**Chainalysis Bets on Automation to Scale Onchain Investigations Beyond Developers**
Blockchain analytics company Chainalysis has unveiled a new automation feature aimed at expanding access to onchain investigative and compliance tools beyond technical users. The feature, called Workflows, enables investigators and compliance teams to run predefined blockchain analyses without writing code, reducing reliance on custom SQL or Python queries.
According to Ekim Buyuk, senior product manager at Chainalysis, the tool is designed to standardize common investigative processes with prebuilt templates, making them easier to repeat and apply across multiple cases. "What previously required technical expertise and lots of time, can now be done by any user in minutes," Buyuk said. "Instead of asking users to understand data schemas, it asks investigation-level questions such as which actors, wallets, or time frames matter."
The company's research suggests that fraud and scam networks are increasingly adopting new technologies to scale their operations. A recent report from Chainalysis estimates that crypto scams and fraud drained about $17 billion in 2025, driven by a surge in impersonation schemes and the industrialization of fraud operations that rely on AI, deepfakes, and professional money-laundering networks.
Several high-profile incidents late in 2025 underscored those risks. On January 2, an attacker drained hundreds of wallets across Ethereum Virtual Machine-compatible networks, stealing sub-$2,000 amounts per address in what onchain investigator ZachXBT described as a broad but low-value exploit that could be related to the Ledger hack.
Social-engineering attacks also persisted, with ZachXBT recently identifying a suspected scammer who impersonated Coinbase customer support and stole about $2 million over 2025. However, blockchain security company PeckShield noted that overall crypto hacking losses declined sharply in December, with total losses from hacks and exploits falling to about $76 million, down 60% from November's $194.2 million.
Chainalysis' Workflows feature is designed to help investigators and compliance teams monitor the increasing industrialization of fraud operations, which can include AI-enabled scams that extract more money from victims. As Buyuk noted, "fraud and scam networks are often quick to adopt new technologies to scale their operations." According to Chainalysis research, AI-enabled scams can extract 4.5 times more money from victims.
The company's goal is to make it easier for non-technical teams to conduct onchain investigations and compliance analyses without relying on custom code. With Workflows, users can run predefined blockchain analyses in minutes, rather than requiring technical expertise and lots of time. This could be a significant step forward in the fight against crypto scams and fraud.
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