Organized and automated processes
An agent performs better when processes are already mapped and repetitive tasks have reliable flows to build on.
AI Agents
Custom agents, not generic chatbots
An AI agent is not a generic chatbot. It is software that understands a goal, queries your systems, and executes tasks end to end within limits you define: qualifying a lead, resolving a ticket, preparing a report, or keeping your CRM up to date.
Building one makes sense when there is a B2B process with real volume, clear criteria, and measurable operational cost. It does not make sense when the process still changes every week, or when a simple automation solves the problem with less risk.
That is why we always start with the use case, not the technology. If an agent is not the right answer, we will tell you and propose the simpler path.
Where an agent generates real impact
Agents designed around specific B2B processes, not demos.
- Sales and Lead Qualification Agent
It receives every lead, enriches it with data from your systems, qualifies it against your criteria, and hands it to the right salesperson with the context already prepared. It can draft the first contact and schedule the follow-up.
Impact: response in minutes instead of days, less commercial leakage, and a sales team focused on the opportunities that truly matter.
- Support Agent with Human Escalation
It resolves repetitive queries with your business information, checks the real status of orders or accounts, and escalates to a person when the case requires it, with all the context gathered.
Impact: more consistent service, less support load, and customers who do not repeat their problem three times.
- Operations and Back-Office Agent
It processes documents, extracts and validates data, keeps your tools in sync, and prepares recurring reports. The administrative work that consumes hours today gets executed with supervision, not with a keyboard.
Impact: less manual error, more traceability, and hours recovered every week for higher-value work.
- Internal Knowledge Agent
It answers your team with the company's documentation, policies, and data, citing the source. Answers stop depending on who is available or where that document was saved.
Impact: fewer interruptions between teams, faster onboarding, and knowledge that is not lost when someone leaves.
Integrated with your tools, under your control
An agent is only useful if it works where your team works. That is why we integrate it with your real tools: CRM, helpdesk, email, ERP, and the internal platforms you already use, through their APIs and flows orchestrated with n8n when it adds control.
How we keep control
- Defined permissions: the agent accesses only the data and actions its task needs, not one more.
- Full traceability: every execution is logged so you can audit what it did, when, and why.
- Human review: higher-risk actions require approval from your team before executing.
- Continuous evaluation: we measure the quality of the agent's answers and decisions against real cases, before and after deployment.
Our work process
A method designed to delegate work without losing control.
- 01
Use-Case Diagnosis
We analyze your processes and choose where an agent delivers clear return: volume, defined criteria, and measurable operational cost. We define the outcome we want to move.
- 02
Design with Guardrails
We define what the agent can do, with what permissions, what it validates before acting, and at which points a person reviews. Control is designed before functionality.
- 03
Development and Integration
We build the agent and connect it with your CRM, helpdesk, email, or ERP through their APIs. We test normal cases, exceptions, and failures of the connected tools.
- 04
Controlled Pilot
The agent works with real volume and limited scope while we evaluate quality, errors, and cost. Your team reviews its decisions and we adjust until the results are reliable.
- 05
Deployment and Monitoring
We move to production with monitoring of executions, quality, and cost. We expand the agent's scope only when the data justifies the next step.
Connected system
Where this stage fits
This piece can be activated on its own, but it gains strength when connected to the rest of the system.
Work delegated with judgment
This stage turns complete processes into delegated work: sales, support, and operations executed by agents under your team's supervision.
Capacity that scales with you
The goal is not to replace your team, but to multiply its operational capacity and free up time for the work that moves the business.
Frequently asked questions
Common questions before bringing AI agents into the operation.
- What is the difference between an AI agent and a chatbot?
A chatbot answers questions within a conversation. An AI agent executes work: it queries your systems, makes decisions within defined limits, and completes tasks end to end, such as qualifying a lead, preparing a support response, or updating the CRM. Conversation is just one of its possible interfaces.
- What access does the agent need to our data and systems?
Only what is essential for its task. We define permissions per tool and per action: what it can read, what it can write, and what requires approval. Every execution is logged, so you can always audit what the agent did, when, and with what information.
- How do you prevent the agent from making mistakes?
With three layers: rules and validations that limit what it can do, human review points for higher-risk actions, and continuous evaluation of results. The agent proposes and executes routine work; your team decides on what matters.
- How long does it take to get an agent running?
It depends on the use case and the required integrations. An agent scoped to a specific process is usually in pilot within 4-8 weeks from the initial diagnosis. We prefer to start with a small scope and expand it when the results justify it.
- How do we start?
With a use-case diagnosis. We review with you which processes fit, which systems need to be connected, and which operational outcome you want to move. With that we define scope, guardrails, and success criteria before writing a line of code.
Next step
Find out what work you can delegate to an agent
We will review with you which of your company's processes fit an agent, which do not, and where it makes sense to start.