What challenges did Transparently.AI face before AI implementation?

Detect accounting fraud and manipulation in corporate financial statements to reduce investment risk. Need highly accurate and scalable AI models replicating forensic accounting expertise.

What was the impact of the AI solution?

Achieved 84-90% accuracy across user query comprehension and answer relevance. Delivered low latency AI model performance ensuring high-quality customer experience. Supported investor decision-making with detailed risk scoring and fraud detection.

Source

GCPEvidence: Medium50/100

Transparently.AI Detects Accounting Fraud with Google Cloud Generative AI

Use case typeFraud detectionUpdated Jun 13, 2026

Transparently. AI uses Google Cloud's Vertex AI and a fine-tuned Gemini 2.0 Flash model to detect accounting fraud in financial statements for investment risk reduction. The platform trains about 200 financial models on decades of data from 85,000 companies, replicating expert forensic accounting and analysis. The system achieves 84-90% accuracy in query comprehension and answer relevance, providing risk scores and fraud detection red flags to investors. Plans include extending analysis to unstructured data like earnings call transcripts using Google Cloud AI. The solution benefits from Google Cloud's infrastructure and AI First accelerator program support.

Organization: Transparently.AI
Industry: Finance
Location: United States
Published: April 2026

Reported outcomes

84-90%

accuracyQuality & accuracy

Strategic outcomes

Risk & complianceDetected accounting fraud and manipulationNew product / capabilityBuilt managed fraud detection platformBetter decisions & insightImproved investor risk assessmentCustomer experience & trustDelivered responsive AI performance

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Accuracy: 84-90%

Google Cloud Customer StoriesCustomer storyInferred claimMedium evidence strength

Achieved 84-90% accuracy across user query comprehension and answer relevance.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Transparently.AI
Provider: GCP
Maturity: Unknown
Linked source: Google Cloud Customer Stories

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 3

1Fraud Detection
2Generative AI
3Financial Analysis

Detect accounting fraud and manipulation in corporate financial statements to reduce investment risk.
Need highly accurate and scalable AI models replicating forensic accounting expertise.

Leveraged Google Cloud Vertex AI and fine-tuned Gemini 2.0 Flash models on extensive corporate financial data.
Built a managed AI platform delivering query comprehension and fraud detection with high accuracy.
Used BigQuery as data warehouse for extensive model training and data analytics.

Technologies

Google Cloud Vertex AI Gemini 2.0 Flash BigQuery

Achieved 84-90% accuracy across user query comprehension and answer relevance.
Delivered low latency AI model performance ensuring high-quality customer experience.
Supported investor decision-making with detailed risk scoring and fraud detection.

Sources & evidence1

Evidence: Medium50/100Evidence strength