Ahmed Faisal Halabi
Lamtix | AI workflow audits before you build
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AI Workflow Decision Audit — Illustrative Case Study
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I designed a 25-sheet business operations ledger to keep a multi-platform digital portfolio auditable.
It separates collected revenue from views and leads; reconciles paid and pending expenses; and connects approvals, product assets, opportunities, unit economics, source evidence, and formula checks.
My role: operating-model design, spreadsheet architecture, measurement rules, QA, and reconciliation. Vanity metrics are never booked as income.
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I authored and published Decision-Ready Automation, a practical field guide for deciding whether an AI-assisted workflow should go, hold, enter a controlled pilot, or stop.
It includes a one-hundred-point opportunity screen with hard stops, risk-adjusted economics, human-review design, six worked workflow audits, thirty bounded candidates, and reusable decision records.
My role: research, technical writing, editorial QA, visual system, and KDP production.
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I created a downloadable AI Automation Audit Kit for consultants and small teams. It packages an opportunity screen, conservative ROI and payback model, permission mapping, failure-mode tests, human gates, pilot controls, and client-delivery templates.
The product is designed for offline, private use and reproducible decisions—not automatic approval or guaranteed savings.
My role: research, spreadsheet and product design, documentation, QA, and release packaging.
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