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SERVICE

Artificial Intelligence

Put model-backed workflows into the systems people already use. The work covers permissions, evaluation, and approval where an action is sensitive, then handover to the team that runs it.

PLATFORM

This service is delivered as part of the platform engagement.

We analyze the estate, architect the governed path, bring it live in your environment, and hand the running system to the teams who operate it.

How an engagement runs

Agentic automation

01

We put the agent workflow in front of a model and, through MCP, only an authenticated server for an authorized tool. Results return to the workflow. The team evaluates them before the business relies on the action. MCP stays the tool boundary.

Read the computing briefing

GPU computing

02

We schedule the model-serving container on Kubernetes and attach an NVIDIA GPU only when that workload needs it. Agents and MCP servers stay off the GPU.

Read about GPU scheduling

How this engagement is scoped

  1. 01

    A named team and a delivery plan your operators can follow.

  2. 02

    Architecture that fits the security, cost, and uptime limits of the estate you already run.

  3. 03

    Support from design through the first production release, then a handover your staff can operate.