Chainalysis Launches Automation Tools to Expand Onchain Investigations for Non-Technical Users

Blockchain analytics firm Chainalysis has launched a new automation feature called Workflows, designed to allow non-technical users to perform onchain investigations without coding according to Chainalysis. The tool uses prebuilt templates to standardize and simplify common investigative tasks, enabling compliance teams and investigators to run analyses faster and across multiple cases as reported. The move reflects growing demand for scalable tools to combat increasingly sophisticated fraud and scam operations in the crypto space according to analysis.

Chainalysis said Workflows reduces the need for custom SQL or Python queries, which are typically used in traditional onchain investigations. Instead, it asks users to specify investigation-level questions such as which wallets or actors to focus on according to the company. The company's senior product manager, Ekim Buyuk, emphasized that the feature allows even non-technical users to execute what once required deep coding expertise as stated.

The tool is being positioned as a response to the rapid evolution of fraud networks, which often leverage AI to scale their operations. Chainalysis research suggests that AI-driven scams can generate 4.5 times more revenue than traditional methods, underscoring the need for more accessible investigative tools according to Chainalysis research.

Why the Move Happened

Fraud and scam networks are becoming more sophisticated, leveraging AI, deepfakes, and decentralized finance (DeFi) to evade detection and scale their activities according to Chainalysis. Chainalysis reported that in 2025, crypto scams and fraud drained $17 billion globally, driven largely by impersonation schemes and industrialized fraud operations as reported.

The complexity of these scams has made it harder for investigators to keep up. For example, single victims of scams may only lose small amounts, but fraud networks with thousands of victims can steal billions collectively according to analysis. Blockchain tools like Chainalysis are needed to identify and track these large-scale operations.

How the Tool Works and Its Market Impact

Workflows uses prebuilt templates to standardize investigative processes. Rather than asking users to understand data schemas, it presents high-level questions relevant to investigations according to Chainalysis. This reduces the time and technical knowledge needed to run analyses, making onchain tools more accessible to compliance officers and investigators who may not have coding backgrounds as noted.

The introduction of Workflows aligns with Chainalysis's broader strategy to expand beyond technical users. Previously, the company's tools were often used by developers or data scientists. With Workflows, it is aiming to bring its capabilities to a wider range of compliance teams and law enforcement professionals according to Chainalysis.

What Analysts Are Watching

The introduction of no-code tools like Workflows raises questions about their impact on the broader compliance and forensic tech landscape according to analysts. Analysts are monitoring whether the feature can reduce the workload on compliance teams and improve detection rates for large-scale fraud operations as observed.

At the same time, there are concerns about the potential for fraudsters to adapt and find ways to bypass these new tools. The use of decentralized platforms for moving stolen funds is already becoming more common, and scammers are increasingly using advanced AI tools to create convincing impersonation schemes according to Chainalysis.

Market observers are also watching how the competition between Chainalysis and other blockchain analytics firms evolves. As fraud operations become more decentralized and global, the ability to provide scalable, user-friendly tools could determine which platforms dominate the market according to industry analysis.

Chainalysis's efforts to standardize and simplify onchain investigations suggest it is preparing for a future where compliance tools need to be as adaptable and accessible as the threats they are designed to counter as stated.