Local context, production controls, and accountable delivery
An effective agent must understand the language, escalation rules, systems, and service expectations of the business. We design the operating model before choosing the automation.
Local context
Arabic, French, and English conversation flows aligned with Tangier sales and service teams.
Core use cases
Reception, qualification, support triage, scheduling, and routing to the right human owner.
Delivery model
Discovery, architecture, controlled rollout, and post-launch improvement under one accountable team.
What an AI agent changes operationally
Unlike a scripted chatbot, an AI agent can interpret intent, use approved tools, follow business rules, and carry context into the next operational step.
For a Tangier team, this can mean reading an incoming WhatsApp message, asking the right qualification questions, updating a CRM, and escalating to a person with a complete conversation history.
Autonomous execution
The agent follows a governed sequence of actions to complete a defined business task.
System integration
CRM, calendar, inventory, and reporting tools remain connected to the conversation.
Specialized agent types
The right agent depends on the workflow rather than the channel alone. We prioritize use cases with clear ownership and an observable operating result.
WhatsApp operations
Always-on multilingual reception, qualification, booking, and support workflows.
Lead operations
Structured qualification and routing with clean context passed to the sales team.
Customer support
Routine resolution with controlled escalation for cases requiring human judgment.
Custom operations agents
Purpose-built assistants for industrial, logistics, and service workflows.
The ARC delivery sequence
We diagnose the current workflow, define the conversation and integration architecture, deploy through controlled release gates, then monitor and improve the production system.
Diagnose
Map demand, bottlenecks, ownership, and the business outcome the agent must support.
Design
Define conversation logic, tool access, escalation, data handling, and quality controls.
Deploy
Release in stages, validate response quality, and align the human workflow around the agent.
Optimize
Review real interactions and improve routing, prompts, knowledge, and governance.