AI Agent Development Company

STYLABS is an AI agent development company with teams in Dubai and Mumbai. It designs and builds AI agents that answer customers and do operational work inside a business's own systems, with a person stepping in where a wrong call is costly. Its agents for Hireavilla, a villa marketplace, handle 5,000 to 10,000 guest conversations a month on WhatsApp and Instagram, and 30% to 40% of them are handled to the end without a person stepping in. A pilot costs AED 12,000 to AED 35,000.

The studio was founded in 2015 and has between 10 and 49 people across its two offices. It builds agents on Anthropic's Claude models, Opus and Fable, chosen per project, and works for clients in the UAE, India, the US, the UK and Europe.

AI chatbot or AI agent: which one you need

A chatbot that only answers is a smaller build, and a SaaS product often covers it. An agent that changes data in your systems needs tools, guardrails, logging and evaluation, which is where the engineering goes.

STYLABS does both AI chatbot development and AI agent development. On the first call we will tell you if a chatbot or an off-the-shelf product is the right size for the problem.

Be wary of the label. Reporting Gartner's figures in June 2025, Outlook Business wrote that "Gartner estimates only about 130 of the thousands of agentic AI vendors are real", describing the rest as "agent washing": existing chatbots and automation tools renamed without substantial agentic capabilities (Outlook Business, retrieved 19 October 2026). Ask any vendor, including us, which actions their agent takes and who approves them.

An agent in production: Hireavilla

Hireavilla is a multi-host villa marketplace: about 150 properties from many owners, across Goa, Alibaug, Mangalore, Bali and Dubai. STYLABS built the marketplace, its ERP back office, a guest app, an owners app, and the AI agents that run the booking conversation.

Channels. WhatsApp and Instagram.

What the agents do. They run the booking conversation end to end, from the first enquiry through the booking flow. They are connected to availability, bookings and payments, so a guest asking about dates gets an answer from live inventory, and a guest ready to pay can be sent a payment link.

Volume. Around 5,000 to 10,000 guest conversations a month.

Share without a person. 30% to 40% of those conversations are handled to the end without a person stepping in. The figure counts conversations. It is not a count of bookings or revenue.

Handoff. A person takes over for VIP guests and for offline payments.

Types of AI agents we build

Beyond Hireavilla, STYLABS has shipped agents in five other areas. The clients are not named and no results are published, so ask on the call about the one closest to your work.

Customer-facing agents

• Sales and booking agents on messaging channels, as for Hireavilla above.
• Property management agents.

Internal operations agents

• Financial bookkeeping agents.
• Operations management agents.

Content agents

• Content research and writing agents.
• Video editing agents.

A customer-facing agent needs a clear route to a human and strict limits on what it may say. An internal agent can be given more actions, with an approval step before anything hard to undo.

STYLABS also builds the automations around agents: invoice processing, vendor follow-ups, dashboards and alerts. Those are covered on the workflow and AI automation service page, along with the choice between n8n, Make, Zapier and custom code.

How we build an agent

We map the process before proposing an agent, and count the hours it takes today. Then each agent is designed around seven decisions. Our longer write-up on multi-agent design is A Practical Guide to Building Agentic AI Products.

1. Tools. An agent can only act through the tools it is given: look up availability, read a reservation, create a lead, draft a reply. Lookups come first. Tools that write data are few and narrow.

2. Data and grounding. The agent answers from your data, in your team's vocabulary: listings, rates, policies, past tickets. If the answer is not in the data, it says so and hands over.

3. Memory. We decide per agent what it keeps: the current conversation only, the customer's history from the CRM, or notes it writes for the next step. More memory means more context to get wrong, so it is added only where the job needs it.

4. Guardrails. Limits on which topics are out of scope, which amounts the agent may quote and which records it may change. These belong in code, where the model cannot talk its way past them. A guardrail that lives only in the prompt is a suggestion.

5. Human approval gates. Wherever a wrong call is expensive, the agent drafts and a person signs off before it proceeds. For Hireavilla, VIP guests and offline payments go to a person.

6. Evaluation and logs. Every step is logged, traceable and replayable, and every agent is scored continuously, so a drop in quality shows up on a dashboard before it shows up in a complaint.

