PhD Researcher & AI Strategist
Augmenting Strategy with Collaborative AI
Bridging human cognitive strengths with Generative AI capabilities to navigate complex decision environments. Developer of the AI-Augmented Strategic Reasoning Framework (AI-SRF).
Academic Biography
Pioneering frameworks for socio-technical decision systems and human-machine strategic coordination.
Bright Sikazwe
I am a PhD Candidate at the University of Johannesburg, affiliated with the Department of Information and Knowledge Management. My research resides at the intersection of Knowledge Governance, Decision Theory, and Human-AI collaboration.
Faced with volatile and complex operating environments, traditional static models fail. My work concentrates on how AI can serve as a collaborative thought partner, helping leaders sense, frame, deconstruct, and iterate solutions dynamically.
Research Pillars
Human-AI Collaboration
Designing workflows where AI is not merely an automated executor, but a dialectical partner that challenges framing assumptions and expands lateral thinking.
Cynefin Framework Applications
Operationalizing Dave Snowden's Cynefin quadrants (Obvious, Complicated, Complex, Chaotic) to dictate how AI is prompted and integrated based on system constraints.
First Principles Thinking
Deconstructing ambiguous business challenges into fundamental truths before prompt generation, preventing LLM hallucinations and alignment drift.
The AI-SRF Model
An interactive walkthrough of the five stages of the AI-Augmented Strategic Reasoning Framework.
Sense & Frame
Determine the system characteristics. We categorize the problem statement using dave Snowden's Cynefin Framework to ensure we match our problem's nature to our solving methodology.
Theoretical Foundations
Recommended AI Collaboration Prompt
AI-SRF Sandbox Simulator
Walk through a live, interactive simulation of the framework to frame and tackle your own strategic problems.
Obvious / Clear
Linear, highly predictable. Cause and effect are clear. Solution rules: Sense - Categorize - Respond.
Complicated
Requires expert analysis. Multiple right answers exist. Solution rules: Sense - Analyze - Respond.
Complex
Unpredictable, emergent patterns. Cause & effect only clear in retrospect. Solution rules: Probe - Sense - Respond.
Chaotic
Turbulent, immediate danger. No clear cause-and-effect relationship. Solution rules: Act - Sense - Respond.
First Principles Breakdown
To solve complex problems without alignment drift, we deconstruct the problem into foundational, undeniable facts before prompting the AI.
Your AI First-Principles Prompt:
Co-creating with Design Thinking
Now we leverage the AI as an ideation thought partner to brainstorm lateral options, ensuring empathy, human-centricity, and diversity of thought.
Your AI Ideation Prompt:
Evaluate Strategic Options
Use the rubric scorecard below to rate the viability of possible response directions for your Cynefin domain.
| Option Pathway | Impact (1-5) | Feasibility (1-5) | Risk Mitigation (1-5) |
|---|---|---|---|
| Pathway A: Standard Optimization | |||
| Pathway B: AI-Augmented Restructuring |
AI-SRF Executive Summary Report
Problem Statement
Reviewing problem...
Cynefin Classification
Complex
Option Scorecard Evaluation
Pathway A: Average 3.3 | Pathway B: Average 4.0
Research & Publications
Academic literature contributing to Information and Knowledge Management domains.
The AI-Augmented Strategic Reasoning Framework (AI-SRF): A Theoretical Framework for Socio-Technical Systems
University of Johannesburg, Department of Information and Knowledge Management, 2025.
This research proposes the AI-SRF framework, an iterative methodology allowing humans and LLMs to interact dialectically. By framing challenges via Cynefin categorizations and resolving them via First Principles deconstruction, it addresses organizational friction points, preventing decision-making paralysis in high-velocity operating environments.
View on ResearchGateGet in Touch
Collaborate on AI strategy, Socio-Technical systems research, or consult on operationalizing AI-SRF.
Contact Information
Feel free to reach out for academic collaborations, speaking engagements, or advisory requests.
bright.sikazwe@uj.ac.za
Affiliation
University of Johannesburg, Dept of IKM, South Africa