Agentic AI: strategic impact on employee development management

Use case: Employee Development

Unstructured

15 days
(120 hours)
  • Plans built in spreadsheets and scattered emails, with no standard
  • Low visibility into development demands by area and role
  • A lot of rework for HR to understand context and training history
0 %

Structured

7 days
(56 hours)
  • Requests centralized in standardized forms
  • Development history recorded in one place
  • HR gains more control over deadlines and priorities
-40 %

Automated

2 days
(16 hours)
  • Automatic card creation from form submissions
  • Automated notifications and reminders for managers and employees
  • Automatic status updates and completion records for each step
-70 %

Agentic

4 hours
  • AI Agents synthesize development needs in seconds
  • Automatic recommendations of learning paths and content aligned to each profile
  • HR focuses on strategic decisions, not operational analysis for each case

Meet the AI Agents that power the employee development process

From the initial request to the approved learning path, AI Agents reduce HR’s manual work and ensure personalized development plans at scale.

Development intake triage agent

Validates the information submitted by the employee and creates an executive summary for HR and the manager.

Automated Activities:

  • Check whether all required form fields are filled
  • Summarize career goals, development interests, and training history into a short brief
  • Automatically classify the request by area, seniority, and urgency

Career path recommendation agent

Analyzes development needs and suggests next steps based on company guidelines and available learning paths.

Automated Activities:

  • Read the employee summary and map the main development gaps
  • Match needs to existing internal learning paths, courses, and content
  • Flag points that require review by HR or the direct manager

Personalized Development plan agent

Automatically generates the development plan with content, deadlines, and start dates—ready for execution and tracking.

Automated Activities:

  • Build a structured plan with steps, owners, and expected dates
  • Distribute activities across employee, manager, and HR
  • Update the card with the final approved path and trigger communications to stakeholders

See how Pipefy turns employee development into an intelligent workflow.

Stage
Pain points
Automated Activities
AI Agents
Employee development request submission

Pain points

Informal requests in email, chat, or decentralized spreadsheets

Lack of context about training history and career goals

Difficulty prioritizing requests across areas and seniority levels

Automated Activities

Structured data collection via a standardized form (area, role, interests, history)

Automatic card creation in the right pipe for every new request

Notifications to HR and responsible managers as soon as a new demand is registered

Development intake triage agent
Automated triage and AI summarization

Pain points

HR spending time reading long employee explanations

Lack of standardization in analyzing development needs

Risk of divergent interpretations across different HR analysts

Automated Activities

Automatic reading of form data by the Development intake triage agent

Generation of a plain-language summary with key needs and context

Classification of requests into priority queues by area or type of development (technical, behavioral, leadership, etc.)

Development intake triage agent
AI-driven analysis and recommendation with HR review

Pain points

Development plans built manually, employee by employee

Lack of alignment between the suggested plan and company guidelines

Excessive HR time to review, adjust, and negotiate learning paths

Automated Activities

Analysis of needs and objectives by the Learning path recommendation agent

Automatic suggestions of learning paths, content, courses, and activities aligned to internal policies

Flagging of critical points that require human decision-making (budget, role change, special paths)

Learning path recommendation agent
Personalized path generation and execution

Pain points

Difficulty tracking who is in each development stage

Approved plans that “die in a drawer” due to lack of follow-up

No clear indicators for progress and completion across learning paths

Automated Activities

Automatic generation of the learning path with steps, owners, and deadlines by the Personalized plan generation agent

Card updates with the approved path and automatic phase transitions in the pipe

Automated communications and reminders for the employee and manager throughout the path

Personalized plan generation agent

Average time to create development plans reduced

By tracking the SLA from the employee request to plan approval, HR operates with significantly shorter and more predictable timelines, strengthening the internal experience.

Increase in employees with active learning paths

With a structured, AI-supported process, more employees can have formal, active development plans without increasing HR’s operational workload.

Reduced rework in development analyses

Standardized input data and AI Agents’ summaries reduce back-and-forth between HR, managers, and employees, cutting rework when adjusting learning paths.

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What you’ll learn:

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Build forms and portals to centralize requests. Structure pipes and cards to track tasks with clarity and control.

Manage information with ease

Create custom databases and keep all your team’s data up to date and connected.

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Eliminate manual work with automations, AI agents, and email tools that work for you.

Analyze and improve your operation

Create reports, interfaces, and dashboards to visualize metrics, spot bottlenecks, and make data-driven decisions.

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Frequently asked questions

If you need help, we’re here to guide you and provide full support.

How does Pipefy help HR with employee development?
Pipefy centralizes requests, uses AI Agents to analyze development needs, and automates learning-path generation—freeing HR for strategic decisions instead of operational tasks.
Can I personalize development paths inside Pipefy?
Yes. You can configure forms, fields, business rules, and AI Agents to reflect your internal policies, existing learning paths, and different employee profiles.
How do AI Agents support the employee development process?
They validate data, synthesize needs, suggest learning paths, and generate personalized plans—reducing analysis time and ensuring consistency across areas and managers.
Does Pipefy integrate employee development with other HR processes?
Yes. The workflow can connect to onboarding, performance management, promotions, and other HR processes—providing a single view of the employee journey.
Do I need to involve IT to start using the employee development template?
Not necessarily. Pipefy is a no-code platform, so HR teams can configure the template and AI Agents with little or no technical support.
How does Pipefy ensure governance and security when using AI for employee development?
Pipefy provides governance layers, audit trails, and access controls, along with specific policies for AI usage and sensitive data in corporate environments.
Can I track employee development KPIs inside Pipefy?
Yes. You can create reports and dashboards to track active learning paths, step completion, approval time, and other key development metrics.
Does the employee development template work for different industries and company sizes?
Yes. The workflow is flexible enough to be adapted for financial services, technology, retail, manufacturing, shared services centers, and more.
Can I use Pipefy for leadership development and specific career programs?
Yes. You can duplicate or adjust the same template for leadership programs, career acceleration, advanced technical tracks, and talent initiatives.
How long does it take to implement the Employee Development AI Agents and get results?
On average, Pipefy agents are set up in minutes, and use cases—regardless of focus—deliver results in up to 20 days. That makes Pipefy the most agile no-code AI solution on the market.

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