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AI Assessment gives you a verified baseline of how your people actually work with AI — by team, function and role — and what to build first.

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AI Transformation takes your teams from a measured baseline to changed ways of working — and keeps them there as AI keeps moving.

From pilots to real AI adoption

Scale AI across your organization.

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Research, guides and tools for teams adopting AI

From pilots to real AI adoption

Scale AI across your organization.

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You invested in AI. Is it working?

Ten minutes to a clear answer.

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Map how the work gets done, see where AI should take over next

Team leads get one view of how work happens across the team, which workflows to change first, and whether those changes reduce completion time and rework or help the team deliver more.

  1. Evolve Work brings individual workflows into one team view, showing recurring work, handoffs, areas of high load, existing AI use, and the processes that still depend on undocumented knowledge.

  2. The product identifies where agents can create value and prioritizes each opportunity against the metrics the team already tracks, such as cycle time, rework, or throughput.

  3. Each workflow documents what an agent can handle, where a standard must be defined first, and where a person still needs to review, decide, or remain accountable.

Workflow visibility

A unified map of how the team works

Evolve Work brings individual workflows into one team view, showing recurring work, handoffs, areas of high load, existing AI use, and the processes that still depend on undocumented knowledge.

Opportunity prioritization

A roadmap tied to delivery metrics

The product identifies where agents can create value and prioritizes each opportunity against the metrics the team already tracks, such as cycle time, rework, or throughput.

Human oversight

A record of where human judgment stays

Each workflow documents what an agent can handle, where a standard must be defined first, and where a person still needs to review, decide, or remain accountable.

How it works?

From workflow mapping to implemented change in four stages

Stage: Map

01 Map each person’s workflows

With the team’s permission, an agent maps how each person works across their tools. A short AI interview fills in the gaps.

Stage: Connect

02 Build the team workflow map

Individual workflows join into one team map: recurring work, handoffs, high load, current AI use and undocumented steps.

Stage: Plan

03 Create a staged roadmap

The team lead picks the metrics to improve. Evolve Work shows what moves to agents, where judgment stays and who owns it.

Stage: Implement

04 Put changes into practice

Owners build agents in chat and approve each output. Nebius Academy experts help until each change is live and measured.

What your organization gets

Track workflow changes against delivery metrics

Leaders can see which changes were implemented, who owns them, and whether they improved cycle time, rework, throughput, or another agreed metric. The same process can be repeated across the organization.

Validate Evolve Work with a one-team pilot

The pilot includes one mapping session per person and one conversation with the team lead. It produces a team workflow map, a staged roadmap, named owners, and the delivery metrics that will be used to evaluate each change.

The map uses information from the tools where the team already works, supplemented by a short AI interview.

Each person reviews and corrects their own workflows before they are included in the team map.

Each change is evaluated using cycle time, rework, throughput, or another metric the team lead already reports.

Frequently asked questions

An AI workflow is a sequence of tasks in which AI supports, performs, or coordinates part of the work. AI may classify information, produce an output, recommend a next step, or complete defined actions. Evolve Work maps these workflows and defines what AI can handle, what needs a standard, and where human judgment remains.

AI workflow mapping documents how work moves across tasks, people, systems, decisions, and handoffs. Evolve Work combines information from the tools a team already uses with a short AI interview and participant review to produce individual workflow maps and a unified view of the team’s work.

Process mining uses structured event logs to reconstruct and analyze processes. Workflow mapping also captures cross-tool handoffs, informal steps, exceptions, and human decisions that may not appear in system logs. Evolve Work uses this broader view to build a roadmap for agents, standards, and human involvement.

Strong candidates usually involve recurring work, accessible information, measurable friction, and clear review points. Organizations should also consider business value, implementation effort, data availability, and risk. Evolve Work evaluates opportunities in the context of the team’s real workflows and organizes them into a staged roadmap tied to delivery metrics.

Evolve Work delivers individual workflow maps, a unified team workflow map, and a staged roadmap tied to delivery metrics. The roadmap identifies what can move to agents, what needs a standard first, where human judgment remains, and who owns each proposed change.

No. Evolve Work maps how work is structured, not how well an individual performs. Each person reviews and corrects their workflows before they enter the team map. Evolve Work does not score employees or use workflow information to evaluate individual performance.

A pilot covers one team. Each person completes a mapping session, and the team lead selects the delivery metrics that should improve. The team workflow map and staged roadmap are typically produced within two weeks. Implementation support continues as owners put the proposed changes into practice.

Start with a one-team pilot

In two weeks, receive a team workflow map and a staged roadmap tied to your delivery metrics, followed by support to implement the proposed changes.