AI Automation Agency for Dubai's Repetitive Workflows
A request should not need three spreadsheets and a chain of messages to reach the right person. SolvTreeAI builds connected workflows for Dubai businesses, with clear inputs, reviewable outputs and a person responsible for exceptions.
Based in Mumbai. Serving the UAE.
Pick the handoff that keeps breaking
A shipment request is waiting for a missing document. A property enquiry has not reached sales. A supplier quote needs to be copied into a comparison sheet. The report is late because one person is still assembling it.
These are workflow problems. We start with one of them and define the trigger, the output and the checks in between.
The aim is not to make AI responsible for everything. It is to remove repetitive handling while keeping people in control of the decisions that matter.
Automation services: from request to next action
Document intake and missing-information checks
Extract useful fields from approved document sources and route incomplete submissions for review. A freight request, supplier quote or booking instruction should not progress just because a model produced a plausible answer.
Quote and estimate preparation
Retrieve approved data, assemble a draft and send it through the right approval path. Keep prices, terms and release authority in explicit rules rather than in a prompt alone.
CRM updates and follow-up tasks
Record the outcome of an enquiry, assign the next action and make overdue work visible. Customer-facing responses must stay within approved content and consent requirements.
Reports and operational exception queues
Produce the daily view of incomplete jobs, delayed approvals or records needing attention. Link an exception back to the source so the team can resolve it rather than copy it into another tracker.
A freight enquiry, worked through
This is an illustrative workflow, not a claim about a deployed Dubai client:
- A shipment enquiry arrives through an agreed channel.
- The system extracts the requested route, dates and shipment details.
- Missing or conflicting fields go to an operator rather than being guessed.
- Approved rate sources are used to prepare a draft.
- A person reviews pricing and terms before anything is sent.
- The job record and next-action status are updated.
The acceptance test is whether this sequence works on representative real requests, including failures. A smooth demonstration with one example is not enough.
How we build and release it
Map the current process
Agree the input sources, record owner, handoffs and required output. Measure handling effort or delay before changing the process.
Define the automation boundary
List what can run automatically and what needs a person: sending a quote, changing a price, modifying a booking or committing a payment. Include access controls and the minimum data required.
Test exceptions and repeated requests
Check duplicates, missing attachments, unavailable APIs and low-confidence extraction. A retry should not create another customer, order or outbound message.
Release with monitoring and a fallback
Name the person who will receive failed jobs. Agree what happens when the integration is unavailable and how work continues manually. Review the workflow after release against the original baseline.
Industries and suitable starting workflows
| Operation | Possible first workflow | Human decision to preserve |
|---|---|---|
| Freight/logistics | Enquiry intake and quote preparation | Rate, margin and release approval |
| Real estate | Enquiry routing and follow-up tasks | Commercial terms and sales commitments |
| Contracting | Estimate inputs and variation records | Scope and price approval |
| Distribution | Stock exception and reorder preparation | Purchase commitment |
| Hospitality | Guest request routing | Policy exceptions and sensitive responses |
| Travel | Itinerary inputs and booking follow-ups | Booking and cancellation approval |
These are candidate scopes. Access, data readiness and the operation's rules determine what is feasible.
Proof should show the workflow, not just the interface
Our ERP working-layer project describes estimates, job tracking and stock planning around an existing system. It is an anonymised portfolio example with sample dashboard data, not a Dubai reference or a promise of identical results.
Engagement and pricing
We scope a workflow against its inputs, integrations, rules, failure cases and acceptance tests. Data cleanup, third-party API access and ongoing model usage affect both cost and delivery.
The proposal should separate implementation from ongoing monitoring and change requests. Agree who operates the workflow and which provider charges your business will pay directly.
We do not publish a universal completion date. A single document workflow and a cross-system process with financial approvals are different builds.
Frequently asked questions
What can an AI automation agency automate for a Dubai business?
Candidate tasks include document intake, draft quotes, enquiry routing, CRM updates and reporting. Each workflow needs suitable integration access, reliable source data and a defined approval boundary.
Is every step powered by AI?
No. AI can interpret language or documents, while ordinary software rules handle validation, routing and permitted actions. We use the simpler method where it is sufficient.
Can you connect WhatsApp, email and our CRM?
That depends on the approved APIs, account permissions and the workflow. WhatsApp automation may require appropriate business-platform access and approved messaging arrangements. Confirm access before committing to scope.
Will quotes or customer messages be sent automatically?
Only if that behaviour is explicitly agreed and permitted. A first scope can prepare a draft for human review. Sending authority, approved content and escalation rules must be defined before release.
What happens when an automation fails?
The scope should include failure logging, an alert owner and a manual fallback. Retries need duplicate protection. A production workflow needs an operating plan, not just a successful build demonstration.
Can you prove a return before we expand?
We can agree a baseline and review the first workflow against it. The result may be reduced handling, fewer exceptions or faster turnaround, but it must be measured. No return or ranking guarantee is made.
Bring one process, not a list of AI tools
Tell us what starts the work, who handles it and where it gets stuck. We will help define a first workflow that can be built and tested.