AI OCR for multi-location operations
- 20K+
- transactions processed in one day during testing
- 40+
- locations connected during beta
RPA in Finance and Accounting Automation
RPA in finance for the legacy steps your ERP cannot automate.
Finance RPA uses software bots to handle stable, repetitive work across spreadsheets, portals, and accounting systems when a clean API route is not available. We build controlled bots for reconciliation support, posting, report assembly, and other rules-based tasks, with exception queues and audit logs from the start.
Bring the problem, the current workflow, or the existing code. We reply with a practical next step within one business day.
Evidence and scope
8 to 12 weeks
Focused first release
One stable finance task, exception queue, and audit log.
$20K
Starting scope
Bot, test environment, controls, deployment, and monitoring.
Human review
Automation boundary
Bots run rules; finance retains approvals and judgment.
Evidence · planning contextSee the work
The brief
Start with what is not working.
Good software decisions begin with the constraint, not a list of features or a preferred technology.
01
Is your finance team copying the same structured data between stable systems every close or reporting cycle?
02
Do manual portal and desktop steps slow reconciliation while leaving weak evidence for reviewers?
Plain answer
RPA in finance uses software bots for stable, rules-based tasks across legacy apps, portals, and spreadsheets when APIs are impractical. RaftLabs builds controlled bots with human review, audit logs, credential security, and monitoring. A focused process starts at $20,000 and takes 8 to 12 weeks.
The close still depends on a person replaying last month's clicks.
A finance analyst downloads a file, cleans two columns, signs into a portal, posts each record, and saves screenshots for review. The work follows the same rules every cycle, but the systems do not expose a practical connection.
That is where RPA can help. The bot follows the defined path and records what happened. Finance still owns approval, policy, and exceptions.
Delivery record
- 4.9/5
- average client rating
- Clutch, verified reviews
- 100+
- software products shipped
- RaftLabs delivery record
- 8 weeks
- post-launch support included
- Every RaftLabs engagement
Finance RPA is a fit when the work is stable but the systems are closed.
If the left side describes your process, a bot may be justified. If the right side is closer, improve the process or use an API first.
A fit
01
A high-volume finance task repeats through the same screens, files, and business rules each cycle.
02
The application has no supported API that covers the required action, or replacement is not currently practical.
03
Finance can define approvals, exception owners, access controls, and the evidence reviewers require.
Not a fit
01
The screens, inputs, or finance policy change frequently.
02
A supported API or native ERP workflow can complete the task reliably.
03
The process requires subjective accounting judgment on most transactions.
Scope
Finance tasks RPA can support
- 01Reconciliation preparationBots can collect approved statement and ledger files, normalise defined fields, apply deterministic matching rules, and prepare unmatched items for review. Finance approves the reconciliation and owns any judgment about material differences.
- 02Controlled posting and data entryA bot can enter approved records into a stable ERP or accounting interface, verify the returned status, and stop when required data or permissions are missing. The audit log links each source record to the attempted system step, its time, and its outcome.
- 03Close and reporting supportScheduled bots can gather recurring files, run defined application steps, update task status, and assemble reporting inputs. Dependencies and failed steps remain visible so automation does not create a false sense that the close is complete.
- 04Exception queues and controlsEvery out-of-policy value, changed screen, duplicate, timeout, or partial transaction needs a safe stop and a named reviewer. Credential storage, access boundaries, approvals, and retained evidence are part of the build scope.
RPA should be the fallback integration method, not the first assumption
API integration vs finance RPA
| Supported API | RPA bot | |
|---|---|---|
| Interface | Machine-readable contract | User interface, files, and screen state |
| Change risk | Usually versioned and documented | Screen and workflow changes can break the bot |
| Controls | System permissions and service credentials | Bot identity, vaulting, session controls, and action evidence |
| Best fit | The application exposes required actions | A stable legacy task has no practical API |
| Maintenance | Monitor errors and API changes | Monitor both business failures and interface changes |
We check the API route first. A bot earns its place when it unlocks a valuable, stable process that would otherwise remain manual.
