Requirements, Permissions, and Approval Design for NGOs Deploying Robo Claw in Warehouse Operations
Take the target operations you selected in the Discover step and make them concrete: the scope of target programs, warehouses, regions, supply categories, and processes; Agent, Skill, Tool, and Tool Policy; classification of donation, inbound and outbound, inventory, location, and quality data; classification of beneficiary, donor, and volunteer information; read and write permissions; separation from distribution, disposal, and compensation decisions; approval of messages sent to donors and field sites; integration with external SaaS, APIs, and equipment; the division of responsibility across headquarters, warehouses, field sites, contractors, and volunteers; logs and audit trails; safeguards against duplicate execution, duplicate shipments, and misdirected messages; and KPIs.
Who This Is For
Who This Is For
This is written for warehouse managers, supply-management leads, data-protection officers, and board members who have already selected their target operations in the Discover step.
What You'll Decide
What You'll Decide in This Step
In the Refine step, you document the scope of target programs, warehouses, regions, supply categories, and processes; the classification of the data handled; the systems to be connected; read and write permissions; approval conditions; the division of responsibility across headquarters, warehouses, field sites, contractors, and volunteers; and KPIs.
Industry Challenges
Challenges Specific to NGO/NPO Warehouse Operations
Data classification is not fully organized
In many cases there is no clear picture of which classification beneficiary information and expiry or hazardous-materials information belongs to, or how far it may be used.
Rules dividing responsibility across headquarters, warehouses, field sites, contractors, and volunteers are not in place
The scope of inventory-data sharing and the designated approvers are sometimes not documented in contractor agreements or volunteer terms.
Staff and volunteer roles are ambiguous
Operations sometimes run without a clear division of in-warehouse duties among full-time staff, part-time staff, and volunteers.
Accountability is unclear
In some cases it has not been established who bears ultimate accountability for outcomes that rely on AI agent output.
Method
Implementation Steps
1. Map the as-is and to-be states
Compare your current warehouse workflow with the workflow you are aiming for once Robo Claw is deployed.
2. Define target programs, warehouses, regions, supply categories, and processes
Clarify the scope of the relief programs, warehouses, regions, supply categories, and processes (intake, sorting, inspection, shipping, and so on) in question.
3. Design Agents, Skills, and Tools
Design the Agent roles required for the target operations, the Skills that carry out each procedure, and the scope of the Tools that operate your systems.
4. Confirm handling of donation, inbound and outbound, inventory, location, and quality data
Organize the source, update method, and accuracy-verification method for each type of data.
5. Confirm the purpose and legal basis for using personal and sensitive information
Determine whether beneficiaries' personal and sensitive information is handled, and confirm the purpose of use, individual consent, and legal basis.
6. Design the Tool Policy and read and write permissions
Define as policy which operations a Tool may perform (read/write, Allow/Deny) and whether it may update inventory, location, and shipping data.
7. Confirm separation of quality, expiry, temperature, and hazardous-materials judgments
Check that inspection and quality pass/fail decisions, expiry and temperature management, and judgments on hazardous or special materials are designed to pass through review by a specialist or responsible officer.
8. Confirm separation of distribution, disposal, and compensation decisions
Check that decisions on whether to distribute, dispose of, or compensate for supplies are designed so that AI alone cannot finalize them.
9. Confirm the division of responsibility across headquarters, warehouses, field sites, contractors, and volunteers
Using contractor specifications and agreements, confirm the scope of data sharing and the approval process with everyone involved.
10. Define external SaaS, API, and equipment integration, Secrets, logs, and KPIs
Define the external-system integration method, how Secrets are managed, the retention scope for operation logs and audit trails, safeguards against duplicate execution, duplicate shipments, and misdirected messages, and the KPIs used to measure impact.
Data & Systems
Data and Systems Used
Human-in-the-loop
Where Human Approval Is Required
- Identify, by role, who reviews output that leads to distribution decisions, quality and safety judgments, inventory confirmation, or disposal decisions
- Obtain review from the data-protection officer and the quality and safety officer for the scope in which personal information, sensitive information, and expiry or hazardous-materials information is handled
- Identify the approver for output that involves sending messages to donors or field sites
- Obtain the warehouse manager's approval for any permission grant that spans staff, volunteers, and field staff
Measurement
KPI
In the Refine step, define candidate KPIs to be validated in Build & Validate.
Target level for time to review candidate inventory discrepancies
Target time from when a discrepancy arises to when it is reviewed
Lead time to approval
Time from output creation to human approval
Detected permission violations and candidate duplicate shipments
Number of detections of operations beyond the defined permission scope, and of candidate duplicate shipments
Checklist
Requirements Definition Checklist
- Target programs, warehouses, regions, supply categories, and processes (in scope and out of scope) are documented
- Input data and outputs (intake organization, candidate inventory discrepancies, draft distribution-prep lists, etc.) are defined
- The classification of data handled (aid-recipient information, personal information, sensitive information, expiry and hazardous-materials information, etc.) and the purpose of use, individual consent, and legal basis have been confirmed
- Access permissions are defined separately for read and write operations
- A human approval flow is defined for updates to inventory, location, and shipping data
- A specialist review flow is defined for quality, expiry, temperature, and hazardous-materials judgments
- The division of responsibility across headquarters, warehouses, field sites, contractors, and volunteers (data-sharing scope and approval process) has been confirmed
- Permission separation for staff, volunteers, and field staff is defined
- The retention scope and retention period for operation logs and audit trails, and safeguards against duplicate execution, duplicate shipments, and misdirected messages, are defined
- The KPIs used to measure impact are defined
Pitfalls
Common Pitfalls
Skipping data-classification confirmation
If you proceed without confirming data classification, you will face significant rework later over the handling of beneficiary information and expiry or hazardous-materials information.
Proceeding with ambiguous approvers
Naming individuals rather than roles as approvers causes operations to stall when people transfer, step down, or volunteers rotate.
Leaving final decision authority undocumented
You need to document the division of responsibility so that AI output is never treated directly as a distribution or disposal decision.
FAQ
Frequently Asked Questions
Who should be involved in requirements definition?
At minimum, we recommend involving the warehouse manager, the quality and safety officer, the data-protection officer, and the field lead. If you handle hazardous materials, food, or medical supplies, review by a specialist is also required.
What is a Tool Policy?
It is a documented rule setting out the range of operations a Tool may perform - read or write, whether inventory and shipping updates are allowed, and so on. In Robo Claw, a Tool Policy is designed for each operation.
How granular should permission separation be?
At minimum, we recommend separating the four categories of full-time staff, part-time staff, volunteers, and field staff. As the number of warehouses or supply categories grows, also consider separation by warehouse and by category.
How do you design safeguards against duplicate execution and duplicate shipments?
Combine execution IDs, idempotency checks, and a final human review so that the same shipment or update is never executed more than once. The Build & Validate and Deploy & Operate articles cover this in detail.
Shall we organize your requirements, permissions, and approval design together?
Review your target programs, data classification, division of responsibility, and approval structure, then discuss requirements definition with us on the official landing page.