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AGENT GOVERNANCE
AI agent governance for enterprises
We define who can deploy, what each agent may do, how it is audited and how operational risk is measured.
AI agent governance for enterprises
An AI agent governance model matters when you need the governance and risk model, not only the technical stack deployment. Before selecting tools, we define journeys, permissions, data and supervision criteria so the agent operates under your company's control.
We work from Barcelona and Madrid and remotely with teams across Spain, Europe, LATAM and the United States. The process combines discovery, access hardening, verifiable releases and operational documentation.
We hand over code, repositories, configurations, skills and documentation in accounts owned by your company. You can audit, rotate credentials or change supplier without lock-in.
We define who can deploy, what each agent may do, how it is audited and how operational risk is measured. That is why we prioritise a governable, measurable agent ready to evolve without rebuilding its foundations.
THE CHALLENGE
The challenge of agent governance
agents are deployed without roles or audit
Agents deployed without control
Different teams launch agents with permissions and access but no common policy supervising them.
Automated actions without traceability
Nobody logs what each agent decides, and any error is impossible to reconstruct afterwards.
Data and compliance risk
Agents accessing sensitive information without clear rules expose the company to leaks and breaches.
APPROACH
How we fix governing operational risk
We move forward with measurable decisions and releases that already add value.
Inventory of agents in use
We identify which agents exist, what tools they use and what permissions they hold.
Governance policy definition
We set who may deploy, what access is allowed and which decisions need human approval.
Implementing controls and logs
We apply limits, action auditing and alerts to supervise each agent's behavior.
Periodic review and update
We audit policy compliance and adjust rules as usage and risk evolve.
DELIVERABLES
What agent governance leaves ready
We deliver an operational foundation your team can govern and keep improving.
Agent inventory and map
Registry of all agents with their tools, permissions and assigned owners.
Documented governance policy
Clear, applicable rules for deployment, access, human oversight and exceptions.
Operational controls and traceability
Logging and alerting system documenting each agent's actions for audit.
Continuous review protocol
Audit schedule and criteria to keep governance aligned with real risk.
TRUST
Technology applied to real operations
We define operating model, permissions, audit and evaluation for agents in production.
- Scope, assumptions and risks visible before the deployment is committed.
- Least privilege, secrets and systems of record defined from the design stage.
- A measurable first release before expanding channels or departments.
- Code, configuration and documentation under your company's control.
FAQ
Questions about AI agent governance
Have a project in mind?
Tell us what you need around AI agent governance. We will help you turn it into a clear, viable delivery plan.
