workflow-analysis

AI-powered workflow diagnostic tool that turns messy process descriptions into structured operational reports.

Semantic verifier and sandbox for GitHub Actions, GitLab CI, Azure Pipelines, and CircleCI

Ethical prospect-intelligence and sales-prep cockpit built with Native.Builder for public business research, workflow discovery, pain-point mapping, stakeholder analysis, and CRM-ready Natively Profit Builder planning.

Case study on traditional sales workflows, CRM foundations, BANT qualification, ABC analysis, and analog customer management systems.

Business Process Modeling portfolio using BPMN 2.0 and DMN decision tables. Includes real administrative workflows and rule-based decision logic.

Business Analysis case study focused on optimizing fragmented HR operations within a global FMCG organization through centralized HR systems and process standardization.

Analyze Git repositories for recurring developer toil and recommend the smallest useful automation.

One-workflow decision audit (US$199 fixed scope) and focused Node.js / TypeScript fixes

Human in the Map v1.6 · reconstructing one AI workflow and measuring the distance between the declared and the established · the EU AI Act gate framework v1.3 downstream of it · TRANSITION.md records why the object changed in August 2026 · MIT

Python and SQL workflow for validating synthetic intake data, preserving uncertainty, routing review-required records, and producing traceable results.

Professional portfolio for Tyler Windes - systems analysis, workflow validation, SQL backed evidence, and implementation ready documentation.

SHAM (System Health & Architecture Monitor) is a framework for observing how software systems change over time by tracking risk introduced, system stability, recovery behavior, and surrounding context. It helps make structural health and invisible work visible as systems evolve under real-world constraints.

Reviews enterprise workflows for responsibility, evidence, authorization, handoffs, exceptions and human decision gates.

Governance-first tool for analysing risk, fragility, and oversight gaps in AI-supported workflows

AI-assisted workflow analysis for identifying processes worth improving or automating.

Operational maturity assessment dashboard demonstrating business analysis, workflow engineering, operational transformation, governance, and systems-thinking capability.

Business Requirements Document (BRD) and process optimization case study focused on improving brewery operations through workflow automation, inventory management, and process standardization.

Understand how a business actually works before deciding what AI should automate: evidence-gated discovery, workflow mapping, material analysis and shadow-pilot design.

Research toolkit for collecting and analyzing GitHub Actions supply-chain trust cascades.

Case study and process digitalization project for a hypothetical company "AGRI". Contains BPMN modeling and recommendations for transitioning operations towards modern ERP and CRM solutions.