Finance integration guide
Ramp + UbiGrowth workflows
Ramp is a corporate card and spend management platform that owns transactions, policy controls, and approvals. This guide covers the records that matter, how the connection should be scoped, and what the first bounded workflow should be.
Introduction
Make Ramp part of the workflow, not another silo.
Validate connector availability for your workspace
This guide covers how a team designs a finance workflow around Ramp with UbiGrowth: which records stay authoritative, how the connection should be scoped, what the first bounded workflow should be, and how to tell whether it worked.
The records that matter are Card, Transaction, Reimbursement, Bill, User, Department, and Limit. Ramp models spend authority as Limits attached to users and departments rather than as a card, so the same physical card can sit under different limits over time and per-card analysis misses the control that actually applied.
Ramp is not currently on UbiVibe's verified connector list. This page is an implementation design reference: use it to specify the workflow, then validate whether the connection is available and correctly scoped for your workspace before you make it a dependency. The verified UbiVibe connections today are Salesforce, HubSpot, Gmail, Google Drive, Slack, and GitHub.
The platform layer is the usual destination for this connection, because the value shows up as governed context and execution shared across more than one team.
Why teams evaluate this connection
Integrations create value when they remove operating friction.
The first design decision is not which API endpoint to call; it is which system owns the record, what event should trigger work, who owns the exception path, and what successful completion means.
Finance integrations carry a different risk profile from the rest of the stack. A duplicated CRM record is annoying; a duplicated payment, a double-posted invoice, or an unauthorized write into Ramp is a real financial and control problem.
That is why most finance teams end up doing the work manually. The available automation is fast but cannot demonstrate what it did, and a number without a traceable basis is unusable in a function where everything has to be defensible.
You're likely here because
- Recurring finance analysis is mostly export, match, and reformat
- Approval trails live in email rather than in a system
- AI answers cannot be traced back to a source anyone will accept
Record model
What a Ramp integration actually reads and writes.
Integration design starts from the objects the system really exposes, not from a generic connector diagram. These are Ramp's.
Identity and matching
Ramp models spend authority as Limits attached to users and departments rather than as a card, so the same physical card can sit under different limits over time and per-card analysis misses the control that actually applied.
Start here
Read transactions that breached or approached a Limit and route the context to the department owner before the next cycle.
What this will not do
It will not replace the approval workflow. Ramp's controls run at the point of spend; the integration operates on what those controls let through.
The constraint to plan around
Accounting field mapping is configured against the connected ledger, and transactions exported before mapping is complete land in a suspense state that has to be cleared manually.
Build notes
What you actually have to reason about in Ramp.
The fields that carry meaning, how the connection authenticates, and whether the event surface can be trusted. This is the part that decides whether the integration works in month three.
| Field | Why it matters |
|---|---|
| limit id | spend authority attaches to limits rather than cards, so per-card analysis misses the control |
| transaction state | pending, cleared, or declined, with declines being the useful policy signal |
| accounting field mapping | unmapped transactions land in suspense and must be cleared by hand |
| department / location id | the attribution dimensions for spend reporting |
| user id | the cardholder, and the routing target for receipt and coding requests |
Authentication
OAuth with granular scopes per resource, and client credentials for server-to-server. Read scopes are sufficient for reporting workflows and should be the default.
Events and delivery
Webhooks cover transaction and card events. Because accounting sync state changes after the transaction, a reconciliation pass is still required.
Workflow
How the Ramp workflow runs.
The operating sequence, from reading the source system through to the result landing back where it belongs.
Step 01
Read the source records
Connected Ramp records replace the recurring export step, so the analysis starts from current data.
Step 02
Match and reconcile
Records are matched against the other systems involved, and anything that does not match becomes an explicit exception rather than a silent adjustment.
Step 03
Present the working queue
Exceptions and items needing attention are presented with owners, so the review is a queue rather than a highlighted spreadsheet.
Step 04
Stage the action for approval
Where an action is required, it is prepared with its supporting records and held for explicit human authorization.
Design decisions
The finance decisions this connection forces.
Each of these has to be settled before the Ramp workflow is allowed to write anything.
Step 01
Start read-only and stay there longer than feels necessary
Read access to Ramp delivers most of the reporting and reconciliation value with none of the write risk. Add write paths only when a specific, bounded workflow requires them.
Step 02
Keep authorization human
Anything that moves money, changes billing state, or affects a closed period requires an explicit human authorization step that is recorded, not inferred.
Implementation path
How to implement the Ramp workflow.
- 01
Define the data boundary: which Ramp records the workflow may read, and what is explicitly out of scope.
- 02
Start with a reporting or reconciliation workflow you already produce manually, so the output can be checked against a known-good answer.
- 03
Reconcile the connected output against the last two closed periods before anyone relies on it.
- 04
After limit-breach routing works, add budget-versus-actual by department so the conversation is planning rather than policing.
Governance
Controls that matter.
Control 01
Payment, billing, and period-affecting actions require explicit human authorization; automation prepares, people approve.
Control 02
Credentials are least-privilege and reviewed, with read and write scopes separated wherever the platform allows it.
Control 03
Every automated action leaves a record that can be reconciled against the source system.
Failure modes
How a Ramp integration breaks in production.
Not generic integration advice. These follow from how this system actually behaves, which is why they look nothing like the list on the next guide over.
Symptom 01
Transactions sit in an accounting suspense state.
Cause
They were exported before field mapping was complete.
Fix
Verify mapping completeness before enabling export, and report unmapped transactions as a queue.
Symptom 02
A card is declined at the point of purchase after an automated change.
