AI agents for your business, built on Generative AI
A chatbot answers questions. An AI agent acts: built on Generative AI, it connects to your systems and takes charge of a complete workflow, from start to finish. The aim is not to save a few minutes here and there but to free your team from babysitting an entire repetitive process, so they can spend their time on judgement and decisions.
Before an agent, does your company already work in an agentic way?
A Generative AI agent delivers results when the company knows which workflow to automate and its team already works with AI day to day. If that is not yet your case, this is the order that works best.
Together with you, we map your company's specific workflows and prioritise which one benefits most from an agent. That way, your first agent takes on the process where it frees up the most.
See the AI Readiness AssessmentYour team learns to work with Generative AI before delegating to it. Without that foundation, an agent ends up as a demo nobody maintains.
See the BootcampWith the workflow identified and the team ready, we implement the agent that takes charge of that whole process. This is where you are now.
Why your team still does by hand what an agent could handle
Most companies already use Generative AI to draft or summarise. The real value comes when you stop just asking AI questions and start handing it an entire workflow.
A repetitive workflow that ties up one of your team
Qualifying leads, updating the CRM, preparing the same report every week. Work that takes hours of a human's time and needs no expert judgement.
Chatbots that inform but do not resolve
An assistant that answers questions does not close the case. The customer is still waiting and your team ends up stepping in anyway.
Data spread across systems that do not talk to each other
CRM, ERP, email and spreadsheets, all separate. Nobody has the right data at the right moment to decide quickly.
Fear of automating and losing control
Giving Generative AI autonomy is daunting if you do not know where the limits are or what the EU AI Act requires.
What a Generative AI agent is (and how it differs from a chatbot)
The difference between a chatbot and an agent is the difference between an assistant that informs and one that takes charge. This comparison will help you decide what your company needs.
| Capability | Traditional chatbot | Generative AI agentRecommended |
|---|---|---|
| What it does | Answers questions with information | Makes decisions and carries out actions |
| Access to systems | Isolated, with no connection to your data | Connected to CRM, ERP, email and internal data |
| Scope of the task | One answer per query | A complete workflow, from start to finish |
| Autonomy | Waits for every instruction | Acts on its own within defined limits |
| Impact on your company | Saves the odd click | Frees your team from an entire repetitive process |
Generative AI agents do not replace your humans: they take care of the mechanical work so your team can spend its time on judgement, relationships and decisions.
Types of Generative AI agents we implement
We prioritise the agent that frees up the workflow with the most impact in your company. These are the cases we see most often in the companies we work with.
Sales agent
Qualifies leads, researches prospects, drafts personalised proposals and updates the CRM. The human handles the close, not the groundwork.
Operations agent
Monitors incidents, generates reports, coordinates tasks between departments and flags anomalies. Your team receives summaries ready for decision-making.
Support agent
Resolves frequent queries without escalation and routes complex cases to the right human with the full context attached.
Multi-system agent
Connected to your CRM, ERP, email and internal data. It accesses the right information at the right moment to complete entire tasks.
How SAPINN implements Generative AI agents in your company
Learning by doing: your team does not just watch the agent work, it builds, tests and validates it alongside our consultants. No black box and no lock-in to us as your supplier.
Use case assessment
We identify the specific workflow that has the most impact if it is automated with an agent. We prioritise by the time it frees up, not by technical complexity.
Agent architecture design
We define the tools it will use, the systems it connects to and its limits on autonomy. Your team takes part in every design decision.
Development and testing with real data
We build the agent with real test cases from your company. No generic demos: validation with your data, your processes and your success criteria.
Go-live and ongoing support
The agent goes into production under active supervision. We adjust, measure and document until it handles the workflow reliably and your team no longer needs to keep an eye on it.
Why SAPINN's Generative AI agents are different
EU AI Act compliance, real hands-on support and measurable impact. It is not an online course, it is not a demo, it is not an open-ended promise.
