The report that took a person all Monday morning to assemble.
Every Monday, an analyst opens four systems, exports four files, reconciles the numbers by hand, formats the same template she formatted last week, and emails it out before lunch. Nothing about the report changed. Only the numbers did, and the systems already hold every one of them.
Down the hall, a signed contract sits unread in an inbox because nobody was watching for it, and a stack of scanned receipts waits to be keyed in one field at a time.
None of that work needs a human. It needs a system that reads, generates, routes, and files on its own.
Documents are where time goes to die. The average knowledge worker spends 11 hours a week handling documents, creating, formatting, routing, chasing approvals, and filing them. That's 30% of a 40-hour work week.
According to McKinsey research, 60% of employees could save 30% or more of their time through workflow automation, and document-heavy processes represent the single largest category of that recoverable time.
Most of that work is mechanical. The document structure doesn't change, the data sources are the same every time, and the approval path is predictable. The reason it's manual isn't that it needs a human, it's that nobody has automated it yet.
RaftLabs has deployed 30+ document automation systems across the US, UK, Europe, Canada, the GCC, South Africa, and Southeast Asia, with the first automated workflow typically live in about 8 weeks. An AI OCR pipeline we built for gas station operations processes 20,000+ daily fuel transactions with zero manual data entry. Contract automation for a US legal services firm cut turnaround time by 90%, replacing a 2-hour manual process per engagement. Automated weekly reporting pipelines saved one US operations team 8 hours per week per analyst by eliminating manual assembly from 4 source systems.
Automation pays off when the process repeats and the structure holds.
Everything on the left should already be true for your operation. Even one thing on the right, and the process isn't ready to automate against yet.
A fit01A repetitive document process, contracts, invoices, reports, or forms, that your team runs the same way every week.
02Predictable document structure and consistent data sources, so the work is mechanical rather than judgment-heavy.
03Enough volume that manual handling already costs real hours, and budget for a scoped build.
Not a fitA one-off document task that happens rarely, not a recurring high-volume process.
Documents that need genuine human judgment on every case, not mechanical processing.
No consistent template or data source yet, so there's nothing stable to automate against.
What we build
Document automation capabilities
01Document data extraction
AI extraction of structured data from contracts, invoices, purchase orders, forms, and reports, using OCR, GPT-4o, and Claude matched to each document type. Every field returns a confidence score, and low-confidence values route to human review instead of silently corrupting your data. Accuracy is tracked per document type with degradation alerts.
02Automated document generation
Template-based document assembly that generates contracts, proposals, SOWs, and reports from your data, in the exact Word, PDF, or HTML format recipients expect. Conditional clause logic handles the business rules, and variables pull straight from your CRM or ERP to eliminate transposition errors. Generation takes under 30 seconds, replacing a 2-hour manual process.
03Intelligent document classification
AI that reads incoming documents, emails, uploads, and scanned mail, and classifies them by type, urgency, and routing destination before any human touches them. A classifier trained on your historical document corpus beats generic models on your specific mix, high-confidence documents process automatically, and corrections feed back into retraining.
04Approval and signature workflows
Digital approval chains with conditional routing based on document type, extracted value, jurisdiction, or risk level, replacing the email chain that loses track of who approved what. Approvers act from web, email, or Slack, with binding DocuSign or Adobe Acrobat Sign e-signatures and a full audit log of every action.
Automated report generation that pulls data from your source systems, applies your calculation logic, and produces the finished report in the format recipients expect, delivered to Excel, SharePoint, or Slack. Scheduled runs deliver weekly management packs, monthly filings, and daily dashboards, and data freshness checks hold the report if a source has not updated to prevent silently incomplete reports.
06Contract lifecycle management
End-to-end contract management from first draft through execution, storage, and renewal alert, built for teams managing high contract volumes. A version-controlled template library turns first drafts into minutes, AI review flags non-standard clauses and extracts time-bound obligations into a shared calendar, and renewal alerts at 90, 60, and 30 days trigger one-click renewal.
The team that scopes your document process is the team that ships the automation. The engineers who map every document type and data path in week 1 are the ones building against them in week 8, no handoff, no switch after the contract is signed.
The price is fixed before development starts. We scope the work, calculate the cost, and lock it in writing, so a scope change is a priced change request, never a line item that quietly appears on the final invoice.
Nine years and 100+ products back the work, for clients including Vodafone, T-Mobile, Aldi, Nike, Cisco, and Lockheed Martin, across AI, SaaS, mobile, automation, and enterprise platforms in healthcare, fintech, logistics, and hospitality. Clients rate the work 4.9 out of 5 on Clutch.
Compliance is scoped in week 1, not retrofitted before launch. GDPR, HIPAA, and SOC 2 requirements, document audit trails, access controls, and retention policies are designed into the system architecture from the start.
And the ROI is measurable from day one. Every system ships with accuracy dashboards and throughput metrics, so you know exactly how many documents were processed, what share went straight through without human review, and what volume hit the exception queue.
What document process is costing your team the most time?
Walk us through it. We'll tell you what an automated system would handle and what it costs to build.
How it works
From scope to shipped
Every project follows the same four phases. Scope is locked and price is fixed before development starts.
- Week 1
01Audit and scope
We map every document type, every data source, and every approval path in your process. You leave week 1 with a written scope document and a fixed-price quote. No development starts without your sign-off.
- Weeks 2-3
02Design and architecture
Extraction schemas, workflow state machines, and template logic defined before any code is written. Design decisions made here cost ten times less than the same decisions made in week 8.
- Weeks 4-12
03Build, integrate, and QA
Working automation at a staging URL by the end of sprint one. Bi-weekly demos. QA runs in parallel with every sprint, including accuracy validation on extraction and end-to-end workflow testing.
- Weeks 12+
04Launch and post-launch support
Production deployment with monitoring activated on launch day. 8 weeks of post-launch support included in every project. Accuracy dashboards live from day one.
Ready to scope your document automation project?
30 minutes. You walk away with a clear cost, timeline, and team. No commitment.
