Finance automation services that keeps the controls your auditors expect
Our finance automation services support accounts payable, reconciliation and reporting. We define permissions, segregation of duties, review gates and audit trails before automating steps in the workflow.
AI finance automation applies language and vision models to finance operations: extracting data from invoices and statements, performing three-way matching, reconciling accounts, flagging anomalies and generating reporting commentary. Properly designed, it preserves segregation of duties, approval thresholds and audit trails rather than bypassing them.
Close takes two weeks and nobody knows why until it does not finish
Month-end close is a sequence of manual reconciliations, chased approvals and spreadsheet assembly. Each individual step is small; the queue time between them is what makes close take two weeks.
Accounts payable has the same shape: invoices matched by hand against purchase orders and receipts, with discrepancies caught late or not at all.
Automate the matching, keep the approvals
Extraction, matching and reconciliation are mechanical and automate well. Anomalies and exceptions are surfaced with the supporting evidence attached, so a person reviews rather than searches.
Approvals, journal postings above threshold and anything requiring judgement stay human, with the segregation of duties your control environment requires enforced by the system rather than by convention.
Finance automation services: scope and deliverables
Accounts payable is usually the first and clearest win: invoice extraction regardless of supplier format, three-way matching against purchase orders and receipts, and automatic posting of clean invoices with exceptions routed for review.
Reconciliation is the second: bank, intercompany and subledger reconciliation performed continuously rather than in a month-end crush, with unmatched items surfaced as they arise.
Reporting and commentary is the third: variance analysis and narrative explanation drafted from the underlying data, reviewed by the controller rather than written from scratch.
Throughout, the control environment is designed first. Automation that removes segregation of duties creates an audit finding regardless of how much time it saves.
- Invoice extraction and three-way matching across varied supplier formats
- Continuous reconciliation with exceptions surfaced as they arise
- Anomaly detection on transactions, coding and vendor behaviour
- Variance analysis and reporting commentary drafted from actual data
- Approval workflows with thresholds and segregation of duties enforced
- Complete audit trail on every automated action and its inputs
Finance teams this suits
Teams where close consistently takes longer than target and the cause is queue time and manual reconciliation rather than genuine complexity.
And accounts payable functions processing significant invoice volume across many suppliers, where template-based capture has never covered the long tail.
- Finance teams whose close takes longer than target consistently
- AP functions processing over 300 invoices monthly across many suppliers
- Organizations reconciling multiple bank accounts or entities manually
- Companies where discrepancies are found late in the cycle or not at all
- Finance teams assembling reporting commentary manually each period
- Businesses that have received audit findings on manual control weaknesses
Benefits of finance automation
Faster close
Continuous reconciliation removes the month-end crush, and most of the gain is queue time rather than task time.
Discrepancies found early
Matching exceptions surfaced at receipt rather than during reconciliation, when correction is cheap.
Controls preserved
Segregation of duties and approval thresholds enforced by the system, which is stronger than by convention.
Audit trail as a by-product
Every automated action logged with its inputs, so audit evidence is continuous rather than assembled under deadline.
AP coverage across the long tail
Suppliers no template ever covered handled from their first invoice.
Commentary drafted, not written
Variance narratives produced from actual data for the controller to review rather than compose.
Business challenges this solves
Close taking too long
Sequential manual reconciliation. Continuous processing removes the month-end concentration.
Invoice matching by hand
AP staff comparing documents manually. Automated three-way matching handles the routine majority.
Discrepancies found at reconciliation
Errors surfacing weeks after the transaction. Validation at receipt catches them immediately.
Audit findings on manual controls
Weaknesses in manual processes. System-enforced controls with logging address them directly.
Commentary written from scratch
Controllers composing variance narratives monthly. Drafting from data leaves review rather than writing.
Supplier long tail still manual
Template capture covering only major suppliers. Template-free extraction covers everyone.
Features and deliverables
Everything below is in scope on a standard engagement. Nothing here is an upsell discovered halfway through the build.
