VROOM ANALYTICS
Staging demo. Built as an illustrative sample for Disruptive Creations (residential development consultancy) — not a live client project. Nothing here sends email or touches their systems.
S01 automation · Staging demo

Watch an AI agent run a real workflow — failure, retry, and all.

This isn't a diagram. Press run and the agent classifies an inquiry, checks the CRM, drafts a follow-up, waits for your approval, sends it — hits a failure, retries — and logs everything. The orchestration, error handling, and monitoring are the product.

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Abstract terracotta illustration of an AI workflow in motion: an inquiry being classified, a draft written, a human approving, and the system retrying a failed send — orchestration, error handling, and monitoring in one flow
Piece 1 of 5

Live: the agent runs the whole workflow

Pick a fictional sample inquiry — or write your own — and press run. The agent works through six steps in front of you: two run live in your browser, three are simulated integrations (labeled), and one is you — the human approval gate. A failure is injected on purpose so you can watch the retry.

  1. queued1 · Classify the inquiryRuns live in your browser

    Waiting to run.

  2. queued2 · Look up the contact in the CRMSimulated

    Waiting to run.

  3. queued3 · Draft the follow-upRuns live in your browser

    Waiting to run.

  4. queued4 · Human approvalThat's you

    Waiting to run.

  5. queued5 · Send with retry on failureSimulated

    Waiting to run.

  6. queued6 · Log everythingSimulated

    Waiting to run.

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Workflow blueprints

Three automation ideas drawn for the sample business. Blueprints are the design — the first one is the agent run you just tried above.

Runs live above — full agent run

WF-1 · Inquiry triage → follow-up draft

Trigger
New inquiry arrives (form or inbox)
AI step
Classify by intent: feasibility, coordination, process, general
Integration
Look up the contact in the CRM
AI step
Draft a follow-up in their voice from approved copy
Human
Person reviews, edits, approves — nothing sends without this
Output
Send with automatic retry on failure
Monitoring
Log every step, alert on repeated failure
Illustrative blueprint

WF-2 · Consultant coordination digest

Trigger
Weekly schedule (e.g. Monday 8am)
Automation
Gather consultant emails + updates per project
AI step
Summarize status, blockers, next actions per project
Human
Person reviews the digest
Output
Send digest to the project lead
Illustrative blueprint

WF-3 · Pre-development checklist nudges

Trigger
Checklist item still missing after N days
AI step
Draft a nudge referencing the specific missing document
Human
Person approves or skips
Output
Send nudge + log it
Automation
Escalate to a call task if still missing
Want one of these running your business? Request a quote
Piece 3 of 5

Guided setup walkthrough

How Vroom would set this automation up for the sample business. Step through it — each step says what we do, what the client provides, and whether it's live or illustrative in this demo.

Illustrative in this demo

Step 1 — Connect the inquiry source

We plug into wherever inquiries already land: the contact-form inbox, a shared info@ mailbox, or a simple form. The client provides access; we configure the connection on their accounts, never ours.

  1. Connect the inquiry source — inbox or form, on the client's accounts. Illustrative here.
  2. Map intents to their services — categories drawn from their public site: feasibility, consultant coordination, process questions. Illustrative here; the categories below are the real ones.
  3. Draft follow-ups in their voice — templates built from approved site copy, not invented claims. The drafter runs live in Piece 3.
  4. Human approval before anything sends — every draft waits for a person. Nothing goes out unreviewed, ever. Live rule in Piece 3: you are the approver.
  5. Monitor and tune monthly — misclassified inquiries get reviewed, categories get refined. Illustrative here; part of the $99/mo care plan in production.
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When it breaks at 2am

The demo above injects one failure so you can watch the retry. In production, this is the part clients actually pay for: the automation is monitored like infrastructure, not left running and hoped about.

Monitor

Every run is logged

Each step writes a timestamped record — what ran, what it decided, how long it took. When something looks off, there's a trail to read instead of a mystery to guess at.

Alert

Failures page a human

One failure retries automatically. Repeated failures — or a step the agent can't resolve — raise an alert with the full context attached. Nothing fails silently at 2am.

Fix

Retries, fallbacks, escalation

Transient errors get retried with backoff. Anything the automation can't fix escalates to a person with the run history attached — the inquiry is never dropped, it's handed over.

Tune

Reviewed and refined monthly

Misclassified inquiries get reviewed, categories get refined, prompts get tightened as your business changes. Setup is just day one — this is the $99/mo care plan: monitoring, error fixes, and small tweaks as your apps and APIs change.

A simple one-trigger flow you could build in an afternoon doesn't need any of this — and we'd tell you. Orchestration earns its keep on the jobs that run while you sleep.

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Honest boundaries

Exactly what this demo does and doesn't do — and how the production version runs.

Live in this demo

  • The inquiry classifier — runs for real on the text you enter, in your browser.
  • The follow-up drafter — composes a draft from the classification, in your browser.
  • The human approval gate — the run stops until you approve or stop it.
  • The retry logic — the failure, the retry, and the escalation policy are real code paths.
  • Nothing leaves your browser. No accounts, no email sent, sample data only.

Illustrative, not connected

  • The CRM lookup, the send, and the run logging — simulated stand-ins, clearly labeled.
  • The inbox connection in the blueprints — drawings, not integrations.
  • We have no access to Disruptive Creations' inbox, CRM, or internal documents, and don't pretend otherwise.
  • Sample inquiries are fictional, written to resemble real ones.

How it runs in production

n8n or Make orchestrates the flow; an AI model does the classification and drafting; a human approves before anything sends; every run is monitored with retries, alerts, and escalation. Configured on the client's accounts — they own everything.

Go deeper: the multi-agent pipeline code — typed handoffs, the approval gate, failure drills, idempotent sends (GitHub repo publishing soon) — and the blog: the problem in detail, and the step-by-step solution.

Platform costTypical rangeNote
n8n (self-hosted)~$5–$20/mo infraEstimates, not quotes — depends on volume. Our build fee is separate: S01 $120 / $300 / $500, care plan $99/mo.
n8n Cloudfrom ~$20/mo
Make~$9–$29/mo at this volume
AI model usagea few dollars/mo for hundreds of inquiriesEstimate — metered per use.

Starter

$120

One revenue-critical workflow with error handling and failure alerts.

Connected

$300

Connected systems with monitoring across your apps.

Premium

$500

Full orchestration: multi-agent workflows, AI knowledge system, 30-day monitoring.

No invented client quotes, no client results claimed. The real thing is scoped to approved info, tested against edge cases, and reviewed by a human before launch — same as every Vroom build.

Request a quote for automation

Want this running your business?

Same shape, your systems, your voice — scoped, priced, and monitored before you commit. Fixed scope, fixed price, 14-day defect window.

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