An AI automation agency in Dubai
We build AI agents that handle repetitive tasks: sorting emails, routing invoices, compiling reports, sending follow-ups. They follow your rules and escalate when something's unusual.
The problem
Every business has tasks someone does every day on autopilot. Reading and sorting incoming emails. Categorising expenses. Following up on overdue invoices. Compiling the weekly report from three different sources.
These tasks aren't hard, they're just tedious and repetitive. And they eat hours that your team could spend on work that actually moves the business forward.
Automations we commonly build
Email triage
Incoming emails get read, categorised by urgency and topic, routed to the right person, with draft responses prepared for straightforward requests. Your support lead reviews the tricky ones. The rest are handled before they finish their coffee.
Invoice routing
Invoices arrive, land in the right approval queue with the cost centre and purchase order number already filled in, and chase their own approver when the queue goes quiet. Deciding whether a document actually reconciles is a judgment call rather than a route, and that is agent work.
Weekly reporting
The figures get pulled from every tool that holds them, assembled into the same layout each week, and delivered on schedule, with an alert when a source did not answer so a stale number never passes as a current one. Writing the narrative around those figures is a different job, and it lives on generative AI development.
Follow-up sequences
Overdue invoices, unsigned contracts, and unanswered proposals trigger automatic, personalised follow-ups on a schedule you define. The sequence stops the moment someone replies.
Data cleanup
Duplicate records, incomplete entries, and formatting inconsistencies get caught and flagged (or fixed) automatically. Your data stays clean without anyone policing it.
How this differs from Zapier or Make
Not by capability. Both platforms have added agent features that read unstructured input and make decisions, and both run code, loops and branching on their paid plans. Anyone telling you Zapier is just "if this, then that" is describing a product from several years ago.
The difference is ownership and what happens when something breaks. Logic that lives in a no-code builder cannot be run locally, kept in version control, reviewed before it ships, or debugged from a stack trace, and it is invisible to whoever inherits the account. For a workflow that formats a date, that trade is fine. For the invoice rules your finance team argues about every quarter, or anything where a silent failure costs money, you want tests, a change history, and error handling you chose.
So we often use Zapier or Make as one component inside a larger system rather than the whole solution, and we will tell you when the platform is genuinely enough on its own. Our full comparison, with current Zapier pricing, walks through where each option wins.
What you get
A system that runs in the background, doing the work your team used to do manually. We build it, test it with real data from your business, and tune it until it handles edge cases properly. That work, and the handover at the end of it, is part of the project.
Ongoing monitoring, changes, and new automations are not bundled into the build price. They run on a monthly retainer, which is step 05 of how we work, and it is a separate decision you make once the agent is live.
A single-workflow agent, meaning one trigger and one or two systems with a human escalation path, is typically scoped at 2-3 weeks. We commit to a date in the proposal rather than quoting an average.
Tell us what your team does every day that a machine should be doing
We'll identify the highest-impact automation and scope it out for you. Our example scenarios show the shape of the work.
hello@telora.dev