Cause
A limit was tightened based on stale data.
Fix
Make limit changes reviewed rather than automatic, and never tighten on data older than the current cycle.
Symptom 03
Spend by department does not reconcile.
Cause
Spend authority attaches to limits rather than cards, and analysis was per card.
Fix
Analyse by limit and department, which is how the controls actually work.
What changes at scale
Transaction volume scales with headcount. Webhook-driven capture plus a periodic reconciliation pass handles the fact that accounting sync state changes after the transaction.
Examples
What a working Ramp workflow looks like.
Bounded scenarios rather than a feature list. Each one can be verified against work the team already does.
Spend controls
With Ramp connected read-only, the recurring view is assembled from live records rather than a fresh set of exports each cycle.
Reconciliation exception queue
Unmatched or unexpected items from Ramp become a working queue with owners, instead of highlighted rows in a spreadsheet emailed around the team.
Limitations and considerations
What to validate before you depend on this.
- Accounting field mapping is configured against the connected ledger, and transactions exported before mapping is complete land in a suspense state that has to be cleared manually.
- Limit changes take effect immediately and can decline a card at the point of purchase. An automation tightening limits based on stale data blocks legitimate spend in real time.
- When Ramp's own controls already handle it. The platform enforces policy at the point of spend, and the integration should work on what those controls surface rather than duplicating them.
- Nothing produced here is accounting, tax, or audit advice, and no output should be treated as a professional opinion.
- Write access to Ramp carries real financial risk. Duplicate protection, idempotency, and an approval step are requirements rather than refinements.
FAQ
Ramp integration questions.
What records does a Ramp integration actually work with?
The primary records are Card, Transaction, Reimbursement, Bill, User, Department, and Limit. Ramp models spend authority as Limits attached to users and departments rather than as a card, so the same physical card can sit under different limits over time and per-card analysis misses the control that actually applied.
What should the first Ramp workflow be?
Read transactions that breached or approached a Limit and route the context to the department owner before the next cycle.
What will a Ramp integration not do?
It will not replace the approval workflow. Ramp's controls run at the point of spend; the integration operates on what those controls let through.
What is the main constraint to plan around?
Accounting field mapping is configured against the connected ledger, and transactions exported before mapping is complete land in a suspense state that has to be cleared manually.
What changes about a Ramp integration at scale?
Transaction volume scales with headcount. Webhook-driven capture plus a periodic reconciliation pass handles the fact that accounting sync state changes after the transaction.
How does authentication work for Ramp?
OAuth with granular scopes per resource, and client credentials for server-to-server. Read scopes are sufficient for reporting workflows and should be the default.
Does Ramp support webhooks, and can they be trusted?
Webhooks cover transaction and card events. Because accounting sync state changes after the transaction, a reconciliation pass is still required.
What is the risk of writing to Ramp?
Limit changes take effect immediately and can decline a card at the point of purchase. An automation tightening limits based on stale data blocks legitimate spend in real time.
When is connecting Ramp the wrong call?
When Ramp's own controls already handle it. The platform enforces policy at the point of spend, and the integration should work on what those controls surface rather than duplicating them.
What should a Ramp integration automate first?
Start with one bounded workflow that removes a measurable handoff, duplicate-entry step, reporting delay, or follow-up gap. Expand only after the first workflow is reliable.
Does UbiGrowth require Ramp to be replaced?
No. The operating model is designed around connecting to systems that should remain authoritative and building workflows around them rather than forcing a wholesale replacement.
Is connector availability identical for every workspace?
No. Availability can depend on provider configuration, authentication, scopes, workspace setup, and deployment state. Validate the required connection before treating it as an operational dependency.
Can the workflow write into Ramp?
Only where a specific bounded workflow requires it, with duplicate protection and an explicit human approval step. Most of the value is available read-only.
Is the output auditable?
Execution state and results return to the product surface, and analysis is grounded in connected records rather than an uploaded file, so an answer can be checked against its source.
Is this a replacement for the accounting system?
No. Ramp stays authoritative. The workflow layer sits around it to remove the export, match, and reformat cycle.
How this access is governed
What ARIA is allowed to do in Ramp, and who decides.
Connecting Ramp is a permission decision, not just a setup step. These are the controls that decide what ARIA can reach, what it can change, what gets recorded, and how you take the access back.
Required permissions
ARIA works through the scopes the connection was granted, and no others. Authorization happens at the provider, so the permissions being requested are shown by the system itself before anything is connected.
What it can reach
Reachable systems are the intersection of what your organization approved in the connector registry and what the requesting identity is permitted to use. Identity resolves before execution, not after.
What it can do
Actions run through explicit execution paths with state, spend, and failure boundaries — a bounded worker path rather than an open-ended agent loop with a credential.
Credential handling
Credentials live in the governed connection layer and are resolved through canonical connection identity. They are not pasted into individual workflows, prompts, or generated artifacts.
Action logging
Execution carries state and traces: what triggered the work, which connection it used, and what came back — including an explicit failure when something did not run.
Approval and revocation
Consequential actions can be made to require a person to approve them. Access can be changed or revoked at the connection, and ARIA loses that reach without unpicking the work already completed.
Start with ARIA
Ask ARIA to run this integration.
Describe the outcome you need across this system. ARIA works out the scopes, data, and actions the job requires, and operates inside the access you grant — which you can change or revoke.
- 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
Turn the integration into a working business outcome.
Start with ARIA to describe the outcome, then continue into the product path that fits the workflow. Connector availability and required scopes should be validated for the specific workspace before production use.