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Frontier AI adoption

Why frontier model investments need an operating layer

A model investment needs a defined task, an operating owner, and a way to measure the result.

Cortez Lake

Model capability needs a defined role in the business. Examine the workflow, integrations, review responsibilities, and measurement needed to turn access into usable software.

Model access is not the operating model

Access to a capable model creates an opportunity to test a task. It does not establish who will use the result, which systems supply the context, or who will be responsible when the output is wrong.

The operating layer is the software and working practice around that capability: the interface, integrations, access rules, review steps, and support process. Budgeting for those parts gives the organization a fuller picture of the investment required.

Connect the investment to an observable change

Choose a specific change in how work gets done, such as preparing a draft for review or collecting relevant context for a decision. Establish how the task performs today and what would count as an improvement. Include the work of checking the output.

H2H works as a consulting and deployment partner for teams adopting frontier models. The engagement connects the model task to the interface, integrations, evaluation, and review process needed for the agreed use case.

Governance is part of adoption

Before rollout, the team needs to know which data the system can access, which actions it can take, who approves exceptions, and what records will support review. Those answers affect the workflow and the implementation effort.

Tutela can provide policy enforcement for supported agent actions in connected systems when that product fits the requirements. It is one option to assess alongside existing controls. An H2H engagement does not require every customer to adopt Tutela.

Fund the work around the model

An implementation plan should name the people and systems needed beyond the model service. Data access, integration ownership, representative evaluation cases, operator time, and a release decision all need to be accounted for.

Use the pilot to review these assumptions before committing to expansion. The outcome should show what improved, what failed, what the system costs to operate, and what remains to be resolved. A model demonstration alone cannot answer those investment questions.

  • Define the task and its baseline before setting a success target.
  • Assign owners for integrations, human review, and ongoing operation.
  • Make expansion conditional on the agreed evidence and release criteria.

Next step

Plan the work around your model investment.

H2H helps define the task, build the supporting software, and establish how your team will assess it before broader use.