How a Railcar Roll-Up Saved $9M of Gross Profit It Nearly Cut
A railcar services roll-up had bought 35 businesses across 14 locations and left each on its own Sage 300 CRE instance.
About $9M of gross profit kept
Built byProSights
Decisions made on partial data because systems don't connect
6 companies have fixed this with AI, most of them in Technology & Software, Transportation & Logistics and Real Estate. 2 of the 5 that disclosed a timeline were live inside two months; the longest took 6–12 months. 2 disclosed cost: from $100K – $250K to $250K – $500K, most often $100K – $250K. Built mostly as data synthesis & reporting, decision support & scoring and AI-accelerated custom software, on Jira / Atlassian, Salesforce and Microsoft Excel. 5 builders in the Pluris network have done it.
Industries
Technology & Software 2Transportation & Logistics 1Real Estate 1Media & Entertainment 1Energy & Utilities 1
Time to results
Under 4 weeks 14–8 weeks 14–6 months 26–12 months 1
Cost
$100K – $250K 1$250K – $500K 1
Solutions
6 on fileHow a CRE Operator Turned Fragmented Data Into $20M in NPV
An externally-managed CRE firm ran its portfolio on a stack of disconnected systems: MRI for accounting, ARGUS for valuation, VTS for leasing, a CMMS for maintenance.
$20M uplift in 10 year NPVTime 4–6 monthsCost $250K – $500K
Built byTensile
How One PE-Backed SaaS Firm Lifted NRR 8%
A PE-backed SaaS company was fighting churn and trying to get AI adopted across the business, but its operating data sat in more than ten disconnected systems of record.
1 source of truth for the whole companyTime Under 4 weeksCost $100K – $250K
Built bySynopsis
How One Media Company Lifted Ad Sales 8%
A major media company’s ad sales and campaign delivery operations were trapped in legacy, manual workflows.
+8% Incremental Deal ValueTime 4–6 months
Built byAHB Advisors
How a PE-Backed SaaS Cut Insight Time Weeks to Minutes
A PE-backed, high-growth SaaS company serving contractors had accumulated disconnected systems, CRM, marketing automation, ERP, support, billing, and product, with no.
Board Meetings Run on Live Data for the First TimeTime 4–8 weeks
Built bySynopsis
How One Solar Giant Surfaced $80M in R&D Waste
S. residential solar company, had experienced hyper-growth through the 2010s but struggled to ship product effectively within its R&D organization.
$80M in Cost Savings GeneratedTime 6–12 months
Built byParable
Builders who have done it
5Other problem types
Research or analysis produced by hand that could be systematized26Document reviewed against rules before it can move23Leadership needs to decide where AI fits22Intake documents retyped into a system21Unstructured documents hold answers nobody can search16Validation and prototyping that takes months before a real user sees it15Org-wide AI training and certification13Reporting assembled by hand from multiple systems12Repeat customer questions that eat support capacity12AI adoption blocked or ungoverned10