Document processing and extraction
AI extraction, classification, and routing for invoices, contracts, delivery notes, compliance forms, or any high-volume document workflow.
The AI Workflow Pilot takes one high-friction, high-cost operational process and builds AI that handles it, integrated into your existing systems, running in production, measured against criteria we agree on before a single line of code is written.
Fixed price · From $10,000 · 4–7 weeks · You own everything
The Pilot runs in your environment on real data, integrated into the systems your team already uses, with an exception-handling layer for cases automated systems get wrong.
AI extraction, classification, and routing for invoices, contracts, delivery notes, compliance forms, or any high-volume document workflow.
AI assistant built on your own documents so your team can find the right answer in seconds instead of hunting through files.
Automated handling of recurring tasks: inbound classification, status routing, report generation, supplier communication, and data extraction from emails.
We map the current workflow, define AI components, establish integration points, and agree on success criteria in writing.
We build the AI pipeline, integration layer, and exception-handling queue. We test against real data samples where possible.
We deploy to your live environment with a supervised period, monitor performance, and deliver a handover package.
Every Pilot begins with a written scope defining what will be built, what data it uses, how it integrates, and what the success metric is.
The price is agreed upfront. No hourly billing and no change orders for standard scope.
If the deployed system does not reach the agreed threshold at the end of the measurement period, we continue working until it does.
All code, models, configurations, and documentation transfer to you at engagement end. No dependency on Looplever tooling.
A B2B staffing firm was processing roughly 400 client and candidate documents per week: employment contracts, compliance declarations, right-to-work checks, and onboarding packs. The compliance team spent approximately 22 hours per week on review, extraction, and status tracking.
We ran a six-week AI Workflow Pilot: a document classification and extraction pipeline covering the seven most common document types, integrated with their HR system and shared drive, with a review queue for documents below the confidence threshold.
Post-deployment, 82% of documents processed without human review. The remaining 18% were reviewed in a batched daily queue averaging 45 minutes. The team recovered 18 hours per week, and document-to-system-update turnaround fell from 24–48 hours to under 2 hours for compliant documents.
Illustrative scenario based on representative operational patterns. Metrics reflect realistic outcomes for this class of document processing problem.If you are not sure which workflow to pilot, start with the AI Operating Leverage Audit. It identifies the highest-ROI opportunity and gives you the scoping brief needed to start a Pilot with confidence.
We start with a scoping call to confirm the workflow, the data, and the right approach before proposing a Pilot.
Fixed-price engagement. Success criteria agreed in writing before work begins. All IP transfers to you at engagement end.