What if 70% of your collections happened automatically—without human chasing?
Explore our AI agents—prioritization, dunning, follow-ups, dispute management, and ERP updates—turning outstanding receivables into collected cash automatically.
THE PROBLEM
Collections teams struggle with high DSO driven by manual, fragmented, and labor-intensive follow-ups, delayed dispute resolution, and limited visibility. This results in poor cash-flow forecasting and customer dissatisfaction, despite significant effort from finance teams.
Higher Days Sales Outstanding
Customer dissatisfaction
Manual and fragmented follow-ups
Poor cash-flow forecasting
Delays in dispute resolution
Labor-intensive collection processes
THE SOLUTION
Hyperbots Collections Co-Pilot autonomously orchestrates the entire collections lifecycle, using finance-trained AI agents for dynamic prioritization, dunning, follow-ups (email and phone), dispute detection, promise-to-pay management, and ERP updates—significantly reducing DSO, manual effort, and improving cash-flow predictability.
KEY BENEFITS
Hyperbots Collections Co-Pilot improves collections productivity by up to 80% and reduces DSO through real-time automated dynamic prioritization and follow-ups powered by AI agents.
40%
DSO
70%
Cost to Collect
Cash In Flow
Dispute Rate
AR Ageing
Average Days Delinquent
Key Functional Capabilities of Hyperbots Collections Co-Pilot
Multi-Entity Support
Built-in tracking of DSO, ADD, CEI, dispute cycle time, PTP success rate, forecast accuracy, and productivity gains.
GL Posting
Built-in tracking of DSO, ADD, CEI, dispute cycle time, PTP success rate, forecast accuracy, and productivity gains.
Custom Fields Support
Built-in tracking of DSO, ADD, CEI, dispute cycle time, PTP success rate, forecast accuracy, and productivity gains.
GL Coding
Built-in tracking of DSO, ADD, CEI, dispute cycle time, PTP success rate, forecast accuracy, and productivity gains.
Recommenders
Built-in tracking of DSO, ADD, CEI, dispute cycle time, PTP success rate, forecast accuracy, and productivity gains.
KPIs & Outcome Tracking
Built-in tracking of DSO, ADD, CEI, dispute cycle time, PTP success rate, forecast accuracy, and productivity gains.
Auditability & Compliance Trail
Complete, time-stamped record of every action, communication, workflow step, decision, and AI recommendation.
Customer Portal
Self-service portal for customers to view invoices, make payments, raise disputes, submit PTPs, and track resolution status.
Pre-Trained AI Models
Finance-trained models for payment behavior prediction, dispute likelihood, prioritization, and dunning optimization—no model training required.
Flexible Workflow Configuration
Configurable, rule-based workflows for follow-ups, approvals, escalations, dispute handling, and write-offs—without custom code.
Notifications & Alerts
Real-time, role-based notifications for overdue invoices, broken PTPs, dispute updates, and escalations across finance, sales, and credit teams.
Closed-Loop ERP Posting
Automatically updates ERP with collection actions, notes, dispute status, PTPs, and resolution outcomes—no manual logging.
Sales & Credit Policy Alignment
Signals delinquency risk to sales and credit teams; enforces hold, release, or escalation policies automatically.
Customer-Aware Collection Strategy
Differentiates approach by customer segment (strategic, repeat late payer, low risk, high risk) to protect relationships while accelerating cash.
Cash Collection Forecasting
Predicts expected cash inflows by customer, week, and month using behavioral and historical patterns—not static aging.
AI-Orchestrated Automated Dunning
Automates pre-due and post-due reminders using real-time customer behavior, risk, and dispute context.
Promise-to-Pay (PTP) Management
Captures, tracks, and enforces PTP commitments with automated reminders and breach escalation.
Early Dispute Detection & Routing
Identifies dispute signals before due date (price, quantity, tax, PO mismatch) and routes them to the right owner (billing, sales, tax, ops).
Autonomous Follow-Up Agents
AI agents automatically execute personalized email and portal follow-ups, reminders, escalations, and nudges—without manual intervention.
