Agentic, not merely generative.
Trunnion products are designed around bounded, multi-step work across models, tools and people, not a single answer in a chat window.
AI-generated illustrationThe approach / How it works
An agent can prepare, reason and coordinate. A dependable application also needs to know what it may access, what it may change and who has the authority to decide.
The product thesis
Models can generate material. An operating product must also coordinate real work, respect authority and leave people able to review what happened.
Trunnion products are designed around bounded, multi-step work across models, tools and people, not a single answer in a chat window.
Each platform begins with a specific operating context, its records, its handoffs and the people accountable for the result.
Identity, permission, review and release-specific evidence belong in the execution path, not in a policy added after the workflow is built.
This explains the design approach. Actual controls and record coverage are verified for each release.
State the objective, the inputs and the result worth achieving. Name the systems the application may reach and the person responsible for the outcome.
Resolve identity, data access and permitted actions before the workflow proceeds. Separate a recommendation from permission to make a change.
Connect the appropriate agents, models and tools around the task. Review consequential work through the configured human decision path.
Examine the output and the release-specific execution record. Confirm what happened, what a person approved and what needs further review.

The distinction matters whenever software changes a record, sends a communication or makes a commitment. Establish that boundary in the workflow - not just in a policy document.
Gather context, draft a response and organize a next step within the configured scope.
Present the proposed work and the relevant context to the role holding decision authority.
Confirm what execution is allowed and what record should remain after the decision.
The orchestration runtime and developer platform.
Core brings the application's task, tools, models and operating authority into one runtime context.
Vertical platforms add the workflow and experience of an industry. Other innovations have their own roles: Meet is a standalone product built on Core, while Port is designed to operate independently with optional Core binding.
Explore CoreAsk to see how the proposed release handles a request it is not permitted to complete. The response, operator visibility and record should be part of the evaluation.
Check how the workflow handles unavailable dependencies, partial results and retry conditions. Confirm that incomplete work cannot be mistaken for a completed action.
Review the actual evidence available for the release: source context, proposed actions, human decisions and execution outcomes. Do not infer complete record coverage from a diagram.
Connectivity, identity, data handling and operational ownership affect the deployment. Resolve them together with the use case before committing to an architecture.
A specific workflow. A real operating constraint. An accountable next step.