Data-Driven Business Decisions: Laiye ADP Unlocks the Value in Your Documents

In the journey of digital transformation, document processing remains one of the most complex and critical challenges for enterprises. Invoices, contracts, orders, reports—these everyday documents carry essential business intelligence, yet they still rely heavily on manual effort and subjective judgment, falling short of true intelligence.

Laiye's latest whitepaper, "Laiye ADP: Document Processing in the Age of Agentic AI,"  reveals a technological leap in document processing and demonstrates how ADP (Agentic Document Processing) is reshaping how enterprises handle documents—intelligently, autonomously, and at scale.

The "last mile" of document processing

Documents are central to business—but they’re also the bottleneck in process automation. Traditional approaches can’t truly understand content; they only recognize and extract. When layouts change, languages vary, or scenarios fragment, traditional tools fail, increasing manual rework. Key limitations include:

High labeling costs: Hundreds of samples per document type; re-labeling when templates change

Fragmented scenarios: One model per use case, covering only 10–20% of document types

Limited multilingual support: Separate models per language, driving up costs

Disconnected systems: Multiple tools that don’t integrate or scale

ADP: a new paradigm for document processing

Earlier systems required users to define templates, set rules, and label fields—teaching the system how to process. Laiye ADP is different. Built on large language models and vision-language models, combined with agentic technology, ADP delivers end-to-end automation with:

· General understanding across languages and formats

· Autonomous planning and execution

· Seamless integration into business workflows

ADP marks two fundamental shifts:

· From recognition to understanding—not just extracting data, but grasping meaning and intent

· From tool to agent—not a passive system, but an active partner that executes tasks based on goals

With ADP, there’s no need for templates, labeling, or model retraining. Just describe your need in natural language—like “Extract supplier, amount, tax, and line items from these invoices”—and ADP handles the rest.

LLM ≠ ADP: the engine vs. the system

While LLMs offer powerful comprehension, they lack memory, can’t learn from use, and can’t handle multi-step tasks. Enterprises can’t use raw LLMs for document processing—they need an application layer.

Laiye ADP adds three key capabilities for enterprise readiness:

· General Understanding: Zero-shot, annotation-free support for 100+ languages and formats—truly plug-and-play

· Autonomous Execution: Agents understand goals, orchestrate models and tools, adapt to exceptions, and deliver end-to-end results

· Human-in-the-Loop Collaboration: Full automation with continuous improvement. A data flywheel ensures ADP gets smarter with use, evolving into a specialized digital employee

Data is digitized, but intelligence is not. Documents still face the bottleneck. Laiye ADP  transforms document processing from an isolated task into a dynamic entry point to your enterprise agent ecosystem. Unlock smoother data flow, faster decisions, and smarter collaboration.

Ready to bridge the gap between data and intelligence? Click to download our whitepaper, "Laiye ADP: Document Processing in the Age of Agentic AI," and discover the future of automated document processing.