Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
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
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
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