Invoice extraction
Template-free capture of header and line-item data across any supplier format, including scans and email attachments.
Three-way matching
Automated matching against purchase orders and goods receipts with configurable tolerance thresholds.
Continuous reconciliation
Bank, intercompany and subledger reconciliation performed as transactions arrive rather than at period end.
Anomaly detection
Unusual amounts, duplicate payments, coding inconsistencies and vendor behaviour changes flagged for review.
Approval workflow
Threshold-based routing with delegation, escalation and enforced segregation of duties.
Reporting commentary
Variance analysis and narrative explanation drafted from underlying data for controller review.
Audit trail
Complete logging of every automated action, its inputs, confidence and outcome, exportable for audit.
ERP integration
Direct posting into NetSuite, SAP, Microsoft Dynamics, Sage, QuickBooks or your existing finance system.
Technologies we use for finance automation
We are not tied to one vendor. Model and infrastructure choices are made on accuracy, cost per task, latency, and where your data is allowed to live.
Our AI development process
The same five stages on every engagement, so you always know what happens next and what you get at the end of it.
Discovery
We interview the people doing the work, map the workflow end to end, and audit the systems and data behind it.
AI Strategy
Every opportunity gets scored on cost to build, time to value, and annual savings, then ranked.
Pilot Build
We ship the top-ranked automation as a fixed-scope pilot so you see real output before committing further budget.
Implementation
Integration with your live systems, staff training, human-in-the-loop review gates, and a documented rollback path.
Optimization
Monthly accuracy reviews, prompt and retrieval tuning, and a written report on hours and dollars saved.
How long it takes
A typical first engagement, week by week. Complex integrations and regulated environments extend this, and we say so during discovery rather than after.
Discovery and scoping
Process observation, systems audit, data review, and a written estimate of cost and expected saving before anything is built.
Design sign-off
Architecture, data handling rules, review thresholds and success measures agreed in writing.
Build and integration
Development against your real data, connected to your live systems, with weekly demos rather than a single reveal.
Parallel run and testing
The system runs alongside the existing process so accuracy can be compared directly before anyone depends on it.
Launch and handover
Cutover with a rollback path, staff training, full documentation, then 30 days of included tuning.
Industries we deliver finance automation for
Financial Services
Document extraction, reconciliation, KYC support, and audit-ready reporting with full traceability.
Manufacturing
Quality inspection, maintenance prediction, supplier communication, and production scheduling.
Logistics & Supply Chain
Document processing, carrier communication, exception handling, and inventory rebalancing.
Retail & E-commerce
Product data enrichment, demand forecasting, support deflection, and personalized merchandising.
Professional Services
Proposal drafting, timesheet capture, research synthesis, and client reporting at scale.
Healthcare
Intake, prior authorization, clinical documentation, and revenue-cycle workflows built to respect HIPAA boundaries.
Construction
Bid takeoffs, submittal review, RFI drafting, and field-report summarization.
Insurance
First-notice-of-loss intake, claims triage, policy Q&A, and fraud signal detection.
Real-world use cases
Accounts payable automation
Invoice capture, matching and posting with exceptions routed and full audit trail retained.
Bank reconciliation
Continuous matching of bank transactions against ledger entries with unmatched items surfaced daily.
Intercompany reconciliation
Cross-entity matching and elimination with differences identified and explained automatically.
Expense report review
Receipt extraction, policy compliance checking and anomaly flagging before approver review.
Month-end commentary
Variance analysis and narrative drafted from actuals against budget for controller review.
Duplicate payment prevention
Detection of duplicate invoices across suppliers, formats and reference variations before payment.
Why choose DevSolutionsAI for finance automation
Business case before build
Every recommendation carries an estimated cost, timeline, and annual savings figure. If the math does not work, we say so before you spend.
Vendor-neutral by design
We resell nothing and take no platform commissions. Model and infrastructure choices are made on fit, cost, and your data-residency rules.
Fixed-scope pilots
The first engagement is a defined deliverable at a defined price, not an open-ended retainer that quietly grows each quarter.
