AI AGENTS

Generic AI agent vs custom

We help you decide between a generic agent and one built and integrated with your data.

Generic AI agent vs custom

Choosing between a generic AI agent and a custom agent on your data depends on your volume, processes and team. We help you decide with judgement and, if needed, execute the right option.

We work from Barcelona and Madrid and remotely, combining analysis, decision and verifiable delivery.

We deliver code, configuration and documentation in your environments, without lock-in.

THE CHALLENGE

Choosing between a generic AI agent and a custom one

Choosing between a generic AI agent and a custom one is not a matter of preference: it depends on your volume, your processes and your horizon.

  • Actions limited to built-in defaults

    A generic agent runs standard tasks, while a custom one acts on your specific flows and data.

  • Secure access to your tools

    A custom agent needs permissions and connections to your systems; the generic one operates in a closed box.

  • Reliability on critical tasks

    Automating processes that touch sensitive data requires validation and oversight a generic agent can't provide.

APPROACH

Choosing between a generic AI agent and a custom one

We decide with your data, not with vendor bias.

  1. Identify tasks with agent potential

    We detect the repetitive processes where an AI agent can deliver real value.

  2. Map required tools and permissions

    We define which systems, APIs and credentials the agent needs to complete each task.

  3. Build on your data and rules

    We develop an agent that knows your context and respects your internal policies.

  4. Validate with real business cases

    We test the agent on your scenarios and measure success rate and output quality.

DELIVERABLES

Choosing between a generic AI agent and a custom one

A clear decision, and executed if you want.

  • Map of automatable tasks

    List of candidate processes ordered by impact and feasibility.

  • Agent architecture and access model

    Design of components, integrations and the custom agent's permission model.

  • Validated working prototype

    Operational agent solving a real task with your data and tools.

  • Quality and return metrics

    Accuracy, time saved and cost indicators to decide with data.

TRUST

Technology applied to real decisions

We help you decide with judgement and execute the right option since 2008, in Barcelona and Madrid and remote. Code and documentation stay under your control.

  • Clear criteria to decide without vendor bias.
  • A comparison based on your data and processes.
  • A recommended, executable option.
  • Code and documentation under your control.

FAQ

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