AI-Driven Dynamic Prioritization
Continuously reprioritizes collection actions based on payment behavior, invoice risk, dispute likelihood, customer value, and aging impact on DSO.
Unified AR Intelligence Layer
Single, real-time view of invoices, aging, disputes, credits, payments, promises-to-pay, and customer communication across ERPs and entities.
Key General Capabilities of Hyperbots Vendor Management AI Co-pilot
Unlimited access
Enjoy unlimited user access with no per-seat licensing—enabling seamless collaboration and effortless scalability across your organization.
Industry specific
Hyperbots provides industry-specific finance AI with customizable workflows, document handling, and tax validation—ensuring accurate, compliant processing tailored to sector-specific needs across industries like manufacturing, retail, healthcare, logistics, and more.
Company specific
Hyperbots enables no-code customization for company-specific needs—adapting workflows, ERP integrations, GL structures, and business rules through Agentic AI to ensure seamless alignment with organizational processes and finance operations.
Integrations
Hyperbots integrates seamlessly with ERPs, procurement platforms, and other enterprise systems—enabling real-time, secure, and scalable data exchange to power end-to-end AI automation across finance and operations
24X7
Hyperbots Co-pilots run 24x7—automating invoice workflows, monitoring tasks, and alerting humans only when needed. This ensures uninterrupted operations, faster turnaround, and continuous productivity across finance and procurement teams.
Human-in-the-loop
Hyperbots Co-pilots enable human-in-the-loop collaboration through exception handling, approval workflows, and contextual insights—ensuring control, transparency, and continuous learning where human judgment adds value.
Process specific
Powered by Agentic AI, Hyperbots Co-pilots deliver process-specific automation through domain-trained models and collaborative agents—ensuring scalability, precision, and efficiency across finance operations like invoicing, approvals, and GL coding.
Self learning
Hyperbots Co-pilots use self-learning AI to adapt to company-specific workflows, improve accuracy over time, and continuously align with changing business rules, exceptions, and process variations—driving smarter automation with every interaction.
Intelligence elements
Built on the Agentic AI platform, Hyperbots Co-pilots combine OCR, LLMs, VLMs, MOE, reasoning, redaction, math interpretation, and predictive engines to deliver intelligent, efficient automation across complex finance workflows.
Functional elements
Hyperbots Co-pilots offer functional elements like workflows, notifications, security, analytics, SSO, audit trails, user portals, permissions, and observability—ensuring secure, configurable, and auditable operations across teams and systems.
AI-native
Hyperbots Co-pilots are AI-native by design—built from the ground up for finance automation, delivering purpose-built precision, transformative productivity, and measurable value across accounting, invoicing, and approval workflows.
Process before and after Hyperbots Collections Co-Pilot
Tasks
Before (No Automation)
After (Automation with other players)
After (Hyperbots Co-pilot)
Pulling invoices and reciebales data from ERP
Done by Human
Done by APIs
& Files
Done by APIs
Worklist Creation
Done by Human
Done by Human
& Software
Done by AI
Worklist priortization
Done by Human
Done using Rules
Done by AI
Email creations
Done by Human
Done by Human
Done by AI
Email followups
Done by Human
Done by Human
& Software
Done by AI
& Human
Calling
Done by Human
Done by Human
Done by AI
& Human
Dunning
Done by Human
Done using Rules
Done by AI
Collections Forecasting
Done by Human
Done by Human
& Software
Done by AI
& Human
Dispute resolutions
Done by Human
Done by Human
Done by AI
& Human
Esclation Management
Done by Human
Done by Human
Done by Human
ERP writing
Done by Human
Done by APIs
& Files
Done by APIs
Tasks Automation %
0-10%
<30%
>70%
Comparison with Competition
Tasks
Competition
Hyperbots
Cost to collect - reduction
20%-40%
50%-80%
DSO
15%-20%
30%-40%
Unified AR Intelligence Layer
Partially Automated
Fully Automated
Dunning
Partially Automated
Fully Automated
Autonomous Followup AI agents
No
Yes
Notification and Alerts
Basic
Advanced
ERP updates
Partially Automated
Fully Automated
FAQs: Collection Copilot
Is the Collections Co-Pilot ready to deploy in enterprise environments?
