How AI Can Transform Knowledge Processes: From Lost Documents to Experts Available to Everyone
By Pedro Sonda, dooop
AI can transform knowledge processes such as opinions, technical analyses, proposals, research, and documentation in three ways: making company knowledge easy to find, helping apply it to new cases, and accelerating document production. The most important effect is distributing what experts know to those who are just starting. The condition for this is having an organized, updated knowledge base with responsible owners, because AI reproduces both good and outdated knowledge.
Updated in October 2026.
Knowledge Management Is Already One of the Main Uses of AI
In McKinsey's global research, organizations most frequently scale AI in IT, knowledge management, and software engineering (McKinsey, 2026). In finance, knowledge management was the most cited AI use in 2025, by 49% of functions using AI (Gartner, 2025).
Those Who Benefit Most: The Less Experienced
| Study | Result |
|---|---|
| 5,179 attendants supported by generative AI | Average productivity increase of 14%, and 34% among the less experienced, with minimal effect among the most experienced (Brynjolfsson, Li, and Raymond, NBER) |
| 453 professionals in writing tasks | 40% reduction in time, 18% increase in quality, and decrease in performance gap among professionals (MIT News on Noy and Zhang, 2023) |
Interpretation: AI acts as a means to transfer to less experienced individuals the knowledge that previously depended on years of practice or access to experts. For companies that rely on a few key people, this reduces bottlenecks and risks.
dooop Framework: The Knowledge Cycle in 5 Steps
| Step | Common Problem | How AI Helps | Human Responsibility |
|---|---|---|---|
| 1. Capture | Knowledge remains in emails, meetings, and people's heads | Transcribe and summarize meetings; record decisions and lessons learned | Decide what is worth recording |
| 2. Organize | Duplicate documents, conflicting versions | Classify documents; point out duplicates and contradictions | Define the official version |
| 3. Find | No one finds the right document | Assistant that answers questions based on internal documents, citing the source | Ensure only valid documents are in the base |
| 4. Apply | Adapting knowledge to a new case takes time | Draft opinions, proposals, and analyses based on previous cases | Review, adjust, and take responsibility for the result |
| 5. Update | Documents become outdated | Alert about old or contradictory documents with new rules | Maintain owners for each knowledge area |
Step 5: The Most Neglected
An assistant based on outdated documents gives wrong answers with an official appearance. Before launching an assistant, define who is responsible for each set of documents and how often they are reviewed.
Examples of Knowledge Processes
| Area | Process | Opportunity |
|---|---|---|
| Legal | Contract analysis | Highlight clauses outside the company standard model |
| Engineering and Quality | Failure investigation | Find similar occurrences and previously applied solutions |
| Professional Services | Proposals and diagnostics | Draft based on similar previous projects |
| HR and Training | Onboarding | Assistant that answers new employees' questions |
| Sales | Technical responses to clients | Answers based on approved documentation |
Precautions
- Confidentiality: control who accesses which documents, including through the assistant.
- Source citation: answers must indicate the source document so they can be verified.
- Dependency: the goal is to extend the expert’s reach, not to diminish people’s development. Beginners still need to understand why answers are given.
What to Do Now
- Choose a knowledge process that depends on few people and generates a queue.
- Organize the document base of that process, with official versions and responsible owners.
- Test an assistant with a group of beginners and measure time and quality.
To map knowledge processes with AI potential, learn about dooop’s discovery at dooop.com.br/discovery-de-oportunidades-de-ia.
Frequently Asked Questions
Can I put all company documents into an AI assistant? It is not recommended. Outdated, confidential, or contradictory documents generate wrong answers and access risks. Start with a small, well-maintained set.
Will AI replace experts? It tends to extend their reach. Knowledge still comes from experts, who take on more roles in reviewing, updating, and solving new cases.
Also Read
- How to Transform AI into a Specific Business Capability
- How to Identify Repetitive Tasks That Can Use AI
- How to Identify AI Opportunities in HR
About dooop
dooop is a consultancy based in Caxias do Sul (RS) that prepares leaders and organizations to transform artificial intelligence into business capability through strategy, governance, and training.
