Enquiry routing and sales follow-up
Bring website, email and messaging leads into a defined intake process. Classify intent, identify missing fields, assign the responsible team and draft the next message with a review option.
Control Shift / Business process automation
AI Automation Company in Dubai
Control Shift designs business process AI automation around the work between your systems: enquiries waiting for follow-up, documents waiting for entry and service requests waiting for an owner. We combine rules, AI assistance and connected software to move each task to a checked result.
For UAE businesses improving an existing operation across CRM, ERP, documents, email and customer channels.
From request to recorded result
Capture and register
A traceable intake record.
Extract and validate
Validated fields and an exception list.
Route the review
An approved draft with recorded corrections.
Post and reconcile
A confirmed target record or an assigned recovery task.
Illustrative build scope. Systems, actions and review points are agreed for your project.
Choose the right level of automation for each step
A fixed rule is useful when the input and decision are predictable. AI can help interpret variable messages or documents. An agent becomes useful when several authorised tools must work together. We map these choices before selecting the technology.
Document intake and validation
Extract supplier or customer details, compare them with required fields and route inconsistent records for correction. Keep a link to the original document through every handover.
Customer service workflows
Connect customer identification, knowledge retrieval, ticket creation and escalation. Staff receive the request context and steps already attempted rather than restarting the conversation.
Purchasing and operational approvals
Prepare request records and route them by project, entity or value threshold. Approval rules control commitments; automation records the outcome and follows up on overdue decisions.
Email and reporting workflows
Categorise permitted inbox traffic, prepare reply drafts and assemble reports from approved data views. Review recipients, reporting periods and totals before distribution.
Cross-system task orchestration
Connect systems through APIs, events or agreed file imports. Track each job, retry temporary failures within limits and route unresolved errors without silently dropping work.
From an incoming document to a reviewed ERP draft
Step 1
Capture and register
Receive a document through an approved mailbox or upload. Assign a unique job reference and retain the source so a repeated event can be recognised.
Result: A traceable intake record.
Step 2
Extract and validate
Use AI to propose structured fields. Apply deterministic checks for required references, totals, document type and a matching supplier or project.
Result: Validated fields and an exception list.
Step 3
Route the review
Send uncertain fields and missing references to the appropriate operator. Keep finance or procurement approval separate from extraction.
Result: An approved draft with recorded corrections.
Step 4
Post and reconcile
Create the permitted draft in the target system, verify its identifier and mark the job complete only after confirmation. Send failures to a recoverable queue.
Result: A confirmed target record or an assigned recovery task.
Illustrative scenario
A supplier quotation with a missing project reference
A UAE contractor receives a supplier quotation by email. The automation can prepare the record while keeping purchasing commitments with the procurement team.
This example describes a proposed workflow, not a customer result.
Incoming email
A supplier sends a PDF quotation with line items, quantities and a delivery date, but no project code.
Extraction and checks
Capture the proposed fields, retain page references and check the supplier against the approved list. Mark the project reference as missing.
Procurement review
The buyer confirms the project and corrects an extracted unit. The system records both changes; it does not issue a purchase order.
ERP update
Create the reviewed quotation draft and store the returned ERP identifier. If the API times out, check for an existing draft before retrying.
Recorded outcome: A quotation draft linked to its email, source document, reviewer and target record, with no automatic purchasing commitment.
How the system fits together
Intelligent automation needs a reliable process around the AI step. A workflow engine controls state and handovers; AI handles selected interpretation tasks; connected systems remain the authoritative records.
Events and intake
Approved webhooks, scheduled imports and monitored inboxes create jobs with source references and duplicate checks.
Rules and AI tasks
Use fixed rules for thresholds and routing. Use an evaluated model for document extraction, message classification or drafting where inputs vary.
Workflow state
Record pending, under-review, approved, failed and completed states. Each transition has a permitted actor and a recovery path.
System connectors
Restricted APIs and validated data mappings connect source and target systems. Timeouts and retry behaviour are explicit.
Review workspace
Show source evidence, proposed changes and validation failures together. Save the reviewer decision and reason for later inspection.
Operational monitoring
Track queue age, completion, rework, failed connections and running cost. Alerts go to the team responsible for restoring the process.
