Test the agent like a serious buyer
Do not just listen to a demo. Challenge it. These tests prove scope control, Arabic quality, business discovery, compliance awareness and practical next steps.
This is not a video or mockup. It is a real-time AI voice agent. Try a banking, clinic, restaurant, support or government flow, then ask how Tawajud can build one on your own data, brand voice and systems.
Tell us the workflow. We can build a dummy app first, using sample data, so your team can test the idea before committing to a full build.
Instead of a long page, every major proof point now lives in one focused side-panel experience. Select a lane, review the evidence, then move to the next step.
Do not just listen to a demo. Challenge it. These tests prove scope control, Arabic quality, business discovery, compliance awareness and practical next steps.
Four clear groups show Tawajud's range without turning the page into a catalogue: customers, workflows, intelligence and governance.
Arabic-first agents for calls, chat, bookings, qualification, FAQs and human handoff.
Task agents that collect data, route requests, summarize cases and trigger next steps in your systems.
Extract from files, measure operations, detect patterns and turn work into decision-ready insight.
Controls, escalation, audit trails, risk evidence and policy-aware assistants from the first prototype.
The page is small, but the pattern is enterprise-ready: a branded AI agent, trained on the right knowledge, connected to the right systems, with handoff and controls around it.
Customers speak normally in Arabic or English. The agent handles interruptions, context and follow-up questions.
Menus, services, policies, forms, FAQs, documents and databases can become the agent's working knowledge.
CRM, WhatsApp, ticketing, calendars, dashboards, payment links and internal systems can sit behind the conversation.
Rate limits, audit trails, escalation, privacy controls and compliance-aware design matter from the first prototype.
Tawajud also builds chatbots, AI agents, document AI, automation, BI dashboards, computer vision and AI-powered GRC.
We start with a working dummy app on sample data so stakeholders can see value before a full project.
Every sector needs a different first win. Select one and see the dummy app Tawajud would build first.
A controlled assistant that explains services, routes customers, avoids sensitive credentials and escalates high-risk requests.
Try this scenarioThe same engine can become a different assistant for each industry. Explore a few examples from the main Tawajud site.
For serious organizations, the proof is not only the answer quality. It is how the agent handles data, risk, escalation and auditability.
Design conversations so the agent collects only what the workflow needs and avoids unnecessary personal data.
Plan access control, monitoring, third-party boundaries and resilient deployment from the prototype stage.
Never collect OTPs, passwords or full card data; route sensitive requests to approved channels.
Define when the agent should stop, summarize and transfer the case to a person.
Capture intent, outcome, handoff reason and quality signals for governance and improvement.
Keep the agent inside approved business knowledge and refuse unrelated or unsafe requests elegantly.
Answer five quick questions and the page recommends a first proof-of-value project.
Start with one customer-facing workflow, train it on approved knowledge, and test handoff before connecting production systems.
The agent is only one layer. The real value comes from connecting channels, knowledge, systems, people and measurement.
A practical path for teams that need results without unnecessary risk.
Pick one high-value workflow and define success, data and compliance constraints.
Build a working demo with sample data so your team can test and give feedback.
Connect real data, add handoff, integrations, analytics and operational controls.
Scale with security, governance, monitoring, training and ongoing support.
A Tawajud dummy app should prove value with operational signals, not hype.
Reduce manual waiting time for repeated questions while preserving escalation.
Let people handle complex, sensitive and high-value conversations.
Turn conversations into dashboards: topics, outcomes, handoffs and gaps.
Three proof views are enough to make the demo feel real: conversation, operations and governance.
Show what the customer asked, what the agent answered, why it escalated and where the lead went.
Turn PDFs, forms and conversations into structured data, dashboards and review queues.
Map controls, collect evidence, summarize requests and keep every AI action traceable.
Start with one working dummy app. Let your team test it, improve it, and only then decide what deserves real investment.