Constant AI Unveils Nia: AI‑Driven Skip‑A‑Pay Automation for Credit Unions
Portland‑based Constant AI announced on March 23, 2026 that it has rolled out Nia™—the first “agentic” artificial intelligence solution designed to handle skip‑a‑pay requests end‑to‑end. The product, which can be accessed through voice, digital‑banking portals, chat, and SMS, claims to eliminate the manual steps traditionally required to process a member’s request to pause a loan payment.
Skip‑a‑pay programs are a staple of most credit unions and community banks, generating fee revenue while offering members a safety net during financial stress. Yet the operational reality has remained cumbersome: members typically call a service center, fill out a paper or electronic form, and then wait several days for staff to verify eligibility, route the request through a fulfillment queue, and finally update the core system. The lag can push a borrower into delinquency before the request is approved, eroding both member satisfaction and fee income.
Constant AI says Nia addresses that gap by automation the entire workflow. The AI evaluates a member’s eligibility in real time—checking loan type, fee structures, and any member‑specific constraints—then either approves or denies the request and writes the outcome directly back to the institution’s core. According to the company, the transaction completes in minutes, with no human touchpoint, no queue, and a full audit trail that satisfies compliance requirements.
The technology behind the claim
Nia is built on a deterministic state‑machine architecture topped with an agentic conversational layer. Unlike many “surface‑layer” chatbots that merely retrieve information, Nia is engineered to execute a transaction. The system runs the core eligibility rules for each credit union, cross‑references the member’s loan data, and triggers a write‑back to the core ledger—all within a single conversational session.
Every decision is logged, auditable, and explainable, a design choice that reflects the heightened regulatory scrutiny around AI in financial services. The underlying control and compliance engine, which Constant AI reports has already processed more than 1.5 million automated transactions for credit union core systems, now serves as the backbone for Nia’s real‑time processing.
Proven infrastructure meets a new use case
The company’s compliance engine has been in production for over three years, handling complex, multi‑state rule sets that many off‑the‑shelf digital‑banking integrations cannot support. According to Constant AI, attempts by credit unions to replicate this functionality in‑house have often resulted in inconsistent outcomes, revenue leaks, or emergency fixes that divert scarce IT resources.
By leveraging a platform that already supports a high volume of automated, rule‑driven transactions, Constant AI positions Nia as a “plug‑and‑play” solution rather than a bespoke development project.
Early adopters put Nia to the test
Michigan State University Federal Credit Union (MSUFCU), an institution with assets exceeding $8 billion and a reputation for technology leadership, is among the first to deploy the new agent.
“Credit unions are focused on putting technology to work to create simple, accessible experiences for our members,” said April Clobes, President and CEO of MSUFCU. “AI technology like Nia helps simplify a complex process in channels our members are already comfortable using, while fitting into our existing systems and compliance framework. It also highlights the value of choosing the right partners to improve efficiency and service responsibly.”
Ben Maxim, Chief Technology Officer at MSUFCU, added a more operational perspective:
“We’re not just experimenting with AI – we’re operationalizing it,” Maxim said. “That means putting strong oversight in place from the start. We need to clearly demonstrate compliance and eliminate any ambiguity. Nia makes that possible. Built as a voice solution for high volume use cases like skip‑a‑pay, it allows us to bring enterprise‑ready AI into production safely and at scale. This is what next‑generation agentic AI looks when it’s done right.”
Strategic positioning within a broader AI ecosystem
Nia’s launch coincides with Constant AI’s selection as the inaugural fintech partner for Eltropy’s newly introduced Agentic AI Platform for credit unions. The platform, described as the first governed AI‑agent ecosystem serving more than 750 credit unions across North America, offers a distribution channel for specialized AI agents.
By building Nia directly on the Eltropy platform, Constant AI gains access to a reliable, pre‑approved distribution network while Eltropy benefits from a ready‑made, high‑impact use case to showcase its ecosystem.
“The gap between what members expect and what most credit unions can deliver on something like skip‑a‑pay is wide, and it’s getting wider,” said Catherine York Powers, CEO of Constant AI. “Compliance and auditability are non‑negotiable, and Nia was built for exactly this tension. It’s not a chatbot, it’s a live, agentic AI system handling real member conversations, with every decision logged, governed, and explainable. We’re proud to be the first to bring this to market, and to be doing it alongside one of the most trusted platforms in the credit union ecosystem.”
A growing library of specialized agents
Nia marks the first entry in Constant AI’s “agent library,” a catalog of AI agents each targeting a distinct credit‑union workflow. The roadmap includes agents for debt‑protection programs, CPI reversals, and other high‑value member interactions. The modular approach allows institutions to adopt individual agents within weeks, without committing to a full‑scale platform overhaul.
Integration, compliance, and next steps
Nia integrates natively with major credit‑union core systems, including Jack Henry Symitar, SilverLake, Fiserv DNA, and Corelation Keystone. The solution is also SOC 2 Type 2 certified, reinforcing its compliance posture.
Credit unions and community banks interested in testing the technology can request a demo through Constant AI’s website.
Market implications and analyst takeaways
The introduction of an agentic AI that can execute a financial transaction—rather than merely provide information—signals a maturation of AI use cases in the banking sector. Regulators have been cautious about “black‑box” AI decisions that affect member accounts; Nia’s audit‑ready design directly addresses those concerns.
From a competitive standpoint, the move positions Constant AI ahead of traditional chatbot vendors that have struggled to embed transactional capabilities into their platforms. By leveraging an existing compliance engine and aligning with Eltropy’s ecosystem, Constant AI reduces the time‑to‑value for credit unions seeking to modernize member‑service operations.
Analysts note that the skip‑a‑pay market, while niche, represents a substantial revenue stream for credit unions, especially as delinquency rates climb. Automating this workflow could free staff to focus on higher‑margin activities, improve member satisfaction, and protect fee income that might otherwise be lost to processing delays.
Overall, Nia exemplifies how AI can move from advisory to actionable roles within regulated financial environments, provided that transparency, auditability, and integration with core systems are baked in from day one.
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