Accepting or Rejecting AI Dispatch Suggestions

Learn how to accept, reject, or batch-process AI dispatch suggestions, use Auto Mode for hands-free approvals, and how rejection history improves future recommendations.

Acting on AI Suggestions

After reviewing AI suggestions on the AI Dispatched tab, you need to accept or reject each one. Your decisions confirm the technician assignments and move jobs through the dispatch pipeline.

AI Dispatcher Jobs list showing dispatched and confirmed jobs with status indicators

Accepting a Suggestion

Click Accept on a suggestion card to confirm the AI's recommended assignment. When you accept:

The job moves from the AI Dispatched tab to the Confirmed tab
The technician receives a notification with job details, time, and location
The customer gets an automated confirmation with the scheduled arrival window
The job appears as a confirmed block on the Live Dispatch timeline

Accept suggestions when the confidence score is strong, the reasoning checks out, and there are no conflicts or overlaps flagged on the card.

Click Reject to send the job back to the Queue for re-optimization. The AI will generate a new suggestion using updated schedule data, potentially recommending a different technician or time slot.

When you reject, the system prompts you for a reason. Common rejection reasons include:

Skills mismatch -- the technician lacks a required certification
Time conflict -- the suggested time does not work for the customer or technician
Workload concerns -- the technician is already at capacity
Customer preference -- the customer requested a specific technician
Route inefficiency -- the assignment creates unnecessary backtracking

Always provide an accurate rejection reason. The AI uses your rejection history to avoid repeating the same mistakes. For example, if you consistently reject a technician for a certain job type, the AI learns to stop suggesting them for similar work.

Batch Actions

When you have multiple suggestions waiting, use batch actions to process them efficiently:

Approve selected -- select multiple high-confidence suggestions and approve them all at once
Reject selected -- reject a group of suboptimal suggestions and send them back to the Queue together

Batch actions are especially useful during morning planning when overnight jobs have generated a queue of suggestions. Sort by confidence, select the top group, and approve in one click.

Rejection History and AI Learning

The AI Dispatcher tracks your rejection patterns and adjusts future suggestions accordingly. Over time:

Technicians repeatedly rejected for certain job types stop being suggested for those jobs
Time slots you consistently reject get deprioritized
Routing patterns you correct (such as avoiding certain neighborhoods for specific technicians) get incorporated into future calculations

This feedback loop means the AI gets more accurate the more you use it. The first week of suggestions may need more manual correction, but accuracy improves steadily as the system learns your preferences.

Auto Mode

If you trust the AI's judgment for routine assignments, enable Auto Mode in your dispatch settings. With Auto Mode active:

Suggestions above a configurable confidence threshold (default 85%) are automatically accepted
Suggestions below the threshold still require manual review
Critical conflicts such as time overlaps or impossible travel are never auto-accepted, regardless of confidence score
You receive a summary notification of auto-accepted jobs so you can audit if needed

Auto Mode works best for businesses with well-configured technician skills and consistent job types. If your team handles highly variable or specialized work, manual review gives you more control over assignments.

Auto Mode does not bypass your guardrails. Jobs with missing information, flagged conflicts, or sub-threshold confidence still land in your review queue.

Best Practices

Process suggestions promptly -- unreviewed suggestions block the AI from optimizing around confirmed assignments
Use batch approve for 85%+ confidence -- saves time without sacrificing quality
Provide specific rejection reasons -- vague feedback ("other") does not help the AI learn
Review Auto Mode results weekly -- check the summary to confirm auto-accepted jobs are meeting your standards
Monitor the Live Dispatch page after bulk approvals to verify the day's schedule looks balanced