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fernet.consultores

Artificial Intelligence

AI Integrations.

We connect AI models to your systems, data and tools securely and traceably.

The problem we solve.

A model's value depends on what it can access. Integrating it with internal systems without access control, logging or limits opens a new door in your architecture.

What’s included.

  • Integration of models with APIs and internal systems
  • Control of access and exposed data
  • Logging and traceability of every call
  • Management of keys, quotas and costs
  • Observability of latency, errors and tokens

How we work.

Five phases, always in the same order. Select each one to see what happens in it. In full projects they map onto the stages of our method.

We identify the use case, the data available, the risks and how success will be measured.

We design the solution: models, data, integrations, security controls and traceability.

We build the integration with access control, call logging, quotas and secrets management.

We test permissions, errors and usage limits and confirm that every call is logged.

We tune the system based on real usage and monitor the system like any other production service.

Technical capabilities.

  • REST APIs
  • Model Context Protocol
  • Model gateways
  • Secrets management
  • OpenTelemetry for GenAI
  • Splunk AI Agent Monitoring

Use cases.

AI in internal tools

Add AI capabilities to an existing application.

Access to corporate data

Give a model controlled access to internal information.

Multiple providers

Use different models behind a single integration.

Benefits for your organisation.

  • Secure, audited integration
  • Visible cost and usage
  • Independence from the model provider
  • Lower risk of data exposure

Deliverables.

  • Integration developed
  • Documented access controls
  • Usage and cost dashboards
  • Technical documentation

Frequently asked questions.

What is Model Context Protocol?

An open protocol for connecting models and agents to tools and data sources in a standard way.

Can we switch model provider later?

We design the integration so that changing provider has as little impact as possible.

How is cost controlled?

With per-application quotas and dashboards showing token consumption and estimated cost.

Shall we talk about AI Integrations?

Tell us about your situation. If this service is not what you need, we will tell you; if it is, we will propose a concrete first step.

Request this service