Absolutely. It is AI-native, finance-specific, pre-trained, supports human-in-the-loop controls, offers full audit trails, works 24×7, and is designed for large-scale, multi-entity enterprise deployments with minimal training required.
Does the platform support customer self-service?
Yes. Hyperbots provides a Customer Portal where customers can view invoices, make payments, raise disputes, submit promises-to-pay, and track resolution status—reducing back-and-forth and improving customer experience.
How does Hyperbots integrate with ERPs and GL systems?
The Collections Co-Pilot supports closed-loop ERP integration, automated GL coding and posting, custom fields, and multi-entity environments—ensuring all collection actions, notes, disputes, and outcomes are written back to the ERP without manual effort.
Can the Collections Co-Pilot forecast cash collections accurately?
Yes. It predicts expected cash inflows by customer, week, and month using historical payment behavior and real-time signals—providing far more accurate forecasts than static aging reports.
What is AI-orchestrated dunning in Hyperbots?
AI-orchestrated dunning automates pre-due and post-due reminders using real-time customer behavior, risk, and dispute context, dynamically adjusting timing, tone, and escalation to accelerate payments while protecting customer relationships.
How does the Collections Co-Pilot handle disputes?
The platform detects dispute signals early, even before invoice due dates, classifies them (price, quantity, tax, PO mismatch), and automatically routes them to the correct owner—reducing aging caused by unresolved disputes.
How is Hyperbots different from traditional collections automation tools?
Unlike rule-based tools, Hyperbots uses finance-trained, agentic AI that continuously learns, reprioritizes work in real time, adapts dunning strategies dynamically, and executes actions autonomously—without relying on static rules or templates.
How much productivity improvement can companies expect?
Customers typically achieve up to 80% improvement in collections productivity, with more than 70% of collection tasks automated, significantly reducing manual effort across emails, follow-ups, forecasting, and ERP updates.
How does the Collections Co-Pilot help reduce Days Sales Outstanding (DSO)?
It reduces DSO through AI-driven dynamic prioritization, autonomous follow-ups, and behavior-based dunning, ensuring the right action is taken on the right invoice at the right time—without manual intervention.
What problems does the Hyperbots Collections Co-Pilot solve?
Hyperbots Collections Co-Pilot addresses high DSO, labor-intensive collections, fragmented follow-ups, poor cash-flow forecasting, customer dissatisfaction, and delays in dispute resolution by autonomously orchestrating the end-to-end collections process.
Why Hyperbots Agentic AI Platform?
Finance specific
Hyperbots Agentic AI platform specializes exclusively in finance and accounting intelligence, leveraging millions of data points from invoices, statements, contracts, and other financial documents. No other platform has such large pretrained models on F&A data.
Best-in-class accuracy
Hyperbots achieves 99.8% accuracy in converting unstructured data to structured fields through a multimodal MOE model integrating LLMs, VLMs, and layout models. With contextual validation and augmentations, the platform ensures 100% accuracy for deployed agents.
Synthesis of unstructured and strutured finance data
Hyperbots agents emulate finance professionals to autonomously perform F&A tasks by reading and writing data like COA, expenses, and vendor masters from core accounting systems and integrating it with unstructured data from financial documents such as invoices, POs, and contracts.
Pre-trained agents with state of the art models
Hyperbots' Agentic platform, pre-trained on millions of financial documents like invoices, bills, statements, and contracts, ensures seamless integration, high accuracy, and adaptability to any accounting content, form, layout, or size from day one.
Company specific inference time learning
Hyperbots' Agentic platform employs state-of-the-art Auto ML pipelines with techniques like reinforcement learning to enable inference-time learning for tasks such as GL recommendation and cash outflow forecasting, ensuring continuous improvement and adaptability.
Ready to take the next steps?
Book a demo with one of our Financial Technology Consultants to get started!