Coru is a Mexican company that develops AI platforms for financial institutions, enabling them to create and manage agents with security, traceability, oversight, and regulatory compliance in highly regulated environments.
Q: Five years after its release, how would you describe Coru’s evolution and its competitive position within the Mexican and Latin American financial ecosystem?
A: We initially launched as a digital financial advisory marketplace, but the advent of GenAI revealed a significant market opportunity, prompting us to pivot toward building conversational agents across the customer lifecycle. By last year, we realized the market required more than just conversational tools; institutions needed actionable and editable AI. Consequently, we developed an AI agent platform with bank-grade governance. We combine this enterprise-grade platform with deep strategic consulting expertise, positioning us as the premier technological and strategic partner for financial institutions seeking secure, high-value AI implementation in Mexico and Latin America.
Q: In a market where virtually every provider talks about process optimization through AI, what differentiates Coru as a partner for financial institutions?
A: While building a basic AI agent has become relatively simple, our primary differentiator is our robust bank-grade governance. We provide the only platform we know of where a financial institution can transparently show regulators exactly what an agent did, why it made a specific decision, and who approved it. While many platforms excel at the initial building phase, they lack the rigor required for a secure operational run. We solve that gap by ensuring full traceability, allowing institutions to scale their initiatives confidently and securely.
Q: Some of your investors are highly renowned venture capital firms like QED Investors, Thiel, or IDC Ventures. What has been the role of your partners in Coru’s growth and positioning?
A: Our investors play a fundamental role in our growth and strategic direction. We talk daily to validate and refine our strategies in a market that constantly demands agility and adaptation. Their unparalleled vision and deep understanding of the global landscape give us the confidence to make significant, forward-looking bets, such as anticipating the critical need for bank-grade AI governance long before it becomes a standard market demand.
Q: Which solutions are most demanded by your clients in the Mexican context?
A: In the Mexican market, we see the highest demand for solutions focused on customer origination, including Know Your Customer (KYC) processes, compliance, identification, and creating a more natural, conversational credit application process. Additionally, there is a strong focus on customer service and empowering sales advisors with AI tools to enhance their performance and reduce administrative workloads. Finally, collections processes are highly requested, and we are also developing innovative use cases, such as enabling money transfers through voice commands.
Q: Your offering combines AI, machine learning, conversational agents, and strategic consulting. How does this integration directly impact business metrics such as operational efficiency, revenue, or cost reduction for your clients?
A: Because we deeply understand the nuances and learning curves of financial workflows, our targeted approach delivers significantly higher effectiveness compared to generic providers. For example, in collections, we have helped a major Mexican bank achieve four times greater recovery rates. Furthermore, by redesigning operations and implementing conversational agents in business process outsourcing centers, we can reduce operational expenditures by up to 53%. Our agents are designed to feel entirely human, effectively resolving primary inquiries while reserving human personnel for complex, high-value interactions.
Q: What needs did you identify in financial institutions that led you to develop the ADI platform?
A: We realized that traditional platforms failed to address the strict regulatory and operational realities of the financial sector, which motivated us to build an architecture specifically focused on the regulated run. Beyond achieving an orchestration logic that delivers natural responses in under one second, our platform ensures absolute traceability at the agent decision level, strict version control for prompts and models, and true data isolation between clients. Crucially, it allows institutions to design their own human supervision systems, providing the necessary confidence to accelerate their digital transformation while strictly mitigating inherent risks.
Q: Institutions are increasingly looking to scale AI projects without proportionally increasing their operational risks. How does Coru balance automation, human supervision, and regulatory compliance without affecting the end-user experience?
A: We balance this by implementing human supervision specifically for actions that carry irreversible impacts, effectively streamlining regulatory compliance. Purely informational tasks, such as answering frequently asked questions, sending payment reminders, or guiding a user through an onboarding flow, are handled entirely autonomously by our agents. However, for sensitive transactions like renegotiating debt or issuing credit, we mandate human oversight for the final decision or, at the very least, guarantee complete traceability and auditability, ensuring a seamless user experience that never compromises security.
Q: The Financial Stability Board (FSB) says that institutions should no longer limit themselves to having AI policies but must also provide evidence of how they supervise and audit systems. How prepared are Latin American financial institutions to comply with this level of traceability?
A: Latin American regulators inevitably adopt frameworks from the Financial Stability Board and Basel, meaning institutions will soon need to provide concrete decision logs rather than merely presenting theoretical policy documents. While top-tier institutions possess the budget and internal resources to build this level of bank-grade governance, the vast majority of the market does not. This secondary tier is currently underprepared, which is precisely where our platform and advisory services become critical, equipping these organizations with the necessary tools to achieve strict compliance and allowing them to scale even faster than their larger competitors.
Q: One of the main focus areas of the FSB are AI agents that can interact with internal systems, access confidential information, or execute actions. What are the greatest risks of operating these agents without a solid governance model?
A: The risks of operating independent agents without governance are immense, as large language models have become so powerful that we frequently discover unforeseen vulnerabilities, such as systems inappropriately accessing secure data during simple benchmark tests. While it is inevitable that voice and conversation will become the new primary interface for financial services, institutions must recognize that we currently possess the engine to travel at remarkable speeds, but many lack the necessary brakes.
Without a solid governance model, companies risk severe data breaches and non-compliance, making it imperative to implement strict controls before allowing agents to execute autonomous actions within core systems.
Q: Although the FSB document is not yet a mandatory regulation, many experts believe it will serve as a reference for financial regulators in the coming years. What decisions should banks and financial institutions start making to avoid being caught off guard by future regulations?
A: Financial institutions must begin by conducting an honest, comprehensive inventory of how AI is utilized across their entire organization, as unauthorized bottom-up usage is rampant. Following this assessment, leaders must define a centralized governance structure that clearly outlines permissible use cases and establishes strict operational boundaries. By adopting a model of centralized governance combined with decentralized execution, institutions can empower their employees to innovate safely while remaining fully prepared for impending regulatory mandates.
Q: What will be Coru’s main innovation priorities for 2027?
A: By 2027, our primary focus will be developing highly autonomous agents capable of executing end-to-end processes with granular authorization controls and advanced multi-agent orchestration. We are also advancing the concept of compliance as code, mapping global regulatory frameworks directly into automatic controls that generate audit reports with a single click. Ultimately, our vision is to continuously elevate the role of human workers, shifting them away from basic customer interactions toward strategic system supervision, ensuring that humans remain firmly at the center of oversight and control.
Our operations are heavily focused on Mexico and Brazil, and we estimate that less than 1% of the market potential has been realized in these regions. Because there is such a massive, unmet need for a specialized, vertical player that deeply understands local financial intricacies, we are intentionally not diverting our attention to new markets. Instead, our strategic priority is to aggressively deepen the relationships and expand the capabilities we provide to our existing client base within our core territories.