Finvi

What is Finvi?

Finvi is a provider of enterprise-level revenue recovery technologies; it was formerly known as Ontario Systems. It serves the healthcare sector, as well as organizations involved in accounts receivable management, government agencies, and financial institutions. Its products focus on collection workflows, healthcare revenue cycles, customer communication, payments, and compliance matters, rather than being general AI agents intended for individual use.

The various platforms under Finvi are designed for different markets, handle different types of data, and are subject to varying privacy regulations. When making purchases, it is necessary to specify the exact product, the scope of deployment, the country or region involved, as well as any industry-specific requirements; the capabilities or certifications of one product cannot be applied automatically to the entire product portfolio.

Main products

Velosidy’s AI capabilities

Best channels for debt collection

The system analyzes historical responses, channel preferences, and account characteristics to determine the most effective channel for obtaining a response, whether through phone calls, text messages, emails, or letters. The strategy is continuously optimized based on the account details, but organizations must still comply with rules regarding consent for communication, frequency of contact, and jurisdictional requirements.

Best time to call

The platform identifies, based on historical and real-time data, the time periods when an individual is more likely to answer calls or respond, and this information can be combined with probability scores related to repayment. These suggestions merely indicate an increased likelihood of a response; they do not guarantee that the consumer will indeed respond.

Repayment propensity score

AI predicts the likelihood of payment for each account and ranks them based on their recovery potential, thereby helping managers to allocate resources to those accounts with the best prospects. This scoring system should not be used to make discriminatory decisions without proper review, and it is necessary to continuously monitor for any shifts, biases, and issues related to its interpretability.

Recommended payment options

The system uses the organization’s own historical data to identify payment arrangements that are more suitable for similar consumers, and it suggests such plans to the staff. The final solution, however, still needs to take into account the consumer’s circumstances, the contract terms, affordability, and relevant regulations.

Intelligent agent queue

By taking into account factors such as the probability of comprehensive repayment within a queue, the time required for contact, and the channels used, the system assigns the most suitable accounts to the respective agents. Managers can select specific variables and monitor the resulting outcomes, thereby avoiding redundant and inefficient contacts that might arise from static lists.

Artiva HCx medical revenue cycle

Artiva HCx integrates patient, insurance, claims, and employee workflows into the medical RCM environment; it uses AI-based denial scoring and RPA to prioritize those accounts with a higher likelihood of being recovered. It can also be connected to eligibility and insurance verification services, thereby reducing the need for manual queries and data entry.

• Prioritize tasks based on the likelihood of recovery and business rules.
• Automatically performs qualification checks, data collection, adjustment of releases, and follow-up actions.
• View patient, payer, account, and employee performance in one place.
• Improve patients’ financial experience through digital communication and self-service payment.
• When dealing with medical and insurance information, it is necessary to confirm HIPAA as well as access and audit controls in accordance with the contract.

Katabat Bank and Debt Collection

Katabat is a cloud-based, omnichannel debt management platform designed for banks, lending institutions, and large enterprises; it supports communication via email, SMS, voice calls, printed materials, and other channels. Its built-in rule engine enables the setting of compliance rules specific to different legal jurisdictions, and it provides auditable records.

The product page lists standards such as PCI DSS, SOC 2, and GDPR, and indicates that the embedded Finvi Payments solution is currently available only in the United States. These details need to be reviewed again during the procurement process, taking into account the specific deployment requirements, the scope of reporting, and the contract terms.

Finvi Payments

Finvi Payments offers card and ACH payments, payment plans, settlement, reconciliation, as well as messaging, email, and portal-based communication services through its SwervePay platform. This platform manages the processes of underwriting, billing, pricing, and settlement, thereby helping organizations avoid the need to work with multiple suppliers.

