01 / Environment
On-premise processing
We define with you where the agent runs, what information it can access and which integrations it can use.
AI agent development
AI agents that work for your company. 24 hours a day.
An AI agent is a digital coworker with superpowers: it understands requests, makes decisions, uses your tools and executes complete tasks, from qualifying a lead to resolving a customer request, without stopping, without failing, without forgetting. We build yours, tailor-made.
Illustrative simulationexample
>New lead received: website
[AI]Qualifying… company: logistics, 45 employees
[AI]Score: 92/100, qualified lead
[AI]Response sent in 8 seconds
[AI]Meeting booked: Tuesday, 10:30
>Sales team notified ✓
>
Security by design
Your data. Under your control.
We build agents to work inside your company environment. Information is not submitted to public AI tools.
02 / Access
Only what is strictly necessary
The agent only accesses authorised data and systems. Company data is not used to train third-party models.
03 / Traceability
Logged actions
Audit logs let you track the agent's actions. Human approval points are defined with your team.
With a public tool, information handling depends on that service's terms. With a custom project, the environment, access and logs are defined before implementation.
Illustrative scenarios
Three ways to put AI to work.
These example scenarios illustrate possible applications. They are not client cases or measured results. The scope and goals of each agent are defined during diagnosis.
Example scenario · Real estate
Sales
Qualify enquiries, collect preferences and propose viewings to the sales team.
Example scenario · E-commerce
Customer support
Check order status and escalate situations that need human intervention.
Example scenario · Services
Operations
Triage emails, organise requests and update internal systems with approval rules.
Before you take the next step
4 questions before hiring whoever builds your AI.
A practical checklist to evaluate the process, data, integration and results. Take it to your next meeting.
Use cases
Onde um agente de AI muda o jogo.
Sales
The problem
Leads arrive outside business hours and go cold before anyone responds.
The solution
An agent qualifies each lead in seconds, answers questions and books meetings directly in the sales team calendar.
The impact
Response in under 30 seconds, 24/7. Pipeline always warm.
Customer support
The problem
The team spends all day repeating the same answers and customers wait for hours.
The solution
An agent trained on your knowledge base resolves frequent requests and escalates to humans only when needed.
The impact
Up to 90% of requests resolved automatically, with measured satisfaction.
Marketing
The problem
Reports, content and campaign analysis consume the whole week.
The solution
An agent generates reports, proposes brand-aligned content and monitors campaign performance in real time.
The impact
Weekly work hours converted into minutes.
Operations
The problem
Emails, documents and disconnected systems create invisible bottlenecks.
The solution
An agent triages inputs, updates your systems and alerts the team to exceptions before they become problems.
The impact
Processes that run on their own. Team focused on what matters.
Finance
The problem
Invoices to reconcile, payments to collect and forecasts made by hand.
The solution
An agent reconciles invoices, sends payment reminders and keeps cash-flow forecasts up to date.
The impact
Fewer collection days. Fewer errors. More predictability.
How it works
From diagnosis to your agent in production.
Diagnosis
We map your company's processes and identify where an AI agent generates the most impact: repetitive tasks, support bottlenecks, hours lost in administrative work. Leave this phase with a concrete plan, with estimated costs and return.
Agent build
We design and develop your agent: brand personality and tone of voice, knowledge base, decision rules and integrations with your tools: email, CRM, calendar, ERP, WhatsApp. We test with you before going to production.
Integration and continuous evolution
The agent goes into operation with full monitoring: every action is logged and auditable. We analyze performance, fix rough edges and expand capabilities. An AI agent gets better over time, and we handle that.
Who builds it
In-house engineering. Real people.
Strategy, AI engineering and on-the-ground content capture. A team that stays with your business from the first brief to implementation.
Duarte
Ana
Hugo
Beatriz
Frequently asked questions
Everything you need to know about AI agents.
What is an AI agent?
An AI agent (or artificial intelligence agent) is a software system that performs tasks autonomously on behalf of your company. Unlike a simple chatbot that only answers questions, an AI agent understands objectives, makes decisions, uses tools (email, CRM, calendar, ERP) and completes entire workflows, such as qualifying a lead, responding to a customer or generating a report, without constant human intervention.
Quanto custa desenvolver um agente de AI?
The cost of developing an AI agent depends on the complexity of the tasks, the integrations required and the usage volume. Simple artificial intelligence automation projects can start at accessible values for SMEs, while agents with multiple integrations and advanced logic require a larger investment. At JetLevel, every project starts with a free diagnosis where we present a fixed proposal, no surprises.
Which companies should use AI agents?
Any company with repetitive processes, support volume or teams overloaded with administrative tasks benefits from AI agents. We work mainly with SMEs and growing companies in Portugal that want to automate customer service with AI, accelerate sales or free teams for higher-value work. If you have a process that follows rules and repeats itself, it can probably be automated.
Quanto tempo demora a implementar AI na minha empresa?
A first functional AI agent is typically ready in 2 to 6 weeks, depending on complexity. Our process starts with a one-week diagnosis, followed by agent build and a period of continuous integration and evolution. We prefer to launch quickly with a concrete use case and expand from real results.
Do AI agents replace people?
No. The AI agents we develop take on repetitive, low-value tasks — the ones no one on the team enjoys. The result is that people gain time for work that requires judgment, creativity and human connection. Our clients use agents to scale without proportional hiring, not to replace teams.
How do you ensure data security?
Each agent is built with access restricted only to the systems and data strictly necessary, with encryption in transit and at rest, audit logs of every action and full GDPR compliance. Your company data is never used to train third-party models. In regulated sectors, we implement additional layers of control and human review.
Book a demo of your futuro agente de AI.
In 30 minutes we show you, using your real processes, where an AI agent saves hours and generates revenue. No commitment.
I want my demo