The current platform processes short-pays from upload to rebill package. The next version goes further: it predicts which invoices will be disputed, automates the entire recovery workflow, and learns from every customer interaction.
Below is what we’re building. Every feature is designed around a single question: how do we reduce the time from detection to collection?
18
Features in development
Q3 '26
First major release
2,847
Companies on waitlist
100%
Backward compatible
Development Timeline
Each release builds on the last. By Q4 2027, you’ll have an end-to-end recovery platform that handles everything from prediction to collection.
The system analyzes past deductions by customer, product line, and claim type. When a new invoice is issued, it calculates a risk score based on historical patterns. High-risk invoices are flagged for proactive review.
Teams using the beta version report catching 67% of short-pays before they happen—allowing them to correct pricing errors or clarify terms with the customer before payment.
XGBoost classification model trained on 2.3M invoice-deduction pairs. Features include customer payment velocity, claim frequency by GL code, and contract amendment history.
Target Metrics
accuracy
92%
false Positives
<5%
processing Time
< 100ms per invoice
After you approve a deduction finding, Axiom generates a dispute letter tailored to the customer's portal format. It logs into the portal (using credentials you provide once), uploads supporting docs, and submits. You get a confirmation and tracking number.
Supports the top 40 AR portals used by Fortune 1000 companies, including proprietary systems at major retailers and distributors. Custom portal integration available for enterprise customers.
Configurable multi-step approval process. Set thresholds by dollar amount or customer tier. Each dispute includes a preview of exactly what will be submitted and where.
Target Metrics
portals Covered
40+
avg Submission Time
< 2 min
success Rate
98.4%
Live document editing, inline comments, task assignment, and approval workflows. All changes are tracked with full version history. Export complete audit trails for compliance.
Pull in data from your ERP, CRM, and contract management systems. Link disputes to related contracts, prior claims, and customer communications. Everything in one place.
Role-based access control at the workspace, folder, and document level. SSO support planned, designed against SOC 2 Type II access-control principles.
Target Metrics
max Concurrent Users
100+
latency
< 50ms
uptime S L A
99.9%
For each customer, the engine tracks: average days to pay, claim acceptance rate by dispute type, responsiveness to different evidence formats, and preferred communication channels.
When you're about to dispute a charge, the system recommends the approach most likely to succeed based on this customer's history. Example: 'This customer responds better to contract language than invoice-level proof.'
All data stays in your tenant. Models are trained per-customer using only your historical interactions. No cross-customer data sharing. Built to support GDPR and CCPA data-subject requests.
Target Metrics
data Points
200+ per customer
model Accuracy
89% (beta)
recommendation Lift
+34% acceptance rate
Recovery rate by customer segment, aging analysis of open disputes, team productivity metrics, and ROI tracking. All data can be filtered by time range, customer, product line, or dispute type.
Drag-and-drop interface to build reports tailored to your business. Export to Excel, PDF, or push directly to your BI tool via API.
Compare your recovery performance against anonymized industry averages (opt-in only). Identify where you're outperforming and where there's room for improvement.
Target Metrics
refresh Rate
Real-time
export Formats
5+
custom Metrics
Unlimited
Search, filter, generate reports, create disputes, assign tasks, and export data—all via natural language. The system understands context, so follow-up queries work as expected.
Hands-free operation for users who prefer voice input. Requires explicit opt-in and supports wake-word activation.
The system learns your terminology and workflow over time. If you always call a certain customer by a nickname, it will recognize that. Command accuracy improves with use.
Target Metrics
command Success
94% (beta)
avg Response Time
< 500ms
voice Accuracy
91% (beta)
Technology Stack
Every component is chosen for reliability, scalability, and maintainability. No experimental tech. No vendor lock-in.
Risk classification
Predicts short-pay probability with 92% accuracy across 127 features per invoice.
Deep learning models
Powers customer behavior profiling and dispute strategy optimization.
Feature engineering
Preprocessing pipelines for contract term extraction and deduction categorization.
On performance: The current platform processes 10,000 invoices per hour. The next version targets 50,000/hr with sub-second latency for interactive queries. We achieve this through aggressive caching, query optimization, and horizontal scaling of stateless services.
Interactive Demos
Step through real workflows. Each demo shows actual processing steps, timing, and decision logic.
Processing invoice #A-78392...
Customer: Acme Distribution
Amount: $127,482.00
Terms: Net 45, 2% 10 days
Development Philosophy
These principles guide every decision—from architecture choices to UI design to API contracts.
Every feature is designed with SOC 2 Type II, GDPR, and enterprise security requirements in mind.
Built to handle enterprise workloads without degradation. Sub-second response times even at peak load.
AR teams have enough complexity. We build interfaces that get out of the way and let you work.
New features never break existing workflows. Your data, exports, and integrations keep working.
“We’re building for AR teams that manage millions in receivables. That means no shortcuts on security, no guessing on performance, and no surprises on upgrade day.”— Engineering Team, Axiom
Early Access Program
Join 2,847 companies on the waitlist. Early access participants get beta features 3-6 months before general release, plus direct access to our product team for feedback and feature requests.
Current Program Status
Companies on waitlist
2,847
Beta participants
127
Features in beta
6
Avg feedback response time
< 24h
“The beta program gave us a 6-month head start. By the time features went GA, our team was already trained and our workflows were optimized.”
— AR Director, Fortune 500 Distributor