Nearly every modern organization faces a paradox: never has so much information been available, and never has it been so hard to find exactly what you need, when you need it. Traditional document management systems solved the storage problem. But they created a new one: retrieval and comprehension.
Storing a document is not the same as accessing its knowledge. An 80-page contract sitting in a DMS is retrievable. But answering, in real time, the question "is there any clause in this contract that caps indemnification below $500,000 USD?" requires reading it—and understanding it—before you can respond. Multiply that by thousands of contracts, and the task becomes humanly impossible at the speed of business.
Aliee solves that problem. Not at the level of a keyword search engine, but at the level of an analyst who understands the business meaning of a document and can reason about it.
IDC published a comprehensive 2023 study on the cost of inefficient document management in Latin American companies. Its findings are alarming in their specificity:
Those figures explain why intelligent document management is not an IT problem: it is a business problem that affects operating profitability.
The starting point for understanding Aliee's document capabilities is to grasp what conventional OCR does—and where Aliee goes fundamentally further.
OCR (Optical Character Recognition) converts images of text into digital text. It is a 30-year-old technology that remains useful for basic digitization. The problem is that it produces text—a sequence of characters—with no understanding of what that text means. OCR does not know that "the tenant agrees to pay a monthly amount of $45,000 MXN" is a contractual financial obligation involving a figure, a frequency, a currency, and two parties with defined roles.
Aliee's SLM Document Engine operates at a fundamentally different level:
Aliee identifies named entities (people, organizations, dates, amounts, places) and the relationships among them. It does more than extract "45,000 MXN": it knows that amount is tied to the tenant's payment obligation, on a monthly basis, in the context of a lease agreement between specific parties.
Aliee recognizes the logical structure of different document types: it knows how a contract is organized, which sections are typical of a credit file, and what an audit report looks like. This structural understanding lets it navigate complex documents to find specific information without reading the entire contents.
This is the level that separates Aliee from any conventional document management system. Once it has processed a document, Aliee can reason about its content: answering questions that are not explicitly in the text but can be inferred from it, identifying inconsistencies across related documents, and flagging clauses that violate internal policies or external regulations.
Aliee processes the documents in a credit file—financial statements, articles of incorporation, proof of address, bank statement, tax return—and automatically generates:
Processing time: under 4 minutes per file, regardless of document volume. A human analyst takes between 45 and 90 minutes.
Aliee builds a digital knowledge twin of each asset—compressor, pump, reactor, exchanger—integrating the manufacturer's manual, maintenance history, inspection reports, and relevant P&IDs. When a technician asks "what is the bolt torque spec for this pump's impeller?", Aliee retrieves the exact specification from the current manual in seconds.
Aliee analyzes a contract portfolio and answers questions such as: "How many contracts expire next quarter, and what is the aggregate value?", "Are there contracts with automatic price indexation clauses?", "Does any contract carry an early-termination penalty above 15% of total value?". This kind of analysis, which would take weeks of legal work by hand, Aliee runs in minutes.
Forrester conducted a Total Economic Impact (TEI) study on the effect of cognitive document analysis platforms at mid-sized Latin American companies. The results after 12 months of operation:
| Impact area | Average result |
|---|---|
| Reduction in document search time | -76% |
| Reduction in errors from outdated documents | -83% |
| Increase in file analysis speed | +640% (from 90 min to 4 min per file) |
| Reduction in audit response time | -68% |
| Annual savings per FTE on search and review activities | $18,400 USD per analyst |
(Forrester, "TEI of Cognitive Document Analysis in LATAM Enterprises," 2024)
The right question is not "how much does it cost to implement intelligent document management with Aliee?" The right question is "how much is it costing us not to have it?"
With the IDC figures cited at the start of this article—$2.1 million a year for a 500-person company—the answer is clear: in most cases the cost of document inefficiency exceeds the cost of implementing Aliee in the first year. From the second year on, it is net benefit.
The knowledge your organization has generated over the years—in contracts, files, reports, manuals, procedures—is a dormant asset. Aliee activates it.
— Andrés Lozada, Executive Director | Sumato