Work Transformation

Prepare your workforce for the new work.

The new work brings people and AI together.

AI is changing roles and workflows. Workflows are where people and agents work together. We help you reimagine that work and prepare for it through simulations and readiness evidence. Revisit readiness as AI capabilities and the work change.

How we reimagine work
Prepare your people

Based on The Agentic Enterprise, the new book from Nuvepro.

Workflow redesignHands-on simulationsSkill validation

Trusted by enterprises and EdTechs

  • TCS
  • Infosys
  • Wipro
  • Capgemini
  • HCL
  • LTIMindtree
  • Persistent
  • Skillsoft
  • Great Learning
  • upGrad
  • PwC
  • EXL
  • Genpact
  • Zensar
  • Tech Mahindra
  • Maveric
  • Microland
  • Edureka
  • Mphasis
  • Virtusa

A role in the new workforce

Prepare Forward Deployed Engineers to discover, build and run the new work.

FDEs connect business needs with working AI solutions. Practise conversations with simulated stakeholders, define a bounded problem, build with the provided data and tools, and demonstrate the result against agreed criteria.

Explore FDE conversation simulations →Discuss FDE readiness →
Sample discovery conversation: a learner asks who owns client feedback and the approved brief; the simulated campaign lead explains a version handoff gap.
Sample simulation screen with fictional scenario data. Practise finding the problem and the handoff before proposing a solution.

What our customers say

Customers on hands-on practice and talent development.

Explore Project Readiness →

TCS

Any learning is incomplete if it is not amply practiced and assessed in a real-world like environment.

Janardhan Santhanam

Global Head, Talent Development at TCS

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Any learning is incomplete if it is not amply practiced and assessed in a real-world like environment. At TCS, we want our employees to get hands-on experience so they can effectively use that learning to design transformational solutions for our customers' real life business problems. Hand-on labs like the ones Nuvepro helped us rapidly set up, deliver a balanced learning of theory and practice. The scalability and flexibility in setting up a production-like environment.

Genpact

Our collaboration with Nuvepro for their Playground Labs reaffirms our ongoing commitment to build talent for the future and enables them to continue creating value for our clients while building career resilience.

Sreekanth Menon

AI/ML Global Practice Lead, Genpact

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At Genpact, one of our key pillars of success has been the sustained investment in the learning and development of our employees to build critical new skills in areas such as digital, data, and analytics that are needed in a changing world. Our collaboration with Nuvepro for their Playground Labs reaffirms our ongoing commitment to build talent for the future and enables them to continue creating value for our clients while building career resilience.

Tech Mahindra

With our partnership with Nuvepro, we are looking to further strengthen the base by investing in niche skills to build a future-ready talent ecosystem.

Harshvendra Soin

Global CPO & Head of Marketing at Tech Mahindra

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At Tech Mahindra, we are focused on supporting the digital transformation journey of our customers across the globe by providing relevant solutions powered by emerging technologies such as cloud. In all this, our tech talent serves as a pillar of support. With our partnership with Nuvepro, we are looking to further strengthen the base by investing in niche skills to build a future-ready talent ecosystem.

Excerpts from testimonials previously published on Nuvepro.com. Names and roles shown as published.

Reimagine the workflows your teams already run.

Your teams may already use AI. Define how their work fits together, where human judgment matters and what they need to rehearse.

Illustrative workflow

From a campaign brief to client-ready creative.

Sales and creative teams already use AI. Reimagine how the brief, research, pitch, scripts and client revisions move between them.

  1. People

    Brief

  2. AI

    Draft

  3. People

    Creative review

  4. People

    Client feedback

  5. People + AI

    Revision

Client feedback returns to the draft for revision.
AI and agent contribution
Prepare pitch options, scripts and revision summaries using the agreed brief and source material.
Human responsibility
Sales clarifies the client need. Creative specialists check the idea, language, pronunciation and authenticity. The client reviews the final work.
What the simulation tests
Rehearse a rejected draft: the output follows the brief, but the voice or pronunciation feels wrong. Check the AI contribution, the specialist review and how client feedback reaches the next version.
Explore media workflows →

Illustrative workflow

From investigation evidence to a reviewed report.

