AI systems for real business operations
Meet Tina designs AI chatbots, intelligent assistants, and automation systems that connect customer conversations to the tools, workflows, and outcomes that run your business.
Custom-built. Integrated. Measurable. Production-ready.
Tina Core
Think. Act. Record.
Tina Intelligence Core diagram showing messages entering from channels, passing through intelligence layers, and producing business outcomes.
Services
Tina can be designed as a customer-facing assistant, internal operator, workflow engine, or connected AI layer across channels and systems.
Conversational front doors
Build assistants that answer, route, collect, and act with the context of your business behind every reply.
View serviceMessaging that performs work
Turn WhatsApp into an intelligent business channel for qualification, support, scheduling, and follow-up.
View serviceQualified conversations
Guide prospects from first question to qualified opportunity with structured discovery and CRM-ready context.
View serviceSupport with controls
Resolve repetitive requests, collect context for complex issues, and route customers with cleaner support data.
View serviceScheduling without chaos
Let customers request availability, share preferences, and complete bookings while your calendars stay synchronized.
View serviceSpeech into structured work
Capture calls, transcribe conversations, extract decisions, and turn spoken interactions into usable operations data.
View serviceFrom message to action
Connect AI decisions to the systems that create tickets, update records, notify teams, and complete repeatable steps.
View serviceAI built around your operation
Design multi-agent systems, evaluation pipelines, analytics, and backend-integrated AI software for specific workflows.
View serviceSee Tina Think
This example shows a consultation booking request moving through context, knowledge, tool use, confirmation, and analytics without turning the page into a slow scroll trick.
Example scenario
Customer
Can I book a consultation for Wednesday afternoon?
Stage 1
The request enters through WhatsApp with customer language intact.
Stage 2
Intent, timing, service type, and known context are separated into usable signals.
Stage 3
Approved knowledge and business rules decide what Tina can say or ask next.
Stage 4
A calendar, CRM, or workflow endpoint is called only after required fields are present.
Stage 5
The selected action is executed with validation and error handling.
Stage 6
The customer receives a clear confirmation or next question.
Stage 7
Outcome, stage, and quality data are recorded for reporting and improvement.
Interactive preview
Select a scenario to see how Tina can ask, decide, call tools, and confirm results. Use the WhatsApp link in the footer to test the chatbot directly.
Scenario
Tina preview
Guided interaction
Solutions by objective
Meet Tina focuses on the jobs conversations need to complete: qualification, booking, support, collection, routing, reporting, and internal coordination.
Designed around policies, systems, and metrics your team can inspect after launch.
Designed around policies, systems, and metrics your team can inspect after launch.
Designed around policies, systems, and metrics your team can inspect after launch.
Designed around policies, systems, and metrics your team can inspect after launch.
Designed around policies, systems, and metrics your team can inspect after launch.
Designed around policies, systems, and metrics your team can inspect after launch.
Designed around policies, systems, and metrics your team can inspect after launch.
Designed around policies, systems, and metrics your team can inspect after launch.
Integrations
Tina can connect messaging channels, automation tools, business platforms, data stores, retrieval systems, and speech providers without relying on copied third-party logos.
Meet Tina
Connected AI layer
Architecture and reliability
Reliable AI systems combine probabilistic language understanding with deterministic rules, integrations, validation, monitoring, and human-defined policies.
Industries
Tina can be configured around your organization's policies and compliance requirements, with escalation paths for sensitive or regulated decisions.
Process
Each system is designed around business rules, connected tools, measurable outcomes, and controlled improvement after release.
We map your conversations, operational rules, customer journeys, systems, and business goals.
We define Tina's capabilities, behavior, tools, escalation rules, knowledge, and success criteria.
We connect the assistant to the systems required to complete actual work.
We evaluate accuracy, edge cases, customer experience, tool behavior, and failure handling.
We deploy with monitoring, analytics, and controlled release practices.
We use conversation data and evaluation results to continuously improve performance.
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
Founder
Meet Tina was founded by Ali Awdeh, an AI and backend software engineer focused on practical automation, conversational AI, backend integrations, and production-grade intelligent systems. His work combines product thinking, software engineering, AI orchestration, analytics, and operational design to transform manual business processes into measurable AI-assisted workflows.
Next step
Tell us what your customers ask, what your team repeats, and what your systems need to do. We'll design the intelligence connecting them.
Tina Core
Think. Act. Record.
Tina Intelligence Core diagram showing messages entering from channels, passing through intelligence layers, and producing business outcomes.
