Customize Agents

How to shape agent behavior today, and what tuning controls are coming.

The Control Model

RentBridge agents recommend and report — they don't change your rates or bookings unilaterally. That means the primary "approval workflow" is built in: every pricing recommendation, maintenance prediction, and utilization insight lands in front of you, and nothing happens until you act on it.

The exception is deliberate automation you'd want anyway: damaged equipment auto-routing to maintenance at return, and equipment status flipping with the booking flow.

What You Can Tune Today

Agents work from your data, so the levers are your data:

• Base rates — the pricing agent and quote engine anchor on the hourly/daily/weekly/monthly rates you set per unit
• Categories — demand multipliers, insurance risk, and recommendations are learned per category; accurate categorization is the single highest-leverage input
• Hours & condition — maintenance predictions run on current_hours and inspection findings; telematics keeps these fresh automatically
• Completed records — closing out maintenance records and rentals promptly keeps every agent's picture current

Reviewing Agent Output

• Reports page — daily GM reports and weekly utilization/pricing analyses
• Fleet alerts — maintenance-due and low-utilization flags
• Audit log — every agent action is logged with structured detail: which agent, what it produced, when

Per-Agent Details

• Pricing Agent — weekly reviews, per-unit recommendations
• Maintenance Agent — daily checks, predictions, damage routing
• Utilization Agent — weekly fleet analysis
• Customer Service Agent — 24/7 chat, escalation triggers
• GM Agent — daily reports, escalation triage

Coming Soon

• Approval workflows — auto-apply agent recommendations within bounds you set (e.g., "auto-apply rate changes under 10%")
• Thresholds — configurable alert lead times and low-utilization cutoffs
• Message templates — customer-facing agent messages in your company voice
• Per-agent enable/disable toggles

Want one of these first? Tell us: support@rentbridge.ai.

Best Practices

1. Fix your data before tuning anything — accurate categories, rates, and hours improve every agent at once
2. Review weekly — the Monday utilization and pricing reports are your natural checkpoint
3. Act on recommendations deliberately — the learning loops observe outcomes, so consistent decisions teach the system your preferences

See Agents Overview for the full picture.