What Sainapse already resolves
Most buyers arrive with a version of the same question. "Someone in my industry had this problem. What happened when they fixed it?" This page answers both halves. Browse by the problem you came in with, or jump straight to the customer who looks most like you. The problem pages explain what the work involves and what good looks like. The case studies show what shipped, on which stack, at what scale.
Why problems and customers live together
A problem page shows the shape of the work: the workflow, the systems it touches, and what changes when Sainapse runs it. A customer story shows that same work already running, on a named stack, inside the systems that team already used. Read one without the other and the claim has no deployment behind it. Every problem page here links to at least one named customer story, and every story links back to the problem it solves.
The six problems we solve
Three workflows, six ways in. Each problem page covers the workflow, the systems it touches, and the outcomes our customers measure.
- Automate Purchase Order Processing
Sainapse extracts, validates, and posts POs into your ERP, and escalates the ones that need a person.
- Email-to-Ticket Automation
Sainapse turns an inbox of customer requests into structured tickets in Salesforce, Oracle, or Freshdesk.
- End-to-End Ticket Automation
Sainapse routes, drafts, and resolves tickets from intake to close, not just the first reply.
- Cross-System Customer Context
Sainapse pulls the customer's full history from your CRM, ERP, and ticketing into one view your agents work from.
- Proactive Churn and Account Risk Detection
Sainapse flags accounts trending toward cancellation before the renewal call.
- High-Value Account Prioritization
Sainapse ranks inbound and existing accounts by revenue potential, so your team works the right ones first.
The eight customer stories
Each study covers one customer, one deployment, with the metrics we measure against.
- PO to Sales Order, Automated
Sainapse reads the purchase orders and opens the sales orders in Oracle, with no manual rekeying.
- Email to Service Request, at 300k per Day
Sainapse turns a global support inbox into service requests, in production.
- PO Automation with SAP
Sainapse reads the purchase orders and posts them into a regulated SAP environment.
- Full Ticket Lifecycle, 93% Accuracy
Sainapse triages, responds, and resolves, instead of suggesting and handing the ticket back.
- MRR-Based Support Tiering
Sainapse routes tickets and applies SLAs by revenue, so the highest-value accounts move first.
- 32M Emails per Year, on Salesforce
Sainapse handles the email volume inside the Salesforce system the team already ran on.
- Proactive Churn Detection
Sainapse reads support, contract, and usage data, and flags the accounts drifting toward cancellation.
- Cross-System Enterprise Deployment
a multi-system rollout across the enterprise stack.
Common questions
Six problems across three workflows: getting documents in and posted correctly, resolving support tickets end to end, and keeping account signals current. Each problem page names the systems it touches and the outcomes customers measure against, not just a feature list.
A problem page shows the shape of the work: the workflow, the systems, what changes when Sainapse runs it. A customer story shows that same work already running, on a named stack. Every problem page links to at least one story, and every story links back to its problem.
Start with the workflow group closest to your situation (document intake, support tickets, or account signals) and open the nearest-matching problem page. Most gaps are variations on a shipped workflow, and the page's "how it works" section will say so.
Yes. Every problem page describes work Sainapse runs in production today, on the systems named in that page's "what it runs on" section, alongside a customer story showing the same deployment. What each page claims is what a named deployment already does, not a projection of what it could.
Find the customer who looks most like you.
Every problem page links to at least one named case study. Every case study links back to the problem it solves.