The AI Compliance Code: How Smarsh and AWS Unlocked AI for Wall Street

PORTLAND, OR – June 25, 2026 – For years, the financial services industry has treated artificial intelligence with a mix of aspiration and apprehension. While the promise of efficiency and insight was clear, the risks—regulatory backlash, opaque decision-making, and catastrophic compliance failures—loomed larger. Now, a strategic collaboration between digital compliance leader Smarsh and Amazon Web Services (AWS) is proving that the code to safe, enterprise-scale AI has been cracked.

In a breakthrough for the highly regulated sector, the partnership has delivered a stunning result at a leading global investment bank: a 77% reduction in the manual workload for compliance reviewers, achieved with a near-perfect risk detection rate. This isn't a lab experiment; it's a real-world deployment handling millions of alerts, signaling a pivotal shift from AI experimentation to trusted, enterprise-wide adoption. The initiative, built on a multi-year agreement, is turning the industry's biggest AI barrier—governance risk—into a competitive advantage.

From Black Box to Trusted Partner

The central challenge for AI in finance has never been a lack of power, but a lack of trust. Regulators, rightly, demand explainability, auditability, and clear oversight for any system that could impact market integrity. For many firms, the “black box” nature of early AI models was a non-starter.

Smarsh, leveraging the power of Amazon Bedrock and Amazon Bedrock AgentCore, is addressing this governance gap head-on. “Financial institutions do not need more AI experimentation—they need trusted, auditable outcomes,” said Goutam Nadella, Chief Strategy Officer at Smarsh. “The biggest barrier to enterprise AI adoption in financial services has been governance and compliance risk. Through our collaboration with AWS... we are removing that barrier.”

The solution provides the transparency regulators require. By building its AI models with clear documentation, versioning, and robust audit trails, the company ensures that compliance teams can explain how and why an AI-driven insight was generated. This focus on model risk management, including rigorous testing for bias and performance drift, turns AI from an inscrutable oracle into a defensible and trusted partner for compliance teams.

This approach is a cornerstone of the collaboration. “At AWS, we believe regulated industries shouldn't have to choose between innovation and compliance,” noted Carol Potts, General Manager of US ISV Sales at AWS. The partnership combines Smarsh's deep domain expertise in financial compliance with the secure, scalable, and resilient cloud environment that AWS provides—a critical combination when handling the sensitive communications data that flows through global financial institutions.

The 77% Solution: A New Benchmark for Efficiency

The headline figure of a 77% workload reduction is more than just an efficiency metric; it represents a fundamental change in how compliance departments can allocate their most valuable resource: human expertise. The system’s ability to achieve this while preserving compliance integrity—with what Smarsh reports as less than a 2% loss in risk detection—is the crucial second half of the equation.

This feat is accomplished through Smarsh's Intelligent Agent, which effectively emulates the decision-making of a Level 1 compliance analyst. The AI employs contextual filtering powered by Large Language Models (LLMs) adapted for the financial industry. It intelligently differentiates meaningful conversations from the vast sea of digital noise—disclaimers, marketing spam, and automated system alerts—that clogs review queues. This filtering alone can slash review volumes significantly.

Beyond just reducing noise, the agent’s “Detect capability” enhances risk coverage, reportedly identifying three to five times more actionable risks than traditional lexicon-based systems. It is multilingual by default, providing a global oversight capability that legacy tools struggle to match.

Real-world validation comes from early adopters like K1 Investment Management. The private equity firm deployed Smarsh's AI Noise Reduction, another tool in the AI suite built on AWS Bedrock. “We've cut false positives by 50% while gaining the regulatory defensibility our compliance team needs,” said Jean Kisaka, VP and Chief Compliance Officer at K1. “This helps our compliance team focus on what matters most, to help deliver smarter oversight with better resource allocation.” By automating the review of low-value alerts, compliance professionals are freed to investigate complex, material risks that truly threaten the firm.

Beyond Archiving: Communications Data as Strategic Fuel

For decades, the vast troves of digital communications data held by financial firms were seen primarily as a liability—a static archive to be managed for legal and regulatory purposes. This collaboration signals a transformation of that data from a cost center into an active intelligence layer.

Smarsh is deploying a suite of AI-native agents designed to turn this data into a strategic asset for compliance, legal, and surveillance teams. The applications extend far beyond noise reduction. The Discovery Agent, for example, is designed to accelerate legal case assessments, with the potential to reduce investigation costs by up to 75% and lessen the reliance on expensive outside counsel.

This shift is not limited to the world’s largest banks. With its Noise Reduction Agent, the company is making enterprise-grade AI accessible to small and mid-sized firms, which face the same exploding data volumes and regulatory pressures but with far fewer resources. By offering these solutions through the AWS Marketplace, the partners are simplifying procurement and deployment, allowing firms to leverage their existing cloud investments to accelerate their own AI adoption.

As financial institutions move decisively from isolated AI pilots to full-scale deployment, the framework established by Smarsh and AWS is setting a new industry benchmark. It proves that innovation and governance are not mutually exclusive goals, but rather two sides of the same coin in the new era of finance. It’s a model that helps firms not only strengthen oversight and resilience but also unlocks the immense strategic value buried within their own communications.