Demo gallery

Examples of managed AI assistant workflows.

Browse the workflow walkthroughs below. Each example shows what the assistant prepares, what stays human-approved, and where Ethonex operates the environment.

Workflow walkthrough

Inbox triage and weekly owner report

Shows how a managed AI assistant can summarize an inbox, identify open loops, and prepare a concise owner-ready report.

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Workflow walkthrough

Client follow-up drafting

Shows stalled conversations, suggested next steps, and draft replies kept in a review-before-send flow.

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Workflow walkthrough

Safety and approval controls

Shows approval boundaries, sensitive-action handling, and the difference between preparing work and taking external action.

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Workflow walkthrough

Managed follow-up assistant

Shows how follow-up work can be tracked, prioritized, drafted, and handed to a human for final approval.

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Workflow walkthrough

Estimate and quote request follow-up

Shows how a managed AI assistant captures service requests, prepares internal summaries, and drafts replies for human approval before anything is sent.

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Workflow walkthrough

Scheduling and appointment follow-up

Shows how booking and appointment requests are logged, clarified, and turned into approval-ready confirmation drafts.

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Demo 1

Inbox triage and weekly owner report

Shows how a managed AI assistant can summarize an inbox, identify open loops, and prepare a concise owner-ready report.

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What this walkthrough shows

Sorts noisy inbox activity into owners, dates, and unresolved asks.
Flags items that need a human decision before any reply is drafted.
Produces a weekly owner report with next actions and stale threads.

The public demo uses representative workflow steps only. No customer inboxes, private documents, credentials, or regulated data are used in these examples.

Demo 2

Client follow-up drafting

Shows stalled conversations, suggested next steps, and draft replies kept in a review-before-send flow.

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What this walkthrough shows

Finds conversations where the next step is unclear or overdue.
Drafts concise follow-up options using the prior thread context.
Keeps every external message in human review before sending.

The public demo uses representative workflow steps only. No customer inboxes, private documents, credentials, or regulated data are used in these examples.

Demo 3

Safety and approval controls

Shows approval boundaries, sensitive-action handling, and the difference between preparing work and taking external action.

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What this walkthrough shows

Separates safe preparation from actions that need approval.
Blocks credential, payment, deletion, and external-send steps by default.
Creates an operator-visible record of what was prepared and why.

The public demo uses representative workflow steps only. No customer inboxes, private documents, credentials, or regulated data are used in these examples.

Demo 4

Managed follow-up assistant

Shows how follow-up work can be tracked, prioritized, drafted, and handed to a human for final approval.

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What this walkthrough shows

Turns open loops into a practical follow-up queue.
Prioritizes work by urgency, owner, and business impact.
Hands off reviewed drafts instead of acting like an unsupervised employee.

The public demo uses representative workflow steps only. No customer inboxes, private documents, credentials, or regulated data are used in these examples.

Demo 5

Estimate and quote request follow-up

Shows how a managed AI assistant captures service requests, prepares internal summaries, and drafts replies for human approval before anything is sent.

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What this walkthrough shows

Captures service type, timing, and property details from incoming requests.
Prepares a clean internal summary with missing information flagged.
Drafts a professional reply for review before any customer communication.

The public demo uses representative workflow steps only. No customer inboxes, private documents, credentials, or regulated data are used in these examples.

Demo 6

Scheduling and appointment follow-up

Shows how booking and appointment requests are logged, clarified, and turned into approval-ready confirmation drafts.

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What this walkthrough shows

Logs requested dates, times, and service types from the website.
Identifies missing details needed before confirmation.
Prepares clear, polite reply drafts kept behind human approval.

The public demo uses representative workflow steps only. No customer inboxes, private documents, credentials, or regulated data are used in these examples.

Want to see if one fits your workflow?

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