Reimagine work with your customers. Prepare their workforce.
Help your customers transform work they recognize, from invoice processing and sales outreach to testing agents and model development. Shape the project around each enterprise’s tools, data and rules. Nuvepro contributes the agreed simulations, bespoke environments and evaluations; customer and partner responsibilities are scoped together.
Choose the partnership around your customer’s work
Start with the work the customer wants to change. Agree each partner’s contribution to the project, delivery and evidence.
Transforming work with your own enterprise teams? Connect the work you need them to build and run to Project Readiness and discuss your work, starting capabilities and regions.
Technical practice your catalogue can deliver
Start with the roles and learner experience, then agree the environment, delivery and acceptance scope.
For a learning-platform partnership, connect your catalogue to practical work. An FDE cohort can practise stakeholder discovery, a bounded build and demonstration; engineers can build a website-testing agent or compare model adaptations for an agreed task. Confirm project content, data, tools and assessment scope. Bring your catalogue and platform requirements so the proposal covers the learner experience as well as the labs.
Practice and assessment deliverables
Agree role levels, scenarios, datasets, expected artifacts and assessment criteria. Review a sample environment and learner journey with your technical and learning owners before sign-off.
Tools, data and environment
Confirm approved tools, licenses, access boundaries, test environments and capacity needs. State who supplies credentials and data, and which dependencies must be available before delivery.
Catalogue and platform publication
Specify the catalogue entry, launch experience, LMS and SSO requirements, learner records and reporting you need. Confirm supported integrations and test acceptance in the scoped proposal rather than assuming they are included.
Budget, acceptance and support
Separate environment and license costs from content and service scope. Agree delivery owners, acceptance criteria, support coverage, escalation and content refresh. Branding and reuse rights need their own agreement.
Ecosystem Positioning
Connect skills intelligence to changed work.
Use your role and skills information alongside the customer's workflow context. Reimagine how people and AI agents work together, then prepare people through simulations and assessments. Task Intelligence is the framework for examining the work.
01
Reimagine the workflow
Define how people and agents share responsibilities, decisions, exceptions and handoffs. Task Intelligence examines the work within each step.
02
Prepare the workforce
People practise their changed responsibilities in simulations and sandboxes. Evaluate agent performance against separate criteria.
03
Review the evidence
Assess demonstrated capability and agree workflow acceptance. Measure operating impact against the business baseline after rollout.
Nuvepro.ai
Start with a business promise and a bounded workflow. Review proposed responsibilities with its owners, define relevant practice and assessment, and distinguish readiness evidence from measured operating impact.
Their context
“What work and skills do we have? Where are the gaps?”
Together
Workflow context + skills + practice + evidence
Nuvepro adds
“How does the work change? Who owns it? What evidence is needed?”
Skills Intelligence & HCM Platforms
The foundation. Your org's existing investment.
Jobs → Skills → People
Workday
HCM + Skills Cloud
SAP SuccessFactors
HCM + Competencies
Eightfold
Talent Intelligence
Phenom
Talent Experience
TechWolf
Work and skills intelligence
iMocha
Skills Assessment
Lightcast
Labor Market Data
Gloat
Internal Marketplace
Systems your customers already use
Customer systems can provide role definitions, skills information and workflow context for preparation. Named products are examples. Listing does not imply a partnership or an available integration. Confirm access and integration scope for each engagement.
Why Both Matter
Skills information helps identify preparation needs. Task Intelligence examines responsibilities within the workflow. Together with domain review, simulations and assessments, these inputs support a readiness decision. Your owners separately evaluate agents and accept the operating workflow.
What each partner brings
For Learning Platforms and Training Providers
Connect technical role practice, lab environments and assessments to your learning catalogue. Agree scenarios, learner levels, artifacts, environment acceptance, platform publication, licenses and support before committing to delivery.
