Customer support chatbots
Answer from approved policies, look up orders and prepare changes—with human approval and handoff when needed.
AI & automation · UAE & international projects
AI agent development for Dubai & UAE businesses
AI agents that find information, use business tools and complete defined tasks. Built with permissions, approval steps and human handoff.
01Understand the request02Use the right tools03Approve the action
Example: an assistant prepares a booking for your team to approve.
Platforms we can connect
Your scope
Give an agent a defined job and the tools to do it
Start with one repeatable task and define what success looks like.
Connect the required tools, set approval boundaries and test realistic requests before release.
Inside a product we built
Agents with a clear job to do.
See how our coding-agent product separates coordination, building, testing and review.
See the product story ↗What you can build
AI agents use cases
Operational assistants
Help staff gather information, check records and move workflows forward through scoped tools.
Agent features in a product
Add task-oriented assistants with permitted actions, progress updates and controls to review or stop work.
Choose your approach
Choose the right level of agent capability
| Approach | A good fit when… | What to consider |
|---|---|---|
| Read-only research assistant | Finding information, comparing records and recommending next steps from permitted sources. | A person still makes any resulting changes in business systems. |
| Agent with approval before action | Preparing responses, account updates or operational changes for staff approval. | Review screens must clearly explain the action and its consequences. |
| Agent operating within agreed limits | Repeated tasks with defined tools, bounded permissions and checkable conditions. | Requires recovery, usage limits, duplicate prevention and a route to human intervention. |
Budget & planning
What determines AI agent development cost?
We estimate tool integrations, approval flows and evaluations around the agent’s job. Model usage and infrastructure costs are separate.
- Connected systems, APIs, authentication and permitted actions.
- Branching decisions, memory and resuming interrupted tasks without duplicate actions.
- Approval screens, execution logs, evaluation, monitoring and maintenance.
Delivery
From setup to handover.
Bound the job
Define permitted actions, approval requirements, tool access and conditions for human help.
Build and challenge it
Test tools against normal requests, ambiguity, failed dependencies and attempts to exceed permissions.
Release with oversight
Release with agreed supervision, logs, usage caps and review queues.
Planning your approach? AI agent or workflow automation: choose the right approach →
AI agents FAQs
How is an agent different from a chatbot?
Agents can use tools and complete multi-step tasks beyond answering questions. They also need permissions, validation and recovery paths.
Can you connect an agent through MCP?
Yes. We build or connect Model Context Protocol integrations where suitable, with authentication, tool permissions and data-exposure checks.
Can the agent work without human approval?
Low-risk actions can run within agreed limits. Financial, destructive and other sensitive actions need an appropriate approval process, defined before implementation.
Explore further
Related services
Let's work out the next step
Let’s scope your next project.
Tell us what you want to build or improve.
Tell us about your project ↗Prefer email? [email protected] · Meet Aya Studio