Tax Reform Delivery Model
A delivery model that made AI adoption repeatable under pressure.
Context & Constraints
Brazil’s Tax Reform represents one of the most complex regulatory transformations in history, creating an exponential increase in client demand for KPMG.
The existing delivery approach was not designed to scale under this pressure. Teams needed to deliver complex projects with efficiency and consistency, while effectively adopting AI as an accelerator, not a parallel experiment.
Architecture
Redesigned the Service Delivery Model (SDM) into six structured phases (Business Context, Kick-off, Pre-Workshop, Workshops, Impact Matrix, Action Plan). To operationalize this, I created role-based AI accelerators (personas, prompt banks, templates) embedded directly into consultants' workflows for each phase.
My Role
Redesigned the end-to-end Service Delivery Model. Translated consulting methodology into structured, AI-enabled workflows. Developed AI accelerators and authored practical execution manuals.
Results & Validation
6-phase AI-enabled delivery lifecycle
Role-based AI personas (e.g., Impact Analyst)
Standardized prompt banks & execution templates
Drove 30-80% efficiency gains in specific workflow tasks. AI alone does not solve scale; process does. By embedding AI into a rigid 6-phase delivery model, we turned a regulatory crisis into a standardized, repeatable operation.
Stack
Building something where reliability matters?
I design, ship and operate systems like this one.
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