Demos
See exactly what gets prepared, reviewed, and updated.
These are fictional, deterministic demonstrations. They do not log into a real CRM, message a real customer, call a paid AI service, or claim measured client outcomes. Their job is simpler: make the workflow logic easy to inspect.
Start here
Three familiar workflows. One shared operating model.
Request → Prepare → Review → Handoff. The important part is not the animation; it is where the workflow pauses, exposes an exception, and requires human approval.
- 1Request
- 2Prepare
- 3Review
- 4Handoff
New service request from Northstar Design
We need help coordinating onboarding across our CRM, shared inbox, and project board. Can someone review the current handoff?
More scenario walkthroughs
See how the same design ideas apply to different kinds of work.
The industry changes; the fundamentals do not. Useful context should be prepared, ownership should be clear, and judgment-heavy steps should not disappear behind automation.
Legal client intake
A new inquiry becomes structured intake context and a review-ready first response without pretending that conflict review or legal judgment should be automatic.
Maintenance coordination
A maintenance request is classified, missing information is surfaced, and a vendor handoff is held until a person approves the next step.
Donor engagement
A fictional contribution event becomes an organized supporter record and a prepared outreach path with clear review before communication.
Proposal preparation
An RFP-style document is turned into a requirements brief, internal reference search, and review-ready proposal structure.
Project meeting handoff
Meeting notes become decisions, owners, action items, and project updates rather than another document somebody has to interpret later.
Security incident triage
A fictional alert becomes structured context and a response checklist while consequential actions remain visible to the responsible person.
Make it yours
A useful demo should lead to a better question.
Instead of asking “Can AI do this?”, bring the actual trigger, systems, approvals, and exceptions from your process. That is enough to start mapping a believable first automation.