Interactive workflow examples
Choose a common bottleneck, change the sample inputs, and run the scenario. See how the next action changes when a detail is missing or a customer replies.
No signup. Fictional data. Nothing sent.For small service teams / Fictional example
A website inquiry lands in your inbox. Nobody is sure who should reply.
A new customer wants recurring office cleaning. Capture the request, assign the next step, and ask for the details needed to quote—without promising a price or a slot.
We’re looking for cleaning twice a week for our office. We have six rooms and a small kitchen. Ideally after 6 PM, starting next month.
Please let us know what information you need and whether you can arrange a site assessment.
Run example to prepare and edit the draft.
From example to your business
One form submission → one assigned record in your existing tracker.
Reply drafts, service-area rules, multiple lead sources and a custom review screen are additional scope.
See services and scope ↗Measure: Time from a valid inquiry to an assigned owner; unassigned requests at the end of the day.
7.2 hours / month
Illustrative current effort, not promised savings. Uses 4.33 weeks/month. Review and exception handling will still take time.
Every project receives a written quote after compatibility and scope review. A single handoff between existing tools is a smaller starting point than a complete demo interface. Custom interfaces, AI and multi-step workflows must be explicitly included in the quote. Software fees are separate.
Find the email → copy the details → ask who owns it → remember to reply.
Open your follow-up list. Review the draft. Know who is responsible.
Your website form → existing inbox or tracker → assigned review task. Missing details are held for review; a failed connection can be retried without silently losing the request.
These examples are rule-based, not live AI. A real build needs agreed permissions, integration checks, failure handling and acceptance testing. We configure existing software where that solves the problem; we build only the missing pieces.
Tell us where work gets stuck and which tools you use. We’ll confirm what can be simplified before proposing a build.
Jobber’s published Earth Love Cleaning story describes a real cleaning company using quote follow-ups. Jobber also supports quote approvals and change requests; HoneyBook documents onboarding triggers and tasks. These tools already solve parts of the problem. Tier9AI’s role is to configure what fits and build missing handoffs where needed.
These are independent references, not Tier9AI clients, endorsements or tested integrations. All businesses and records inside the interactive examples are fictional. Research reviewed September 25, 2026.
Fictional examples, not customer results or promises of revenue. No external connections or persistent storage. Refreshing resets the demos. Final scope depends on your tools and requirements.
