Early workspaces on Digio—demo scenarios with realistic metrics. See what coordinator-led agent teams deliver before you run your own pilot on the same board, To do, and kanban stack.
Pilot snapshot · week 4
Coordinator routed 126 runs across 3 client boards
Illustrative demo metrics—not contractual guarantees.
Demo teams run the same Digio surfaces you get at signup—canvas agents, standing tasks, kanban columns, and coordinator chat—not a separate “success portal.”
Most pilots follow the same three moves—clone a playbook, run real work, compare metrics in your workspace.
Start from a marketing, dev, or support roster—coordinator and standing tasks included.
Assign work from To do or kanban—review output in agent chats like the demo teams below.
Track drafts shipped, review time, and token spend on your plan—scale agents when the pilot holds.
Each story highlights a different reason teams adopt Digio—not generic “AI hype” slides.
Drafts, specs, and PDP updates per week—metrics tied to standing tasks and kanban Done columns.
Demo teams approve in agent chat and collaboration—agents draft, people sign off before client delivery.
Every case centres on a coordinator balancing load across agents, clients, and Digio Token budgets.
Stories map to ready-made rosters—marketing 5-pack, dev squad, support ops, and more.
See how workloads fit plans and packs before you commit to a full retainer or squad.
Board, To do, kanban, and API runs—no separate demo environment to throw away.
Jump to industry guides that expand on the demo cases above.
Treat demo metrics as a ceiling to aim for—not a promise to hit on day one.
Pick one metric — drafts per week or review minutes—before you add agents.
Clone the closest playbook—then delete tasks you will never Run.
Invite a reviewer with team collaboration—match how demo teams approve output.
Follow the quick start—first Run in minutes, then compare your week-four numbers.
Stories point to the same product pages these teams used in their pilots.
Clone the teams behind these stories or explore by industry.
Pick a playbook, assign a real task, and compare results in your workspace—no separate AI stack to maintain.
