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Case assessment
We assess your case, identify where AI genuinely adds value and plan the best option for your company.
AI for business
AI implementation and AI solutions for business: agents, internal assistants, AI automations and RAG over your knowledge base. AI that saves time, not flashy demos.
AI for business specialists
AI where it really saves time, not where it looks good in a slide deck. At Camacode we deliver practical AI implementation for business: internal assistants over your knowledge base (RAG), automatic classification of emails and tickets, report generation with real data and tier-1 support that only escalates complex questions to a human.
Every project starts with a scoped case and clear metrics. Comparative tests against the manual process. Production deployment with guardrails, logs and monitoring. AI solutions for business with humans-in-the-loop where the risk demands it.
Service phases
AI system quality is earned iteration by iteration, not at the first deployment. Four phases with a scoped case, real metrics and production at the end of the cycle.
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Prototype in weeks
Functional MVP against real data. Comparative tests vs the manual process.
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Production + monitoring
Deployment with guardrails, quality logs, usage metrics. Continuous iteration based on real data.
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Continuous iteration
We tune prompts, connect new sources and refine guardrails based on actual use. AI system quality is earned iteration by iteration, not at the first deployment.
Ship AI for business with measurable results
+900%
YoY growth of "AI for business" searches in Spain. The wave is just starting.
3–6 wks
From kickoff to an AI assistant or AI-powered flow in production.
ROI <1 yr
Closed AI projects have recovered cost in less than 12 months.
Google Keyword Planner (Spain, Apr 2025 – Mar 2026) + closed projects.
About AI for business
What you'll consider before investing in an AI for business project. We answer the most common questions we receive.
01 Is AI reliable for business tasks?
It depends on the case. For search, classification, extraction and human-assisted generation, yes. For fully autonomous, high-impact decisions we still don't recommend trusting it blindly. In most AI automations we choose what to automate and what to review based on risk.
02 How is an AI agent different from RPA?
RPA follows fixed rules: if the interface changes, it breaks. An AI agent reasons over context, uses tools and adapts to minor changes without re-programming. For ultra-predictable processes RPA still works; for those that require interpretation, AI agents are the modern option. With most clients we build a hybrid: rules where reliability matters, agents where flexibility matters.
03 What about sensitive data?
Options: (1) commercial APIs with a no-training contract, (2) Azure OpenAI or Anthropic with regional isolation, (3) open-source models hosted on your own infrastructure for cases with critical data. We decide based on your data sensitivity and regulations.
04 How much does it cost to maintain an AI system?
It depends on usage volume and the model. We study it for your specific case and make it clear up front, so there are no surprises.
05 Will AI replace my team?
Not the goal, not the reality: AI removes the repetitive part of the work so the team spends time on what requires human judgment. In very specific cases, for companies just starting out, we can also set up a team of AI agents able to compete with the teams of far larger companies: marketing, programming, customer support or administrative agents, depending on what you need. Across closed AI solutions for business projects, headcount has held or grown.
06 Which models do you use?
Whatever best solves each case. GPT-4/5 for heavy reasoning, Claude for long context, small models (GPT-4 mini, Claude Haiku) for cheap classification, and open-source models (Llama, Mistral) when it makes sense to host them on your infrastructure.
07 Can you explain to non-technical people what the AI does?
Yes. Part of the deliverable of an AI implementation is documentation in plain language for your team, with real examples of the system working. No "black boxes".
Start with your first AI for business case
Tell us which process takes most of your week and where you suspect AI can help. In the first conversation we validate whether it fits as a scoped case with clear ROI, and tell you how we'd approach it.