About
Experience built inside operations where the system had to work every day.
Meru AI is led by Jose Okabe, an AI implementation strategist who has worked across attribution, telecom, intake, reporting, automation, and AI-supported workflows in complex operating environments.
Operating experience
Strategy is useful only when the implementation survives daily use.
Jose has designed and supported AI, automation, attribution, telecom, reporting, and operations systems inside environments where the work had to survive daily use. The focus is not AI as novelty. It is whether the business has clearer information, more dependable systems, and well-defined human review.
Meru uses that background to help professional services and mid-market organizations understand where AI belongs, connect it to existing systems, and carry the work through production and ongoing improvement.
View Jose Okabe on LinkedInSystem consolidation
Reduced 1,000+ automations into 7 governed workflows while moving brittle operations toward AWS-centered infrastructure.
Revenue operations
Rebuilt attribution and signed-contract feedback loops across ad platforms, CRM, and executive reporting systems.
Legal operations
Designed AI-supported workflows for intake, call analysis, churn risk, document processing, and human review.
Adoption
Built operational systems used across a 350+ employee environment, with implementation work tied to daily workflows rather than isolated demos.
Related work
Work that shows how Meru approaches implementation.
Enterprise Legal AI Architecture
A case study on architecture, attribution, telecom, intake, finance, and workforce adoption inside a high-volume legal operation.
Open resourceSales Intake Automation
A guide to using AI around lead context, call review, follow-up, and revenue feedback loops.
Open resourceAI Consulting Services
Strategy, implementation, system integration, workflow improvement, and ongoing support from one accountable partner.
Open resourceNext step
Start with the business priority that deserves careful implementation.
Meru begins by understanding the operation before recommending tools, models, automations, or agents.