0101 / 12Manual processing can take 15 minutes per document. AI does it in seconds.
Manual back-office work can eat into your margin quietly, every month.
Digiform builds AI back-office workflows that extract, check, route, and reconcile documents — so your team spends less time moving data and more time closing work. We use Agentic Document Extraction (ADE) on any document a human currently re-types into another system: invoices, POs, receipts, contracts, claims, onboarding paperwork.
Built for finance, operations, and founder-led teams processing hundreds or thousands of documents a month.
Every email opened, PDF downloaded, line item retyped is operator time you’re paying for — and it doesn’t show up as a line item on any P&L. Invoices are the easiest to dollarize, so we use them as the worked example below. The same math applies to POs, receipts, contracts, claims, and any other document touched by hand.
Based on industry benchmarks — $12–19/invoice manual cost ¹, 2–3% late-payment penalty rate, 1–2% reconciliation error cost. Actual savings vary by process complexity, exception rate, and implementation scope. The form below produces your estimate.
Single invoice from an existing vendor, line-item match required.
Same invoice. Same accounting system. Different processing layer.
A selection of past and present clients.








Reduction in per-invoice processing cost in the first quarter after deployment.
Average per-invoice cost across deployments, including exception handling and human review of flagged items.
Compliance incidents. Every system ships with SOC 2 audit logs, access controls, and data-handling policy mapped to your existing stack.
Audit the back office and pick the highest-ROI workflows.
Extraction, classification and routing, wired into your ERP.
Shadow the first batches, tune thresholds, certify accuracy.
NavigAIte tracks accuracy and dollars saved as volume shifts.
Share your volume and current system. A Digiform operator will send back a practical automation estimate — including likely savings, implementation complexity, and where AI should not be used. Within 24 hours a senior operator replies; within 5 business days you get a 4-page written estimate.
Teams processing 500+ invoices, forms, claims, POs, or intake documents per month — or any team with recurring document workflows, manual review steps, or frequent copy/paste between systems.
A 4-page written estimate, ungated and yours to share. Built around your real workflow — not a generic deck.
No call required to receive · Send back questions any time
0909 / 12Not a sales rep. A senior implementation lead replies to your email, confirms your volume, and asks for one piece of context (typically a single sample invoice — fully redactable).
A 30-minute working session: your current process, your accounting system, exception cases, accuracy targets. Optional — we can run this asynchronously over email if you prefer.
Current cost, post-AI cost, fixed-price deployment scope, week-by-week timeline, 3-year ROI with every assumption shown. You decide what to do with it — no follow-up pressure.
No. Digiform typically works around your existing tools. The goal is to reduce the manual steps between documents, inboxes, spreadsheets, ERPs, and approval workflows. We've integrated with QuickBooks, NetSuite, Xero, Sage Intacct, Dynamics, SAP Business One, and a handful of in-house systems. If your stack isn't on that list, the scope call confirms compatibility before you sign anything.
Good candidates have recurring volume, repeatable rules, clear exceptions, and measurable manual effort. If the process is too inconsistent or low-volume, we will say so — and recommend you leave it alone. We're not trying to automate every task, just the ones where AI can reliably reduce manual effort and produce measurable payback.
A Digiform operator reviews your volume, system, and workflow context. If there is a likely automation case, we send back a practical estimate and recommended next step within 5 business days. If there isn't, we'll tell you that too — and what to do instead.
The first workflow can go live in as little as six weeks when the process is clear, the data is accessible, and the integration path is straightforward. More complex workflows — multiple integrations, heavy exception handling, regulated data — take longer. The written estimate gives you a real timeline for your scope.
Good. That's the interesting part. Agentic Document Extraction (ADE) handles handwriting, multi-language, multi-currency, line-item math, and inconsistent layouts — a meaningful step beyond legacy OCR, which we still keep available as a fallback. We tune the confidence thresholds during the parallel-run phase so anything the system isn't sure about gets routed for human review instead of posted blind. The "weird" cases are usually the highest-ROI to automate.
Every deployment ships with SOC 2 controls, full audit logs, role-based access, data-residency options, and a documented data-handling policy. We don't train models on your data. Across 60+ deployments to date we've had zero compliance incidents. The estimate document lists the specific controls applied to your deployment.
Implementations typically range from $25K–$120K depending on volume, exception complexity, and number of systems to integrate. The written estimate gives you a fixed price for your specific scope. Operating cost averages $2.36 per processed document including the human-review queue. We don't quote on this page because honest answers depend on your actual workflow — that's what the estimate is for.
Below roughly 500 documents/month, the math is borderline and we'll tell you so in the estimate. Some clients in that range still proceed because of error reduction or operator-time recovery rather than raw cost; others wait. Either way you get the honest read — we're not paid to convince you.
No. Month-to-month after the initial 12-month engagement, no rip-out fees, your data exports cleanly back to your existing systems on request. The deployment is built on your tools as much as ours, so leaving doesn't break your operations team.
A note on these numbers.
The figures shown are illustrative benchmark estimates drawn from third-party AP and document-automation research. They are intended to scope opportunity, not to forecast outcomes for your specific business.
Your actual per-document cost, throughput, and accuracy will vary based on your accounting system, document quality, vendor mix, exception complexity, and dozens of business-specific variables this page cannot capture.
The written estimate produced after you submit the form above replaces these benchmarks with figures derived from your real data. Nothing on this page constitutes a commercial commitment or a guarantee of results.
We look for the workflows where AI can reliably reduce manual effort, preserve control, and produce measurable payback. The rest, we’ll tell you to leave alone — in the same written estimate that shows you what’s worth building.
Book a 20-minute workflow review. We’ll look at one document-heavy process and tell you whether it is worth automating — no deck, no pitch, just operators talking about your back office.
I answer from what’s published on this site — nothing else. If I don’t know, I’ll say so.