Use case
AI operator for finance and operations
Connect the CRM, finance tool, spreadsheet, or database that holds the real numbers, describe the view you need, and get a dashboard built on live data — plus change detection that surfaces movement without being asked.
What this delivers
The report gets built against the systems the numbers actually live in, on live connections inside your tenant boundary, so the next question becomes another view instead of another manual assembly job.
Live connections
Views read from the connected systems rather than a pasted-in extract
Rebuildable
A follow-up question does not restart the assembly work from scratch
Change-aware
The runtime can watch for movement instead of waiting for someone to check
The operating problem
The numbers exist. Assembling them is the job.
Finance and operations teams usually know exactly which system holds each number. The cost sits in moving those numbers between systems by hand, every reporting cycle.
Failure mode 1
Source data is split
Revenue sits in the CRM, cost sits in a finance tool, and the reconciliation sits in a spreadsheet only one person fully understands.
Failure mode 2
Every cycle is manual
Each report is rebuilt by hand, so reporting cadence is limited by someone’s availability rather than by the data.
Failure mode 3
Reports answer one question
A follow-up means starting the assembly again, because the output was a document rather than a live view.
Failure mode 4
Changes are found late
Nothing surfaces a movement in the numbers until a person goes looking, usually after the point where it mattered.
Why this matters commercially
Reporting stops being a recurring project when the systems stay connected.
When the systems of record are connected once through a governed layer, building a view becomes a request rather than a project, and those same connections serve the next question without new plumbing. The work shifts from assembling numbers to deciding what to do about them.
Connect once
The same governed connections serve every later report and view
Ask again cheaply
A follow-up question does not commission another manual report
Watch, don’t check
Monitoring runs against the connection instead of a person opening tabs
How the work runs
From scattered systems to a live view.
01
Connect the systems of record
Authorize the CRM, finance tool, spreadsheet, or database that holds the real numbers.
02
Describe the view
State the report or dashboard you need in plain language, including the cut the team actually uses.
03
Build on live data
ARIA builds the view against connected data rather than sample data or a static mockup.
04
Validate against the source
Check the output against the source system before it becomes the view the team relies on.
05
Watch what changes
Set the movements worth surfacing so the change reaches you instead of waiting for the next cycle.
System view
Where the reporting layer sits.
Architecture
How a reporting workflow is assembled.
The dashboard is the visible part. The layers underneath are what keep it accurate after the first build.
Identity
Resolved before executionTenant, team, and per-system permissions resolve before any number is read.
Connected data
Live connection, not a snapshotEach system of record becomes governed, queryable context instead of an export someone maintains.
Interpretation
Provider-agnostic routingModel routing turns the described report into the structure and queries behind it.
Build and refresh
Explicit worker pathsBounded workers build the view and keep it reading from the source rather than from a copy.
Monitoring
One pipeline, not twoChange detection runs against the same connections that produced the view.
How it is built
What the reporting workflow actually does underneath.
Read-first access
Reporting needs read access to the systems of record; write scope is granted separately and only where an action genuinely requires it.
One connection layer
Each system is connected once at the organization level and reused by every later report, instead of being integrated per dashboard.
Structure from description
The described report becomes an explicit structure and query set, so what a view does is inspectable rather than implied.
Change detection on live data
Monitoring reads the same connections as the build, so an alert and a dashboard cannot quietly drift apart.
Connected systems
The systems finance and operations actually run on.
Accounting tools, CRMs, spreadsheets, and databases are reached through one organization-scoped connection layer, so the second report costs less than the first and the third costs less again.
Governance & security
Financial data with an explicit access boundary.
Finance data carries the tightest access expectations in most companies, so scope and isolation are part of the workflow rather than a policy attached to it afterward.
Scoped connections
Each connection carries only the access the work requires, and reporting work stays read-oriented by default.
Tenant isolation
Connected data, built views, and query history stay inside your organization boundary.
Permission-aware views
Who can open a view resolves through the same identity layer that governs the connection.
Traceable numbers
A figure in a view can be traced back to the connection and query that produced it.
