AI AGENT TEMPLATE
An AI agent that drafts professional damage reports for camping gear returns. Multi-item handling.
Camping gear damage runs the full spectrum: torn tent fly from a windy night, zipper failure on a sleeping bag, dented stove, muddy gear returned without cleaning. Most of these are small-dollar individually, and the manual work to photograph, assess, draft a customer email, and decide on a charge is often more expensive than the damage itself — so in practice most damage quietly goes uncharged.
The Camping Damage Report Drafter makes fair damage handling economical. Staff photograph issues during the return inspection and tag the affected gear in the booking app. The agent cross-references your rate card, drafts an evidence-backed customer email citing photos and itemised charges, and stages the whole thing for manager approval before any money moves.
Consistency and speed are the levers. Two different staff handling the same damage produce the same email and the same charge. Per-incident handling time drops from 20+ minutes to under 5. Revenue recovery on damage climbs 40-60% because damage that would otherwise get waived "because it's not worth the fight" gets processed cleanly. Customer disputes drop because the email they receive is clear and photo-backed instead of cryptic.
Below is the full agent spec: trigger, tools, rate-card integration, and how to configure approval gates and customer communication tone for your damage policy.
"When I upload photos, note, and rental ID, draft a full damage report covering all damaged items with per-item rate card charges."
Paste this into Dash Agents. Dash reads the prompt, picks the right tools, assembles the logic, and creates a ready-to-run agent in seconds.
The agent uses the standard Dash Agents tool library. Every tool call is logged.
On trigger, the agent runs these steps in order. Any step can be customised by re-prompting.
Customisations by re-prompting in plain English: change the trigger timing or conditions, adjust the recipient list, tune thresholds, modify tone, add approval gates, connect additional channels (SMS, WhatsApp) if available. Run in approval mode for the first week to build confidence before switching to autonomous.
Structured automation beats manual follow-up in three ways:
Set this agent up on your first week. Run in approval mode for five days while you watch the outputs, then flip to autonomous. The ROI compounds across a full season — a quiet automation that simply does the right thing, every time, without anyone having to remember.
FREQUENTLY ASKED QUESTIONS
Per-item classification, photos, rate card references, total charge, customer letter.
Dash Agents handle the repetitive work so your team can focus on customers. Start your free trial and build your first agent in minutes.
