Real results from real Cincinnati-area businesses
Here's what AI automation has done for businesses like yours.
- Payroll journal entries: from 3-4 hours per week to 4 seconds
- Monthly consolidation reports: from 4 hours to 15 seconds
- Weekly leadership scorecards: fully automated, always up to date
- 10,000 HubSpot records verified and updated against their data source
- Now runs automatically every month — no manual work required
- Sales team works from a clean, complete CRM for the first time
More Case Studies
Automating Payroll Reconciliation for Pool Contractor
Challenge
Mid-American Gunite Pools manages 10+ active job sites daily, with field crews clocking in and out throughout the day using WorkYard. This time and geolocation data needed to flow into QuickBooks for job costing and Paylocity for payroll processing. The problem: approximately 50% of daily clock-ins weren't automatically associating to the correct projects. This meant a project manager had to manually reconcile spreadsheet exports from all three systems every payroll cycle—spending over two hours each week matching timestamps to job sites, verifying geolocation data, and ensuring labor burdens were tied to the correct projects. The manual process was error-prone, time-consuming, and unsustainable as the company grew.
Solution
Salyers AI designed and built a comprehensive automated workflow system that integrates WorkYard, QuickBooks, and Paylocity: Intelligent Customer Matching – Automated algorithm matches WorkYard customers to existing QuickBooks records, flagging only non-matches for review Geolocation Verification – System automatically validates that employee clock-in locations align with assigned job sites Exception-Based Workflow – Instead of manually reviewing all entries, the automation surfaces only the mismatches that need human attention Paylocity Data Feed – Verified time data flows directly to payroll with proper job cost allocation Real-Time Dashboard – Monitoring portal provides visibility into daily clock-ins, matching status, and system health
CRM Data Enrichment Automation
Challenge
Blue Chip Manufacturing's CRM database had become outdated and incomplete over time, with thousands of contact and company records lacking critical information. Sales teams were wasting valuable time manually researching prospects, and marketing campaigns suffered from poor targeting due to missing data. The company needed a way to efficiently enrich their entire database of over 10,000 records with accurate, up-to-date contact and company information without disrupting ongoing operations.
Solution
We developed an automated CRM data enrichment system that intelligently processed Blue Chip's entire database. The solution leveraged multiple data enrichment APIs to cross-reference and validate contact information including email addresses, phone numbers, job titles, and LinkedIn profiles. For company records, the system enriched firmographic data such as industry, employee count, revenue ranges, and company descriptions. The automation included smart matching algorithms to handle variations in company names and contact details, ensuring high accuracy while minimizing false positives.
Manufacturing Process Automation
Challenge
Manual quality control processes were causing production delays and inconsistent product quality. The company was losing $50K monthly due to defects and rework.
Solution
Implemented AI-powered visual inspection system with automated workflow management, integrated with existing ERP system.
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