fileAI

What fileAI does

fileAI, formerly Bluesheets, processes business files into structured data and connects that data to operational workflows. The official newsroom documents the 2024 rebrand, and the current legal terms identify Bluesheets Pte Ltd as the company trading as fileAI.

The current product family includes fileForge as the data preparation foundation, fileLedger for financial operations and fileShield for insurance and related case workflows. It is relevant to finance, insurance and operations teams whose work requires extracting information, checking it against other records and moving a reviewed result into a business system.

From files to a structured record

The fileForge platform combines document mapping, extraction and schema preparation. Scout identifies document elements and helps isolate relevant sections before deeper processing. Schemas define the structure of the output, while enrichment and reconciliation address information spread across files or systems.

The documentation describes processing PDFs, spreadsheets, text documents and images, aligning data to schemas and enriching information across files. API and MCP routes provide ways to connect this preparation layer to other software or agents. Choosing useful fields and a clear target schema remains a business requirement, even when AI helps generate the structure.

Validation and operational workflows

fileAI describes citations, timestamps, validation checklists and human review controls around extracted and transformed data. These are useful when a reviewer needs to trace a field back to its source or understand why a case was routed for attention. Workflow rules can connect prepared outputs to enterprise systems and subsequent actions.

fileLedger focuses on financial capture, coding, matching, reconciliation and posting. fileShield focuses on assembling case evidence, applying policy or risk logic and routing work toward action or human judgment. These products address different operational outcomes; an extraction workflow is not automatically a configured accounting or claims process.

An example finance implementation

A finance team could define the invoice fields it needs, connect the relevant intake and accounting systems, and configure validation against supplier and transaction records. Incoming files would be classified and extracted, then checked for missing or conflicting information. A reviewer could resolve exceptions using the source evidence before an approved result is posted or exported.

Start with representative documents, including unusual layouts and incomplete packets. Compare the structured output with the source, check how corrections are recorded and verify the destination mapping. This establishes whether the configured workflow handles the team's real exceptions, rather than only a clean sample document.

Pricing, access and limitations

The current pricing page describes a move from per-page billing toward completed Agent Flow runs. Each agent defines its billable outcome, and some exceptions may count as completed when the contract explicitly says so. Rates and volume plans vary by agent, with custom configurations available through sales. Define what counts as a run for your process before comparing it with page-based software.

The site offers account signup and demos, but some agents are marked as coming soon. Confirm the specific agent, integration and workflow you intend to deploy. AI extraction and validation do not eliminate source quality problems, missing evidence or the need for qualified review of financial and insurance decisions.