Constant AI Bolsters Leadership with Credit Union Veteran Angela Faust as Chief Product Officer

Constant AI has overhauled its leadership team with four senior appointments aimed at embedding deep credit union and banking expertise into its agentic AI platform. By hiring veterans from collections and loan servicing, the firm is positioning its automated tools to handle complex delinquency workflows that traditionally required high-touch human intervention.

What was announced

Constant AI has appointed a new suite of leaders to drive the development of its AI agent platform, which is designed to help community financial institutions (CFIs) manage loan portfolios and member protection. The appointments include Angela Faust as Chief Product Officer, Lindsay Wescott as Senior Vice President of Customer Success and Delivery, Margarita “Maggie” Camacho as Head of Product Operations, and Jon Girard in the newly created role of Head of Engineering.

These leadership moves follow the recent launch of Delinquency Shield, a product designed to identify and provide payment assistance to struggling members before a loan reaches the critical 60-day past-due mark. The new team brings significant operational experience to the platform’s development:

• Angela Faust previously served as Chief Operating Officer at Credit Union of Texas, having started her career in collections.
• Lindsay Wescott joins after 18 years at TD Bank, where she held various roles in loan servicing and collections, including Vice President of Transaction Processing.
• Margarita “Maggie” Camacho brings 24 years of credit union experience, including 17 years in internal roles ranging from teller to Vice President.
• Jon Girard, with 15 years of software engineering experience, will oversee the technical processes that integrate AI-assisted development with quality guarantees.

"Building agentic AI that protects credit unions’ members and loan portfolios takes people who have done this work from the inside."

Catherine York Powers at Constant AI

The companies involved

Constant AI is an AI agent platform specifically tailored for community financial institutions, including credit unions and community banks. The company focuses on automating high-friction processes within lending and collections, aiming to protect both the institution's loan portfolio and the financial health of its members. Under the leadership of Founder and CEO Catherine York Powers, the firm has moved toward "agentic AI"—autonomous systems capable of executing complex tasks rather than merely providing information.

The company operates in a niche market where regulatory compliance and member relationships are paramount. Unlike generic fintech automation tools, Constant AI emphasizes "lived experience" in its product design, hiring practitioners who have managed collections and loan servicing manually. This approach is intended to ensure that its AI agents can navigate the nuances of delinquency management and payment assistance programs within the specific legal and cultural framework of the credit union movement.

What FF News has reported before

Constant AI has previously been identified as a key player in the emerging ecosystem of AI agents for the credit union sector. FF News recently covered the expansion of this market in Eltropy Launches AI Agent Marketplace for 750+ Credit Unions and Community Banks, which highlighted the growing demand for specialized automated tools among smaller financial institutions. Furthermore, the company’s role in broader fintech distribution was noted in Eltropy Launches Agentic AI Early Access Program for Fintechs to Reach 750+ Financial Institutions, reflecting a trend toward interoperable AI solutions that can be deployed across hundreds of community-based lenders simultaneously.

What this means

This leadership expansion signals a shift in the fintech sector from general-purpose AI to domain-specific "agentic" tools. By hiring executives with decades of experience at institutions like TD Bank and Credit Union of Texas, Constant AI is betting that the future of collections lies in software that understands the operational "why" behind a loan workout, not just the technical "how." This moves the needle for the industry by raising the stakes for traditional core banking and servicing providers. As specialized AI agents begin to outperform legacy systems in delinquency management, incumbent software vendors will face increasing pressure to either open their ecosystems to these agents or risk losing the servicing layer of the banking stack entirely.