ai receipts
Search your own problem
Case study · From the Pluris libraryReceipt no. 4215
What sucked

The business ran on several systems that didn't talk to each other.

Operational data lived in Visibility ERP, customer and pipeline data in the CRM, and much of the project context was spread across Outlook and SharePoint. All reporting ran through SQL reports. That setup held up for standard reports but struggled with anything else. Analysts couldn't easily segment the data, isolate outliers, or combine information from different systems into one view. With more than 20 entities to report across, the team spent hours every week just producing reports. The company was also looking at adding two more business analysts to keep up.

Manufacturing & IndustrialOperations4–8 weeks
What they built

Visibility built an MCP server giving Claude live access to its ERP, the CRM, Outlook and SharePoint, a semantic layer defining business terms across 20+ entities, and custom Claude skills for plain-English reporting, executive dashboards and critical-path project forecasting.

What changed
Saved 10+ hrs/week

Saved on reporting alone

2 hires avoided

The existing analyst team now handles the full workload

Time to results
4–8 weeks
Company size
1,001-5,000 people
Project cost
$25K – $100K
More fixes like this
Who did it
Craig Crossley
VP- Solution Engineering, Visibility

Vetted by Pluris.