Product tour 02

Let AI help with the research without giving it the final word

This tour retrieves approved material, asks a selected model to organise what it finds and then pauses for a subject-matter expert to review the work before anything continues.

Interactive walkthrough

Five steps from a research question to a reviewed result

The workflow helps the reviewer; it does not replace professional judgement or regulatory responsibility.

Step 1

Frame the research question

The workflow captures the question, expected output and boundaries that should shape the research task.

What you can see

A clear task gives later review a defined purpose.

Step 2

Retrieve approved evidence

Pūnaha searches the selected knowledge collection for material relevant to the question.

What you can see

The organisation chooses which sources belong in the approved collection.

Step 3

Prepare a structured analysis

The configured model receives the task and retrieved context, then prepares the requested structure.

What you can see

The output is assistance for review, not automatic authority.

Step 4

Pause for subject-matter review

A person examines the evidence and proposed analysis, then approves or rejects the workflow continuation.

What you can see

The decision becomes part of the workflow state.

Step 5

Continue with the approved result

The accepted material can be merged into the final output or passed to another configured step.

What you can see

Execution history preserves the path taken through the workflow.

Controls in the flow

Make every hand-off easy to see

Approved sources

The workflow searches the selected knowledge collection rather than treating any available content as equal.

Defined model deployment

The AI step uses the supported deployment selected for this task and environment.

Human decision

The workflow cannot cross the approval step until the configured reviewer acts.

Versioned process

The published workflow version and execution history show which process was used for the work.

Bring a research process where the review really matters

Show us the evidence sources, AI assistance and reviewer decisions you want to understand.

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