Investigators use their approved AI tools to review evidence and write findings. Reimagine how source records, analysis, drafting and human review connect.

  1. People

    Source evidence

  2. AI

    Draft findings

  3. People

    Verify sources

  4. People

    Review report

  5. Client

    Decide next action

Unsupported findings return to the draft for correction.
AI and agent contribution
Organize the approved evidence, suggest connections and draft findings with references to the source records.
Human responsibility
The investigator verifies the findings, checks confidentiality and relevant policies, and prepares the report for human review. The client decides the next action.
What the simulation tests
Rehearse a convincing draft that overstates the evidence. Check its source references, the investigator's verification and the handoff to the authorized reviewer. Correct unsupported conclusions and identify what needs further investigation.
Discuss investigation and report practice →

Illustrative redesign and practice scenarios. Agree the workflow, tools, responsibilities and acceptance criteria for your organization.

Task Intelligence provides the detail behind the redesign: what AI can handle, where people and agents work together, and where human judgment stays essential.

Reimagine the work. Rehearse it. Review readiness.

Start with a role or workflow. Connect the design, the practice and the evidence your operating owners need.

01

Define how the work changes

Agree the outcome, available tools and data, and the responsibilities of people and agents. Keep decision authority, source evidence and handoffs explicit.

Reimagine a workflow →

02

Practise working together

Use simulations to rehearse decisions, exceptions and handoffs. Prepare people for their responsibilities and agree how the agent contribution will be evaluated.

Explore Project Readiness →

03

Review the evidence

Assess human capability, agent behavior and the shared workflow separately. Your owners decide what is ready for use. Revisit affected scenarios as tools, agents or responsibilities change.

Understand workforce readiness →

Prepare your people for the selected work through the 6 to 8 week AI Bootcamp. Agree agent evaluation, operating acceptance and continuing support in scope.

New Roles explorer showing AI Engineer, Applied AI Architect and Forward Deployed Engineer, with market postings and responsibility classifications.
New Roles explorer, captured 3 October 2026. Browse the current data for source context and updated counts.

The evidence behind the change

See how roles are changing.

Explore emerging responsibilities in the market. Use the evidence to discuss what your people need to practise for your selected work.

Explore new roles

Engagement scope and external research

6–8 weeks
AI Bootcamp duration
88%
of workers don't trust their employer to prepare them for AI (Guild)
$8.5T
in unrealized revenue by 2030 from talent shortages (Korn Ferry)
30%
workers below the observed Claude usage threshold (Anthropic, 2026)

Research figures describe their source populations and are not outcomes promised for your organization. Define your baseline and criteria for the selected work.

Observations from live audits: Field Truth. Where this leads: The Agentic Enterprise, the book behind the method.

Frequently Asked Questions

Tool capability is one part of the question. Results also depend on the workflow, available data, decision ownership and how people use and review AI outputs. Start with the work you want to improve and the tools approved for it. Nuvepro helps review responsibilities and handoffs, then scope simulations and preparation against the gaps.
AI-augmented work uses AI to assist people. An AI-first approach deliberately reviews how people and agents contribute to the workflow, with clear responsibilities, evidence, decision authority and handoffs. Neither label establishes readiness or business impact; those need evidence for the work you intend to operate.
The AI Bootcamp runs for 6 to 8 weeks. Agree the workflow, roles, practice scenarios and assessment criteria first. Evidence covers the responsibilities assessed. Production rollout and ongoing support are separately scoped.
AI can change responsibilities within existing roles and create new roles. Some people may need to supervise outputs, handle exceptions or build and maintain the workflow. Start with their experience and the work they will own, then assess the preparation needed. Staffing and headcount decisions remain with your organization.
Changed work needs managers and operating owners who understand the responsibilities, handoffs and evidence behind it. Discuss manager preparation, team communication and adoption support alongside the workflow. Agree which activities Nuvepro supports and which your organization owns; the scope depends on the engagement.
Nuvepro connects workflow redesign to hands-on preparation and demonstrated readiness. Your people practise the responsibilities and handoffs they will carry, using approved tools and environments agreed for the work. Task Intelligence informs the design; simulations and assessments make the preparation concrete. Delivery and ongoing support are scoped to the selected work.