Rollout
A controlled finance RPA rollout
Start with one stable process and treat failure handling as part of the product.
- Phase 101
Select a stable process
Baseline one repetitive task and confirm that inputs, rules, screens, volume, and exception owners are stable enough to automate. If the policy is still moving, we do not encode it.
- Phase 202
Define controls and evidence
Agree credentials, approvals, segregation of duties, audit events, data retention, and the conditions that must stop the bot. Finance and audit owners review the design.
- Phase 303
Build and test the bot
Automate the normal path and test changed screens, missing files, duplicate inputs, timeouts, permission errors, and partial transactions in the agreed environment.
- Phase 404
Run in parallel and monitor
Compare bot output with the current process before cutover. After launch, track failures, retries, manual interventions, and application changes with a named operational owner.
Where finance RPA usually fails
- The bot automates an unstable screen
- A small interface change can move or rename a control. We isolate selectors where possible, detect unexpected states, and stop safely instead of letting the bot continue blindly.
- Credentials become a shared secret
- Bots need named identities, least privilege, protected credential storage, rotation, and access review. A convenient login is not an acceptable control design.
- The happy path ignores partial transactions
- A record can be created in one system and fail in the next. Recovery rules must identify what completed, prevent duplicates, and route the remaining work with context.
- Automation evidence does not match audit needs
- Technical logs are not automatically control evidence. Finance and audit owners must agree which inputs, approvals, actions, outputs, and overrides need to be retained.
Proof
Adjacent proof: high-volume extraction
That case proves RaftLabs has shipped high-volume document extraction and transaction processing. It was not a finance RPA engagement, so we present it as adjacent technical evidence rather than a finance outcome.
Scope and price
A focused finance RPA process starts at $20,000.
Begin with one stable task, one controlled bot identity, the required audit events, and an exception path finance can operate.
Larger programmes grow with applications, environments, process variants, controls, reporting obligations, and exception volume.
Starting investment
Starts at $20,000
A focused first process usually takes 8 to 12 weeks. Scope, timeline, and price are agreed before development starts.
Fixed-price phase
Once the first finance process and its control boundaries are scoped, the price is locked in writing. Changes are priced and agreed before they enter the work.
Post-launch support
Eight weeks of post-launch support are included, with bot failures, application changes, and the critical transaction path monitored before handoff.
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Read moreFinance RPA questions
Finance RPA uses software bots to repeat defined user actions across desktop applications, web portals, spreadsheets, and finance systems. It is most useful for stable, high-volume work where the rules are clear and supported APIs are missing or impractical.
Invoice processing automation focuses on capturing, extracting, validating, matching, and posting invoices. Finance RPA is an integration method for operating legacy screens and files. A finance process may use both, but they solve different parts of the problem.
Prefer a supported API when it provides the required data and actions reliably. Use RPA when the business value is clear but a stable application exposes no practical interface. UI bots carry more maintenance risk because screen and workflow changes can break them.
The bot logs the records it read, rules applied, actions attempted, outcomes, and manual overrides. Approval and segregation-of-duties requirements remain explicit human or system gates. The exact evidence must be agreed with your finance and audit owners during discovery.
A focused first process starts at $20,000 and usually takes 8 to 12 weeks. Application count, screen stability, environments, credentials, control evidence, exception paths, and transaction volume affect scope. The phase price is fixed before development begins.
Work with us
Show us the finance task that still depends on clicks and copy-paste.
We will assess whether RPA is justified, whether an API is safer, and what controls a first process needs.
- Scope and cost agreed before work starts. No surprises. No obligation.
- Working prototype within 3 weeks of kickoff.
- Pay by milestone. You see progress before each invoice.
- 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
- All conversations are NDA-protected.