Red Flags | Decision Intelligence

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Data Monetization Platform

Ultimate financial tool that aggregates data across your organization and increases savings via advanced analytics.

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Recognized by

Use Cases

Core Feature: Procurement Analytics

B2B & B2G Solutions

10+ Satisfied Customers - state corporations, government structures;
Data aggregation from all kinds of corporate software - from ERPs to Excel files;
BI and AI tools for each purchase analysis;
Fraud and corruption detection, procurement control, procurement benchmarking, custom reports for all types of organizations.

Upcoming Feature: Financial Monitoring and Insights

P&L Reports
Preparation and correction of P&L reports of the organization in a couple of weeks. Complete internal financial reporting as close as possible to real figures
Cash Flow Forecasting and Calculation
We determine the company's current cash flow by analyzing all payments and financial transactions
Accounts receivable risks
Identify accounts receivable that are approaching or past due and that are at risk of becoming bad debts
Customer Churn Risk Analysis
Identify customer accounts that show indicators of potential churn - declining service usage, increasing complaints, or non-renewal of contracts - allowing you to take action to retain the customer

Our Customers' Outcomes

Savings Opportunities

Last year, redflags.ai identified
132K savings opportunities worth over

305 million USD

reported by our customers

Realized Savings

Maximum amount of savings, reported by our customer (Government of Kazakhstan)

86 million USD

by utilizing redflags.ai to identify and mitigate procurement risks

Why use redflags.ai?

You can't manage what you can't measure

-1-
Data Doesn't Automatically Create Value
Simply having data and analytics doesn't automatically create value for an organization.

You might invest a significant amount of time and money in data engineering, reporting, and data visualization, but if no decisions are made and no actions are taken, then it would all be a waste of resources.
-2-
People Create Value
Using Data
The real value comes from employees making decisions and taking action.

A company's most valuable resource is its managers' attention.

You need to focus business users' attention on the most promising savings opportunities with the highest possible financial impact
-3-
Ensure People Make Decisions and Take Actions
Automate savings insights generation using various corporate data sources

A management framework is essential for creating hypotheses about using data to spot and realize savings opportunities.

And implement it in a workflow tool to track your progress and outcomes.

How It Works?

Connect Any Data Source

The system can aggregate data from various internal and external data sources such as CRM, ERP, DWH, API, Excel, Open Data, and others to gather information about Customers, Suppliers, Tenders, Contracts, Purchase Orders, Invoices, Payments, etc.

Create Hypotesises

Define business rules to effectively manage and scale the generation of savings ideas (hypotheses).

Use our database of savings ideas for inspiration.

Automatically detects savings opportunities

Automatically examine all records and transactions to detect savings opportunities based on red-flag business rules created by users.

Implement workflows
to ensure no opportunity is missed

The system supports custom workflows for managing savings opportunities:

assign a responsible business user for each opportunity
track decisions they made
trigger actions in external systems
track the outcomes

Report realized savings

Customizable dashboards to track:

How many ideas have we created about how to use data to realize savings?
How many savings opportunities were identified based on these ideas?
Which ideas showed the best performance?
What is the amount of realized savings?

Empower GenAI to save time reading documents

In the age of Generative AI, the system allows the use of state-of-the-art LLM models to extract data from unstructured information (text fields, PDF files, etc.) and help users with complex reasoning scenarios.

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Case Studies

The Internal State Audit Committee identified a financial violation amounting to $93 million

A total of 1,685 procurement department employees were disciplined. As a result of audit activities, 190 cases were transferred to law enforcement agencies.

Prosecutors canceled 505 illegal tenders worth a total of $331 million

The analytical system automatically finds risky tenders and contracts, focusing the auditors’ attention on objects with the highest risk of inefficient use of funds.

Kazakhstan's Financial Monitoring Agency use Red Flags to combat economic crimes

Using the Red Flags solution, FMA identified 29 theft schemes, with damages exceeding $1 million, and initiated 53 investigations, protecting the rights of over 1,300 children.

Watch

Using Big Data for Detecting Economic and Corruption Crimes by Vitaliy Trenkenshu

Join Vitaliy Trenkenshu, Chief Executive Officer of redflags.ai and Enterprise Big Data Framework Alliance Ambassador, as he delves into the challenges and innovations in detecting economic and corruption crimes using big data.

How Active Intelligence approach helps to save taxpayers’ money

Governmental auditors of Kazakhstan are equipped with a powerful award-winning tool that boosts their efficiency and helps them prevent losses in procuring entities from purchasing overpriced products, saving taxpayers money. As a result, over US$ 86 million of taxpayer's money has been saved in 2021

OCP Red flags global webinar

Open Contracting Partnership red flags global webinar worked through the methodology and how to use the indicators to detect suspicious behaviour. Joining up theory with practice, you get to hear from our partners who are successfully using these methodologies in the field. We hope to provide actionable and approachable steps that practitioners from across the globe, from researchers to procurement agencies to fellow data dorks, can take to begin analyzing their procurement data through the lens of integrity

Recognition