Data & AI

Job Role to AI Agent Mapping

Data & AI

Motivation

The AI Hybrid Workforce is a heterogeneous team composed of both humans and AI agents. It operates in a collaborative environment where AI agents augment human capabilities by autonomously handling simple, repetitive tasks. As a result, human team members can focus more on complex, high-value activities. This division of labor significantly enhances the hybrid team's performance in terms of scalability, efficiency, and effectiveness, when compared to a team composed solely of humans. To get maximum ROI on a new AI agent, it is important during the agent design phase to have a complete description and understanding of the job role that the agent will support. The responsibilities, tasks, and decision contexts of this role form the foundation for identifying opportunities where AI agents can provide augmentation and automation. This offering takes a job role (e.g. HR Generalist, Product Manager, Software Developer) as a starting point and maps out the tasks that this job role performs in your business processes. The singular tasks are then evaluated according to various criteria such as, relevance to the role’s objectives, suitability for AI augmentation, and potential business impact following implementation. A prioritized list of tasks is then used as the basis for an implementation roadmap and strategy.

What we bring

20 years of experience with software and data architectures for many of the world’s largest enterprises has generated the expertise needed for PRODYNA to help you design and develop applications in the public cloud. With this offering we will assist you with:

  • Expertise in AI agent design, process automation, and enterprise AI strategy.
  • Structured frameworks for process discovery, use case evaluation, and prioritization.
  • Best practices & examples from successful AI agent implementations.
  • Neutral facilitation and visual documentation of results.

What you need

To make the workshop successful, we rely on your team’s business knowledge and openness to share and challenge existing ways of working. The following elements are essential:

  • Key business stakeholders with deep process knowledge
  • Willingness to challenge existing workflows and explore new approaches
  • Cross-functional participation from Business, IT, HR, and compliance

What you get

By the end of the workshop, you will have:

  • A shared vision for the AI agent which is aligned with your business goals.
  • A verified definition of the tasks performed by the chosen job role in your organization.
  • Role-based activity maps highlighting inefficiencies and automation opportunities.
  • High level data, architecture and governance review.
  • An evaluation of each individual task with regards to the suitability for AI augmentation and the potential impact on business value.
  • A prioritized list of the tasks belonging to this job description that can be potentially AI augmented.
  • A roadmap for implementing the AI agent in your organization.

PRODYNA will guide you and your employees through the process in the following phases:

AI Target Vision & Goals

  • Briefing on AI agent capabilities and role-based augmentation.
  • Alignment on scope: confirm selected roles/functions for analysis.
  • Clarify expectations, success criteria, and strategic alignment.

Deliverable: Shared AI agent vision statement, role scope definition, and value criteria.

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Opportunity Envisioning

  • Review job description, tasks, and existing documentation.
  • Conduct targeted interviews with key role holders.
  • Map out recurring tasks, decision contexts, and inefficiencies.
  • Apply Jobs-to-be-Done thinking to structure the task inventory.

Deliverable: Role-based activity maps with pain points and JTBD inventory.

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AI agent Ideation

  • Perform ideation using the “AI Colleague” perspective.
  • Generate candidate AI agent concepts per identified task type.
  • Link concepts to capability patterns (Knowledge Access, Information Synthesis, Decision
  • Support, Coordination).

Deliverable: Catalogue of tasks that are suitable for AI augmentation mapped to role JTBD.

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Prioritization & Data/Architecture Review

  • Perform ideation using the “AI Colleague” perspective.
  • Generate candidate AI agent concepts per identified task type.
  • Link concepts to capability patterns (Knowledge Access, Information Synthesis, Decision
  • Support, Coordination).

Deliverable: Catalogue of tasks that are suitable for AI augmentation mapped to role JTBD.

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Stakeholder Engagement

  • Facilitate focused dialogue between Business, IT, and Compliance.
  • Present scoring outcomes and gather validation/adjustments.
  • Capture stakeholder concerns, requirements, and governance implications.

Deliverable: Stakeholder alignment canvas with responsibilities, governance principles, and success metrics.

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AI Agent Adoption Roadmap

  • Select the top-ranked agent tasks.
  • Create user stories for the individual agent tasks.
  • Draft a roadmap for additional opportunities: quick wins, mid-term scaling, long-term strategy.

Deliverable: A roadmap for the implementation of the AI agent.

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Quick facts

  • Duration: 5 business days
  • Participants: up to 12 (Business, IT, Compliance/Operations) – only in selected touchpoints (kick-off, validation, alignment)
  • Format: consulting-led, outcome-focused, with targeted interactive sessions for validation and alignment

Benefits

  • Discovery of high-impact AI augmentation opportunities at the role level, grounded in actual responsibilities and tasks.
  • Consulting-driven analysis that minimizes client effort while ensuring stakeholder validation where required.
  • Systematic Jobs-to-be-Done approach to uncover inefficiencies, repetitive tasks, and opportunities for automation.
  • A scored and prioritized portfolio of AI agent opportunities, balancing business impact, feasibility, and governance.
  • A roadmap for implementing the AI agent.

Want to hear more?

Contact me

Lukasz Obst

Lead Data Architect
Dusseldorf
Contact me
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