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98% to 1%: How A Global Bank Cut AML False Positives with Digital Workers
AI Use Cases
A global financial services firm was processing ~105,000 AML (anti-money laundering) screening alerts a month. 95–98% were noise. Here's what happened when a Digital Worker took over the investigation.
Johnson & Johnson Is Using Agents Grounded in Causal Reasoning to Scale Decision-Making in Drug Manufacturing
AI Use CasesEvents
“We’re sure that causaLens’ AI Agents will enhance what we’ve already accomplished together through automation to transform business–critical decision-making.”
Cisco Is Using AI Agents to Run Forecasting at Scale—Here’s Why That Matters
AI Use CasesData ScienceEvents
Inside one of the world’s most complex supply chains, agents are rewriting the rules of enterprise analytics
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BusinessWire Press Release: causaLens Expands Strategic Partnership with Syneos Health to Scale Agentic AI in Biopharma Commercialisation
Partnerships
By combining causal reasoning, a field we pioneered, with multi-agent automation, we’re helping Syneos Health translate complex data into meaningful commercial action for biopharma brands.
Webinar: Deploying Digital Knowledge Workers in Professional Services
AI Use CasesEvents
About this session: causaLens sat down with Clifford Forrester – former CTO of Jackson Lewis and former CDO of Citrin Cooperman – for a candid conversation on what it actually…
IBM Announces causaLens as Launch Partner in New AI Agent Ecosystem
Partnerships
LONDON, UK – 19th June 2025 – causaLens, the pioneer of digital workers for data science, has been named an official launch partner for IBM’s newly unveiled AI agent platform.…
Latest Blogs
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Agentic AI Reliability: In-Loop and Out-of-Loop Tooling Make the Difference Between a Fancy Demo and ROI
AI Strategy
In loop tooling supervises the agent while it runs. Human in the loop pauses, quantitative judges, LLM judges, repetition guards and hard stops, provenance tracking on every significant write, and…
Digital Worker Memory: Digital Workers Continuously Learn and Improve Like Your New Hires
AI Strategy
The more you interact with a Digital Worker, the more autonomous it becomes. Every correction, every judgement call a business user makes on an edge case, every "actually, we handle…
Agentic AI Reliability: Automating Agentic QA
AI Strategy
Agentic QA gives the agent a browser and a test runner. It explores the application to learn how it actually behaves, then writes and iterates on Playwright tests against that…
Latest Causal AI
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Data Generating Process to Evaluate Causal Discovery Techniques for Time Series Data
causaLens’ NeurIPS 2020 paper sets out a framework for benchmarking causal discovery techniques time series data. causaLens researchers Andrew Lawrence, Marcus Kaiser, Rui Sampaio, and Maksim Sipos introduce a novel…
How Kaiser Permanente is Using Causal AI to Revolutionize Patient Care
Founded in 1945, this non-profit organization was born from an innovative healthcare program for shipyard workers during World War II. Today, it’s one of the largest managed care organizations in…
Supply Chain Root Cause Analysis with Causal AI
Prediction is at the core of running an efficient supply chain. Whether it’s forecasting demand or the weather; prediction enables our vastly complex global supply chains to operate in real-time…