Finance Systems Automation & Governance

Using Microsoft Power Automate to Strengthen Financial Controls and Scale Operations

Role

Financial Systems Consultant

Industry

Microsoft Power Automate, Azure, Excel, Power BI, Tableau

Scope

Built systems supporting multi-entity reporting environments

Modern finance teams are overwhelmed by manual workflows, compliance risk, and fragmented ERP data. I design automation frameworks that transform reactive reporting into structured, audit-ready, exception-driven finance operations.

This project portfolio focuses on five high-value automation domains:

  1. ERP → Workflow Automation

  2. Financial Controls Automation

  3. Exception-Based Reporting

  4. Compliance Tracking

  5. Data Governance Automation

These implementations reduce operational risk, prevent financial misstatement, and create scalable finance infrastructure.

Modern finance teams are overwhelmed by manual workflows, compliance risk, and fragmented ERP data. I design automation frameworks that transform reactive reporting into structured, audit-ready, exception-driven finance operations.

This project portfolio focuses on five high-value automation domains:

  1. ERP → Workflow Automation

  2. Financial Controls Automation

  3. Exception-Based Reporting

  4. Compliance Tracking

  5. Data Governance Automation

These implementations reduce operational risk, prevent financial misstatement, and create scalable finance infrastructure.

1. ERP → Workflow Automation

Problem

Finance data lives inside ERP systems but approvals, documentation, and validations happen manually through email and spreadsheets.

Solution

Designed automated workflows that:

  • Trigger when transactions are posted in ERP (NetSuite / Concur)

  • Validate required metadata (grant tags, cost centers, approvals)

  • Route exceptions to responsible stakeholders

  • Log timestamped approvals for audit trail

Tools Used

  • Power Automate

  • NetSuite Saved Searches

  • SharePoint

  • Outlook

  • Excel Online

Business Impact

  • Eliminated manual follow-up emails

  • Reduced approval turnaround time

  • Created defensible, system-level documentation

2. Financial Controls Automation

Problem

Manual review of travel expenses, invoices, and grant expenditures creates risk of duplicate entries, route mismatches, and misclassification.

Solution

Built validation control frameworks including:

  • Route symmetry checks (A → B must match B → A return logic)

  • Duplicate detection logic

  • Outlier duration thresholds

  • Missing documentation alerts

Automation ensures transactions are reviewed by exception — not by volume.

Business Impact

  • Prevented material reporting distortions

  • Reduced manual review workload

  • Strengthened internal control environment

3. Exception-Based Reporting

Problem

Finance teams waste time reviewing clean data instead of focusing on risk signals.

Solution

Developed automated monitoring flows that:

  • Compare actuals vs budget daily

  • Flag threshold breaches (e.g., >10% variance)

  • Generate structured variance explanation templates

  • Send targeted Teams alerts

Instead of static reporting, leadership receives actionable alerts.

Business Impact

  • Shifted finance from reactive to proactive oversight

  • Improved budget visibility

  • Enabled faster corrective action

4. Compliance Tracking

Problem

Grant-funded and restricted expenditures require documentation integrity and policy compliance.

Solution

Created automated compliance tracking that:

  • Verifies grant tagging on expense entry

  • Checks required support files exist

  • Tracks missing documentation in a centralized dashboard

  • Generates pre-audit readiness reports

Business Impact

  • Reduced audit preparation time

  • Improved documentation completeness

  • Lowered compliance risk exposure

5. Data Governance Automation

Problem

Unstructured receipt data, inconsistent file naming, and circular spreadsheet dependencies create reporting inaccuracies.

Solution

Built structured extraction pipelines that:

  • Extract data from receipts using OCR

  • Normalize fields into consistent schema (From, To, Duration, Vendor, Amount)

  • Rename and organize files automatically

  • Eliminate circular reference errors

Business Impact

  • Created clean, scalable datasets

  • Enabled downstream analytics in Tableau / Power BI

  • Reduced risk of financial misstatement

5. Data Governance Automation

Problem

Unstructured receipt data, inconsistent file naming, and circular spreadsheet dependencies create reporting inaccuracies.

Solution

Built structured extraction pipelines that:

  • Extract data from receipts using OCR

  • Normalize fields into consistent schema (From, To, Duration, Vendor, Amount)

  • Rename and organize files automatically

  • Eliminate circular reference errors

Business Impact

  • Created clean, scalable datasets

  • Enabled downstream analytics in Tableau / Power BI

  • Reduced risk of financial misstatement

Other projects

Alina Augustine

Copyright 2025 by Alina Augustine

Alina Augustine

Copyright 2025 by Alina Augustine

Alina Augustine

Copyright 2025 by Alina Augustine