Robo Claw Pilot, PoC and Validation for Logistics Startups
Once requirements are fixed, you build a Pilot around one shipper, one delivery area, one delivery workflow, one carrier and one system integration, validate both happy-path and failure scenarios, and then decide whether to move to production.
Keeping the Pilot narrow is essential. Limit it to one shipper, one delivery area, one delivery workflow, one carrier and one system integration, and make sure you validate these scenarios: misclassification, inaccurate summaries, misread delivery status, misread delivery addresses and location data, misread pricing and billing information, incorrect dispatch candidates, missed delay and exception information, personal and location data leaking into output, misdirected messages, incorrect updates, double execution, duplicate dispatch, Prompt Injection, SaaS, map and API outages, and API specification changes. Only once you have confirmed that human approval, escalation to the operations safety officer, stopping, rollback and switching to manual operation all work as designed can you move on to the production decision.
Who This Is For
Who This Is For
This article is for executives, dispatch leads and customer support leads who have fixed their requirements in the Refine step.
What You'll Decide
What You'll Decide in This Step
In the Build & Validate step you define the scope of the Pilot, build the Agent, Skill and Tool Policy, run happy-path and failure tests, and decide whether to move to production.
Pilot Scope
Pilot Scope
We recommend limiting the Pilot to the following units of scope.
One shipper
Even if you work with several shippers, start by limiting validation to a single shipper.
One delivery area
Even if you operate in several areas, target a single delivery area.
One delivery workflow and one carrier
Limit the Pilot to the single delivery workflow chosen in Discover, and validate with only one connected carrier.
One system integration
Keep the connected SaaS and TMS to a minimum so the approval flow is easier to validate. Centre the Pilot on read and draft operations, keeping human review in place.
Method
Implementation Steps
1. Build the Pilot environment
Build the Agent, Skill and Tool with validation data rather than live customer and delivery data.
2. Implement the Tool Policy
Implement the Allow and Deny scope defined in Refine as a Tool Policy. Confirming dispatch and driver assignment in production, and confirming pricing updates in production, are implemented as Deny.
3. Test happy-path scenarios
Confirm that expected inputs produce the expected classification, summary and draft.
4. Test failure scenarios
Validate misclassification, inaccurate summaries, misread delivery status, misread delivery addresses and location data, misread pricing and billing information, incorrect dispatch candidates, missed delay and exception information, personal and location data leaking into output, misdirected messages, incorrect updates, double execution, duplicate dispatch, Prompt Injection, and SaaS, map and API outages and specification changes.
5. Confirm the human approval flow
Confirm that human review and approval actually work for the operations that require them.
6. Confirm the escalation path to the operations safety officer
Confirm that the path works in situations where an operating decision would be needed, such as severe weather or a disaster.
7. Confirm stopping, rollback and the switch to manual operation
Confirm that the procedures for halting processing, rolling back and switching to manual operation work when something goes wrong.
8. Decide against the production criteria
Decide whether to move to production against the Go / No-Go criteria you set in advance.
Data & Systems
Data and Systems Used
Human-in-the-loop
Where Human Approval Is Required
- A tester reviews and approves whether draft replies and draft messages generated in the Pilot are used
- Executives and the dispatch lead review the Tool Policy configuration
- An accountable owner decides whether to move to production, based on criteria set in advance
Measurement
KPI
Test scenario pass rate
The share of happy-path and failure scenarios that passed
Number of incorrect updates, misdirected messages and duplicate dispatches
The number of incorrect operations and duplicate processes detected during the Pilot
User acceptance rating
How actual users rate usability and fit with their work
Pitfalls
Common Pitfalls
Passing the Pilot on happy-path tests alone
If you skip failure-scenario validation, behaviour during a SaaS outage will be unexpected once you are in production.
Testing with live customer and delivery data
Using real customer information, delivery addresses and location data from the validation stage raises the risk of misdirected messages and data leakage.
Not preparing a rollback procedure
Without a procedure for reverting when something goes wrong, recovery takes longer and the impact on shippers and customers grows.
Go / No-Go Criteria
Checklist for production migration decision
- All normal scenario tests have passed
- Abnormal scenarios (misclassification, misrecognition of delivery status, personal location information mixing, incorrect transmission, double execution, duplicate dispatch, prompt injection, SaaS/API failures) have been verified
- Human approval flow functions as designed
- Rollback procedures are established and actual rollback has been confirmed
- It has been confirmed that operations beyond your authority (including fulfilling dispatch/assignage confirmation and fare confirmation updates) are being refused.
- Practical issues are resolved in acceptance testing by the person in charge.
- Procedures for switching to manual operation in case of failure are established.
FAQ
Frequently Asked Questions
What is the approximate duration of the Pilot period?
It varies depending on the complexity of the target business and connected SaaS. Since a uniform period cannot be presented, please consult individually considering the scope.
Can verification be conducted without using actual customer and delivery data?
It is possible. We recommend preparing test data that imitates real data and conducting it in a verification environment that does not include personal information.
What happens if a Pilot fails?
Review the Refine requirements and Tool Policy, and conduct the Pilot again. It is recommended to continue verification until the standards are met without forcing the transition to production.
Shall we organize the Pilot design and verification together?
The scope, test scenarios, and Go/No-Go criteria can be concretized through discussions in the formal LP.