Connect the systems your team uses
We scope each connection against your available APIs, licences, permissions and data quality. The proposal identifies what can be read, what can be changed and who approves each action.
CRM workflow automation
Connect lead intake, owner assignment, follow-up tasks and reviewed customer updates.
ERP and procurement
Connect document queues, purchasing requests and approved operational records.
Document processing
Capture structured fields from varied files with evidence and exception handling.
Email, workspace and internal APIs
Scope mailbox permissions, collaboration notifications and interfaces to your existing applications.
WhatsApp customer workflows
Convert permitted messaging events into owned tasks and customer-service records.
Knowledge and model integration
Add retrieval or language-model assistance where an individual process step needs it.
Define access, exceptions and accountability
Separate interpretation from approval
AI may propose fields or a classification. Business rules and authorised people decide whether the next action can proceed.
Recover without duplicate work
Give jobs stable identifiers, record external responses and check target state before retrying uncertain writes.
Protect records across departments
Limit access by role, entity and project. Mask unnecessary data in logs and agree document retention with the process owner.
Keep a manual operating path
Provide a queue for failed or ambiguous tasks and a way to pause automation. Define who clears exceptions and how their corrections feed future testing.
Practical applications for Dubai and UAE teams
Choose the workflow around your records, customer languages and operating rules. These examples show where a tailored build can support the people doing the work.
Contractors and fit-out teams
Project-coded quotation intake, purchasing approvals and site-document handovers.
Logistics operators
Shipment document checks, status enquiries and exception queues for dispatch teams.
Brokerages and property teams
Enquiry routing, viewing follow-up and maintenance request intake across customer channels.
Clinic administration
Appointment requests and administrative document routing, with clinical decisions retained by staff.
Manufacturers
Supplier records, quality-document intake and maintenance task preparation with supervisor review.
Retail and ecommerce
Order-status requests, returns intake and catalogue maintenance linked to current records.
From discovery to a monitored release
01
Map the current process
Interview the process owner, trace sample cases and record delays, exception volumes and manual effort. Identify a useful first workflow.
02
Design and prototype
Choose rule-based and AI steps, define field mappings and review queues, and test representative inputs before production connections.
03
Integrate and pilot
Test normal flow, permission failures, repeated events and interrupted writes. Run a limited release alongside the existing process.
04
Measure and extend
Compare cycle time, rework and unresolved cases with the baseline. Expand after the process owner accepts the results and operating responsibilities.
Workflow count, integration access, exception complexity, document variety and review screens drive implementation scope. The first phase should have an owner, a measurable outcome and a manual fallback. Model usage, hosting, third-party licences and support are scoped separately from the build.
Questions before you build
What is business process AI automation?
It combines software workflows with selected AI tasks such as classification, extraction or drafting. The full process also needs routing, validation, integrations, review and recovery so work reaches the intended business record.
How is AI automation different from an AI agent?
Automation defines how work moves from trigger to outcome. An AI agent may be one part of that process when interpreting a request and selecting tools is useful. Many steps are better implemented with fixed rules.
Can you automate our existing software without replacing it?
Often the first phase can connect existing systems through authorised APIs, events or agreed imports. We inspect available interfaces and limitations before proposing the integration.
Which workflow should we automate first?
Choose a recurring process with an accountable owner, accessible inputs and a measurable delay or rework problem. A narrow workflow with clear exceptions is easier to pilot than a department-wide replacement.
Can the system process Arabic and English documents?
Language coverage is part of the scope. Test real layouts, scans, terminology and mixed-language examples. Uncertain extraction needs a reviewer rather than an assumed accuracy guarantee.
What happens if an integration fails?
The workflow retains the job and its current state, records the error and retries only where safe. Unresolved failures go to a responsible operator with the information needed to recover.
How do you measure the return from automation?
Establish the existing cycle time, manual effort, error rate and exception volume. Compare the pilot against that baseline, including review effort and running cost. Savings are measured for your process rather than promised in advance.
Bring us one workflow worth improving
Share the task, the systems involved and an anonymised example. We can map the first release, its integrations, review steps and acceptance criteria with your team.
Your proposal can separate development, provider usage, hosting and ongoing support so you can assess the full operating scope.
Contact Control ShiftDiscuss your AI project
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