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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

DailyHelm operates as an autonomous AI business analyst that conducts a thorough review of a company's analytics, advertising, SEO, online store, codebase, and expenses overnight, subsequently providing a prioritized overview of changes, their significance, and actionable recommendations. Rather than having users sift through various dashboards and interpret metrics on their own, it employs six specialized agents to simultaneously assess distinct aspects of the business, while Aria, the lead agent, synthesizes their insights, eliminates redundancies, and ranks issues according to their potential revenue impact. Iris focuses on analytics and growth trends, Pitch evaluates advertising expenditures and outcomes, Echo monitors SEO and indexation processes, Ada examines the health of the code and deployment, Penny oversees billing and cost management, and Sage assesses user experience and conversion obstacles. Each discovery is accompanied by supporting evidence, an impact score, a confidence rating, an effort estimate, and a suggested course of action. Additionally, Aria possesses the capability to respond to inquiries about the business, utilizing its profile, current findings, and recent metrics as a real-time context for its answers, ensuring that users have access to comprehensive and relevant information. This integrated approach allows businesses to make more informed decisions quickly and effectively.

Description

Benford's law serves as a tool for uncovering patterns indicative of improper disbursements. It involves examining audit trail reports from QuickBooks or other bookkeeping software to pinpoint unusual activities like voids and deletions. Additionally, it entails identifying multiple payments made for identical amounts on the same day. A thorough review of payroll runs is conducted to detect any payments exceeding the established salary or hourly rates. Payments made on non-business days are also scrutinized. Statistical calculations help in identifying outliers that may suggest fraudulent activity, and duplicate payments are tested for validation. Vendor files in accounts payable are analyzed for names that may be suspiciously similar, and investigations are conducted to uncover fictitious vendors. Comparisons of vendor and payroll addresses are evaluated using Z-Scores and relative size factor tests. While data monitoring and surprise audits have shown to significantly reduce fraud losses, only 37% of organizations implement these critical controls. For businesses employing fewer than 100 individuals, the average loss due to fraud is estimated at $200,000, highlighting that smaller enterprises often lack the necessary resources to effectively detect and address fraudulent activities. Consequently, it is essential for small businesses to adopt more robust fraud detection mechanisms to safeguard their financial integrity.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

GitHub Yes 
Google Ads Yes 
Google Analytics Yes 
Google Cloud Platform Yes 
Google Search Console Yes 
OAuth Yes 
PostHog Yes 
Shopify Yes 
Slack Yes 
Stripe Yes 
Zendesk Yes 

Integrations

GitHub No 
Google Ads No 
Google Analytics No 
Google Cloud Platform No 
Google Search Console No 
OAuth No 
PostHog No 
Shopify No 
Slack No 
Stripe No 
Zendesk No 

Pricing Details

$99 per month
Free Trial Yes 
Free Version No 

Pricing Details

$1,400 one-time payment
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

DailyHelm

Country

United States

Website

dailyhelm.com

Vendor Details

Company Name

MedCXO

Country

United States

Website

medcxo.com/fraud/

Product Features

Product Features

Fraud Detection

Access Security Management No 
Check Fraud Monitoring No 
Custom Fraud Parameters No 
For Banking No 
For Crypto No 
For Insurance Industry No 
For eCommerce No 
Internal Fraud Monitoring No 
Investigator Notes No 
Pattern Recognition No 
Transaction Approval No 

Alternatives

No Alternatives

Alternatives

Fraud.net Reviews

Fraud.net

Fraud.net, Inc.
FraudPoint Reviews

FraudPoint

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