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Experience atOmnicom Group

Driving financial systems and automation across global teams.

Builder ofEnterprise AI Systems

AI agents, audit workflows, and decision intelligence at scale.

Based inNew York City

Building systems for enterprises around the world.

© 2026 · New York City
All enterprise work

Enterprise implementation case study

ESG reporting and assurance pipeline.

A cross-platform data and control process for producing ESG reporting inputs, improvement signals, and limited-assurance evidence.

AzureDynamics 365WorkdaySAPHyperionAribaDatabricks
Ask the project copilotGrounded in this public-safe case study.

Business problem

What people needed to solve.

ESG reporting depends on operational, finance, workforce, and vendor information that is distributed across systems and needs to be traceable for reporting and assurance.

Decision frame

Questions the work needed to answer.

  • Which sources contribute to each reporting output?
  • Where are the quality gaps, anomalies, or opportunities for improvement?
  • What evidence is available for internal review and limited assurance?
Illustrative operating flowNo internal data, configuration, or client detail.
ERP + HCMPlanning + procurementVendor data

Operating layer

Azure quality workflows + DatabricksDecision support with review and ownership.
Curated ESG viewsAssurance filesImprovement signals

Implementation

From the business problem to a working operating model.

Designed an Azure-based ingestion and quality workflow that brings approved operational, vendor, and finance data together, creates curated views, and supports an AI-assisted analysis layer in Databricks.

  1. 01

    Ingested approved data from ERP, HCM, planning, procurement, and vendor sources.

  2. 02

    Applied multiple quality and transformation workflows before creating reporting views.

  3. 03

    Created a Databricks analysis layer for anomaly review and improvement signals.

  4. 04

    Produced structured reporting files for third-party footprint reporting and assurance workflows.

Controls, approvals, and delivery constraints

The work around the work.

Enterprise systems change only when data, access, testing, ownership, and evidence move together.

  • Reporting views retain source, transformation, and review context.
  • Third-party reporting and limited assurance require defined evidence, ownership, and review cycles.
  • No emissions figure is shown publicly without an approved disclosure source.

Public-safe outcome

A controlled process for turning multi-system ESG inputs into reporting-ready views, assurance evidence, and actionable improvement conversations.