# AI Agent Building & Orchestration Platforms: evaluation worksheet

Source: https://dutygraph.com/directory/ai-governance/categories/agent-building/
Editorial date: 2026-09-07

## Scope

- Organization / team:
- Task and expected output:
- Human owner:
- Product and version:
- Evaluation date / environment:
- Reviewer:

## Questions

### 1. Which tool calls require approval, and is approval bound to the exact proposed action?

- Observation (demonstrated / described / unknown):
- Evidence reference:
- Limitation or follow-up:

### 2. What happens after a timeout when the remote system may already have accepted the request?

- Observation (demonstrated / described / unknown):
- Evidence reference:
- Limitation or follow-up:

### 3. Can workflow, model and prompt versions be reconstructed for an earlier run?

- Observation (demonstrated / described / unknown):
- Evidence reference:
- Limitation or follow-up:

### 4. How are credentials isolated between customers, employees and separate agent runs?

- Observation (demonstrated / described / unknown):
- Evidence reference:
- Limitation or follow-up:

## Evidence checklist

- [ ] A recorded failure-and-resume demonstration
- [ ] Versioned workflow configuration
- [ ] Tool-call and approval logs from the same execution

## Boundary to check

An orchestration feature is not evidence that every connected system enforces the intended policy. Verify the limits of each tool and connector. A builder also cannot establish that the business needed the proposed workflow in the first place.

## Decision

- Fit for the scoped task:
- Unresolved gaps:
- Next action, owner and date:

This is a planning worksheet, not an endorsement, access approval or compliance certification. Keep confidential evaluation notes in your organization's approved storage.