• Consumers can view the amount due online, make payments, or set up payment arrangements.
• Payment activities can be written back to the collection workflow in real time, reducing the need for repeated contacts.
• The optional consumer payment plan allows for the recording of consumer authorization and separates the parties involved in the payment process.
• The fees, applicable regions, rules set by card organizations, and the legitimacy of any charges imposed on consumers need to be verified separately.
• The payment portal does not require the installation of a consumer app, but the specific login experience is determined by the organization.

Enterprise process implementation

1. Identify the business market, debt type, jurisdiction, account volume, and recovery targets.
2. Choose Velosidy, Artiva HCx, Katabat, Finvi Payments, or a combination of these options.
3. Audit core systems, data fields, recordings, channels, payments, and third-party integrations.
4. Confirm with Finvi the responsibilities regarding deployment, migration, APIs, SLAs, security, and compliance.
5. Clean and map the data, and verify identity, balance, consent, and status in the testing environment.
6. Set rules for the frequency of contact, disputes, discontinuation of contact, difficult customers, and manual approval.
7. Use historical samples to evaluate AI sorting, payment recommendations, and queue results.
8. Roll out in phases, while continuously monitoring complaints, deviations, recovery rates, and compliance incidents.

SwervePay API integration process

1. Obtain a customer account with Finvi Payments and apply to enable API access.
2. Generate a secure API key in the account’s backend, and place it in the key management system as soon as it is created.
3. Basic authentication is established using an account identifier, username, and password.
4. Test customer, account, transaction, and payment workflows in a non-production environment.
5. Handles duplicate requests, failed payments, refunds, cancellations, batch, and Webhook errors.
6. Avoid exposing authentication strings in logs, browsers, or client code.
7. When a key is leaked, a new key is generated and all dependent systems are updated accordingly.

Regenerating the API key will immediately render the old key invalid; therefore, it is necessary to prepare a plan for key rotation in advance. The public development platform provides payment capabilities for SwervePay, and this does not imply that all Finvi products use the same interface.

API and integration boundaries

Prices and Purchases

Finvi does not disclose the standard subscription price, minimum contract duration, transaction fees, or implementation costs, nor does it confirm the existence of a free trial period. Purchasers should request that the quote include separate amounts for software, migration, training, interfaces, payment processing, SMS services, data management, support, and professional services.

Suitable for users and scenarios

• Third-party collection agencies: optimize account sorting, channels, agent queues, and payment collection.
• Healthcare providers: Handle insurance follow-ups, denials, patient balances, and payments.
• RCM outsourcing company: Standardizes multi-client workflows and employee performance.
• Banks and lending institutions: Develop strategies for contacting difficult customers, those who are in arrears, and those related to compliance issues.
• Government departments: Automatically generate notices of overdue payments, payment plans, and status updates.
• Payment partners: Integrate bank cards and ACH transactions into existing business systems.

Advantages

• It focuses intensely on revenue recovery and highly regulated industries; it is not a simple extension of generic CRMs.
• AI-driven decision-making is integrated with payment processes, queues, and workflows within the same business workflow.
• It covers various markets such as healthcare, ARM, banking, lending, and government.
• The payment API comes with a dedicated development center, certification guidelines, and change logs.
• Different privacy policies are provided for various products, which helps to distinguish between websites, payment systems, and business platforms.

Capacity limits and risks

• AI scoring is a probabilistic assessment and cannot replace legal, compliance, or consumer hardship evaluations.
• Improving recycling efficiency cannot be used as a reason for excessive interference, discrimination, or ignoring contentious situations.
• With a large range of products and a complex history of brands, it is necessary to determine the actual modules and versions specified in the current contract.
• Migration errors can lead to inconsistencies in balance, permissions, account ownership, or contact status.
• Payments, text messages, phone calls, and medical data are governed by different regulatory frameworks.
• The improvement in recovery rates or efficiency shown in marketing examples does not constitute a guarantee of results for customers.

Privacy and security

Finvi provides separate privacy policies for Katabat, SwervePay, Velosidy, Artiva HCx, Simplicity, and its website, as each product handles different data and has distinct responsibilities. Organizations should read the version that applies to the specific product they have purchased.

