Turn changed work into something your team can build and run.
Bring the workflow, testing agent or model your team needs to build. Nuvepro provides the scoped project, practice environment and preparation; your people build, check and demonstrate the result. Existing agents can enter directly for evaluation.
Build capability around the work you want to change.
Your finance team may want to generate invoices from approved orders and handle mismatches. Your engineering team may want an agent to test a website and produce reproducible defect reports. Start with that work, the people responsible and the result to check. Shape projects and practice around the relevant enterprise systems, data, business rules and exceptions, using suitable approved tools or a scoped environment.
Human skill assessment, agent evaluation and acceptance of the shared workflow answer different questions. Agree their evidence and owners separately. A learner product alone does not establish agent correctness or operating acceptance.
Connect the work, the practice and the evidence
Tool Adoption
Tool access alone does not show how people will use and review AI in their work.
Scope simulations within the business environment using approved tools. Include output verification, shared state, exceptions and the handoffs people and agents will own.
Workflow Design
Preparation can miss the decisions, operating constraints and handoffs that connect individual activities.
Codify systems, data, business rules and responsibilities. Task Intelligence examines the detailed work; domain experts review whether the environment represents the agreed workflow faithfully.
Measurement
Participation, assessed capability and operating impact answer different questions.
Skill Validation Assessments provide evidence of human capability in defined scenarios. Measure operating impact separately against an agreed baseline.
Practical tools for building and doing the changed work.
Choose the relevant labs, projects and assessments once the work and responsibilities are clear. Existing technical labs remain directly available. Agent execution and evaluation have their own scope.
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
Practise the decisions and handoffs in your workflow.
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
- Criteria defined with workflow owners
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
- Comparison against the assessment criteria
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
- Practice with the tools the role uses
- 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.
Practise and build in GenAI Sandboxes
Your people get hands-on in pre-configured cloud environments with realistic data.
Rehearse with Simulations
Work through decisions, exceptions and handoffs drawn from your workflow.
Demonstrate it in Assessments
EASE-powered assessments provide evidence against the human responsibilities and criteria assessed.
Combine in Project Readiness Bundles
Package practice and assessment for a role or workflow. Your operating owners decide rollout; agent evaluation is a separate check.
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 ProgramFor continuing learning from actual work, explore the Workspace concept, which is under development.
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.
Explore New Roles or Project Readiness. Want to see the program? See the AI Bootcamp