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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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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.…
causaLens Launches AI Data Science Agents as a Snowflake Native App on Snowflake Marketplace
PartnershipsProduct updates
Joint customers can now deploy AI-native digital data science workers (agents) directly within Snowflake, eliminating data movement and automating analytics and data science workflows across the enterprise.
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What makes AI Agents Reliable?
AI Strategy
Accuracy is climbing. Reliability isn't. Here's what enterprise teams should actually measure — and why it matters for production AI.
Reliability at Scale: The Hard Problem of Multi-Agent Systems
AI Strategy
Architecting reliable multi-agent systems. Overcome hallucinations and non-determinism to build dependable Digital Workers at scale.
causaLens Benchmarks 20× Higher Reliability Than OpenAI on Complex Knowledge Tasks
AI Strategy
Traditional AI agents struggle with the complexity of real enterprise work. In new benchmarks, causaLens Digital Workers achieved up to 20× reliability gains over OpenAI agents on causality-heavy, mission-critical tasks.