: Transcripts, Analytics store, Dashboard
Outcomes tracked: Policy adherence, Resolution classification, Review volume
System example
Problem: Important call context often stays buried in recordings and does not reach CRM or operations workflows.
System: A voice intelligence pipeline that transcribes calls, separates speakers where supported, summarizes decisions, and extracts follow-ups.
Integrations: Speech provider, CRM, Analytics dashboard
Outcomes tracked: Follow-up capture, Topic classification, Review queue volume
System example
Problem: Internal teams repeat operational lookups and status updates across disconnected systems.
System: A controlled multi-agent assistant with role-specific tools, approvals, and audit logging.
Integrations: Internal APIs, Databases, Team notifications
Outcomes tracked: Workflow completion, Approval time, Exception rate
