The Platform

From redesigned workflows to demonstrated readiness.

Connect workflow redesign to hands-on preparation. GenAI Sandboxes and Simulations let your people practise the responsibilities, decisions and handoffs of the new work. Skill Validation Assessments provide evidence of what they can do. Use approved tools and environments agreed for the work. Evaluate agent behavior and shared-workflow acceptance against their own criteria.

Prepare for the contribution and the handoff.

The new workforce combines people and AI agents. Simulations connect preparation to the workflow they share: decisions, incorrect outputs, exceptions and handoffs. Human assessment, agent evaluation and acceptance of that workflow need distinct evidence and agreed criteria.

Connect the work, the practice and the evidence

Choose preparation around the responsibilities people will carry, then review evidence against the selected workflow.

Preparation question: Tool Adoption

Tool access alone does not show how people will use and review AI in their work.

Agreed approach: Tool Adoption

Use Simulations and agreed environments to practise with approved tools. Include output verification, exceptions and the handoffs people will own.

Preparation question: Workflow Design

Preparation can miss the decisions, operating constraints and handoffs that connect individual activities.

Agreed approach: Workflow Design

Task Intelligence examines work within the workflow. Connect the reviewed responsibilities to relevant practice and assessment.

Preparation question: Measurement

Participation, assessed capability and operating impact answer different questions.

Agreed approach: Measurement

Skill Validation Assessments provide evidence of human capability in defined scenarios. Measure operating impact separately against an agreed baseline.

Two Altitudes

AI transformation has two altitudes

Operating-model platforms redraw the org chart from surveys. Nuvepro works at the altitude where AI actually lands: the task inside each role.

Org chart altitude
Boxes and reporting lines, built from surveys
COO
Ops
Finance
Sales

The simulation ends with a recommendation: a new structure, new decision rights, a multi-year roadmap. The work inside each box stays invisible.

Task altitude
Real work, classified against real AI capability
Financial Analystone role, six tasks
Reconcile transactionsAutomate
Draft variance reportsAugment
Model scenariosAugment
Validate model outputsAugment
Approve exceptionsHuman-Only
Advise business partnersHuman-Only
Automate
Augment
Human-Only

Classification is grounded in a benchmark of millions of real tasks, not self-reported surveys. This is the level where an AI operating model becomes executable.

The Four Products

Each product works on its own. Together, they're the platform that makes your AI tools productive.

GenAI Sandboxes

Build and test in real sandbox environments.

Pre-configured practice environments where people build, test and iterate with agreed tools, datasets and API mocks. Confirm licenses, access and dependencies before delivery. Available at genaisandboxes.com.

Explore GenAI Sandboxes →
  • LLM providers confirmed for the engagement
  • Realistic data and API mocks included
  • Environment snapshots and rollback
  • Scoped agent and handoff test scenarios

Simulations

Execute the new model hands-on.

Scenarios drawn from the responsibilities, decisions and handoffs in your workflow. People rehearse normal work and exceptions, review AI outputs and produce artifacts against agreed criteria. Scope agent contributions and joint-workflow tests separately.

Explore Simulations →
  • Designed around workflow responsibilities
  • Domain-specific scenarios
  • Progressive complexity
  • Mapped to business outcomes

Competency Assessments

Measure execution, not completion.

Skill Validation Assessments examine what people can demonstrate in defined scenarios. EASE supports grading against agreed criteria. Use the evidence to review the responsibilities assessed; it does not establish agent performance or production acceptance.

Explore Competency Assessments →
  • EASE auto-grading engine
  • Scenario-based simulations
  • Evidence for assessed human responsibilities
  • Competency benchmarking
How EASE grades the work

Project Readiness Bundles

Practice and assessment for a defined role.

Combine relevant Simulations, GenAI Sandboxes and Skill Validation Assessments around a role or workflow. Agree learner levels, tools and responsibilities before selecting the preparation path.

Explore Project Readiness Bundles →
  • Role-mapped or workflow-mapped preparation
  • Multi-tech capability stacks
  • Hands-on execution paths
  • Agreed practice and assessment scope

Four Products. One Platform.

Choose the products needed for the work. Connect practice, assessment and the next operating decision.

01
Practice

Learn in GenAI Sandboxes

Your people get hands-on in pre-configured cloud environments with realistic data.

02
Build

Build with Simulations

They tackle real-world challenges designed from your enterprise objectives.

03
Validate

Prove it with Assessments

EASE-powered assessments provide evidence against the human responsibilities and criteria assessed.

04
Review

Review the preparation evidence

Review evidence for the selected responsibilities. Your operating owners decide rollout; agent evaluation and workflow acceptance are separate checks.

6–8 weeks
AI Bootcamp duration; scope agreed around selected work

As the workflow and workforce evolve

Agree the support your workflow needs

Agree support scope and response commitments separately from the AI Bootcamp. Review agent performance and the human responsibilities around it as the workflow evolves.

See the Sustainment Program

Start with the work your people will own. Connect practice to readiness evidence.

Agree one workflow and the responsibilities your people need to perform. The 6 to 8 week AI Bootcamp uses Simulations, agreed tools and environments, and assessments for evidence of human readiness. Production rollout and ongoing support are separately scoped.

We designed this methodology to address the structural risks of AI adoption within the selected workflow.

Explore New Roles or Project Readiness. Want to see the program? See the AI Bootcamp

Frequently Asked Questions

Learning platforms organize and deliver learning. Nuvepro adds hands-on environments, Simulations and assessment evidence for defined work. Agree how these experiences connect to your learning platform and which responsibilities the evidence covers.
They work independently, but they're designed as a system. Start with the workflow, learner needs and approved tools, then choose practice environments, Simulations and assessments. Project Readiness Bundles combine relevant preparation for a defined role. You can start with one and expand.
Discuss the provider and tool access your scenarios require, including OpenAI, Anthropic, Google Gemini, AWS Bedrock or Azure OpenAI. Confirm supported configurations, licenses, credentials and data requirements for the engagement before delivery.
The AI Bootcamp runs for 6 to 8 weeks. Start with the workflow, define changed responsibilities, practise in agreed environments and assess demonstrated capability. Production integration, security review, acceptance and rollout remain with your organization and are separately scoped.