Nuvepro rewires your enterprise to be agentic. The Bootcamp is how.

Two weeks. Nuvepro runs Task Intelligence across the departments you scope, classifies every task as automate, augment, or human-only, and produces an agentic readiness scorecard with hours-saved and ROI projections per role. You get an executive readout deck, a scorecard you can take to leadership, and a recommended next-workflow shortlist. No agent build, no bootcamp, no team training in this scope. Designed for consulting-firm-led engagements where the partner brings the client relationship and Nuvepro provides the technology-backed diagnostic, and for clients who want to validate the model before committing to a Pilot. Extends naturally into Pilot when the client is ready.

In 14 days, a Nuvepro AI Specialist takes one real workflow through Task Intelligence, classifies every task as automate, augment, or human-only, trains up to 5 people in GenAI Sandboxes, and gets the first AI-enabled task live in production. You leave with the production task, the classified workflow map, success criteria, and a rollout blueprint for the next wave of agents on the AI stack you already own. 16 hours of Specialist-led work over 14 days.

Everything in the Pilot, plus two additional tasks. That's 9 Simulations and 3 Assessments total, 64 hours of Nuvepro AI Specialist-led work. Up to 15 people. Your team transforms an entire workflow, not just one task. Handoff protocols defined and practiced for every agent-human transition point.

Most of our bootcamps are for non-technical teams. The Simulations are designed as step-by-step guides. Your team doesn't need to code. They need to understand the work, and that's what they already do. Your Nuvepro AI Specialist handles the technical setup.

We're tool-agnostic. The bootcamp works with OpenAI, Anthropic Claude, Google Gemini, Microsoft Copilot, or any industry-specific AI. We build Simulations in GenAI Sandboxes that mirror your production environment.

Training teaches concepts. The bootcamp builds the actual workflow your team will use in production. Your people come out project-ready, not just trained. They've configured the agents, integrated with your systems, stress-tested the handoffs, and proven they can operate independently.

O*NET is the U.S. Department of Labor's occupational database: 894 occupations, each broken into 15-40 discrete tasks. It is the most comprehensive public taxonomy of work in the American economy. APQC (American Productivity and Quality Center) maintains the industry-standard framework for classifying business processes. SFIA (Skills Framework for the Information Age) is the global digital skills framework: 147 professional skills across 7 responsibility levels. We use all three as the foundation for task classification: O*NET for roles (the People Path), APQC for workflows (the Process Path), and SFIA for skills (the Skills Path). SFIA levels map directly to automation decisions: Levels 1-2 are automate candidates, 3-4 are augment candidates, 5-7 are human-led. Your bootcamp is built on this data, not generic AI training content.