How Deviceflow turns what your field sends into clean data in your systems
Deviceflow reads the emails, photos, and texts your team already receives, checks them against your contracts and live ERP data, and writes finished records into the systems you already run. This page shows the machine — what goes in, what the engine does, and the workflows that come out.
- Works through email — nothing new for the field to adopt
- No EDI required — reads whatever arrives
- Overlays your existing ERP — no migration, no IT project
- Live in 2–4 weeks
“An ERP is a financial system.”
One platform. Every workflow between the field and your ERP.
Deviceflow isn’t a billing tool or a PO app. It’s one platform that reads everything your team already receives — POs as email attachments, charge sheets as photos, inventory moving by text — checks it against your contracts and your live ERP data, and turns it into finished records. That same engine powers every workflow we ship.
Purchase orders
Hospital POs, arriving as attachments buried in email threads
Charge sheets
Handwritten forms, photographed in the hallway after surgery
Inventory requests
Transfers, trunk stock, and consignment moves — by text message
Audits & cycle counts
Field counts and spreadsheets from reps, warehouses, and 3PLs
Invoices & payments
Remittances, short-pays, and replies from hospital AP
The intelligence between email and ERP
One engine reads what arrives, pulls out the data, checks it against contracts, pricing, and live ERP records, and writes the finished result into your systems. Your team reviews what needs a decision — the engine does the rest.
Orders & billing
PO to invoice, same day
Case coordination
Scheduling to charge capture, handled
Field inventory
Every device, every location
Replenishment
Restocked before anyone asks
Partner visibility
Your whole sales network, real time
+ More
Returns, transfers, loaners — same engine
What changes when the engine does the work
The workflows above aren't separate products — they're what falls out when the reading, matching, and checking happens automatically.
Invoices go out the day the case closes
POs matched, prices checked, invoice generated — same day. Revenue stops sitting unbilled for 30–60 days and cases stop slipping through without ever being billed at all.
Pricing errors caught before the invoice
Every line item checked against facility contracts and GPO agreements before anything ships. Mismatches surface as exceptions to review — not as credits and rebills a month later.
Your team works exceptions, not a queue
Routine documents flow through untouched. Your team only sees the ones that need a decision — with the case, the contract, and the history already attached.
Field inventory stops being a black box
Every transfer, audit, and cycle count lands in one live picture of consignment and trunk stock — the same usage data that drives replenishment and billing.
The field adopts it, because it asks almost nothing
Reps send an email instead of a text — no app to download, no portal training. The data arrives structured because the engine does the structuring, not the rep.
Partner data in real time
Distributor sales and stock arrive as transactions happen — not as quarterly spreadsheets. Captured at the point of order, so there is no CRM for anyone to fill in.
Human oversight by design
Deviceflow automates the repetitive coordination work your team shouldn't be doing manually. When a decision matters — recall execution, compliance submissions, billing exceptions — the system routes it to your team for approval. Every automated action has a complete audit trail. No irreversible decisions happen without a human in the loop.
Validated for QMSR audits
Deviceflow ships with a full GAMP5 Category 4 validation package — URS, IQ/OQ/PQ protocols, requirements traceability matrix, supplier qualification, Part 11 access provisions, and tamper-evident audit-trail exports. Walk into your next QMSR inspection with the supplier documentation already prepared. Your quality team stays focused on the device, not on validating your ops stack. Read the validation burden brief →