7. Model choice. We build on Anthropic's Claude models, Opus and Fable, and choose between them per project. The model is one part of the agent. The tools, guardrails, approval gates and evaluation around it decide most of how it behaves.

We prefer several small agents, each with a narrow job you can inspect, to one large prompt nobody can debug when it drifts.

Integrations

An agent is only as useful as the systems it can reach. STYLABS has built against:

• CRMs: Salesforce, Zoho and HubSpot, and custom CRMs built for the client.
• Property management: Hostaway, on four custom booking sites that read availability and rates live from the operator's account.
• ERPs and back offices: Hireavilla's ERP, which gives one view of inventory, bookings and guest communication.
• Payments: payment links sent inside the conversation.
• Messaging: WhatsApp and Instagram.

WhatsApp AI agents

WhatsApp is the most common channel we are asked about, and it has its own rules: Meta's 24-hour customer service window, pre-approved templates outside it, opt-in, a required route to a human, and per-message fees. All of that, with published prices for WhatsApp agents in Dubai and the cases where one is the wrong tool, is on our WhatsApp AI agent page.

Process: from first call to production

1. Free AI consult. 30 minutes, mapping two or three automations you could ship this quarter. You keep the roadmap.
2. Pilot. One agent, one workflow, one channel, with a person approving its actions at first. The pilot costs AED 12,000 to AED 35,000.
3. Production. The agent's limits widen as the evaluation scores and logs justify it. Approval gates are removed only where the data shows they are no longer needed.
4. Support. After launch, STYLABS offers a monthly retainer for tuning prompts, tools and policies as the agent meets real conversations. The price is on request.

You own what is built: the code and the IP belong to your business.

What AI agent development costs

STYLABS. An AI agent or automation pilot costs AED 12,000 to AED 35,000, excluding VAT. What a pilot includes depends on the project: the number of systems the agent connects to, how many actions it can take, the languages, and the channels. We quote it after the consult.

Running costs. These also depend on the project, and they are separate from the build. The main ones are:

• Model usage. Model providers charge by the volume of text processed. Anthropic, for example, prices its API per million tokens of input and output (Claude, Pricing, retrieved 19 October 2026). Cost rises with the length and number of conversations.
• Channel fees. Meta charges per delivered WhatsApp template message, at rates set by market and message category. The detail is on the WhatsApp page.
• Hosting for the agent, its logs and its evaluation.
• Support, if you take the monthly retainer.

When you compare quotes, ask which of these a monthly fee covers.

What others publish. SparxIT, which ranks for this search in the US, publishes three bands: $10,000 to $20,000 for a "Basic Level" agent with "Rule-based logic, Prebuilt APIs, Simple UI, Limited queries"; $20,000 to $40,000 for "LLM integration, Custom workflows, Multi-channel support"; and $40,000 to $100,000 or more for "Multi-agent orchestration". It puts timelines at "4 weeks to over 6 months" (SparxIT, AI agent development, retrieved 19 October 2026).

At the other end, a SaaS support agent charges per result. Intercom prices its Fin AI agent "From $0.99 per Fin outcome", with helpdesk seats from $29 to $132 per seat a month (Intercom, Pricing, retrieved 19 October 2026). An outcome includes a resolution, defined as "No further help is requested after the last AI answer", and each conversation is charged at most one outcome (Intercom Help Center, Fin outcomes, retrieved 19 October 2026).

A per-outcome bill grows with every conversation the product closes. A custom agent costs more up front, and its running costs follow model usage. Which is cheaper depends on your volume and on whether the product can reach your data.

When not to build an agent, and when to hire someone else

Other suppliers are compared in AI automation agencies in Dubai.

Gartner's own warning is a good starting point. Outlook Business reported Gartner's prediction that "More than 40% of agentic AI projects will be cancelled by the end of 2027" because of "escalating costs, unclear business value or inadequate risk controls" (Outlook Business, above). Most of those failures are visible before the build starts.

