KNOWLEDGE OPERATIONS
AI Knowledge Base Gap Analyzer
Client-facing analysis software that examines recurring operational issues, compares supplied knowledge sources, identifies likely root causes, and keeps authority decisions under human review.
CAREER PORTFOLIO · AI OPERATIONS · KNOWLEDGE SYSTEMS
Taylor Sydney
I design operational systems around AI: how information is governed, how workflows are improved, where automation belongs, how human judgment is preserved, and how AI-enabled work is tested and maintained.
AI OperationsKnowledge ManagementWorkflow ImprovementDocumentation OperationsAI Governance
SELECTED SYSTEMS
Working systems, not concept slides.
Each project demonstrates a different layer of AI-enabled operations: diagnosing workflow problems, governing organizational knowledge, and turning recurring operational signals into structured improvement work.
WORKFLOW INTELLIGENCE
AI Workflow Audit
Browser-based assessment system that maps current work, scores workflow maturity, identifies primary constraints, evaluates automation readiness, and designs governed future-state workflows.
KNOWLEDGE GOVERNANCE
Knowledge System Control Center
Governed knowledge platform foundation for authority, lifecycle, ownership, review, dependencies, AI retrieval eligibility, health monitoring, permissions, and audit history.
WHAT I PERSONALLY DO
From operational problem to governed system.
Translate recurring support, workflow, documentation, or knowledge problems into clear system requirements and measurable operating questions.
Map current-state work, source-of-truth relationships, handoffs, decision points, review states, and future-state operating models.
Define what AI may analyze or retrieve, where human review is required, how source conflicts are handled, and what must never be automated blindly.
Use AI-assisted development workflows to turn requirements into functional interfaces, structured logic, data models, prompts, and deployable applications.
Test edge cases, evidence handling, privacy controls, structured outputs, fallback behavior, permissions, and documented versus actual runtime behavior.
Create operating procedures, help content, source-of-truth rules, training structures, implementation notes, and client-ready explanations.
AI-assisted development, human-owned decisions
I use AI as an implementation accelerator. I own the business problem, requirements, workflow architecture, governance model, acceptance criteria, review decisions, testing, debugging, and deployment choices. I do not present AI-generated output as proof by itself; the proof is the working system and the reasoning behind it.
PROFESSIONAL BACKGROUND
Built on real SaaS operations and support work.
My background includes SaaS customer and support operations, technical workflow troubleshooting, knowledge and documentation work, cross-functional issue investigation, process improvement, and translating recurring customer or employee friction into clearer operating systems.
Hands-on work with customer operations, support workflows, issue triage, internal knowledge, escalations, and coordination across product and operational teams.
Completed professional training in structured analysis, data preparation, interpretation, and communicating findings.
Completed professional training covering automation concepts, Python-based problem solving, and operational tooling.
OPERATIONAL + TECHNICAL TOOLKIT
A cross-functional AI Operations profile.
AI Operations & Governance
Human-in-the-loop design, source authority, retrieval eligibility, evidence strength, knowledge lifecycle, prompt safety, sensitive-data controls, testing, monitoring, and operational QA.
Knowledge & Documentation
Knowledge architecture, SOP systems, Help Center structure, documentation gaps, source-of-truth management, taxonomy, review ownership, lifecycle controls, and knowledge health.
Workflow & Process
Current-state mapping, root-cause analysis, bottleneck diagnosis, handoff design, automation readiness, future-state workflows, implementation roadmaps, and process improvement.
Application & Deployment
GitHub-based version control, React/Vite application work, browser-based systems, Cloudflare Pages, Cloudflare Pages Functions, API integration patterns, structured JSON/CSV outputs, and iterative debugging.
PROFESSIONAL FIT
Roles where this work is most relevant.
AI Operations · AI Enablement · Knowledge Management · Documentation Operations · SaaS Operations · Workflow Improvement · AI Support / Enablement
Résumé: provided with application materials. This page is designed to complement, not replace, the résumé.