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AZURE AI FOUNDRY
Azure AI Foundry for enterprise agents
We build agents and RAG on Azure AI Foundry with VNet, cost control, observability and enterprise deployment practices.
Azure AI Foundry for enterprise agents
An Azure AI Foundry rollout matters when you want the Azure Foundry perimeter, not a generic self-hosted agent. 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 build agents and RAG on Azure AI Foundry with VNet, cost control, observability and enterprise deployment practices. That is why we prioritise a governable, measurable agent ready to evolve without rebuilding its foundations.
THE CHALLENGE
The challenge of Azure AI Foundry
the Azure pilot lacks network, cost and observability controls
Azure environment without central governance
Agents are deployed in a scattered way and it is hard to control costs, permissions and model versions.
Integration with corporate data
Connecting agents to internal sources while keeping security and compliance requires technical judgement.
Agent quality evaluation
Without clear metrics it is hard to know whether an agent answers well or hallucinates before exposure.
APPROACH
How we fix running agents on Azure
We move forward with measurable decisions and releases that already add value.
Agent architecture in Foundry
We design the project, model and connection structure following Azure recommended practices.
Access and supervision rules
We define permissions, consumption limits and human review points for each deployed agent.
Development with continuous evaluation
We build agents with quality testing on real data before taking them to production.
Operations and monitoring
We watch costs, errors and performance and tune models and prompts in short cycles.
DELIVERABLES
What Azure AI Foundry leaves ready
We deliver an operational foundation your team can govern and keep improving.
Documented Foundry architecture
Scheme of projects, models and connections with their technical and cost rationale.
Deployed and governed agents
Operational agents with configured permissions, limits and activity logging.
Security and access policies
Rules on who can create, modify or use each agent and what data it can query.
Evaluation and cost dashboard
Metrics of answer quality, consumption and errors per agent to decide improvements.
TRUST
Technology applied to real operations
We deploy Foundry with VNet, cost control and enterprise observability.
- 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 Azure AI Foundry agents
Have a project in mind?
Tell us what you need around Azure AI Foundry agents. We will help you turn it into a clear, viable delivery plan.