Implementation
What adopting this looks like.
01
Start with one report
Pick the report that costs the most manual assembly today; it is the fastest thing to prove.
02
Connect its sources
Authorize only the systems that report needs, with the scope that report needs.
03
Validate before you switch
Compare the built view against the source system before retiring the manual version.
04
Add monitoring
Once the numbers are trusted, define the change conditions worth surfacing without being asked.
Example workflows
Concrete finance and operations workflows.
Example
Monthly close pack
Rebuild the recurring close report against live connections so the cycle becomes a review rather than an assembly job.
Example
Revenue against plan
Put CRM pipeline and finance actuals in one view without maintaining a reconciliation spreadsheet between them.
Example
Spend and vendor rollup
Group operational spend across connected systems and ask follow-up questions against the same data.
Example
Threshold alert
Define the movement that matters and have it surfaced when it happens instead of at the next reporting cycle.
Example
Ad-hoc board question
Answer a one-off question from live systems without commissioning another manual report.
Example
Operational exception review
Surface the records that fall outside expected ranges so the team reviews exceptions instead of scanning everything.
Limitations and considerations
What this does not do for finance and operations.
- A language model must never be the source of a number. Values come from connected systems of record; the model organizes and explains. Any design that blurs this line is unsafe for finance.
- The read-first posture for financial systems is deliberate. Writes into a ledger should stay narrow, explicitly approved, and auditable, and should not be widened because it would be convenient.
- Nothing here substitutes for accounting judgment, segregation of duties, audit requirements, or statutory controls. The workflow layer makes the process visible; it does not assume authority.
- Connected reporting inherits the quality of the source systems. If the underlying records are wrong, faster access delivers the wrong answer sooner.
- ERP and finance connector coverage varies. Standard objects connect readily; custom modules and unusual configurations may require mapping work first.
- Detection thresholds are business judgments that need an owner. Set them too tight and the signal becomes noise everyone learns to ignore.
Questions
Does ARIA calculate our financial numbers?
No. Every figure is read from the connected system of record. ARIA resolves the question into the right records, organizes the result, and explains the derivation so it can be checked. A number a model cannot trace to a source has no place in a finance workflow.
Will it write into our accounting system?
The default posture is read-first. UbiVibe reads live records to build reporting and workflow surfaces around the finance system. Writes are possible but should stay narrow, explicitly approved, and fully auditable, because the cost of a wrong ledger write is not symmetric with the convenience.
Does this replace our ERP or accounting software?
No, and replacing it is almost never the highest-leverage move. The expensive gap is the manual assembly layer that has grown up around those systems in spreadsheets and email, and that is what gets rebuilt.
How does it know what changes matter?
You define them. A threshold on a variance, an age on a stalled request, a level on an inventory position. The runtime surfaces those against live data with the underlying records attached, rather than waiting for someone to look during review.
Can different people see different numbers?
Yes, and that is correct. Access follows the permissions of the connected credential and the workspace, so a reporting surface never exposes records a viewer is not entitled to see.
Where should we start?
The single most expensive report you currently assemble by hand. Rebuild it against live data, run it in parallel for one cycle to prove the figures match, and measure the assembly hours removed.
What if our numbers do not match after connecting?
That is a finding, not a failure, and it is better discovered during a parallel run than during a board meeting. A mismatch usually means two systems define the same concept differently. Resolving which definition is authoritative is a business decision that was going to be needed eventually.
Does this create audit problems?
It generally reduces them. Assembly steps that currently happen in a spreadsheet with no record become traceable, and every figure keeps a path back to the system that produced it. The controls that matter — segregation of duties, approval authority, statutory requirements — remain exactly where they were.
Start with ARIA
Ask ARIA to run ai operator for finance and operations.
Describe the outcome you need here. ARIA determines the capabilities, systems, data, and workflows the job requires, then executes it inside the permissions you set.
- 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.
Use case
Build the report on the systems that hold the numbers.
Connect what finance and operations already run on, describe the view you need, and validate it against the source before it replaces the manual version.