01
Diagnosis and use case
We identify which tasks or processes have a clear return when AI is applied. We prioritize by impact, complexity and available data. If there is no case with ROI, we say so before proposing anything.
Your AI agency
Your AI agency for companies that want results, not presentations. We build AI agents for business, voice assistants, smart scheduling and AI automations on top of your knowledge base. AI where it saves measurable time.
Specialists in AI agency
The novelty of artificial intelligence has worn off and what matters today is real usefulness. In our AI agency we'd rather stop talking and start shipping: building AI agents, internal and voice assistants, smart calendars and RAG over your knowledge base. AI where it really saves time and money.
We design every agent to integrate with your systems (CRM, ERP, calendar, WhatsApp, voice), monitor every conversation and measure results with a baseline and a follow-up metric. We start with a scoped case with a clear ROI and expand from there.
Phases of the service
Applying AI with judgment requires a clear process. Four phases: first understand the case, then design the agent, deploy it to production and improve it continuously with real data.
02
Agent design
We define the agent architecture: what it does, what it decides, which tools it uses, how it integrates with your systems. Clickable prototype or demo with real cases before implementation.
03
Implementation and integration
We build and integrate with your systems (CRM, ERP, calendar, knowledge base, WhatsApp, voice). Production deployment with monitoring and logging of every conversation.
04
Monitoring and continuous improvement
We review real cases, tune prompts, plug in new sources and measure results. The quality of an agent is earned iteration by iteration, not on day one.
Optimize your business with AI agents
24/7
AI agent availability, no queues or business hours.
70%+
Of queries or tasks resolved without human intervention.
2–4 wks
Typical implementation of the first use case in production.
Indicative figures based on completed projects. Each case ships with a baseline + a post-implementation metric + real savings calculation.
About the AI agency
We answer the frequent questions companies ask before kicking off an AI project.
01 How is an AI agency different from AI consulting?
Consulting defines what to do and why (strategy, feasibility, decisions). The agency executes the projects (build, integrate, deploy AI automations). At Camacode we do both, but we charge separately so you can pick only the one you need.
02 What kind of AI agents do you build?
We build AI agents for business in several formats: internal assistants over your company's knowledge base (RAG), voice assistants for phone support, booking agents and smart calendars, automatic classification of emails or tickets, agents that execute tasks in your systems. We define the case with you based on expected return.
03 Do I need to have data to apply AI?
It depends on the case. For an assistant over your knowledge base your current documents are enough. For classification or prediction we need a minimum history. In the initial diagnosis we look at what you have and what can be built with it.
04 Who owns the data?
You do. Your data stays in your infrastructure and we work with your own accounts. Your data does not train third-party models without your explicit consent.
05 How much does an AI use case cost?
The cost depends heavily on the specific case, its complexity and the integrations needed. Get in touch with us and, once we understand your situation, we will give you a closed, tailored quote.
Implement AI with Camacode
Tell us which task or process you would like to delegate to an AI agent. In the first conversation we validate if there is a return and, if it fits, we tell you how we would approach it with scope and timeline.