For Model Providers
Connect model capabilities to a customer workflow and its intended improvement. Prepare people to interpret outputs, review decisions, and handle exceptions; evaluate agent behavior separately against agreed criteria.
For Agentic Platform Vendors
Help customers decide how their agents fit into the work. Define responsibilities and handoffs, build realistic practice scenarios, and assess how people operate the proposed workflow before the customer makes a deployment decision.
For Vertical AI Tools
Start with the industry workflow and the customer's operating rules. Practice the decisions, required approvals, and exceptions around your tool using agreed systems, data, and evaluation criteria.
For Industrial AI Platforms
Prepare operators, maintenance teams, and safety officers to work with AI alerts and recommendations. Simulate the interpretation, escalation, and repair decisions in scope while preserving customer safety rules and human authority.
White-Label & Co-Delivery
Offer Project Readiness Bundles, GenAI Sandboxes, and Skill Validation Assessments under an agreed branded or co-delivery arrangement. Define the customer experience, integration, delivery responsibilities, and support scope together.
How the Partnership Works
Start with a customer workflow and the intended change, then agree the project, participant responsibilities and evidence.
Choose the customer work to improve
Choose a bounded industry workflow with the customer. Agree who does what, required approvals, systems, data, interfaces, licenses, and partner contributions before proposing the environment.
Prepare through simulations
Connect the proposed workflow to scenarios, expected artifacts, and assessment criteria. Prepare people through Project Readiness or the 6–8 week AI Bootcamp; evaluate agent behavior separately in the agreed environment.
Review evidence and next steps
Review demonstrated capability with the customer. Agree how any operating impact will be measured after customer-approved implementation. Expansion, continuing support, joint investment, and reuse rights are separately scoped.
Illustrative Partner Engagements
Proposed scenarios for learning providers, models, platforms, and industry tools. These describe engagement shapes, not measured customer results.
Learning Provider: Technical Role Practice
Illustrative engagement: prepare an FDE cohort through discovery practice, a bounded sandbox build and a demonstration. Review the lab, catalogue launch and assessment artifacts; agree platform requirements, license costs, acceptance and support before publication.
Model Provider: Customer Discovery and Delivery
Illustrative engagement: select a customer-facing workflow, define what people and agents may decide, and prepare teams through scenarios that test evidence gathering, output review, and escalation. The customer reviews the evidence before authorizing operational use.
Agentic Platform: Retail Browse-to-Buy
Illustrative engagement: use a bounded retail journey to explore human-agent collaboration across customer requests, stock information, and fulfillment exceptions. Agree the systems, data, interfaces, and licenses before creating scenarios and reviewing their artifacts.
Vertical AI: Contract Review
Illustrative engagement: practice how a legal team reviews an AI recommendation, verifies the supporting clauses, and escalates exceptions. Human legal approval remains explicit; assessment evidence supports a readiness discussion rather than granting decision authority.
Industrial AI: Maintenance Decisions
Illustrative engagement: rehearse how operators and maintenance teams interpret an alert, gather equipment evidence, and hand off a proposed intervention for authorized review. Simulation performance is distinct from evidence of safe operation in the customer's production environment.
Workflow preparation option
Prepare people for new workflow responsibilities
The AI Bootcamp runs for 6–8 weeks, connecting selected workflow responsibilities to simulations, practice, and readiness assessment. Agree scenarios, tools, licenses, and criteria before delivery. The customer retains production approval and operating ownership.
See the AI BootcampAre you a consulting firm?
IT services, vertical boutique, or strategy firm
When you bring the client relationship and domain expertise, agree a white-label or co-delivery scope for workflow analysis, industry simulations, and workforce preparation.
See the Channel Partner Program for Consulting FirmsScope an industry engagement together
Bring the customer work you want to change, such as invoice preparation, application testing or a domain model project. Agree the bounded workflow, systems, data, licenses, project outputs and checks. Commercial contributions, joint investment, and reuse rights are separately agreed.