EU AI Act compliance included
Every agent we develop complies with the EU AI Act from the design stage: human oversight, traceability of decisions and data protection under the GDPR. Your company can roll out agents with no regulatory risk or legal surprises.
Real hands-on support, not just code delivery
SAPINN does not hand you an agent and disappear. We support the whole implementation, measure the impact on your workflow and adjust until the agent handles the process reliably.
Your team learns while the agent works
Learning by doing applied to agents: by the end, your executives and teams know what the agent does, how to improve it and when to scale it. Real autonomy, with no dependence on the supplier.
Generative AI agents by sector
Real, anonymised examples of the type of workflow an agent handles in the sectors where we work most.
Law firms and the legal sector (in Spanish)
An agent reviews contracts, extracts risk clauses and prepares drafts with the source cited, always with mandatory human review because of professional confidentiality.
Industry and manufacturing (in Spanish)
An agent cross-checks plant incidents, orders and stock, and generates the daily report with prioritised anomalies so the manager can decide in minutes.
Retail and logistics (in Spanish)
A support agent resolves the most common order and returns queries and only passes to a human the cases that need judgement.
Who a Generative AI agent is for (and who it is not for)
Being honest about fit saves everyone time. If it is not the right moment for you yet, we will tell you and point you to where to start.
It is for your company if
- You have a specific workflow that eats up your team's hours, with data from several systems
- Your team already works with Generative AI day to day and wants to delegate complete processes
- You want control and regulatory compliance, not a black box
- You are looking for measurable impact on a process, not a demo
It is not the right moment yet if
- Your team does not yet work with Generative AI: start with the Generative AI Bootcamp
- You do not yet know which workflow to automate first: work it out with the AI Readiness Assessment and a use case mapping exercise
- You only need to automate a simple workflow with no decisions: consider Automation with Generative AI (in Spanish)
Already have agents and want to scale with a robust architecture and ongoing support? Discover our AI Agent Architecture service (in Spanish) and the fractional AI Department.
Frequently asked questions about Generative AI agents
The questions executives ask us most often before implementing their first agent.
What is a Generative AI agent?
It is a system based on Generative AI that does not stop at answering questions: it connects to your tools (CRM, ERP, email, internal data), makes decisions within defined limits and runs a complete workflow from start to finish. The difference from a chatbot is that the agent acts, it does not just inform.
How is it different from a chatbot?
A chatbot answers a query with information and waits for the next instruction. A Generative AI agent accesses your systems, chains several actions together and completes the whole process. Where a chatbot saves the odd click, an agent takes charge of an entire repetitive workflow.
Where should my company start?
If your team does not yet work with Generative AI day to day, start with the Generative AI Bootcamp. If it already works with AI but you do not know which workflow to automate first, work it out with the AI Readiness Assessment and a use case mapping exercise. With that foundation, your first agent takes on the process where it frees up the most.
How long does it take to go into production?
A first agent on a specific workflow is usually in production within weeks, not months. We start with the process that frees up the most time and validate it with real data from your company before signing it off.
Do I need technical staff in my company?
No. We use learning by doing: your humans build and validate the agent alongside our consultants, with no prior technical expertise needed. By the end, your team knows how to run it and improve it on its own.
Do the agents comply with the EU AI Act?
Yes. We design every agent in line with the EU AI Act and the GDPR from day one: human oversight, clear limits on autonomy and traceability of decisions.
Are agents going to replace my team?
No. An agent does not replace a team or a human. What it does is take repetitive, inefficient processes off their hands so they can spend their time on judgement, client relationships and decisions. The goal is to free up their time, not to cut headcount.
Your first Generative AI agent, in production within weeks
Start with the AI Readiness Assessment. We identify which workflow in your company benefits most from an agent and tell you honestly whether the best first step is the agent, the Bootcamp or a use case mapping exercise.
Request your AI Readiness Assessment Start with the Bootcamp