Built for handover
You own the code, the prompts, the infrastructure, and the documentation. No lock-in to a proprietary wrapper you cannot leave.
Human-in-the-loop where it counts
Anything customer-facing, clinical, financial, or legal gets a review gate, a confidence threshold, and a logged audit trail.
Security reviewed early
Data flow diagrams, retention rules, and access boundaries are agreed in week one, not retrofitted after your security team objects.
Find out what finance automation would cost you, before you commit to anything
Every engagement is quoted after a short discovery, so you get a fixed written price built around your actual volumes rather than a rate card that assumes someone else’s business.
The first call is thirty minutes and free. Bring one workflow. We will tell you what it is likely costing you each year, roughly what automating it would take, and whether we think it is worth doing at all.
- A written savings estimate before any paid work
- Fixed scope and fixed price, agreed up front
- Full ownership of everything we build for you
- An honest recommendation when the numbers do not work
Figures are internal measurements across recent engagements, reported to every client monthly in writing.
Illustrative project scenario
Cutting close from 12 days to 5 without weakening a single control
Challenge. A manufacturing group closed in twelve days across four entities. Analysis showed most elapsed time was queue time: waiting for reconciliations, chasing approvals, and assembling commentary. A prior automation proposal had been rejected by their auditors for weakening segregation of duties.
What we built. Control environment designed first with their auditors reviewing the approach before build. Continuous bank and intercompany reconciliation replacing period-end batches, template-free invoice extraction with three-way matching, threshold-based approval routing with enforced segregation, and drafted variance commentary. Every automated action logged with inputs and outcome.
Outcome. Close moved from twelve days to five. The external auditors accepted the control environment without qualification, noting the audit trail was stronger than the manual process it replaced. AP exception rate fell as discrepancies were caught at receipt rather than at reconciliation.
Illustrative project scenario. The figures demonstrate how a project could be scoped and evaluated; they are not verified client results or an audited average.
What clients say about working with us
Finance Automation FAQs
Will automation create problems with our auditors?
It will if it removes segregation of duties, which is the most common way finance automation fails audit. We design the control environment before automating and recommend involving your auditors early, on a recent engagement they reviewed the approach before build and subsequently noted the audit trail was stronger than the manual process it replaced. Automation that logs every action with its inputs is generally an improvement in evidence, not a weakening.
Does the system post journal entries automatically?
Only within thresholds you set, and never for anything requiring judgement. Clean invoices matching within tolerance can post automatically; anything outside tolerance, unusual, or above a value threshold routes for human approval. Approval authority and segregation of duties are enforced by the system, which is stronger than relying on process discipline.
How does it handle suppliers we have never received an invoice from?
Correctly, on the first one. Template-free extraction reads documents by understanding their content rather than matching coordinates, so a new supplier needs no setup and an existing supplier redesigning their invoice does not break anything. This is usually where the majority of remaining manual AP effort sits.
Can it integrate with our ERP?
Yes, NetSuite, SAP, Microsoft Dynamics, Sage Intacct, QuickBooks and most others through their APIs, or through file-based interfaces for older systems. We post into your existing finance system rather than requiring migration.
What about duplicate payments?
Detection runs across suppliers, formats and reference variations, which catches duplicates that exact matching misses, the same invoice submitted twice with a slightly different reference, or received both by email and by post. For most clients this is one of the more immediately quantifiable returns.
What does finance automation cost?
An AP automation implementation typically runs $35,000 to $70,000 depending on supplier volume, ERP integration complexity and control requirements. Adding continuous reconciliation and reporting commentary increases that. For AP functions above roughly 500 invoices monthly, payback is commonly four to eight months before counting recovered duplicate payments.
Services that pair well with this one
Most clients combine two or three of these. We will tell you the right sequence during discovery.
Ready to scope your finance automation project?
Book a free 30-minute consultation. Bring one workflow and leave with a realistic estimate of what it would cost to automate and what it would save.