• Your bot only needs to answer questions. If customers ask the same twenty things and the bot never needs to change a record, buy a SaaS product such as Intercom Fin or a helpdesk chatbot. It will cost less and go live sooner.
• The process is not stable. If the team does the job differently every week, an agent will automate the confusion. Write the process down first.
• The data or the volume is missing. An agent needs a system to answer from and enough repetitive work to pay for itself. If neither is there yet, fix that first.
• Every decision carries liability. Legal, medical, credit or investment advice should reach a person. An agent can triage those requests. It should not answer them.
• Your sector is regulated fintech, healthcare or defence. Nothing in our published work covers those sectors. Ask, and we will tell you whether we have done it.
• You need a large enterprise rollout across many departments. A firm with hundreds of engineers and its own compliance team may suit you better than a studio of our size.
• You have engineers in house and a clear design. Build it yourself on the model provider's tools. Hire us when you want the design, the evaluation and the integrations done by a team that has run an agent in production.

Start with a free AI consult

The first step costs nothing. In a 30-minute call we map two or three automations you could ship this quarter, and say plainly whether an agent, a chatbot, a SaaS tool or nothing is the right answer. You keep the roadmap whether or not you hire us. Book the call or write to hello@stylabs.com.

FAQ

What does an AI agent development company do? It designs and builds software that uses a language model to answer people and take actions inside a business's systems, such as checking availability, creating a CRM record or sending a payment link. STYLABS does this from Dubai and Mumbai, connects each agent to the client's own data, and adds human approval gates, logging and evaluation so a person can check what the agent did.

What is the difference between an AI chatbot and an AI agent? A chatbot answers questions from a script or a knowledge base, usually one reply per message, and changes nothing. An AI agent also acts: it reads and writes to your CRM, booking system or ERP through tools you define, and works through several steps per request. Because it can take a bad action, an agent needs guardrails, logs and an approval step.

How much does AI agent development cost? A STYLABS pilot costs AED 12,000 to AED 35,000, excluding VAT, quoted as a fixed price after a free consult. Running costs are separate and depend on model usage, channel fees such as WhatsApp Business templates, hosting and any support retainer. SparxIT publishes bands from $10,000 for a basic agent to more than $100,000 for multi-agent work.

Has STYLABS built AI agents that are in production? Yes. For Hireavilla, a villa marketplace of about 150 properties, STYLABS built AI agents that run the booking conversation on WhatsApp and Instagram. They handle 5,000 to 10,000 guest conversations a month, and 30% to 40% are handled to the end without a person stepping in. A person takes over for VIP guests and offline payments.

Which AI models do you build agents on? STYLABS builds on Anthropic's Claude models, Opus and Fable, and chooses between them per project. The model is one part of the agent. The tools, guardrails, human approval gates and evaluation around it decide most of how the agent behaves, and those are designed for your workflow and your systems whichever model runs underneath.

Who owns the agent and the code? You do. The code and the IP belong to your business. After launch, STYLABS offers a monthly retainer for tuning prompts, tools and policies as the agent meets real conversations, with the price on request. Taking the retainer is optional, and the agent remains yours either way.

Sources

1. SparxIT, AI Agent Development Company — https://www.sparxitsolutions.com/artificial-intelligence/agent-development (retrieved 19 October 2026). Verified: fetched and read.
2. Intercom, Pricing — https://www.intercom.com/pricing (retrieved 19 October 2026). Verified: fetched and read.
3. Intercom Help Center, Fin AI Agent outcomes — https://www.intercom.com/help/en/articles/8205718-fin-ai-agent-outcomes (retrieved 19 October 2026). Verified: fetched and read.
4. Claude, Pricing — https://claude.com/pricing (retrieved 19 October 2026; redirected from anthropic.com/pricing). Verified: fetched and read. Cited only for the pricing unit (per million tokens).
5. Outlook Business, Over 40% of Agentic AI Projects Will Be Scrapped by 2027, Says Gartner (25 June 2025) — https://www.outlookbusiness.com/deeptech/artificial-intelligence/over-40-of-agentic-ai-projects-will-be-scrapped-by-2027-says-gartner (retrieved 19 October 2026). Verified: fetched and read. Gartner's own press release (https://www.gartner.com/en/newsroom/press-releases/2025-06-25-gartner-predicts-over-40-percent-of-agentic-ai-projects-will-be-canceled-by-end-of-2027) returned 403 and was not read.