• Payment portals may handle information such as name, address, parts of the social security number, credit cards, bank accounts, payment history, geographical location, and contact preferences.
• SwervePay states that its payment portal maintains compliance with PCI DSS, and it employs measures such as encryption, access control, firewalls, and annual audits.
• Payment data may be shared with subscription providers, processors, card organizations, financial institutions, and hosting as well as anti-fraud service providers.
• Finvi cannot control the way in which client institutions collect and share data outside the portal.
• After the account is closed, some data may still be retained in accordance with legal requirements and retention policies.
• The website’s privacy statement differs from the product’s privacy policy; the website policies cannot replace the customer contract and the DPA.

Compliance and consumer protection

• The contact strategies must comply with the applicable rules regarding debt collection, telephone calls, text messages, as well as privacy and consumer protection regulations.
• Statuses such as cessation of contact, disputes, bankruptcy, legal representation, and incorrect identity must take precedence over the AI queue.
• Consumers may use payment fees only when permitted by applicable laws, card organization rules, and explicit authorization.
• In medical settings, it is necessary to restrict access to patient and insurance data based on roles, while also keeping audit records.
• When model outputs affect consumers, it is necessary to establish processes for explanation, review, appeal, and correction.

Open source, commercial use, and refunds

The Finvi platform is proprietary enterprise software; the availability of open APIs does not mean that the source code of the system or its AI models are made available publicly. Developers are granted access to the interfaces within the scope of the contract, but they do not have permission to redistribute the product.

The public page does not specify the refund policy; the implementation by the company, transaction fees, and software services are generally governed by separate contracts. Before signing a contract, it is necessary to clarify the procedures for termination, data export, assistance with migration, prepaid fees, and responsibilities in case of service interruptions.

Frequently Asked Questions

Is Finvi a general-purpose AI agent?

No. It is an enterprise platform designed for revenue recovery, debt collection, medical RCM, as well as banking and payment services; AI is used for determining the order of tasks and making decisions regarding channels and strategies.

What are the five categories of AI in Velosidy?

This includes the best channels for contact, the optimal times to call, repayment preferences, the best payment arrangements, and intelligent queue management.

Is there a public price for Finvi?

No. For each product, it is necessary to contact the sales team to obtain a customized quote; information regarding free trials, minimum contract terms, and implementation costs is also not available.

Does Finvi provide an API?

Available. SwervePay offers public development documentation for its payment API, and Velosidy also emphasizes open APIs; however, the actual permissions and scope are determined by the customer account and the contract.

Is Finvi Payments available in all countries?

It is not possible to draw such a conclusion. The Katabat page clearly states that embedded payment is currently available only in the United States; for other products and regions, sales confirmation is required.

Is Finvi an open-source product?

It is not an open-source product that has been officially recognized. The availability of public APIs, development documentation, and options for integration does not mean that the underlying platform or AI engine has its source code made available publicly.

Is Katabat’s security certification applicable to all products?

Not necessarily. The Katabat page lists PCI DSS, SOC 2, and GDPR, but it is necessary to verify separately the products, environments, and scope of reporting for each certification.

Can AI recommendations automatically determine the best solution for consumers?

It should not be executed automatically and unconditionally. Organizations need to establish governance processes that take into account the circumstances of consumers, relevant regulations, deviation monitoring, and human approval.

Summary

Finvi is suitable for large and medium-sized organizations that need to integrate AI-driven decision-making, complex collection processes, medical revenue cycles, as well as consumer communication and payment systems. Its depth of functionality and compliance features make it more appropriate for revenue recovery operations compared to generic agents.

When making a selection, it is necessary to start by considering the specific market and products, and to clarify aspects such as price, data, certifications, APIs, as well as the conditions for migration and withdrawal. Even after the implementation of AI-based sorting and payment automation, ongoing human oversight, consumer protection, and model management are still required.