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Frontier AI deployment partner

Turn model capability into working software.

H2H helps you define what a model should do, connect it to the data and systems it needs, and test how it performs in the workflow. Your team agrees the access limits, human reviews, and evidence needed before broader use.

Start with a defined task, a responsible owner, and the result you need to improve.

Capability-to-workflow fit map

Where should frontier model capability enter the product or workflow?

Show owners, artifact, and review detail
Operating path
  1. Use case

    The model is tied to a named task and user workflow.

  2. Capability

    The team agrees quality requirements and tests strengths, limits, and failures.

  3. Interface

    Users can complete the task, review results, and handle exceptions.

  4. Validate

    Representative work is tested before broader deployment.

People in the room

Technology leaderWorkflow ownerProduct or engineering leadReview owner

What changes

H2H defines the task, builds the interface and integrations, and tests results against agreed review criteria.

You receive

Validation record and deployment recommendation

Next decision

Proceed with the agreed capability, revise it, close a gap, or stop based on the test results.

Review categories

Task qualityReview effortException rateAdoption
The visual answers the executive question first: what changes, what H2H produces, and what choice the buyer can make.

What changes

Build the workflow around a defined model task.

We design the interface, integrations, review steps, and evaluation together. The result is a working capability with a defined scope and evidence your team can use to decide what comes next.

  1. 01

    Use case

    The model is tied to a named task and user workflow.

  2. 02

    Capability

    The team agrees quality requirements and tests strengths, limits, and failures.

  3. 03

    Interface

    Users can complete the task, review results, and handle exceptions.

  4. 04

    Validate

    Representative work is tested before broader deployment.

See what is broken, what H2H changes, and the operating state the team is trying to reach.

A defined model task and agreed criteria for evaluating its output.

Clear data access, approval, and exception-handling requirements.

Working integrations within the agreed implementation scope.

Test results and an operating handoff your team can review.

Show implementation scope, responsibilities, and review details

How H2H helps

Define the task, build the connections, and review the results.

H2H helps teams evaluate and implement models from providers such as OpenAI and Anthropic, including Claude, with defined tasks, integrations, human review, and operating responsibilities.

H2H designs the work around the model.

H2H works with your product, operations, security, and engineering teams to define the task, build the integrations and interface, and test the workflow with representative work.

Tutela adds policy checks where the workflow needs them.

We evaluate Tutela when the workflow needs supported policy checks, approvals, decision records, or customer-managed control around connected tools and data. Its use depends on technical fit.

Workflow fit

Compare model assistance with rules, process changes, and human review for the task in scope.

Review boundaries

Define the data a model can use, the actions it can request, and which outputs or actions require human approval.

Implementation path

Build the interface, data access, integrations, and exception handling needed to use the model in daily work.

Review evidence

Record task results, approval decisions, exceptions, and remaining gaps so your team can decide whether to expand, revise, or stop.

Prerequisites

  • A defined workflow or product use case
  • Access to product, engineering, and operating owners
  • A task to evaluate and criteria for judging the result

H2H owns

  • Define the model task and design the interface and workflow
  • Implement the integrations within the agreed scope
  • Collect the agreed quality, review, and operating measures

Customer owns

  • Name product, workflow, and technical owners
  • Provide model access, system context, and representative test work
  • Approve access, actions, and review requirements, and make the deployment decision

Next step

Discuss where model capability fits your work.

Bring your task, current systems, and any known data or review requirements. If you still need to select an opportunity, start with the Sprint.