Relay: A Delivery Engine Concept for AI-Native Service Companies
A design-led MVP concept for service companies that sell finished outcomes through governed workflows. Relay scopes the result, lets agents run the workflow, routes work through human review gates, ships the deliverable, and shows the margin on every run.
- Location
- Berlin, Germany
- Duration
- 1 week
The Challenge
Service companies increasingly want AI to do production work, but the operating model is still stitched together from tickets, spreadsheets, chats, and manual status meetings. That makes every outcome hard to scope, hard to price, and hard to audit. Agents can draft, reconcile, research, and prepare deliverables, but without gates, evidence, connector health, and margin visibility, teams either slow everything down with manual checks or ship work they cannot confidently explain. The question was: how do you run a service business as repeatable software while keeping humans in control of the moments that matter?
The Solution
Relay took shape as a landing page and operator dashboard. The landing page explains the operating loop: scope the outcome, run the agent workflow, review at the gates, ship the work, and price each run by delivered value. The dashboard turns that story into an operating surface. It includes a workflow library with prices and target margins, a delivery board for every active outcome, run timelines with evidence attached, connector health across tools like Slack, Notion, Linear, Stripe, QuickBooks, GitHub, and Salesforce, plus a margin view that shows where profit is created or lost. Every run moves through explicit scope, production, review, and delivery stages, so agents can do the repeatable work while operators approve the high-risk transitions.
Relay
A design-led MVP concept for service companies that sell finished outcomes through governed workflows. Relay scopes the result, lets agents run the workflow, routes work through human review gates, ships the deliverable, and shows the margin on every run.
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