Nexturi Consulting - We fix operating models first. Strategy firms stop at slides. Dev shops start at code.
Nexturi embeds as your fractional operator, redesigns how the business runs, and builds the CRM, dashboards, automation, and AI workflows to run it. We help founder-led companies fix the operating model, ship the tools to run it, automate the manual work, get from pilot to production, and scale past founder shortcuts.
Fractional operations, RevOps and CRM, AI and automation, and platform builds for founder-led startups, consumer and brand marketing, healthcare and nonprofits, and B2B services.
Case Studies
Operating model first, then the platform to run it - Consumer and brand marketing
Problem: A venture-backed brand-marketing startup ran programs that only worked where a strong local lead existed. Recruiting and tracking staff consumed most of each manager's time, and the model could not easily scale internationally.
Solution: We restructured roles and used the company's own ticket-sales data to identify real performers, then built a GoHighLevel CRM and learning-management system, brand dashboards, and a bespoke AI content-scoring system that runs live in the app.
Impact: The program runs across 70 plus US cities with a performer pool drawn from roughly 100,000 tickets sold per year. A redesigned outreach motion reached an 88 percent email open rate against a typical cold-email benchmark near 2 percent.
HIPAA-safe process before a single line of platform code - Healthcare nonprofit
Problem: A healthcare nonprofit needed an anonymous peer-support channel for healthcare professionals that respected HIPAA and the legal reality that healthcare professionals are mandatory reporters.
Solution: We designed HIPAA-safe process and a call-center KPI framework before building, then delivered an anonymous live-chat platform with queue management, agent controls, and load balancing.
Impact: The platform was built and readied for pilot, designed to scale to thousands of concurrent users, and is now moving toward a multi-hospital integration.
From an hour per artifact to a Slack command - Agentic AI in production
Problem: Sales artifacts were written by hand, about an hour each, with no systematic pipeline.
Solution: We built an agentic workflow on n8n, Slack, and Claude that pulls context from email, meeting notes, and a clause library and outputs finished artifact PDFs from a single command.
Impact: Artifact creation dropped from about an hour of manual work to a Slack command, and the outreach the system supports posted an 88 percent open rate.
