// Document Intelligence Platform

Documents in.
Structure out.

eFormsAndMore.ai is the AI document processing platform behind The Records Resource Group's managed governance service. Production pipelines that ingest unstructured documents and produce auditable, structured output — at scale, in regulated environments.

Capabilities → Delivered as a managed service →
platform: {
  pages_processed_monthly: "unlimited",
  document_types: ["invoices", "contracts", "forms", "correspondence", "and more"],
  verticals: ["financial", "legal", "k12", "manufacturing", "and more"],
  deployment: "managed_service",
  delivered_through: "The Records Resource Group"
}
// 01 — Capabilities

What the platform does.

Six capabilities that compose into governed, intelligent document workflows. Built and deployed today — not on a roadmap.

/01

Auto Document Classification

Automatically ingests unstructured PDFs, images, and emails. Classifies by document type, business context, and retention category — at production accuracy.

claude azure-doc-intel
/02

Structured Data Extraction

Extracts vendor codes, invoice numbers, dates, amounts, contract terms, signatures — into auditable structured output ready for downstream systems.

configurable-prompts cosmosdb
/03

Intelligent Workflows

Routes documents through approval, exception handling, and integration with ERP, accounting, and case management systems — under human-in-the-loop oversight.

azure-functions webhooks
/04

docmgt Integration

Native delivery into the docmgt document management platform we resell as a managed service. Documents arrive classified, indexed, and routed.

docmgt api-integration
/05

Audit-Ready Logging

Every prompt, every output, every human decision logged with timestamps and version tracking. Designed for regulated environments where the audit trail is the product.

defensible retention
/06

Configurable Prompts

1,000+ configurable prompts stored centrally. Industry-specific extraction logic, vertical-tuned classification, and use-case-specific reasoning — all governed.

prompt-library version-control
// 02 — Architecture

The technology stack.

Cloud-native, enterprise-grade, and built around the constraints regulated environments actually have.

// AI
Anthropic Claude API — production-grade LLM for classification, extraction, and reasoning. Configurable prompt library stored in Cosmos DB.
// Compute
Azure Serverless — Functions, Logic Apps, and Container Apps for elastic document processing without infrastructure management overhead.
// Storage
Azure Blob + Cosmos DB — durable document storage and configurable prompt management with global replication and audit logging.
// DMS
docmgt — the document management platform we resell as a managed service. Native delivery from the AI pipeline into the system of record.
// Output
Structured CSV/JSON — clean, auditable output ready for ERP, accounting, case management, and downstream systems.
// Compliance
Defensible by design — every decision logged, every prompt versioned, every output traceable. Built for the regulators who will eventually ask.
// 03 — For Whom

"Bundled by eFormsAndMore.ai. Powered by docmgt."

eFormsAndMore.ai is the AI intelligence layer — the configurable prompts, classification, extraction, and workflow logic that turn unstructured documents into governed, structured output. docmgt is the document management system of record underneath: durable storage, indexing, retention, and the audit trail.

Together, they're the technology bundle behind The Records Resource Group's managed records and information governance service. Clients don't license either platform separately — they subscribe to RRG and get the bundle as part of the service.

Technology buyers asking "but who built the AI?" land here. Business buyers asking "how do we get records under control?" land at RRG.

// Want the managed service? Visit The Records Resource Group →
// 04 — Calculator

Run the numbers.

Estimate what your team currently spends on document processing — and what intelligent automation could return. Sixty seconds. No email required.

// inputs
Number of employees 15
Average loaded hourly cost $45/hr
Estimated hours saved per employee per week 5 hrs
Platform monthly investment $2,500/mo
// output
total_monthly_employee_cost: $108,000,
monthly_time_saved_hrs: 300 hrs,
time_saved_in_cost: $13,500,
platform_investment: $2,500/mo,
monthly_savings: $11,000,
annual_savings: $132,000,
records_compliance: "priceless"
// monthly savings
$11,000
// annual savings
$132,000
After platform investment. Based on 4-week month, 40-hour work week.
// Discuss what these numbers mean for your operation Book a 15-Minute Call →

Direct calculation: monthly time saved = employees × hours saved per week × 4 weeks. Time saved in cost = time saved × hourly cost. Monthly savings = time saved cost − platform investment. Adjust the sliders to model your specific scenario, or schedule a call to discuss what's realistic for your operation.