Klassif.ai

Skip the setup slog and move straight to processing. Connect your inboxes and storage first—Microsoft 365 Outlook, Gmail, Dropbox, Google Cloud Storage, or your databases—then pick a ready-made pipeline (invoices, contracts, ID checks) or start from scratch. Drag in a sample email or PDF, and the system detects the document type, reads scanned pages with OCR, and proposes fields to capture. Map those fields to your internal names (Vendor, Due Date, PO, Policy ID), test on a batch, and publish the flow so new documents are classified, parsed, and routed automatically.

For day-to-day operations, run an accounts payable pipeline that watches an AP mailbox, splits attachments, tags each file by document type, and extracts totals, taxes, and line items. Push clean data to your ERP or database, and auto-file the source PDF to the right folder. Exceptions land in a review queue with line-by-line highlights so approvers can fix errors fast. Configure alerts to ping you when a threshold is met—large invoices, missing signatures, duplicate IDs—or when SLAs are at risk. Need to generate paperwork? Use document assembly to produce receipts, onboarding packets, or letters from the extracted data and send them for e-signature in one step.

Compliance and control are built in. Assign roles so admins manage pipelines, reviewers handle exceptions, and viewers access only what they need. All content is encrypted in transit and at rest, with full audit trails of who changed what and when. Keep configurations, extraction schemas, and models in versioned releases; roll forward or back with one click. Track real-world performance over time—accuracy, throughput, and latency by document type—and promote new model versions with A/B testing so improvements are proven before full rollout.

Teams and developers integrate Klassif.ai wherever work happens. Trigger workflows from Outlook or Gmail labels, sync processed files to Dropbox, or write directly to SQL/NoSQL stores. Use APIs and webhooks to embed document capture into internal apps, CI/CD pipelines, or RPA bots. Retrain models with reviewer feedback, schedule periodic refreshes, and monitor drift to keep quality high. Small and midsize organizations can go live in hours: start with a single flow (AP, HR onboarding, claims intake), then scale across departments using the same governance, metrics, and automation patterns.