AI Customer Service Platform UAE

Control Shift develops AI Customer Service Platform UAE solutions for helpdesk and contact-centre teams. Create an AI helpdesk with conversation history, ticket classification, knowledge retrieval and agent handover. An omnichannel assistant should preserve the original question and the actions already attempted.

Build, integrate and automate

AI Customer Service Platform UAE

Control Shift scopes AI software for helpdesk and contact-centre teams. A customer repeats the same issue on chat and phone while separate teams see incomplete histories. Routing and knowledge gaps delay resolution more than a slow first reply.

Discuss this AI workflow

Build the right AI workspace

Create an AI helpdesk with conversation history, ticket classification, knowledge retrieval and agent handover. An omnichannel assistant should preserve the original question and the actions already attempted.

Integrate with your existing systems

Connect approved support channels, ticket records, order lookups and a maintained knowledge base. Identity checks must precede account-specific answers.

An automation your team can supervise

Trigger: A support request arrives with an order reference.
Agent task: Classify the issue, retrieve permitted order status and draft an answer grounded in current policy.
System update: A ticket with the answer draft, source references and escalation reason.
Human approval: A support agent handles refunds, disputes, account changes and unsupported questions.

Example workflow, from request to reviewed record

Illustrative project scope; not a claim of an existing customer deployment.

A support request arrives with an order reference.
Classify the issue, retrieve permitted order status and draft an answer grounded in current policy.
A support agent handles refunds, disputes, account changes and unsupported questions.
Save the approved result: A ticket with the answer draft, source references and escalation reason. Keep its source, reviewer and action history available for follow-up.

Architecture and access boundaries

A language model prepares drafts from permitted context. Where document knowledge is needed, retrieval brings in approved sources with references. Restricted API tools handle only explicitly allowed actions. Validation, permissions and approval rules operate outside the model. If data is missing or a tool fails, preserve the draft and route it to a person.

Controls specific to this workflow

If policy sources conflict or identity cannot be established, hand over rather than guess. Redact sensitive account fields from logs and model inputs.

Agree data minimisation, access, retention and audit logging during discovery. Hosting and provider terms are confirmed for the project before sensitive data is processed.

A focused, affordable first release

Map one workflow with the people who operate it. Review sample inputs, prototype the draft and approval steps, connect the required interfaces, and agree acceptance examples. Launch to a limited user group with a manual fallback. Monitor corrections, unresolved requests and operating costs before expanding.

The proposal depends on interface access, data cleanup, language coverage and approval complexity. Share your current systems and an anonymised example of the task to define an affordable first phase.

Questions about this AI scope

Can voice and WhatsApp requests reach the same helpdesk?

They can share a ticket workflow when channel access and identity matching are available. Discovery must confirm those interfaces and how duplicate conversations will be handled.

Can this connect to our current systems?

Connect approved support channels, ticket records, order lookups and a maintained knowledge base. Identity checks must precede account-specific answers.

Which actions stay under human control?

A support agent handles refunds, disputes, account changes and unsupported questions. If policy sources conflict or identity cannot be established, hand over rather than guess. Redact sensitive account fields from logs and model inputs.

Can the workflow support Arabic and English?

Both languages can be included in the project scope. Evaluate representative messages and documents with bilingual reviewers, agree terminology and provide clarification or handover when meaning is uncertain.

What affects scope and delivery time?

Data quality, available interfaces, permission rules, document or message variety and approval complexity determine the work. Start with one workflow, agree acceptance examples and expand after a reviewed pilot. A tailored proposal covers implementation and ongoing operating requirements.

How do you handle sensitive information?

Agree permitted data sources, role-based access, retention and provider terms before development. Use restricted service accounts and audit records. Hosting and residency options require project-specific confirmation; no certification or blanket compliance promise is implied.

Start with your most time-consuming workflow

Share your current systems, sample inputs and the decisions that need human approval.

Discuss your AI project