Blockchain analytics firm Chainalysis is expanding its focus beyond developers, rolling out a new automation feature designed to make onchain investigations and compliance work accessible to a broader range of users.
The company this week introduced Workflows, a tool that allows investigators and compliance teams to run predefined blockchain analyses without writing custom code. Instead of relying on SQL or Python queries, users can apply standardized investigative templates to common tasks, streamlining processes that were previously time-consuming and technically demanding.
Chainalysis said the move reflects a shift in how its data products are being used, as financial institutions, regulators and compliance teams increasingly need repeatable, scalable tools rather than bespoke analysis built by engineers.
Chainalysis’ Workflows library. Source: Chainalysis
From code-heavy analysis to guided investigations
Ekim Buyuk, senior product manager at Chainalysis, said Workflows is designed to abstract away the underlying data complexity and refocus investigations on practical questions.
“What previously required technical expertise and lots of time can now be done by any user in minutes,” Buyuk told Cointelegraph. Instead of asking users to understand blockchain data schemas, the tool prompts investigation-level inputs such as which wallets, entities or time periods matter.
The automation push comes as fraud networks themselves become more sophisticated. Buyuk pointed to Chainalysis research showing that AI-enabled scams extract roughly 4.5 times more money from victims than traditional schemes, highlighting the growing pressure on investigators to move faster and operate at scale.
Fraud and scams remain a major drag on crypto
Chainalysis estimates that crypto scams and fraud accounted for about $17 billion in losses in 2025, driven largely by a rise in impersonation scams and increasingly industrialized fraud operations. Many of these schemes rely on AI tools, deepfakes and professional money-laundering infrastructure to reach more victims and evade detection.
Crypto Scams and Fraud in 2025 report. Source: Chainalysis
Several late-year incidents underscored the challenge. On Jan. 2, an attacker drained hundreds of wallets across Ethereum Virtual Machine-compatible networks, stealing relatively small amounts from each address in what onchain investigator ZachXBT described as a broad, low-value exploit potentially linked to the Ledger hack.
Social engineering has also remained a persistent threat. ZachXBT recently identified a suspected scammer who impersonated Coinbase customer support and stole an estimated $2 million over the course of 2025.
At the same time, there are signs of improvement on the hacking front. Blockchain security firm PeckShield reported that overall crypto losses from hacks and exploits fell sharply in December, dropping to about $76 million, down roughly 60% from November’s $194.2 million.
For Chainalysis, the introduction of Workflows reflects a bet that simplifying investigative tooling will be critical as the scale and complexity of onchain activity continue to grow — both for legitimate users and for those seeking to exploit the system.