More Context in Every Decision
Account history, prior outcomes, contact preferences, eligibility and approved offer parameters can inform the conversation.
Every call. A better decision. ZeroBalanz is designed to help creditors, lenders and collection agencies resolve high-volume receivables through AI voice conversations, portfolio intelligence and approved negotiation rules.
One intelligent platform for natural conversations, consistent decisions and scalable debt resolution.
A collector can focus deeply on the account in front of them. ZeroBalanz is designed to see the entire portfolio—and use more context, more consistently, to select the next best action for each account.
One collector sees one account.
ZeroBalanz sees the entire portfolio.
Account history, prior outcomes, contact preferences, eligibility and approved offer parameters can inform the conversation.
Approved policies can be applied consistently across shifts, teams and portfolio volume.
Outcomes can feed a measurable operating loop—revealing which strategies create durable resolutions.
Better results begin before the phone rings and continue after the promise is made. ZeroBalanz is designed to coordinate the full decision cycle.
Prioritize the right account, channel, timing and strategy instead of treating every balance the same.
Listen, respond and negotiate naturally while staying inside approved language, offers and autonomous decision rules.
Capture dispositions, commitments and outcomes so the next interaction starts with more intelligence.
The Best Agreement Isn’t the Highest Promise.
It’s the One That Gets Completed.
Resolution quality matters. ZeroBalanz is designed to match the conversation and offer to the account context—pursuing commitments that are both responsible and more likely to hold.
Measure kept agreements, not just promises captured.
In a randomized field experiment involving 7,839 delinquent borrowers, algorithm-directed call selection outperformed human-directed selection while using fewer calls on average. Read the Study
Independent research result—not a ZeroBalanz performance claim. The algorithm selected which borrowers to call; human agents conducted the calls. Results may not generalize to every portfolio or operating environment.
ZeroBalanz is built around a deliberate choice: complete AI execution. The agent carries every account through its approved resolution path without handing the conversation to a human collector.
AI is not exempt from collection rules. Its advantage is that approved rules can be encoded, enforced and evidenced across every conversation—without fatigue, pressure or improvisation changing the standard.
Required language may be paraphrased, shortened or delivered at the wrong point in a call.
Approved disclosure logic can control what is said and when it is delivered.
Calling windows, prior attempts and consumer preferences may be missed across disconnected systems.
Contact windows, attempt policies, consent and channel rules can be checked before outreach begins.
A collector under pressure may improvise an offer, promise or statement outside approved policy.
Offer limits, plan terms and prohibited actions can remain bounded by creditor-approved rules.
Supervision often depends on sampled calls, notes and coaching after the interaction has ended.
Every interaction can produce a transcript, disposition and decision trail for review.
Fatigue, emotion and individual judgment can change how disputes, hardship or opt-outs are handled.
Defined stop rules can consistently pause outreach, end the call or record an unresolved path.
Compliance depends on the use case, jurisdiction, consent, data and program configuration. Controls support—but do not replace—legal review and an effective compliance-management system. Review the CFPB Debt Collection Rule FAQs and the Fair Debt Collection Practices Act.
ZeroBalanz is designed around configurable operating controls, visible decisions and deterministic stop conditions—so complete automation still operates within defined rules.
Configure calling windows, frequency policies, consent and channel rules for the operating environment.
Define eligible offers, settlement floors, plan parameters and the conditions that require review.
Maintain transcripts, dispositions, commitments and the decision context behind each outcome.
Define when the agent pauses outreach, ends a conversation or records an account as unresolved.
Compliance depends on your use case, jurisdiction, data, consent practices and operating configuration. Product controls support a compliance program; they do not replace legal review. See the CFPB Debt Collection Rule FAQs.
ZeroBalanz adapts its resolution strategy to the debt, consumer relationship, operating model and policy boundaries behind each portfolio.
Turn aged and charged-off accounts into prioritized, measurable resolution opportunities.
02Add autonomous capacity while preserving client-specific rules and portfolio strategies.
03Protect the customer relationship with consistent, policy-governed conversations.
04Handle sensitive financial conversations with defined options and respectful execution.
05Resolve high-volume balances without allowing volume to dictate conversation quality.
Not sure which model fits? We’ll evaluate a representative portfolio and recommend the structure with the strongest resolution economics.
Start With a Three-Month PilotEvery portfolio has different economics. The right solution reflects account volume, debt age, average balance, contact history and the resolution strategies you authorize.
A predictable platform commitment combined with a performance fee based on cleared payments—not promises or scheduled balances.
A customized monthly commitment based on portfolio size, workflow complexity, and expected contact volume, with a reduced performance component.
A modern collection operation should show what happened, why it happened and whether the resulting agreement held.
Programs can be designed around consumer receivables such as financial services, healthcare, auto, utilities, telecom and property-related balances. Portfolio fit depends on account quality, documentation, age, balance, jurisdiction and the resolution authority provided.
A pilot begins with a defined account placement and outcome-return workflow. The final integration approach depends on your systems, security requirements, payment process and the data needed to support each approved resolution path.
The recommended proof of concept runs for three months. Before launch, both teams define the eligible portfolio, contact policies, negotiation boundaries, stop rules, success measures and reporting cadence.
No. ZeroBalanz is designed for complete AI execution. The agent either completes an approved resolution path or applies the configured stop or unresolved outcome.
ZeroBalanz offers performance and portfolio partnership models tailored to each program. The right structure depends on account volume, debt age, average balance, contact history, workflow complexity and authorized resolution strategies.
Each program is configured around creditor-defined contact rules, disclosures, negotiation limits, stop conditions and recordkeeping requirements. These controls support—but do not replace—the client’s legal and compliance program.
Let’s map where autonomous AI voice and portfolio intelligence can create the most value in your operation.
Start the Assessment