AI-Powered Research & Knowledge Work

Course Introduction

Professionals increasingly rely on AI to search, summarize, compare, and organize large volumes of information. While this can dramatically accelerate research, speed alone does not guarantee reliable knowledge. AI may overlook important context, combine information incorrectly, present unsupported claims confidently, or make it difficult to distinguish original evidence from generated interpretation. Effective AI-assisted research therefore requires a disciplined approach to sources, evidence, verification, and synthesis.

Boost Consulting & Training offers this course to develop practical capability in using AI across the research and knowledge-work lifecycle. Participants learn to define research questions, plan information needs, discover and evaluate sources, extract relevant evidence, compare conflicting information, organize knowledge, identify gaps, verify AI-generated claims, synthesize findings, and transform research into credible professional outputs while maintaining clear traceability to supporting evidence.

The main concept of this course is to use AI to accelerate research and knowledge work without allowing convenience to replace source quality, evidence verification, or professional judgement.

Course Objectives

Translate broad information into focused research questions and requirements.

Develop structured research plans for AI-assisted knowledge work.

Identify and evaluate relevant and credible information sources.

Use AI to extract, organize, and compare evidence from multiple sources.

Detect contradictions, information gaps, and unsupported claims.

Verify AI-generated statements against original source material.

Synthesize complex information into coherent and balanced findings.

Produce traceable research outputs supported by clearly organized evidence.