Two paths to every task.
Organizations decompose work through hierarchy (who does it) and process (how it flows). Both paths converge at the task, where Task Intelligence examines how people and agents contribute. Use the analysis to inform workflow redesign, simulations and preparation.
Reimagine a WorkflowEvery organization decomposes through two paths
The People Path maps who does what. The Process Path maps how work flows. Both converge at the Task, the atomic unit where AI classification happens.
Every organization answers two questions: who does the work and how does the work flow. The People Path captures the first. The Process Path captures the second. If you only see one, you optimize for half the picture. Task intelligence sees both.
Example: Procure-to-Pay crosses four departments
Each task has a different automation profile, but they share a single workflow. Change one, and the others must adapt.
Task Intelligence Audit
We assess which roles are ready for AI deployment, which need transition support, and what the gaps are. You get a clear picture before committing budget.
Ready to analyze your workforce?
Discuss workflow redesignReadiness Scorecard
Your workforce is scored across five dimensions. You see exactly where AI deployment will succeed, where it will stall, and what to fix first.
Get a detailed assessment of your organization's AI readiness
Workflows cross departments
A single workflow touches multiple departments. Each task has its own automation profile, but they share a process. Change one step, and the others must adapt.
Procure-to-Pay
Task Level
Tasks are the leaf nodes. AI automates some, augments others. Validation happens here.
Fully Automate
AI handles end-to-end
AI Augmented
AI assists, human decides
Human Only
Requires human judgment
From the work to readiness evidence
Understand the work, prepare people through practice, and assess what they can demonstrate. Agent evaluation and operating acceptance need separate criteria.
These examples show how Task Intelligence informs the work. Start with your workflow, review the proposed responsibilities, then agree practice and assessment.
A century of work decomposition
The idea that work should be understood at the task level is not new. What is new is the ability to classify every task for AI at scale. Click any thinker to read the summary.
From the work to preparation evidence
Agree the workflow and responsibilities, choose relevant practice, and review the evidence. Agent evaluation and production acceptance need separate criteria.
Map the Work
We interview the people doing the work for one workflow in your target department. Every task for that workflow is mapped and classified: automate (agents own it), augment (agents assist, humans decide), or human-only (requires expertise agents can't replicate). You get a clear picture of the impact before committing further.
- Complete task map for the chosen workflow
- Classification of every task: automate, augment, or human-only
- Hours saved and cost reduction projections for the workflow
- Readiness gaps identified with specific remediation steps
Design the Split
Your leadership reviews the classification and signs off on the division of work. Nuvepro designs the project readiness plan: GenAI Sandboxes, workflow simulations, and competency validation for each role's new responsibilities.
- Leadership-approved task classification
- Prioritized deployment plan by impact and risk
- Project readiness plan designed for each role's new responsibilities
- Action plan with owners and deadlines
Practise and Assess
Your people practise changed responsibilities in simulations and GenAI Sandboxes. Assessments provide evidence against agreed criteria. Agent evaluation and workflow acceptance are separate checks, and your owners decide when the work is ready for rollout.
- Readiness evidence for the selected responsibilities and participants
- Validated competency for the new operating model
- Defined handoff protocols between agents and humans
- Measurement plan for operating outcomes
Map the Work
We interview the people doing the work for one workflow in your target department. Every task for that workflow is mapped and classified: automate (agents own it), augment (agents assist, humans decide), or human-only (requires expertise agents can't replicate). You get a clear picture of the impact before committing further.
- Complete task map for the chosen workflow
- Classification of every task: automate, augment, or human-only
- Hours saved and cost reduction projections for the workflow
- Readiness gaps identified with specific remediation steps
Design the Split
Your leadership reviews the classification and signs off on the division of work. Nuvepro designs the project readiness plan: GenAI Sandboxes, workflow simulations, and competency validation for each role's new responsibilities.
- Leadership-approved task classification
- Prioritized deployment plan by impact and risk
- Project readiness plan designed for each role's new responsibilities
- Action plan with owners and deadlines
Practise and Assess
Your people practise changed responsibilities in simulations and GenAI Sandboxes. Assessments provide evidence against agreed criteria. Agent evaluation and workflow acceptance are separate checks, and your owners decide when the work is ready for rollout.
- Readiness evidence for the selected responsibilities and participants
- Validated competency for the new operating model
- Defined handoff protocols between agents and humans
- Measurement plan for operating outcomes