A railcar services roll-up ran finance 35 times over.
Intake documents retyped into a system
21 companies have fixed this with AI, most of them in Financial Services, Manufacturing & Industrial and Consumer Goods & CPG. 8 of the 13 that disclosed a timeline were live inside two months; the longest took 4–6 months. One disclosed cost: $25K – $100K. Built mostly as process automation, document processing & extraction and AI-accelerated custom software, on Claude (Anthropic), OpenAI / ChatGPT / GPT and Salesforce. 15 builders in the Pluris network have done it.
Solutions
21 on fileA high-end consumer electronics manufacturer sold to large B2B customers and ran a smaller direct-to-consumer business, with orders arriving by phone, email, fax and.
Bacardi's US brand ambassadors communicated market intelligence to headquarters through scattered email reports with no standardized system.
Sincera receives millions of unstructured records monthly describing products and services from diverse internet sources.
Owner Paul Harrip ran four divisions of Perfection Services while acting as CEO, scheduler, payroll officer and active tradesperson.
The company processed thousands of receipts each week from field operations and vendors, with a 10 person offshore team keying required fields into the ERP.
The company ran thousands of manual, repetitive workflows every day across six geographic zones, with inconsistent handling from one region to the next.
BD teams manually triaged thousands of brief teasers in slow, error-prone work; analysts spent hours extracting tables from CIMs and rebuilding models; sourcing teams.
The client's estimators built estimates in claims estimating software, but projects ran in separate construction management software.
The lender's loan-approval process relied on manual email handling, repetitive Salesforce data entry, and a non-standardized callback workflow, creating bottlenecks.
Manual workflows created operational bottlenecks: time-consuming data entry and file reconciliation, inefficient client communication loops, reports taking up to 60.
Analysts had to classify inconsistent VDR folders, extract key terms from contracts and schedules, compare findings against a diligence checklist, identify missing.
Teams faced document-heavy workflows, confidential client files, investor materials, operating reports, contracts, compliance artifacts, under compressed timelines.
Content was classified manually, slow, inconsistent, and hard to scale as the catalog grew, with commercial-relevance tagging especially labor-intensive.
Producing building-safety risk reports took weeks of manual work, gathering evidence, identifying risks, and mapping them to controls across scattered source material.
A software platform that helps municipalities manage properties in tax arrears was running its entire operation on a legacy Microsoft Access dashboard its new.
Our client spent 15 hours per week processing customer orders.
A DTC eyewear brand was losing customers at prescription verification, a manual, contractor-dependent step that introduced delays and errors, holding checkout conversion.
A PE-owned e-commerce company was entirely dependent on a third-party BPO to perform a core back-office operation: matching inbound shopping lists, arriving as images.
A middle-market private credit firm was running its entire deal operation manually.
A data platform company that had relied for 15 years on ~70 human operators to manually read and extract data from complex government documents faced a chronic backlog.