What I Do
- Map cognitive operations: frame, research, synthesise, decide, communicate
- Identify bottlenecks and "cognitive friction" points in existing workflows
- Design AI-assisted loops — prompt patterns, checkpoints, and verification steps
- Create reusable playbooks for common tasks (research briefs, synthesis memos)
- Automate movement of outputs into knowledge systems (capture → publish)
- Establish quality gates: verification, citation tracking, assumptions logging
Outputs
- Workflow maps — current state vs. redesigned
- AI prompting playbooks (task-specific prompt packs)
- Quality gates: verification, citations, assumptions log templates
- Reusable output templates: brief → insight → recommendation
- Automation blueprints (e.g. Make.com integration patterns)
Where It Helps
- Analysts producing faster, higher-quality recommendations without accuracy loss
- Teams drowning in documents but lacking shared understanding
- Transforming meetings into structured, actionable decision artefacts
- Scaling high-quality thinking without scaling headcount
How This Connects to Enterprise Transformation
- S/4HANA programmes: workflow design for fit-gap analysis, design authority governance, decision velocity in large-scale rollouts
- AI & Automation: human-in-the-loop quality design — where AI assists and where human judgment is non-negotiable
- Cloud Architecture: traceability patterns — making architectural reasoning explicit and auditable
Proof & Demonstrations
Coming Soon
AI-Assisted Research Workflow
An annotated diagram of a full research-to-recommendation workflow, from question framing through to published output.
Coming Soon
Prompt Pack
10 task-specific prompts with guidance on when and how to use them — covering briefing, synthesis, critique, and communication.
Coming Soon
End-to-End Demo
A single walkthrough: question → brief → memo → published note, showing the full cognitive workflow in action.