West Monroe Launches WestMonroe.ai Platform with AI Strategy Agents

Jun 9, 2026
West Monroe has introduced WestMonroe.ai, an open platform offering AI agents that help business leaders explore strategy, risk, and growth scenarios before execution. The platform launches with six agents covering areas such as business model risk and AI maturity.

West Monroe has launched WestMonroe.ai, a public platform featuring AI agents for business strategy, announced in a press release. The service allows business leaders to test ideas, assess risks, and develop strategies before moving into detailed planning.

The platform debuts with six agents focused on business model risk, growth expansion, talent strategy, AI maturity, AI use case prioritization, and AI policy. Each agent guides users through structured questions and provides a downloadable summary of results.

The Business Model Threat Finder Agent identifies potential disruptions and emerging risks, while the AI Readiness Agent evaluates an organization's maturity across data, technology, and governance. The Workforce Future Fit Agent helps assess workforce alignment with future strategies.

West Monroe developed the platform using its consulting experience and applied AI practices. The company stated that the goal is to make early strategic thinking faster and more accessible, with the platform available at no cost to users.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief, Sales & Marketing AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.