Use cases
Jobs teams hand to UbiVibe, and what completing them actually requires.
Each use case is a bounded job with a defined completion condition — not a capability list. They are written so you can tell whether yours is the same job before committing to anything.
Bounded
One job with a defined completion condition
Connected
Runs against your existing systems of record
Measured
Completion and exceptions tracked from the start
Introduction
A use case is a job, not a feature.
Each page here describes a job with a start, an end, an owner, and a way to tell whether it finished. That framing is deliberate: capability lists are easy to agree with and impossible to verify, whereas a job either completed or it did not.
The value of reading one is mostly diagnostic. If the described job matches yours, the architecture and the exception handling will transfer. If it does not, that is worth knowing before an implementation rather than during one.
They are also honest about where the job stops. Most of these have a boundary where a person takes over, and that boundary is the design rather than a limitation to be engineered away.
- Unit
- One job to be done
- Also browse by
- Team, or industry
- Completion
- Explicitly defined
- Human boundary
- Stated per use case
Why this exists
Capability lists do not tell you whether your job will finish.
Software is usually evaluated on what it can do. Operating outcomes depend on whether a specific job completes reliably, which is a narrower and much harder question.
The gap shows up after purchase. Every listed capability works, and the job still does not complete, because the failure is in an unowned handoff or an undefined completion condition rather than in any single feature.
Framing by job makes that visible earlier. If nobody can state what "done" looks like, no amount of capability will produce it.
You're likely here because
- A capability exists and the outcome still does not happen
- Nobody can state the completion condition for the work
- Handoffs between teams stall without anyone noticing
How to choose
Finding the use case that matches your job.
If
The job is revenue-facing
If
The job is building an internal tool or surface
If
The job is finance or operations coordination
Start with
Start with the finance and operations use case
If
The job is customer support quality
Start with
Start with the customer support use case
If
None of these match
How it works
What every use case here has in common.
The jobs differ. The structure that makes them completable does not.
Step 01
State the job
Describe the outcome in business terms, including what completion looks like from the receiving side.
Step 02
Resolve the context
Identify the records and permissions the job depends on and confirm they are reachable before building anything.
Step 03
Place the human boundary
Decide which steps run unattended and which require a person, and encode that rather than relying on convention.
Step 04
Run against real records
Execute the job end to end on live data, including a deliberately ambiguous case.
Step 05
Measure completion
Track completion rate, cycle time, and intervention count against the baseline captured beforehand.
Use cases
Documented jobs — 4 in total.
Build
Turn a business need into working software
Use Launch to create websites, apps, CRMs, dashboards, and internal tools from plain language while UbiVibe keeps identity, data access, and execution underneath the build.
Operate
Put an AI operator in front of cross-system work
Use ARIA to interpret the request, confirm intent, resolve the approved connection, and move from conversation into governed action.
Grow
Run GTM work without separating it from business context
Use Grow to run revenue execution against the same connected records the rest of the company operates on.
01
AI operator for revenue teams
Pipeline data goes stale, outbound is manual, and forecasting depends on someone remembering to update a spreadsheet. Grow runs on your real CRM data instead.
Read more →02
AI operator for finance and operations
Reporting means pulling numbers from three systems by hand. UbiVibe connects the systems and builds the dashboard on top of them.
Read more →03
AI operator for founders and small teams
You need a working dashboard or internal tool, not a six-week build. Launch turns a description and your real data into something running today.
Read more →04
AI operator for customer support and success
Support context is scattered across tools your team already has open. ARIA can surface what matters where the team already works.
Read more →Scope
What these pages deliberately avoid.
- They do not claim a job is fully autonomous when it has a human boundary by design.
- They do not name customers or present customer outcomes as proof.
- They do not cover jobs where the required systems cannot be reached.
- A job listed here still needs your own completion condition; ours is an example, not a specification.
FAQ
Questions about this collection.
How is a use case different from a workflow blueprint?
A use case describes the job and why it is hard. A workflow blueprint describes the mechanics of moving data between two named systems. Most implementations need both.
My job is not listed. What then?
Describe it to ARIA directly. The catalogue reflects what we have written up, and a job that is not listed is usually a variation on one that is.
How much of a use case runs without a person?
It varies by job and is stated on each page. Routine bounded steps run unattended once proven; consequential decisions stay under human authority by design.
Do these require replacing existing systems?
No. Every use case assumes your systems of record stay authoritative and the workflow runs around them.
How long before a use case delivers anything?
The decisions take hours, the proving takes weeks. Most of the elapsed time is running the job against real records long enough to trust it.
Should I browse by use case, team, or industry?
Whichever matches how the problem was framed to you. They overlap heavily; the framing differs rather than the destination.
Keep exploring
Related paths.
Start with ARIA
Ask ARIA about use cases.
You do not have to pick your way through this collection to get started. Describe the outcome you want and ARIA determines which capabilities, systems, and workflows the job needs.
- ARIA acts only through the systems and permissions you connect.
- Connections use scoped credentials you can change or revoke.
- Actions are recorded, and consequential ones can require approval.
Start here
Describe the job, not the feature you think you need.
ARIA resolves a stated outcome into the objective, the systems involved, and the execution path — which is a faster route to the right use case than picking one from a list.