orbis.systems · workflow library · carrier exception triage
free reading · open architecture
orbis/ workflow/ carrier exception triage
Free reading This is a full open architecture for how to build this workflow with agents. Use it. Run with it. Build it yourself on Orbis SaaS, or have us deploy it for you — either path is fine.
01.the problem前提

What this actually looks like.

observed pattern

A 200-person 3PL processes 800 to 2,000 shipments a week. Eight to fifteen percent have exceptions: delays, damages, missed pickups, address corrections, customs holds. Each exception costs your ops team 12 to 25 minutes of manual triage across email, the carrier portal, the TMS, and customer chat.

The ops manager loses 12 to 20 hours a week to this. Customer NPS lags because responses are slow. Chargebacks stack because the activity trail is fragmented across five systems.

02.the architecture構造

How you'd actually build it.

Each step is its own agent-or-pipeline component. Don't try to do this in one giant prompt — the failure modes compound.

  1. Watch the surface area
    Subscribe to carrier APIs (FedEx, UPS, DHL, regional carriers) and your ops inbox in parallel. Any exception event lands in one normalized queue. This is the ingest agent.
  2. Classify and prioritize
    Each exception gets categorized (delay / damage / route / cost / customs), severity-scored against SLA, tagged with customer tier and revenue at risk. This is the classifier — a small fast model with strong rules.
  3. Draft the response and the log
    Generate the customer-facing email, the internal Slack post for the account owner, and the TMS log entry. All three reference the same exception and the same proposed action. This is the writer agent — Claude Sonnet here makes sense for tone control.
  4. Route or auto-resolve
    In-tolerance exceptions auto-resolve and notify. Edge cases route to the human who owns that customer with one-click approval. Everything closes back to the activity trail. This is the verifier — human-in-loop gate where it matters.
03.the stack構成

What it runs on.

No vendor lock-in. Every piece is replaceable. The orchestration outlasts the model — when Claude 5 or GPT-6 ships, swap the model, keep the pipeline.

orchestration
orbis
integrations
n8n + composio
carrier apis
easypost / shippo
drafting
claude sonnet
04.the math数字

What this actually returns.

Calibrated to mid-market scale (50–1000 staff, $1M–$200M revenue). Your numbers will vary; the framework gives you the order of magnitude to plan against.

ops time reclaimed
12–20 hrs/wk
Across the team. At $50/hr loaded, $30k–$50k a year recovered.
response latency
−60% to −80%
Median exception response time goes from hours to minutes.
chargeback recovery
+15–30%
Activity trail is no longer fragmented. More disputes win.
05.two paths入手

Build it yourself, or have us ship it.

build it yourself · orbis saas

Free on Orbis Free or Team

Take this architecture, sign in with Slack, run it on Orbis SaaS. Free tier covers most mid-market scale.

$0 to start · 10k credits/mo · upgrade to Team at $50/mo

Start on Slack
have us ship it · orbis enterprise

We deploy it inside your stack

4 weeks. Inside your stack. Working against your real data. Your team owns the system at handoff. Use the architecture above as the starting brief.

$35k fixed scope · Enterprise tier included · optional retainer

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