AI Agents
AI connected to your business
Assistants and agents that help your team answer questions, process information and complete defined tasks. Built around your tools, data and approval rules.
Reply within 24 hours · Defined scope · No obligation
01 AI Agents
AI integration with a practical purpose.
An AI feature is useful when it helps someone complete a real task. We start with the workflow: the information available, the action required and the points where a person needs to review the result.
We build conversational assistants, voice agents, document processing and integrations that connect models to your CRM and internal tools. We select the approach around the use case rather than a particular model provider.
The scope includes access controls, evaluation examples and fallback behaviour. You can see how the system responds to representative situations before extending its role in your operations.
02 What we build
AI applied to specific workflows
Voice agents connected to service workflows
Document extraction and classification
Lead qualification and CRM integrations
Business tool connections with scoped permissions
Evaluation sets, handover rules and monitoring
03 Benefits
AI your team can work with
01
Contextual assistance
Assistants can use approved business information to help answer questions and guide users through a defined process.
02
Connected actions
Integrations let an agent prepare or perform agreed actions, with permissions and approvals appropriate to the task.
03
Human oversight
We define when the system should ask for review, hand over to a person or stop because it lacks reliable information.
04
Evaluation and visibility
Representative examples, logs and usage monitoring help your team assess quality and decide where to improve.
04 Projects
AI in working products.
Operations platform Private project
EAP
Operations platform
05 Process
From use case to evaluated integration
01
Choose the task
We identify the users, available data and expected outcome, and decide where automation is appropriate.
02
Prototype and evaluate
We try the approach against representative examples and agree the limits and success criteria.
03
Connect your systems
We build the integrations, permissions and human review steps required for the agreed workflow.
04
Monitor and refine
We review behaviour, cost and feedback after release, with a plan for adjustments as your process changes.
06 Our team
Engineering support from discovery to operation.
Our team in Alicante works with you remotely in English or Spanish. We explain what the proposed integration can do, what it depends on and where human decisions remain necessary.
We can build a focused pilot first, so you can assess the workflow before expanding access or adding more responsibilities.
07 FAQ
Questions about AI agents
We look at the task first. If the rules are predictable, a conventional workflow may be simpler. AI is useful when the task involves interpreting language or less structured information.
Yes, with an agreed source set and access controls. We review document quality, permissions and update requirements before defining the implementation.
Where required, we can connect approved actions to your APIs. Permissions, validation and confirmation steps are defined for each action.
We evaluate realistic examples, define boundaries and add fallback or human handover paths. AI can still make mistakes, so the level of oversight should match the consequences of the task.
Costs depend on model usage, infrastructure and support. We separate these from development and estimate them around the expected workload.
08 Explore