Chainalysis Launches Workflows, a No-Code Automation Tool for Blockchain Investigations

Chainalysis has introduced Workflows, a no-code automation solution designed to expand access to blockchain investigative tools beyond technical users according to Chainalysis. The tool allows investigators and compliance teams to run predefined analyses without coding, reducing dependence on custom SQL or Python queries. This marks a strategic shift in Chainalysis' approach to democratizing blockchain intelligence and standardizing investigative processes.

The solution leverages prebuilt templates to streamline repetitive tasks, enabling users to perform complex blockchain analysis with minimal technical expertise. According to Chainalysis, this standardization helps teams apply consistent procedures across multiple cases, improving efficiency and reducing manual effort. The company's senior product manager, Ekim Buyuk, emphasized that the tool transforms tasks that once required hours of technical work into actions that can be completed in minutes.

Workflows is also positioned to address the growing complexity of fraud and scam operations, particularly those leveraging AI to scale illicit activities. Buyuk noted that AI-enabled scams can extract up to 4.5 times more money from victims than traditional methods, highlighting the need for more advanced tools in compliance and investigative workflows.

Why Did Chainalysis Introduce Workflows?

Chainalysis' decision to launch Workflows reflects a broader industry challenge: the need to respond to increasingly sophisticated fraud networks. Traditional investigative methods often struggle to keep pace with the industrialization of scams, which rely on tactics such as deepfakes, social engineering, and professional laundering operations.

The company's report estimates that crypto scams and fraud drained approximately $17 billion in 2025. A key challenge in identifying these schemes is that individual losses may appear small, but the cumulative effect of thousands of victims can reach billions. Chainalysis' new tool is intended to uncover these patterns more efficiently.

How Does Workflows Work?

Workflows operates through an intuitive, fill-in-the-blank interface that guides users through advanced blockchain analysis without requiring coding knowledge. This no-code model allows investigators to identify specific actors, wallets, and time frames by asking investigative-level questions rather than dealing with data schemas.

Technical users can still access full SQL and Python functionality when needed, while non-technical users gain the ability to run complex analyses independently. This dual-access model enables organizations to scale operations without relying on limited technical resources.

Initial workflows include timing and amount analysis, threat actor network expansion via mutual counterparty analysis, and targeted wallet and cluster search according to Chainalysis. These capabilities are expected to evolve over time, with Chainalysis planning to expand to hundreds of mini-applications and workflows.

What Are Analysts Watching Next?

Analysts are closely monitoring how Workflows affects compliance and investigative practices in both public and private sectors. The tool's potential to uncover hidden threat networks is particularly significant for financial institutions, regulatory bodies, and intelligence agencies.

Chainalysis also plans to integrate AI to orchestrate Workflows automatically, enabling end-to-end automation for complex tasks. This integration is seen as a key step in the future of blockchain intelligence, where AI-driven automation could enhance threat detection and response times.

The company's long-term vision is to give every Chainalysis user the analytical capabilities of a data scientist, leveraging Workflows and AI to expand blockchain insights for a wide range of applications.

The introduction of Workflows aligns with industry trends in automation across finance and technology, as companies increasingly seek tools to reduce manual effort and improve operational efficiency. As the adoption of blockchain grows, so does the need for scalable, user-friendly solutions to track and mitigate risks.