AI automation services and custom AI agents

It finds the work worth automating, builds the agents and workflows that do it, connects them to your systems, tests them on real cases and keeps them running after launch. You get a working system in production, not a strategy deck.

Automation follows fixed steps: a lead comes in, goes to the CRM, a message goes out. An AI agent chooses its steps: it reads the request, picks a tool, checks the result and calls a person when unsure. Most projects mix both: fixed steps where the path is known, an agent where the work takes judgment.

No. A chatbot answers questions from a script or a knowledge base. An agent also acts: it creates the deal in your CRM, books the call, files the task. If your customers only need answers, a chatbot is enough.

The build depends on how many systems the agent connects to, the state of your data, what it may do without a person and how much testing it needs. After launch come the monthly bill for models and hosting and the time of the person who takes handoffs. You get an estimate after a call about your process.

The timeline follows the integrations and the tests more than the AI itself. For Encore, a Dubai agency, the CRM that its AI call notes feed went from the first commit to production in 9 days. You get a timeline together with the estimate.

Usually, yes, if the tool has an API: CRMs, helpdesks, calendars, email, Google Sheets, WhatsApp and Telegram. At Encore, call notes turn into tasks on the CRM board, and the assignee gets a Telegram message. If a tool has no API, we look for an export or a webhook, or automate a different step first.

Whatever fits the process. The content factory and the Instagram agent we built run on n8n: clear steps, many tools, quick to change. Custom code pays off when a workflow outgrows the builder: strict data rules, heavy logic or a test suite of its own.

Where the data goes is agreed before the build: which model provider, which region, what the agent may store and for how long. The agent gets access only to the systems its job needs, and card numbers, ID numbers and similar fields stay out of prompts and logs.

It hands the case to a person. Each agent has rules for when to stop: a question outside its job, a sensitive request, a failed step. In the Instagram agent we built, every failed run sends a Telegram alert with the step, the account and the reason.

Yes. Encore, a PR, media and events agency in Dubai, runs on the website, CRM and AI call notes we built. For WhatsApp agents in the UAE, Meta's rules for AI on WhatsApp and its message fees are part of the plan from the start.