Model and workflow for AI-assisted insight work
Model, architecture and workflow

AI-assisted insight and content engine

How can AI structure knowledge and develop better insight and communication?

The project is a structured workflow to collect, assess, rank and process insight into better professional content, leadership communication and decision foundations. The core is insight structure, knowledge work and editorial flow — not automatic text production. The solution is developed as a model and practical demonstration with human editorial control.

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The solution is developed as a concept prototype and portfolio demonstration — not presented as a production-ready system.

The challenge the project addresses

Many leaders, advisers and professionals collect large volumes of insight, reports, articles, meeting notes and reflections. The challenge is that knowledge often becomes fragmented, hard to retrieve and demanding to translate into concrete communication or action.

The model and workflow

The insight engine follows an editorial workflow in five steps:

  1. Collection

    Sources and insight are collected from knowledge base and external sources.

  2. Assessment

    Relevance and quality are assessed and categorised.

  3. Angle

    Possible angles and core messages are identified.

  4. Draft

    Structured draft is built as a basis for editorial processing.

  5. Editorial control

    Human quality assurance, adaptation and approval.

What has been developed

  • Model for insight collection and categorisation
  • Ranking of relevant sources
  • Suggestions for core angle, headlines and drafts
  • Support for editorial processing and publishing
  • Core engine for further agentic development

Core steps and components

Source insight

Developed

Link to existing knowledge base.

Relevance assessment

Developed

Ranking and scoring of sources.

Draft generation

Developed

Structured draft for editorial further processing.

Editorial QA

Developed

Human control before publishing or sharing.

How the workflow works

  1. Start

    The user chooses topic, question or source.

  2. Search and assess

    The model searches the knowledge base and assesses relevance.

  3. Build draft

    Structured draft is suggested for editorial processing.

  4. Adapt and publish

    Editor adapts audience, channel and purpose.

Possible application areas and relevance

Knowledge work

Professional content, leadership communication, market insight and internal learning.

For employers

Shows how AI can structure professional work and make insight more operational — without autonomous publishing.

Status, maturity and limitations

Developed model and practical workflow for AI-assisted insight work and content development with human editorial control. Not presented as an autonomous publishing engine or implemented client system.

Further development and scalable application

Further development of the model

  • Automated source collection
  • Better ranking and scoring
  • Editorial calendar and approval flows
  • More content formats

Adaptation to functions and industries

  • Thought leadership and messaging development
  • Internal knowledge base and professional communities
  • Leadership, sales, HR and professional services firms

Marius Ottesen

Commercial leader and AI strategist

Develops business-oriented models, workflows and concepts at the intersection of commercial leadership, decision support, knowledge work, technology and practical AI.

Explore the project further

Get in touch if you would like to discuss how AI can make knowledge bases, professional content and leadership communication more operational.

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